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    <title><![CDATA[Fewer Late Nights, Not Fewer Humans]]></title>
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    <description><![CDATA[<p><strong>Fewer Late Nights, Not Fewer Humans</strong> is about turning AI into real productivity gains - for you and for your team.</p><p>Hosted by Alastair McDermott of HumanSpark, this show is for business leaders who want to work smarter and faster with AI, and then scale those wins across their team and their organisation. It is about embedding AI into how work actually gets done, in weeks rather than quarters.</p><p>Episodes cover:</p><ul><li><p>Where AI genuinely saves time in a working week, and where it quietly costs you time instead.</p></li><li><p>How to get a team using AI well without a six-month change programme.</p></li><li><p>What to do about the ethical, legal and people questions that come with it.</p></li><li><p>How other leaders are making it work, in their own words.</p></li></ul><p>You will find interviews with operators, solo episodes on what is working right now, and short pieces on single ideas worth your time.</p><p>Subscribe if you would rather have fewer late nights, rather than fewer humans!</p>]]></description>
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    <copyright><![CDATA[© Copyright 2023-2026 HumanSpark AI Ltd. All Rights Reserved.]]></copyright>
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      <title>Fewer Late Nights, Not Fewer Humans</title>
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    <podcast:license>© Copyright 2023-2026 HumanSpark AI Ltd. All Rights Reserved.</podcast:license>
    <itunes:author>Alastair McDermott - HumanSpark.ai</itunes:author>
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      <title><![CDATA[The Dark Side of AI: Ethical Landmines Every Business Leader Needs to Know]]></title>
      <itunes:title><![CDATA[The Dark Side of AI: Ethical Landmines Every Business Leader Needs to Know]]></itunes:title>
      <description><![CDATA[You can train an AI on data containing no bias at all and still end up with a biased system. Understanding why is the difference between a working deployment and a reputational problem.

Alastair McDermott talks to AI ethics specialist Tom Murphy about the failures that do not announce themselves. Recorded December 2024.

They get into:

- What "alignment" actually means, stripped of the science fiction
- Proxies: how postcodes, titles and car colours smuggle protected traits back in
- How to test your own system for subgroup bias, concretely
- The trolley problem, four hundred data scientists, and what they could not agree on
- The cancer drug distribution dilemma, which nobody in the episode resolves

Listen now, wherever you get your podcasts.]]></description>
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      <pubDate>Thu, 05 Dec 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="0" title="Introduction: worse than carelessness"/>
        <psc:chapter start="35" title="The dark side of AI"/>
        <psc:chapter start="1:14" title="Meet Tom Murphy, AI ethics specialist"/>
        <psc:chapter start="2:22" title="Why every ethics talk needs a content warning"/>
        <psc:chapter start="2:53" title="What &quot;alignment&quot; actually means"/>
        <psc:chapter start="5:04" title="Explainable AI vs. black boxes"/>
        <psc:chapter start="6:26" title="Testing, whack-a-mole and escaping guardrails"/>
        <psc:chapter start="7:43" title="You can't verify a human's alignment either"/>
        <psc:chapter start="8:27" title="GDPR, protected data and trading responsibly"/>
        <psc:chapter start="10:02" title="Biased data in, biased AI at scale"/>
        <psc:chapter start="10:58" title="Proxies: pink cars, Mr and Mrs, postcodes"/>
        <psc:chapter start="12:58" title="How to test for subgroup bias"/>
        <psc:chapter start="13:58" title="The perfect data set that still became racist"/>
        <psc:chapter start="16:28" title="An exchange rate for people"/>
        <psc:chapter start="17:43" title="Baseline performance and protecting your reputation"/>
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        <psc:chapter start="22:24" title="Testing what your AI says in your voice"/>
        <psc:chapter start="23:46" title="What to tell your staff: human in the loop"/>
        <psc:chapter start="26:02" title="Building your own AI and cleaning your data"/>
        <psc:chapter start="28:33" title="Protected traits, and the ones nobody protected"/>
        <psc:chapter start="30:03" title="Blue skies, grey skies and the tank detector"/>
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        <psc:chapter start="34:13" title="Postcodes, inherited bigotry and cul-de-sacs"/>
        <psc:chapter start="36:15" title="Listener question: pushback from the anti-DEI crowd"/>
        <psc:chapter start="37:18" title="The cancer drug distribution dilemma"/>
        <psc:chapter start="41:43" title="Questions humans haven't answered either"/>
        <psc:chapter start="42:53" title="Tesla and the trolley problem in the real world"/>
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      <title><![CDATA[Why Your AI Strategy Is Too Complicated (And How to Fix It)]]></title>
      <itunes:title><![CDATA[Why Your AI Strategy Is Too Complicated (And How to Fix It)]]></itunes:title>
      <description><![CDATA[Most failed AI projects are not too timid. They are far too ambitious.

Alastair McDermott talks to Michael Zipursky, CEO and co-founder of Consulting Success, who has advised organisations from startups to billion-dollar corporations across more than seventy-five industries, about why simple beats sophisticated almost every time. Recorded November 2024.

They get into:

- The "big solution" trap, and why five use cases at once produces none
- Build or buy, and the question nobody asks before signing
- What happened when an AI sales tool was pitched to him, and the brand risk underneath it
- Using AI to find your own use cases, rather than guessing at them
- Why he thinks subject-matter expertise gets more valuable, not less

Listen now, wherever you get your podcasts.]]></description>
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      <pubDate>Thu, 28 Nov 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="37" title="Is your AI strategy too complicated?"/>
        <psc:chapter start="1:02" title="Meet Michael Zipursky, Consulting Success"/>
        <psc:chapter start="1:30" title="Why excitement leads to waste and inefficiency"/>
        <psc:chapter start="3:23" title="The &quot;big solution&quot; trap: five use cases at once"/>
        <psc:chapter start="5:39" title="Plausible but wrong: what humans aren't used to"/>
        <psc:chapter start="7:00" title="Two categories: building custom vs buying tools"/>
        <psc:chapter start="8:01" title="The AI SDR pitch and the brand risk nobody checks"/>
        <psc:chapter start="11:08" title="&quot;Can you help me spam people better?&quot;"/>
        <psc:chapter start="11:56" title="AI talking to AI, and the broken recruitment loop"/>
        <psc:chapter start="13:40" title="Agents, AI-optimised websites and API-first futures"/>
        <psc:chapter start="15:16" title="If we can imagine it, we'll eventually build it"/>
        <psc:chapter start="18:40" title="To skeptical business owners: exploring isn't optional"/>
        <psc:chapter start="21:36" title="How to choose tools without chasing every release"/>
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      <title><![CDATA[Why AI Adoption Starts With Your Business Model]]></title>
      <itunes:title><![CDATA[Why AI Adoption Starts With Your Business Model]]></itunes:title>
      <description><![CDATA[Most AI pilots die at the end of the pilot. The reason is usually not the technology.

Alastair McDermott talks to Patrick Ward, who spent twelve years at Microsoft shaping their global approach to IoT and AI and now lectures at UCD Smurfit Business School, about why proofs of concept so rarely become anything. Recorded November 2024.

They get into:

- The three fundamental truths that decide whether a pilot scales
- Why ten people in one company will give you ten different value propositions
- Bolt-on or rethink: the question that has to be answered before the build
- The talent gap his research found, which was not the one anybody expected
- Twenty real use cases produced by ten developers in a single morning

Listen now, wherever you get your podcasts.]]></description>
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      <itunes:episode>21</itunes:episode>
      <podcast:episode>21</podcast:episode>
      <pubDate>Fri, 22 Nov 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="1:15" title="Lots of proofs of concept, not a lot of scaling"/>
        <psc:chapter start="2:15" title="What IoT actually is (and where the B2B value sits)"/>
        <psc:chapter start="3:34" title="Connect a device to the cloud and your business model changes"/>
        <psc:chapter start="5:16" title="Why projects die at the end of the pilot"/>
        <psc:chapter start="6:35" title="Three fundamental truths about IoT and AI"/>
        <psc:chapter start="7:44" title="Getting the custodians of the business model in one room"/>
        <psc:chapter start="8:57" title="Alignment: ten people, ten different value propositions"/>
        <psc:chapter start="10:23" title="When you don't need a business model workshop"/>
        <psc:chapter start="12:22" title="Boiling it down: bolt-on vs. rethink"/>
        <psc:chapter start="14:45" title="What happens when you start with the technology"/>
        <psc:chapter start="15:29" title="The smart buildings payback case"/>
        <psc:chapter start="16:12" title="Why the HVAC sales team won't sell digital services"/>
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        <psc:chapter start="23:25" title="Drinking from the fire hose: keeping up with the pace"/>
        <psc:chapter start="24:54" title="Identify champions and keep learning"/>
        <psc:chapter start="25:36" title="Inside an AI envisioning session"/>
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        <psc:chapter start="37:35" title="Patrick's own productivity: transcript to workshop content"/>
        <psc:chapter start="39:08" title="The intermittent bug ChatGPT found in a code review"/>
        <psc:chapter start="40:15" title="Cutting through hype to real business value"/>
        <psc:chapter start="41:33" title="Taking the drudgery out: the lab scientists story"/>
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      <title><![CDATA[Why This Business Owner Says AI Will Change Everything]]></title>
      <itunes:title><![CDATA[Why This Business Owner Says AI Will Change Everything]]></itunes:title>
      <description><![CDATA[A twenty-person manufacturer cut its customer response time by seventy-five per cent. No AI department, no consultants, no budget for either.

Alastair McDermott talks to Ethan Wadsworth, director of sales and marketing at Discreet Heat, the company behind ThermoSkirt, about what small-company AI adoption actually looks like when it works. Recorded November 2024.

They get into:

- Why a twenty-person firm employs a full-time software developer
- How a hundred thousand Instagram followers competes with a million-pound budget
- The prompt he gives people who do not know where to start: write down five things you are bad at
- Cutting a lab's data entry by ninety per cent, and what those people do now
- Why he thinks the scarcity of knowledge was the whole economy, and what replaces it

Listen now, wherever you get your podcasts.]]></description>
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      <itunes:episode>20</itunes:episode>
      <podcast:episode>20</podcast:episode>
      <pubDate>Tue, 19 Nov 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="36" title="Meet Ethan Wadsworth and ThermoSkirt"/>
        <psc:chapter start="2:12" title="The family business: from packing boxes to sales director"/>
        <psc:chapter start="3:15" title="First contact with ChatGPT - and implementing too early"/>
        <psc:chapter start="4:57" title="Why a 20-person firm has a full-time software developer"/>
        <psc:chapter start="6:21" title="From email templates to &quot;smart templates&quot; in the CRM"/>
        <psc:chapter start="8:01" title="&quot;Anyone who thinks it's a fad is about to be swept off the pier&quot;"/>
        <psc:chapter start="9:55" title="AI washing and why AI becomes omnipresent"/>
        <psc:chapter start="11:09" title="A unique product, a loud market, and no competitors"/>
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        <psc:chapter start="13:46" title="The fourth lane: how small businesses overtake"/>
        <psc:chapter start="14:37" title="Teaching installers that rough footage is good enough"/>
        <psc:chapter start="16:41" title="Why the show goes out live: perfect is the enemy of good"/>
        <psc:chapter start="17:01" title="AI is a hammer, not a money printer"/>
        <psc:chapter start="20:21" title="Talking to ChatGPT in the car to write blog posts"/>
        <psc:chapter start="21:46" title="Turning unstructured conversations into plans and Gantt charts"/>
        <psc:chapter start="23:06" title="The business studies A-level that rewarded writing over ideas"/>
        <psc:chapter start="24:11" title="Building a custom GPT that sounds like you"/>
        <psc:chapter start="26:41" title="Garbage in, garbage out - and what SEO now rewards"/>
        <psc:chapter start="28:01" title="Toxic productivity, time blocking, and catching the bug"/>
        <psc:chapter start="29:11" title="&quot;Write down five things you're crap at&quot;"/>
        <psc:chapter start="30:21" title="The customer service email that doesn't sound like a robot"/>
        <psc:chapter start="32:21" title="Unlimited patience: removing the job nobody wants"/>
        <psc:chapter start="34:01" title="Case study: cutting lab data entry by 90%"/>
        <psc:chapter start="35:51" title="Unlocking human potential, not robbing jobs"/>
        <psc:chapter start="36:38" title="What AI means for schools and his four-year-old"/>
        <psc:chapter start="38:41" title="False plagiarism accusations and the detection problem"/>
        <psc:chapter start="39:31" title="An economy built on the scarcity of knowledge"/>
        <psc:chapter start="41:01" title="Using AI to pull the expertise out of yourself"/>
        <psc:chapter start="41:46" title="Final advice: start with the pain points"/>
        <psc:chapter start="43:16" title="Resources, the beginner's guide, and where to find Discrete Heat"/>
      </psc:chapters>
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    <item>
      <title><![CDATA[The Smart Way to Automate:  How to Implement AI That  Actually Works For Your Business with Heidi Araya]]></title>
      <itunes:title><![CDATA[The Smart Way to Automate:  How to Implement AI That  Actually Works For Your Business with Heidi Araya]]></itunes:title>
      <description><![CDATA[<p>Are you drowning in AI hype but still waiting to see real, tangible results for your business? You're not alone.</p>

<p>In this episode of Fewer Late Nights, Not Fewer Humans, host Alastair McDermott sits down with Heidi Araya, a process improvement consultant with over 25 years of experience driving multi-million dollar improvements through AI automation.</p>

<p>This insightful conversation cuts through the noise to reveal how businesses are using AI in the real world to save time, increase profitability, and gain competitive advantage. Through practical examples and case studies, Heidi shares her expertise on finding genuine value in AI implementation.</p>

<p>Key topics include:</p>

<ul><li>Why many businesses struggle to find value in AI implementations</li><li>How to identify the right AI use cases for your business</li><li>Real-world examples of successful AI automation</li><li>The future of AI in sales and customer service</li><li>Practical approaches to AI implementation without eliminating jobs</li></ul>

<p>Tune in to discover how you can move beyond the hype and start implementing AI solutions that deliver real results for your business.</p>

<p>Key Insights</p>

<ul><li>Many businesses struggle with AI because they focus on the tool first instead of identifying their specific business challenges</li><li>Recording meetings and calls can provide valuable data for AI processing, though privacy considerations need to be addressed</li><li>AI automation should focus on enhancing human capabilities rather than replacing workers</li><li>Smaller businesses may be better positioned to implement AI while maintaining jobs, as they need diverse skill sets</li><li>The capabilities of AI are rapidly evolving, requiring regular reassessment and experimentation</li></ul>

<p>Strategies</p>

<ul><li>Start by identifying pain points: "What makes you groan when you wake up?"</li><li>Use AI for automating repetitive tasks while maintaining human touch for important interactions</li><li>Implement proof of concepts before making large investments in AI solutions</li><li>Consider privacy implications when selecting AI tools and platforms</li><li>Record and analyze sales calls to improve performance and understanding of client needs</li></ul>

<p>Topics include: AI implementation, process improvement, business automation, sales automation, customer service, ai strategy, small business, practical ai applications, business transformation</p>

<p>Speakers: Heidi Araya Host: Alastair McDermott</p>

<p>Quotes</p>

<p>"So first of all, I ask them, what makes you groan? You wake up in the morning, you're ready to start your day, what makes you groan?" - Heidi Araya, 3:08, Fewer Late Nights, Not Fewer Humans</p>

<p>"It may not be today, it may not be tomorrow or even next year, but three years from now, they will wish that they had taken more action and kept on the forefront of it." - Heidi Araya, 29:33, Fewer Late Nights, Not Fewer Humans</p>

<p><b>Fewer Late Nights, Not Fewer Humans</b></p>

<p>🎙️+📺 SHOW: <b>Fewer Late Nights, Not Fewer Humans</b> is about turning AI into real productivity gains - for you and for your team. Hosted by Alastair McDermott of HumanSpark, it is for business leaders who want to work smarter and faster with AI, and then scale those wins across their team and their organisation. Join me to learn how AI can help you automate repetitive tasks, boost productivity, and create a more enjoyable workplace for your team.</p>

<p>📲 | FOLLOW on <a href="https://www.youtube.com/@HumanSparkAI">YouTube: Fewer Late Nights, Not Fewer Humans&nbsp;</a></p>

<p>🎓 COACHING: Explore opportunities to work with me: AI Thought Leadership Coaching</p>

<p>👑 BOOKS: Discover more by searching "Alastair McDermott" on<a href="https://www.amazon.com/stores/author/B017M706MU/allbooks"> Amazon</a></p>

<p>💻 - WEBSITE: <a href="https://humanspark.ai">https://humanspark.ai</a></p>]]></description>
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        <psc:chapter start="3:54" title="75% automatable, but he chose an AI voice receptionist"/>
        <psc:chapter start="5:10" title="Why not just a form or HouseCall Pro? AI as the personal touch"/>
        <psc:chapter start="6:50" title="Speed of response wins the sale"/>
        <psc:chapter start="7:08" title="Cloning yourself: AI avatars and transparency"/>
        <psc:chapter start="7:43" title="Train-the-trainer client: a &quot;911&quot; voice agent for his knowledge base"/>
        <psc:chapter start="9:11" title="Mining your sent email for repeated answers"/>
        <psc:chapter start="10:15" title="Cutting proposal writing from a full day to an hour with recorded sales calls"/>
        <psc:chapter start="10:51" title="Using AI to analyze coaching and sales calls for hidden objections"/>
        <psc:chapter start="13:07" title="The trade-off of recording every call"/>
        <psc:chapter start="14:15" title="Reading the terms: tools that train on your calls"/>
        <psc:chapter start="14:50" title="A privacy matrix: private vs. &quot;they say it's private,&quot; sensitive vs. not"/>
        <psc:chapter start="16:58" title="Local and edge AI, and the battery and energy cost"/>
        <psc:chapter start="18:10" title="Creative agency: 35 hours of market research down to four"/>
        <psc:chapter start="19:20" title="How AI changes sales: only 28% of a rep's time is selling"/>
        <psc:chapter start="20:10" title="AI reactivating dead lead databases and qualifying leads at scale"/>
        <psc:chapter start="21:05" title="Five people or five times the output? Two philosophies of productivity"/>
        <psc:chapter start="23:11" title="The automation engineer who automated herself out of a job"/>
        <psc:chapter start="24:16" title="Common mistakes: freezing, and buying tools without due diligence"/>
        <psc:chapter start="25:21" title="Start with a proof of concept"/>
        <psc:chapter start="25:38" title="Judging capabilities that keep moving: stuck on GPT-3.5"/>
        <psc:chapter start="27:07" title="HeyGen vs. Synthesia: the avatar nobody could tell was AI"/>
        <psc:chapter start="28:25" title="Is &quot;adopt AI or die&quot; overhyped? Three years from now"/>
        <psc:chapter start="29:02" title="Heidi's AI sales rep and where to find her"/>
        <psc:chapter start="29:53" title="Absolute Beginner's Guide to Using AI and closing"/>
        <psc:chapter start="30:17" title="Outro"/>
      </psc:chapters>
    </item>
    <item>
      <title><![CDATA[AI and the Future of Thought Leadership]]></title>
      <itunes:title><![CDATA[AI and the Future of Thought Leadership]]></itunes:title>
      <description><![CDATA[<p>This episode is a bit different. What you’ll hear is a demo of <b>Google Notebook LM</b>.</p>

<p>I gave it the entire 40,000 word manuscript of my book - at the time called <i>The AI-Powered Thought Leader</i>, now titled <i>Use AI. Stay Human</i>. </p>

<p>The tool then created this <b>AI-generated conversation</b> between two hosts, based entirely on the book text.</p>

<p>That’s what you’ll hear in this episode - the raw output from NotebookLM. It’s an example of what these new AI tools can do when you hand them a big chunk of text.</p>

<p><b>What to expect</b></p>

<ul><li>Two AI hosts talking through the ideas in my book.</li><li></li><li>No editing, explanation, or polish - this is straight from Notebook LM.</li><li></li><li>A glimpse at how AI can generate summaries and overviews from long-form content.</li><li></li></ul>

<p><b>Why I shared this</b></p>

<p>I wanted to be transparent: this is <b>AI-only audio</b>. It’s not perfect, but I thought it would be interesting to share what Notebook LM produced when I fed it a full book draft.</p>

<p>If nothing else, it gives you a sneak peek at some of the content of my book <i>Use AI, Stay Human</i>.</p>

<p></p>

<p><b>Quotes</b></p>

<p>"AI can write you a novel, but it can't write <i>your </i>novel."</p>

<p>"It's not about becoming a robot, but about becoming even more human." - Guest speaker This emphasises the importance of enhancing our human qualities as we integrate AI into our work.</p>

<p>Useful Resources</p>

<ul><li>"Use AI, Stay Human" by Alastair McDermott - A comprehensive guide to using AI in thought leadership</li><li>ChatGPT and other AI writing tools - Practical AI assistants for content creation</li><li>AI tools for research and data analysis - Resources to help you process information more efficiently</li></ul>

<p>About Me</p>

<p>I'm Alastair McDermott. I work as a podcaster, writer, and consultant, focusing on the use of AI in thought leadership. My book, "Use AI, Stay Human," offers a practical roadmap for using AI to enhance your expertise and increase your influence in the digital space. I've spent years exploring the intersection of technology and thought leadership, and I'm excited to share these insights with you.</p>

<p><b>Next Steps</b></p>

<p>If you're keen to power up your thought leadership with AI, you can read "Use AI, Stay Human" at <a href="https://humanspark.ai/books/use-ai-stay-human/"><b>humanspark.ai/books/use-ai-stay-human</b></a>. It's packed with actionable strategies and real-world examples.</p>

<p>I also invite you to join the conversation on social media using #AIPoweredThoughtLeader. Share your thoughts, experiences, and questions about AI in thought leadership.</p>]]></description>
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      <itunes:episode>18</itunes:episode>
      <podcast:episode>18</podcast:episode>
      <pubDate>Thu, 26 Sep 2024 19:49:07 GMT</pubDate>
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        <psc:chapter start="0" title="Cold open: AI as a tool you still have to learn"/>
        <psc:chapter start="34" title="Show intro: the AI Powered Business Leader"/>
        <psc:chapter start="1:02" title="Alistair sets up an experiment with guests who read his book"/>
        <psc:chapter start="2:10" title="Drinking from the fire hose: becoming a thought leader in the age of AI"/>
        <psc:chapter start="2:43" title="The book and the fear that AI will replace thought leaders"/>
        <psc:chapter start="3:29" title="AI can write you a novel, but not your novel"/>
        <psc:chapter start="4:02" title="AI agents as super-powered interns"/>
        <psc:chapter start="4:56" title="The smart intern who occasionally does drugs, and why to disclose AI use"/>
        <psc:chapter start="5:34" title="Case study: a unique value proposition built live with ChatGPT in 15 minutes"/>
        <psc:chapter start="6:36" title="What a unique value proposition actually is"/>
        <psc:chapter start="7:11" title="Empathy, creativity and critical thinking as the new power skills"/>
        <psc:chapter start="8:27" title="Advocating for responsible AI development"/>
        <psc:chapter start="9:02" title="Where to start: just dive in and brainstorm with ChatGPT"/>
        <psc:chapter start="10:09" title="AI could democratize thought leadership and level the playing field"/>
        <psc:chapter start="11:07" title="Alistair's framework versus a pile of tools"/>
        <psc:chapter start="12:36" title="Closing the deep dive"/>
        <psc:chapter start="13:04" title="The reveal: the whole conversation was made by Google NotebookLM"/>
        <psc:chapter start="14:20" title="Is this the future of podcasting? Send feedback on LinkedIn"/>
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        <psc:chapter start="15:21" title="Outro"/>
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    <item>
      <title><![CDATA[AI for SMEs: How to Thrive in the New Business Landscape]]></title>
      <itunes:title><![CDATA[AI for SMEs: How to Thrive in the New Business Landscape]]></itunes:title>
      <description><![CDATA[<p><b>Is your business ready for the AI revolution, or are you still stuck in the dark ages?</b> </p>
<p>In this eye-opening episode of Fewer Late Nights, Not Fewer Humans, host Alastair McDermott sits down with AI implementation expert Eric Bye to examine how businesses of all sizes can use AI. </p>
<p>Eric shares his wealth of experience in helping companies navigate the complex landscape of AI integration, offering practical advice on how to get started, avoid common pitfalls, and maximize the benefits of this fantastic technology. From identifying key workflows to addressing data privacy concerns, this episode is packed with actionable insights for business leaders looking to stay ahead of the curve.</p>
<p>Some of the valuable topics discussed include:</p>
<ul><li>How to identify AI opportunities within your existing business processes</li><li>The importance of benchmarking and quantifying AI improvements</li><li>Strategies for overcoming employee resistance to AI implementation</li><li>The future of AI in business, including voice interaction and automation</li></ul>
<p>Whether you're an AI skeptic or an early adopter, this episode will challenge your assumptions and provide a clear roadmap for using artificial intelligence in your business. Tune in now to ensure you're not left behind in the AI revolution!</p>
<p>Topic: ai implementation, business processes, workflow optimization, data privacy, employee training, ai adoption, technology integration, business efficiency, automation, digital transformation</p>
<p>Speakers: Guest: Eric Bye. Host: Alastair McDermott.</p>
<p>Key Insights:</p>
<ul><li>AI implementation should focus on augmenting and transforming jobs rather than replacing them</li><li>Businesses should start by mapping out their workflows and identifying areas where AI can add value</li><li>Data privacy and security are crucial considerations when implementing AI solutions</li><li>Many businesses are informally using AI through personal accounts, which poses risks</li><li>AI can improve both efficiency and the quality of outputs in various business processes</li><li>The future of AI in business includes more automation and proactive task management</li><li>Experimenting with AI tools is key to understanding their capabilities and limitations</li></ul>
<p>Arguments:</p>
<ul><li>AI implementation requires a collaborative approach to overcome employee skepticism and resistance</li><li>Enterprise-level AI solutions may be too complex and expensive for many SMEs</li><li>The current state of AI agents is still too clunky for widespread business adoption</li><li>Waiting for "perfect" AI solutions may cause businesses to fall behind competitors</li></ul>
<p>Conclusions:</p>
<ul><li>Businesses should start experimenting with AI now to build a foundation for future advancements</li><li>A balance must be struck between using AI capabilities and maintaining data privacy</li><li>AI implementation should be tailored to each business's specific needs and risk profile</li><li>Ongoing education and training are essential for successful AI adoption in businesses</li></ul>
<p>Quotes: Eric Bye, [17:29]: "If you ask an employee to create a presentation for, say, a pitch, there's a lot of there's something there's hundreds of 1000s of words or tokens that are unsaid, when you ask them to create that they understand your relationship with the client, they understand the history, they're probably see seed on a whole bunch of emails, they understand what's worked, and what hasn't in the past." - Fewer Late Nights, Not Fewer Humans</p>
<p>Eric Bye, [36:45]: "There's tons of opportunity today. And I think some people would like to wait until they they see it as perfect. But it's just different technology that operates differently, which makes people feel a little bit uncomfortable." - Fewer Late Nights, Not Fewer Humans</p>
<p>Find Eric at <a href="https://erictronai.com">https://erictronai.com</a></p>
<p>Find Alastair at &lt;</p>]]></description>
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      <itunes:episode>17</itunes:episode>
      <podcast:episode>17</podcast:episode>
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        <psc:chapter start="1:03" title="Roles, workflows and tasks: AI transforms jobs, not replaces them"/>
        <psc:chapter start="1:47" title="How an AI opportunity assessment starts"/>
        <psc:chapter start="3:01" title="Beyond efficiency: using AI to raise the value of consultant reports"/>
        <psc:chapter start="4:37" title="SMEs without SOPs: mapping workflows first"/>
        <psc:chapter start="6:06" title="Avoiding a solution in search of a problem"/>
        <psc:chapter start="7:27" title="Prioritising by efficiency gain, value add and complexity"/>
        <psc:chapter start="9:19" title="Benchmarking current task times so gains can be measured"/>
        <psc:chapter start="10:28" title="Change management and collaborative workshops"/>
        <psc:chapter start="11:12" title="What Eric actually sees: informal use, free accounts, early skepticism"/>
        <psc:chapter start="13:47" title="Data risks: GDPR, the Samsung leak and Otter auto-joining meetings"/>
        <psc:chapter start="15:47" title="The tradeoff between privacy and useful context"/>
        <psc:chapter start="16:28" title="The hundreds of thousands of unsaid tokens an employee already knows"/>
        <psc:chapter start="18:06" title="On-device, enterprise plans, or your own Llama instance"/>
        <psc:chapter start="19:25" title="Risk profile and trust: what mid-sized businesses should choose"/>
        <psc:chapter start="20:55" title="Practical rules: approved workflows, no PII, no pasted email threads"/>
        <psc:chapter start="22:31" title="Provider landscape and why your office suite picks your AI"/>
        <psc:chapter start="24:25" title="Copilot's 12-month commitment and underwhelming enterprise Gemini"/>
        <psc:chapter start="26:25" title="Alistair's wish: voice control of email and Asana"/>
        <psc:chapter start="27:38" title="Eric's wish: automatic CRM updates and lead qualification"/>
        <psc:chapter start="29:58" title="From reactive to proactive to predictive AI"/>
        <psc:chapter start="30:38" title="Why agents are still clunky: Python, CSS selectors and podcast uploads"/>
        <psc:chapter start="32:20" title="Agent UX: supervising interns instead of a black box"/>
        <psc:chapter start="33:56" title="The value available today with current tools"/>
        <psc:chapter start="36:00" title="The adjectives trick for removing AI-sounding writing"/>
        <psc:chapter start="37:45" title="Where to start: experiment, including with recipes"/>
        <psc:chapter start="39:12" title="Dictating long prompts and hour-long dog-walk conversations"/>
        <psc:chapter start="40:45" title="Where to find Eric and free discovery sessions"/>
        <psc:chapter start="41:27" title="Outro"/>
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      <title><![CDATA[How to Actually Use AI to Drive Business Growth]]></title>
      <itunes:title><![CDATA[How to Actually Use AI to Drive Business Growth]]></itunes:title>
      <description><![CDATA[One company bought twenty thousand AI licences and could not show a return on any of them. Where does the money actually come from?

Alastair McDermott talks to Alvaro Melendez, founder of Krant Creativity and Technology, about the gap between an impressive demo and a measurable result. Recorded August 2024.

They get into:

- Why handing someone a licence and walking away guarantees nothing happens
- The reframe that changes what people do with it: you did not buy a tool, you hired twenty thousand employees
- Which tasks actually paid off, and which flattered to deceive
- Why an AI council has to be internal, and what happens when it is not
- What he will not hand to AI at all, and where the human stays in the loop

Listen now, wherever you get your podcasts.]]></description>
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      <podcast:episode>16</podcast:episode>
      <pubDate>Thu, 08 Aug 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="1:50" title="The Chevron problem: 20,000 licences, no ROI"/>
        <psc:chapter start="3:04" title="Whose job is it to explain the use cases?"/>
        <psc:chapter start="4:39" title="Stop treating AI as a tool: the dupla"/>
        <psc:chapter start="5:59" title="Einstein serving coffee"/>
        <psc:chapter start="6:39" title="Copilot and the 10% email saving"/>
        <psc:chapter start="7:24" title="What actually pays: books, transcripts, data mining"/>
        <psc:chapter start="9:14" title="Breaking a creative director's job into tasks"/>
        <psc:chapter start="10:54" title="Reframe: you just hired 20,000 employees"/>
        <psc:chapter start="12:04" title="Better output wins the pitch"/>
        <psc:chapter start="13:39" title="A PhD intern in your pocket - and its blind spots"/>
        <psc:chapter start="14:54" title="Context windows, hallucinations and the lawyer who got caught"/>
        <psc:chapter start="16:19" title="Direction, leadership commitment and the knowledge gap"/>
        <psc:chapter start="18:34" title="The Titanic dataset exercise for senior leaders"/>
        <psc:chapter start="20:54" title="Mapping use cases onto a roadmap"/>
        <psc:chapter start="21:24" title="Why your AI council must be internal"/>
        <psc:chapter start="22:59" title="Bringing ethics and legal in early"/>
        <psc:chapter start="23:31" title="Culture has to come from the top"/>
        <psc:chapter start="24:04" title="Why GPT-3.5 and email assistants soured people"/>
        <psc:chapter start="26:44" title="Perception lagging behind capability"/>
        <psc:chapter start="27:24" title="Google's Gemini Olympics ad: exactly what not to do"/>
        <psc:chapter start="29:04" title="Get the fundamentals right"/>
        <psc:chapter start="30:44" title="Job fears and the dog sled analogy"/>
        <psc:chapter start="31:54" title="Use cases are business-specific - and found by doing"/>
        <psc:chapter start="33:04" title="Voice, and what's coming in 18 months"/>
        <psc:chapter start="34:04" title="Implode your own company before someone else does"/>
        <psc:chapter start="35:54" title="Recap: skepticism as an education failure"/>
        <psc:chapter start="37:34" title="Bias, guardrails and what shouldn't be automated"/>
        <psc:chapter start="39:04" title="Start with the willing ten"/>
        <psc:chapter start="39:54" title="Support groups and natural adoption"/>
        <psc:chapter start="41:24" title="Learning R over a weekend"/>
        <psc:chapter start="42:59" title="Real-time Irish translation"/>
        <psc:chapter start="44:39" title="Inside Krant and Ink Lantern"/>
        <psc:chapter start="46:44" title="Where the human stays in the loop"/>
        <psc:chapter start="48:04" title="What Alvaro won't hand to AI"/>
        <psc:chapter start="49:04" title="Where to find Alvaro, book note and close"/>
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    <item>
      <title><![CDATA[The Human Side of AI: Why Your Brain Fights Change - with Melina Palmer]]></title>
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      <description><![CDATA[Your team is not being difficult about AI. Their brains are doing exactly what brains are built to do.

Alastair McDermott talks to behavioural economist Melina Palmer, author of three books on how people actually make decisions, about why AI rollouts meet resistance that has nothing to do with the technology. Recorded July 2024.

They get into:

- The 35,000 decisions a day your brain is trying to avoid making
- Why how you announce a change matters more than what you are announcing
- A two-word email that ruined a working relationship, and the two minutes that would have fixed it
- How to introduce AI to a team without triggering the fear you are trying to avoid
- Why low-stakes competition and social proof move people that instruction cannot

Listen now, wherever you get your podcasts.]]></description>
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      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
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        <psc:chapter start="36" title="Meet Melina Palmer, Behavioural Economist"/>
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        <psc:chapter start="5:38" title="Why the Pace of AI Change Amplifies Resistance"/>
        <psc:chapter start="7:13" title="Framing: How You Say It Matters More Than What You Say"/>
        <psc:chapter start="8:43" title="&quot;We Need to Talk&quot; - An Email Case Study"/>
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        <psc:chapter start="17:43" title="Talking About Job Fears Without Making Them Worse"/>
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        <psc:chapter start="20:48" title="When People Just Want to Be Told How to Use It"/>
        <psc:chapter start="22:48" title="The Call Centre Study: Telling People to Slow Down"/>
        <psc:chapter start="25:33" title="Behavioural Baking: Start With the Box Cake Mix"/>
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        <psc:chapter start="29:23" title="Make It a Game: Low-Stakes AI Competitions"/>
        <psc:chapter start="32:33" title="It All Comes Down to Reducing Stress"/>
        <psc:chapter start="33:03" title="The Email Stats: 50% Misunderstood, 17 Hours Lost"/>
        <psc:chapter start="35:33" title="Social Proof and Lining Up the Herd"/>
        <psc:chapter start="38:03" title="Why Gamification Works: Dopamine, Streaks and Prestige"/>
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      <title><![CDATA[Forget Use Cases: How AI is Rewriting the Rules of Business Value - with Jack Nugent]]></title>
      <itunes:title><![CDATA[Forget Use Cases: How AI is Rewriting the Rules of Business Value - with Jack Nugent]]></itunes:title>
      <description><![CDATA[Everybody is hunting for AI use cases. What if "use case" is the wrong question to be asking?

Alastair McDermott talks to Jack Nugent of Tradavex, a consultancy that sits between the commodity markets and the technology being sold into them. Nugent's argument is that companies chasing quick wins and cost cuts are solving a much smaller problem than the one in front of them. Recorded July 2024.

They get into:

- Why "use cases" is a lazy term, and what replaces it
- The data your business could have but does not yet collect
- The two-hundred-employee thought experiment: do you cut, or do you arm them?
- Why the value sits in your own data rather than in the model everyone can rent
- Whether shipping is actually innovative, and what the inefficiency paradox says about that

Listen now, wherever you get your podcasts.]]></description>
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        <psc:chapter start="36" title="Are you chasing the wrong AI strategy?"/>
        <psc:chapter start="1:08" title="Is AI a fad? Why the internet comparison holds"/>
        <psc:chapter start="3:23" title="AI as prediction - and why judgment is different"/>
        <psc:chapter start="4:58" title="The data that doesn't exist yet"/>
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      <title><![CDATA[How AI Will Change EVERYTHING - with Justin Collery]]></title>
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      <description><![CDATA[<p>Are you feeling overwhelmed by the rapid advancements in artificial intelligence? Do you wonder how AI will impact your business, your workforce, and your industry? You're not alone!</p>

<p>In this episode of Fewer Late Nights, Not Fewer Humans podcast, host Alastair McDermott sits down with AI expert Justin Collery to discuss the undeniable, seismic shift that AI is bringing to every aspect of business and society.</p>

<p>They dive deep into the practical implications of AI, exploring the latest advancements in large language models, the power of AI agents, and the crucial role of capturing tacit knowledge in a world of rapid technological change.</p>

<p>Justin and Alastair also address the growing concerns around data privacy and security, highlighting the need for both individuals and businesses to proactively manage these risks.</p>

<p>This episode is packed with valuable insights and practical advice that you can implement today to prepare your business for the future of AI.</p>

<p>Here are just a few of the key takeaways:</p>

<ul><li><b>The importance of capturing tacit knowledge</b> – Record every meeting and store transcripts to unlock the hidden wisdom within your organization.</li><li><b>Reimagine your business from the customer's perspective</b> – Identify points of friction and use AI to streamline processes and deliver a superior customer experience.</li><li><b>Empower your employees with AI tools</b> – Provide access to powerful tools like ChatGPT and Claude, but ensure data privacy and security measures are in place.</li><li><b>Embrace the future of work</b> – Prepare for a world where AI automates tasks and your employees can focus on higher-level, more creative work.</li></ul>

<p>Key Insights</p>

<ul><li>The AI revolution is happening now, and it will significantly impact every business and industry.</li><li>Businesses need to actively embrace AI and proactively develop strategies for its integration.</li><li>Capturing tacit knowledge through meeting recordings and transcripts is essential for future AI-powered decision making.</li><li>AI will significantly impact the future of work, automating tasks and freeing up employees for more strategic roles.</li><li>Businesses must take data privacy and security seriously, implementing appropriate measures to mitigate risks.</li><li>The current AI tools are already powerful, but the true potential lies in the future development of more seamless and user-friendly tools.</li></ul>

<p>Arguments</p>

<ul><li>AI will not just change the way we work, but also how we live, communicate, and learn.</li><li>Organizations need to move beyond simply providing AI tools to employees and actively automate tasks and processes.</li><li>While powerful AI tools are available, the integration and adoption of these tools can be hindered by the inertia of organizations.</li><li>Despite concerns around data security, the benefits of AI for businesses far outweigh the risks.</li></ul>

<p>Conclusions</p>

<ul><li>Organizations that fail to adapt to the AI revolution will be left behind.</li><li>The future of business will be defined by the successful integration and implementation of AI.</li><li>The key to unlocking the full potential of AI lies in understanding the specific needs and challenges of individual businesses and industries.</li></ul>

<p>📺 SHOW: <b>Fewer Late Nights, Not Fewer Humans</b> is about turning AI into real productivity gains for you and your team. Hosted by Alastair McDermott of HumanSpark, it is for leaders who want to work smarter with AI and scale those wins across their organisation.</p>

<p>📲 | FOLLOW on YouTube: Fewer Late Nights, Not Fewer Humans</p>

<p>👑 BOOKS: Discover more by searching "Alastair McDermott" on Amazon</p>

<p>👑 - LINKEDIN: <a href="https://www.linkedin.com/in/AlastairMcDermott">https://www.linkedin.com/in/AlastairMcDermott</a></p>

<p>💻 - WEBSITE: <a href="https://humanspark.ai">https://humanspark.ai</a></p>]]></description>
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      <pubDate>Sat, 22 Jun 2024 04:56:22 GMT</pubDate>
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      <title><![CDATA[How AI is Disrupting Professional Services  (And What to Do About It) with Alan Weiss]]></title>
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      <description><![CDATA[<p>Are you worried that AI will make your business obsolete? In this episode of Fewer Late Nights, Not Fewer Humans, host Alastair McDermott talks to renowned consultant Alan Weiss about navigating the AI revolution.</p>

<p>AI promises huge efficiency gains, but is it a substitute for human expertise? Alan argues that overreliance on AI can lead to the "dumbing down" of critical skills. He emphasizes the importance of staying unique and providing true value that AI can't replicate.</p>

<p>In this insightful discussion, you'll learn:</p>

<ul><li>The role of "high-touch" service in an AI-driven world</li><li>Strategies for using AI as a tool without losing your competitive edge</li><li>How to build a brand that attracts clients based on your distinct value</li><li>Practical examples of the human element making a difference</li></ul>

<p>Don't miss this chance to future-proof your business and thrive in the AI age. Tune in now!</p>

<p>Topic: ai, business strategy, professional services, branding, value-based pricing, high-touch service</p>

<p>Speakers: Guest: Alan Weiss. Host: Alastair McDermott.</p>

<p>Key Insights:</p>

<ul><li>AI should be used as a tool, not a substitute for human expertise and value</li><li>Relying too much on AI can lead to the "dumbing down" of essential skills</li><li>Businesses must focus on providing "high-touch" personalized service to stand out</li><li>Building a strong personal brand showcasing unique value is crucial</li><li>Adopting value-based pricing over hourly rates can increase profitability</li></ul>

<p>Arguments:</p>

<ul><li>AI has its uses but shouldn't fully replace human mental acuity</li><li>Businesses using AI for customer service may lose the personal touch</li></ul>

<p>Opinions:</p>

<ul><li>AI is currently overrated and lacks nuance/personal voice (Alan Weiss)</li><li>Value-based fees better represent a consultant's worth than hourly rates (Alan Weiss)</li></ul>

<p>Conclusions:</p>

<ul><li>AI is a tool that should enhance, not replace, the unique value humans provide</li><li>The "high-tech, high-touch" balance is key for businesses to stay competitive</li><li>Building a strong personal brand focused on specific results is essential</li></ul>

<p>Quotes: "If you want to coast, you can only coast downhill. So you've gotta grow. So the law of business is - large and small, doesn't matter, any business - is that you have to grow, to sustain itself. And to grow, you have to innovate." - Alan Weiss on Fewer Late Nights, Not Fewer Humans</p>

<p>LINKS</p>

<ul><li><a href="https://alanweiss.com/">AlanWeiss.com</a></li><li>Book: <a href="https://alanweiss.com/shop/books/hardcover/million-dollar-consulting-sixth-edition/">Million Dollar Consulting</a></li><li><a href="https://humanspark.ai">humanspark.ai</a></li></ul>

<p>🎙️+📺 SHOW: <b>Fewer Late Nights, Not Fewer Humans</b> is about turning AI into real productivity gains for you and your team. Hosted by Alastair McDermott of HumanSpark, it is for leaders who want to work smarter with AI and scale those wins across their organisation.</p>

<p>📲 | FOLLOW on <a href="https://www.youtube.com/@HumanSparkAI">YouTube: Fewer Late Nights, Not Fewer Humans&nbsp;</a></p>

<p>🎓 COACHING: Explore opportunities to work with me: AI Thought Leadership Coaching</p>

<p>👑 BOOKS: Discover more by searching "Alastair McDermott" on<a href="https://www.amazon.com/stores/author/B017M706MU/allbooks"> Amazon</a></p>

<p><b>Expert Authority Builder Series:&nbsp;</b></p>

<p>👑 <b>33 Ways Not to Screw Up Your Business Podcast</b>: A Comprehensive Guide to Planning, Recording and Launching Your Business Podcast!&nbsp;</p>

<p>👑 <b>Quick Win Content</b>: How to Create a Single Piece of Engaging &amp; Effective Content That Resonates with Potential Clients and Generates Quality Leads</p>

<p>👑 <b>Efficient Content Creation</b>: A Practical Guide to Consistently Creating High-Quality Content in a Busy Schedule</p>

<p>👑 <b>How to Sound &amp; Look Good</b> on Zo]]></description>
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      <title><![CDATA[How Do Business Leaders Navigate AI? with Joanna Pineda]]></title>
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      <description><![CDATA[<p>As AI rapidly advances, business leaders face the daunting task of navigating its impacts - both the potential upsides and inevitable disruptions.</p>

<p>In this episode of The AI-Powerered Business Leader, Alastair McDermott sits down with Joanna Pineda, CEO and "Chief Troublemaker" at Matrix Group, a digital agency serving associations and nonprofits.</p>

<p>Joanna provides a refreshingly candid perspective on the role of AI in her company's deliberate strategy to "reinvent" itself every 3-4 years to stay ahead of technological shifts. She shares how Matrix has embraced open communication and experimentation around AI tools, from productivity aids to potential new AI-powered services.</p>

<p>The conversation dives into the often-avoided elephant in the room - the impact of AI on jobs and employees' valid concerns about getting displaced. Joanna offers a pragmatic approach centred on transparency, continuous learning, and using AI for growth rather than layoffs.</p>

<p>You'll gain valuable insights on:</p>

<ul><li>Creating a culture that embraces AI experimentation while addressing ethical considerations like data privacy</li><li>Practical ways to upskill teams and help them develop an "AI-augmented" mindset</li><li>How to have honest conversations about AI's impacts without stoking panic</li><li>Using AI as a force-multiplier by automating grunt work, not replacing human expertise</li></ul>

<p>Whether you're just beginning to explore AI's potential or are already on the journey, this candid discussion will equip you with a balanced, human-centric framework for leading your organization into the AI-powered future.</p>

<p><b>Resources</b></p>

<ul><li><b>Guest:</b> <b>Joanna Pineda</b>, CEO &amp; Chief Troublemaker at Matrix Group International</li><li><b>Her "Associations Thrive" Podcast:</b> <a href="https://www.matrixgroup.net/associations-thrive-podcast/">matrixgroup.net/associations-thrive-podcast</a></li><li><b>Matrix Group International:</b> <a href="https://www.matrixgroup.net/">matrixgroup.net</a></li></ul>

<p>👉 <b>Listen to more from Alastair and Fewer Late Nights, Not Fewer Humans at </b><a href="https://humanspark.ai/podcast/"><b>humanspark.ai/podcast</b></a></p>]]></description>
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        <psc:chapter start="37:16" title="Rejected from the Presidential Management Internship program"/>
        <psc:chapter start="38:32" title="The overnight success myth and the Queen of Tears traffic spike"/>
        <psc:chapter start="40:16" title="Where to find Joanna online"/>
        <psc:chapter start="40:53" title="Outro"/>
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    <item>
      <title><![CDATA[A Quick Note on Podcast Rename]]></title>
      <itunes:title><![CDATA[A Quick Note on Podcast Rename]]></itunes:title>
      <description><![CDATA[<p>This podcast is renaming slightly, so I've recorded a super short episode to explain that decision and what you can expect from this show in the future. </p>

<p>Thanks for listening!</p>

<p> - Alastair.</p>

<p><a href="https://humanspark.ai/podcast/">humanspark.ai/podcast</a></p>]]></description>
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      <pubDate>Wed, 12 Jun 2024 14:28:29 GMT</pubDate>
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      <title><![CDATA[AI Beyond the Hype: Practical Solutions for Real Businesses]]></title>
      <itunes:title><![CDATA[AI Beyond the Hype: Practical Solutions for Real Businesses]]></itunes:title>
      <description><![CDATA[<p><b>Are you overwhelmed by the hype surrounding AI? Do you struggle when it comes to figuring out the practical applications of AI in business?</b></p>

<p>In this insightful solo episode of Fewer Late Nights, Not Fewer Humans, Alastair McDermott delivers a presentation to a group of business owners, simplifying the principles of AI and providing actionable strategies for using this transformative technology in your business</p>

<p>Drawing from his expertise, Alastair tackles the questions on every business leader’s mind:</p>

<ul><li>How can we use AI to increase productivity and streamline repetitive tasks?</li><li>What are the ethical and legal considerations when using AI-generated content?</li><li>How can we stay ahead of the curve and future-proof our business with AI?</li></ul>

<p>Through this compelling presentation, you’ll gain valuable insights:</p>

<ul><li>AI is no longer a futuristic concept; it’s reshaping industries now, and businesses need to start implementing it to stay competitive.</li><li>AI can significantly increase productivity by automating repetitive tasks, analyzing research, reformatting content, and allowing experts to focus on their core expertise.</li><li>There are ethical and legal concerns around AI-generated content, such as potential biases, stolen training data, privacy issues, and questions of authorship and intellectual property.</li><li>Businesses should create an “AI-ready” culture by promoting AI literacy, exploring use cases, implementing policies, and continuously evaluating and experimenting with AI tools.</li></ul>

<p>Strategies:</p>

<ul><li>Appoint dedicated “AI teams” within different departments to explore AI use cases for the business.</li><li>Invest in AI education and training for employees to promote AI literacy.</li><li>Develop clear policies and guidelines for responsible and ethical use of AI, particularly concerning privacy and GDPR.</li><li>Continuously evaluate and experiment with new AI tools and frameworks as the technology rapidly evolves.</li></ul>

<p>Don’t miss this opportunity to separate hype from reality and unlock the potential of AI for your business. Tune in as Alastair McDermott shares his wisdom on navigating the age of artificial intelligence through this informative presentation.</p>]]></description>
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      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <pubDate>Wed, 22 May 2024 15:57:40 GMT</pubDate>
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        <psc:chapter start="1:34" title="Sam Altman's claim: 95% of marketing work handled by AI"/>
        <psc:chapter start="2:51" title="AlphaFold maps every possible protein"/>
        <psc:chapter start="3:39" title="Voice cloning from three seconds of audio"/>
        <psc:chapter start="3:57" title="WHO on diagnosing COVID from a cough sound"/>
        <psc:chapter start="4:35" title="Sora and text-to-video possibilities"/>
        <psc:chapter start="5:13" title="GPT-5 held back to let society adapt"/>
        <psc:chapter start="6:11" title="AI agents that book your flights and hotels"/>
        <psc:chapter start="7:13" title="Robotics gains reasoning and investment"/>
        <psc:chapter start="7:59" title="AGI: as smart as a human, and what that means for work and society"/>
        <psc:chapter start="9:13" title="Moderna case study: a few thousand performing like 100,000"/>
        <psc:chapter start="11:00" title="Altman on the speed of adaptation and the car replacing blacksmiths"/>
        <psc:chapter start="12:17" title="Podcast interviews with Mark Schaefer, Chris Do and an IP lawyer"/>
        <psc:chapter start="13:07" title="Productivity gains: automating grunt work"/>
        <psc:chapter start="13:44" title="Google AI Studio analyzed a 1,000-consultant survey in 25 seconds"/>
        <psc:chapter start="15:00" title="Reformatting a recording into a blog post"/>
        <psc:chapter start="15:32" title="Staying authentic: AI-written LinkedIn posts damage credibility"/>
        <psc:chapter start="16:29" title="Over-reliance risk: writing is how you develop your thinking"/>
        <psc:chapter start="17:13" title="&quot;Using AI to write a book is like using a car to run a marathon&quot;"/>
        <psc:chapter start="17:53" title="Where authorship blurs: dictation, tidying up, custom GPT trained on your books"/>
        <psc:chapter start="19:41" title="US ruling that AI-generated work isn't copyrightable"/>
        <psc:chapter start="20:22" title="Inbuilt bias: the &quot;beautiful woman&quot; image test"/>
        <psc:chapter start="21:56" title="Stolen training data, the New York Times lawsuit and Terry Pratchett's estate"/>
        <psc:chapter start="23:00" title="GDPR blocking European access to Google AI Studio"/>
        <psc:chapter start="23:39" title="AI note takers and what clients unknowingly hand over"/>
        <psc:chapter start="25:34" title="Building an AI-ready business: internal AI teams and literacy"/>
        <psc:chapter start="26:34" title="Start with use cases; set an AI policy"/>
        <psc:chapter start="27:00" title="Erin Austin on content you sell versus a LinkedIn post"/>
        <psc:chapter start="27:53" title="Continuous evaluation: no place for head in the sand"/>
        <psc:chapter start="28:16" title="Looking for case study businesses; book a virtual coffee"/>
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      <title><![CDATA[AI vs. Content Marketing: Marcus Sheridan's Secrets to Staying Ahead]]></title>
      <itunes:title><![CDATA[AI vs. Content Marketing: Marcus Sheridan's Secrets to Staying Ahead]]></itunes:title>
      <description><![CDATA[Content marketing's promise was that if you answered your customers' questions honestly, you would win. So what happens when anyone can generate those answers in seconds?

Alastair McDermott talks to Marcus Sheridan, author of They Ask, You Answer, who is back for a second conversation. Sheridan is the man whose swimming pool company survived 2009 by answering the questions its competitors would not, and he has strong opinions about what AI does to that playbook. Recorded May 2024.

They get into:

- Why "we don't have the resources" stopped being a defensible excuse
- The two objections to AI content, and why Sheridan thinks both are people lying to themselves
- Why he believes the fiduciary duty to learn this now sits with leadership
- What happens to a business built on search when buyers stop searching
- His eighteen-month prediction about avatars, which you can now check

Listen now, wherever you get your podcasts.]]></description>
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      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <pubDate>Tue, 21 May 2024 00:00:00 GMT</pubDate>
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        <psc:chapter start="2:10" title="How content saved a swimming pool company in 2009"/>
        <psc:chapter start="3:50" title="AI kills the &quot;we don't have the resources&quot; excuse"/>
        <psc:chapter start="4:15" title="Why most companies still won't talk about price"/>
        <psc:chapter start="5:10" title="AI pricing calculators and priceguide.ai"/>
        <psc:chapter start="6:38" title="Myth one: &quot;AI content isn't good&quot; - look in the mirror"/>
        <psc:chapter start="8:05" title="Myth two: &quot;AI isn't creative&quot; - stop lying to yourself"/>
        <psc:chapter start="9:55" title="Warp speed: you can't fit the future in containers of the past"/>
        <psc:chapter start="13:10" title="Marcus's TikTok mistake and raging against the machine"/>
        <psc:chapter start="15:20" title="No website in 2000, no email in 1997 - history repeating"/>
        <psc:chapter start="16:15" title="Becoming a multiplier of your time and talent"/>
        <psc:chapter start="16:40" title="Emotional dishonesty about AI and job loss"/>
        <psc:chapter start="17:50" title="AGI, doomsday movies and the circle of influence"/>
        <psc:chapter start="20:10" title="White collar trouble, blue collar boom"/>
        <psc:chapter start="21:30" title="What &quot;getting on board&quot; actually looks like"/>
        <psc:chapter start="23:40" title="Paying your team to experiment and appointing AI champions"/>
        <psc:chapter start="25:50" title="Is AI overhyped? Marcus pushes back"/>
        <psc:chapter start="29:40" title="The fiduciary duty to learn - and why AI won't stay a &quot;tool&quot;"/>
        <psc:chapter start="31:30" title="Google, the pride cycle, Kodak and Blockbuster"/>
        <psc:chapter start="34:30" title="Life after search: sending signals AI wants to recommend"/>
        <psc:chapter start="35:10" title="Why YouTube, social and video matter more now"/>
        <psc:chapter start="36:40" title="When buyers ask AI for recommendations instead of Google"/>
        <psc:chapter start="37:35" title="The avatar on your website: Marcus's 18-month prediction"/>
        <psc:chapter start="40:40" title="The uncanny valley is temporary"/>
        <psc:chapter start="41:45" title="How to keep pace with a moving target (you don't)"/>
        <psc:chapter start="42:50" title="Real job security comes from innovating, not just using"/>
        <psc:chapter start="44:10" title="Where to start: tell ChatGPT what you're afraid of"/>
        <psc:chapter start="45:55" title="Where to find Marcus online"/>
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      <title><![CDATA[AI vs. IP? A Legal Perspective on AI and Content Creation]]></title>
      <itunes:title><![CDATA[AI vs. IP? A Legal Perspective on AI and Content Creation]]></itunes:title>
      <description><![CDATA[<p>Feeling lost in the legal complexity of AI-powered content creation? Seasoned lawyer Erin Austin shares essential insights that will empower business leaders and content creators to navigate the complex legal landscape surrounding the use of AI-powered tools for content production. She explains the complexity of legal issues surrounding AI, particularly in terms of intellectual property laws., Erin a lawyer based in the US, emphasizes the significance of understanding the inputs that go into AI systems, ranging from training data to personal information. She stresses the importance of having clear policies on how AI platforms can be used, especially in scenarios involving sensitive client information.</p>]]></description>
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      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <pubDate>Sun, 14 Apr 2024 12:01:00 GMT</pubDate>
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        <psc:chapter start="4:37" title="Is scraping copyright infringement or a breach of website terms?"/>
        <psc:chapter start="5:45" title="Assume your prompts become training data"/>
        <psc:chapter start="7:04" title="Podcast transcripts, voice recognition, and connecting names to content"/>
        <psc:chapter start="8:25" title="Otter and Fathom notetakers: consent and the risk on client calls"/>
        <psc:chapter start="9:59" title="Stripping names out of sales call transcripts as a workaround"/>
        <psc:chapter start="11:34" title="Why the legal industry says never put client information into AI"/>
        <psc:chapter start="12:35" title="GDPR blocks in Europe, VPNs, and Gemini's million-token context"/>
        <psc:chapter start="14:06" title="Training data we can't control, and OpenAI training video on YouTube"/>
        <psc:chapter start="14:39" title="Could a compulsory licensing scheme like music's work for AI?"/>
        <psc:chapter start="16:11" title="Practical advice: write an AI use policy for your team"/>
        <psc:chapter start="17:26" title="Client agreements that ban AI and confidentiality breaches"/>
        <psc:chapter start="18:08" title="Copyright requires a human author: the AI painting and the monkey selfie"/>
        <psc:chapter start="20:27" title="The continuum of AI-assisted work and disclosing to the Copyright Office"/>
        <psc:chapter start="21:27" title="Fail to disclose and you can lose your registration"/>
        <psc:chapter start="22:32" title="Is any thinking original? Pass-through edits and ideas versus expression"/>
        <psc:chapter start="24:48" title="Stop obsessing over whether AI scraped your website"/>
        <psc:chapter start="27:12" title="The hallucinated South Carolina statute, and treating output like a junior associate"/>
        <psc:chapter start="29:35" title="No citations, no indemnification: reputational and contract risk"/>
        <psc:chapter start="30:18" title="Custom GPTs trained on your own books and blog posts"/>
        <psc:chapter start="32:01" title="Planning this episode by voice, and the show's AI-generated graphics"/>
        <psc:chapter start="32:45" title="Registering a podcast episode when the intro is AI-made"/>
        <psc:chapter start="34:35" title="Don't use AI for the work you get paid for or want to sell"/>
        <psc:chapter start="36:05" title="Dictate, rewrite, rewrite: where the originality has to come in"/>
        <psc:chapter start="37:20" title="GPT-4 output isn't in your voice yet, so the edit step matters"/>
        <psc:chapter start="39:26" title="Tiering your care: daily social post versus a book or course"/>
        <psc:chapter start="40:09" title="Erin's upcoming resource on AI policies"/>
        <psc:chapter start="40:58" title="From a mess to an organized mess, and fair use's lasting ambiguity"/>
        <psc:chapter start="42:07" title="Where to find Erin and Alistair"/>
        <psc:chapter start="42:54" title="Outro"/>
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    <item>
      <title><![CDATA[Authenticity, Creativity and AI-Assisted Content Creation with Chris Do]]></title>
      <itunes:title><![CDATA[Authenticity, Creativity and AI-Assisted Content Creation with Chris Do]]></itunes:title>
      <description><![CDATA[<p>Fewer Late Nights, Not Fewer Humans, hosted by Alastair McDermott, invites Chris Do, a renowned thought leader and influencer, to discuss the fascinating intersection of AI and authentic thought leadership. In this thought-provoking episode, they explore the challenges and contradictions that arise as the power of AI seeps into the realm of creative expression and idea generation.</p>]]></description>
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        <psc:chapter start="1:42" title="What thought leadership used to mean - Seth Godin as the model"/>
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        <psc:chapter start="4:10" title="Citing sources: academic rigor vs. what you say on a keynote stage"/>
        <psc:chapter start="5:53" title="Instruct AI to cite sources - and the Milli Vanilli effect"/>
        <psc:chapter start="7:16" title="Where's the line? Dictating blog posts on Irish road trips"/>
        <psc:chapter start="8:08" title="Do you credit your VA? Everything is a remix"/>
        <psc:chapter start="10:07" title="Nobody credits Microsoft Word's 1997 grammar checker"/>
        <psc:chapter start="10:44" title="Alistair's custom GPT trained on his own five books"/>
        <psc:chapter start="11:58" title="Grammarly, Photoshop masking and the input-to-output ratio"/>
        <psc:chapter start="13:29" title="Lawyers say AI-generated work can't be copyrighted"/>
        <psc:chapter start="13:53" title="You can't hire someone to do your pushups"/>
        <psc:chapter start="14:37" title="Ghostwriters, bylined sports columns and the disclosure trap"/>
        <psc:chapter start="16:05" title="Amazon's &quot;did you use AI?&quot; checkbox"/>
        <psc:chapter start="16:42" title="Auto-Tune went from cheating to a sound"/>
        <psc:chapter start="17:19" title="Being on-brand is whatever Chris decides it is"/>
        <psc:chapter start="18:05" title="What Chris actually uses AI for: &quot;not enough&quot;"/>
        <psc:chapter start="18:57" title="Photoshop generative fill and Firefly sketch input"/>
        <psc:chapter start="19:57" title="Shutterstock tags as a brainstorming trick"/>
        <psc:chapter start="20:45" title="AI as creative sounding board: ten symbols for value"/>
        <psc:chapter start="21:47" title="Summarizing two-hour videos to find titles"/>
        <psc:chapter start="22:29" title="Garbage in, garbage out - the 16-page rhyming children's book prompt"/>
        <psc:chapter start="23:13" title="Viewer at 56: &quot;should I bother learning AI?&quot;"/>
        <psc:chapter start="23:40" title="Chris's reframe: swap &quot;AI&quot; for &quot;the internet&quot;"/>
        <psc:chapter start="24:28" title="The 1,700-hour bamboo umbrella and getting paid for the watching"/>
        <psc:chapter start="25:16" title="How do creators survive when anyone can generate images?"/>
        <psc:chapter start="26:28" title="Neuroplasticity and curiosity as the core of art"/>
        <psc:chapter start="27:10" title="What diffusion actually does - why it isn't copying"/>
        <psc:chapter start="28:16" title="Intel clone chips and reverse engineering"/>
        <psc:chapter start="28:43" title="Rebuilding World of Warcraft servers from scratch"/>
        <psc:chapter start="29:52" title="The clean-room method: describing a chip to coders who never saw it"/>
        <psc:chapter start="31:00" title="Artists' inconsistency: Photoshop, celluloid and every previous generation"/>
        <psc:chapter start="32:14" title="If non-creatives make better art with the same tools, raise the bar"/>
        <psc:chapter start="32:55" title="The Canon 5D Mark II moment and the flood of crap"/>
        <psc:chapter start="33:53" title="The tool doesn't make the artist"/>
        <psc:chapter start="34:50" title="Expose yourself to every tool; articulate ideas persuasively"/>
        <psc:chapter start="36:03" title="Taste is the thing AI doesn't have"/>
        <psc:chapter start="36:50" title="There's no manual - you're not behind the curve"/>
        <psc:chapter start="37:53" title="Advice for people who are scared of AI"/>
        <psc:chapter start="38:19" title="Daniel Priestley: AI will mint the next millionaires, unevenly"/>
        <psc:chapter start="39:10" title="&quot;I don't like to follow fads&quot; - the Facebook lesson"/>
        <psc:chapter start="40:00" title="Within every obstacle is an opportunity"/>
        <psc:chapter start="40:45" title="Conversations with God: only two emotions, love and fear"/>
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      <title><![CDATA[Marketing and Authentic Personal Brand in the Age of AI - with Mark Schaefer]]></title>
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      <description><![CDATA[Your personal brand is supposed to be the authentic you. So what happens when a machine helps you write it?

Alastair McDermott talks to Mark Schaefer, author of Marketing Rebellion, Known and Belonging to the Brand, about the contradiction sitting underneath AI-assisted thought leadership. Schaefer had just tried to write a book with AI doing the heavy lifting. It was, in his words, a complete flop - and working out exactly why turned into a much better argument than the book would have been. Recorded April 2024.

They get into:

- Why an AI draft produces "the best average of the past", and why that makes for a lousy book
- Where the line sits between an assist and an outright fake
- Why writing a book is like taking a master's degree, and what you lose by skipping it
- The disclosure question nobody has settled: at what point do you owe the reader a note?

Listen now, wherever you get your podcasts.]]></description>
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        <psc:chapter start="13:10" title="The &quot;100% human content&quot; badge"/>
        <psc:chapter start="14:10" title="AI voice synthesis and the audiobook experiment"/>
        <psc:chapter start="15:25" title="Using AI to hunt down case studies"/>
        <psc:chapter start="16:40" title="Where does claiming credit begin and end?"/>
        <psc:chapter start="19:00" title="The &quot;still driving the car&quot; analogy"/>
        <psc:chapter start="21:50" title="Ghostwriters, speechwriters and accepted assistance"/>
        <psc:chapter start="24:00" title="Amazon KDP's AI disclosure checkbox"/>
        <psc:chapter start="25:05" title="Copyright, training data and IP risk"/>
        <psc:chapter start="26:10" title="Da Vinci, iteration, and a licensing guild idea"/>
        <psc:chapter start="30:10" title="Cloning a voice and style in text"/>
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        <psc:chapter start="33:10" title="The 20% that can't be replaced - and deepfakes"/>
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        <psc:chapter start="37:10" title="Excited and terrified: entry-level jobs and unearned talent"/>
        <psc:chapter start="40:10" title="The optimistic case: automating the grey area"/>
        <psc:chapter start="42:10" title="Tools Mark actually uses: Midjourney, Perplexity, Claude 3, BuzzSumo"/>
        <psc:chapter start="45:50" title="The bookshelf and where to find Mark"/>
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      <title><![CDATA[AI Disruption: Redefining the Concept of Being an "Author"]]></title>
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      <description><![CDATA[<p>In this thought-provoking episode of Fewer Late Nights, Not Fewer Humans, host Alastair McDermott talks to business leader and author Jonathan Stark about how AI could disrupt our perception of authorship.</p>]]></description>
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        <psc:chapter start="5:53" title="Using AI for brainstorming lists vs. the &quot;spelling and grammar only&quot; objection"/>
        <psc:chapter start="7:34" title="Eddie Van Halen: &quot;If it sounds good, it is good&quot;"/>
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        <psc:chapter start="11:03" title="Amazon's three-books-a-day limit and the &quot;AI was used&quot; checkbox"/>
        <psc:chapter start="13:09" title="What checking the AI box could cost a high-quality book"/>
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        <psc:chapter start="15:29" title="The car-in-a-marathon analogy and custom GPTs trained on your books"/>
        <psc:chapter start="16:10" title="AI is redefining what an author is"/>
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        <psc:chapter start="20:54" title="Not precious about books, despite five written the old way"/>
        <psc:chapter start="22:29" title="Good books that never spread - and why he has no sympathy"/>
        <psc:chapter start="24:26" title="Live in-person speaking as the next scarce authority signal"/>
        <psc:chapter start="26:18" title="Advising a coaching client mid-book-launch today"/>
        <psc:chapter start="27:27" title="A possible swing back to traditional publishers and famous blurbs"/>
        <psc:chapter start="28:37" title="Why AI still can't write in his voice: the Jay Stark bot experiment"/>
        <psc:chapter start="30:12" title="Wishing for more genuinely useful nonfiction"/>
        <psc:chapter start="30:44" title="Netflix generating a Mars murder mystery on demand"/>
        <psc:chapter start="32:34" title="Grammarly, dictation and automatic transcripts, show notes and captions"/>
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        <psc:chapter start="35:38" title="HTML-to-markdown transformations and a 150-item production checklist"/>
        <psc:chapter start="36:46" title="Interrogating ChatGPT about special relativity for a Mars short story"/>
        <psc:chapter start="38:22" title="Hallucinations: use it where you can verify the output"/>
        <psc:chapter start="41:31" title="Recap: outsource only what you can sanity check"/>
        <psc:chapter start="43:58" title="AI fatigue, the crypto hype cycle, and why this feels like mobile"/>
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      <title><![CDATA[How to Stop the Credibility Crisis with Debbie Jenkins]]></title>
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      <description><![CDATA[<p>Are you worried that using AI could undermine your hard-earned credibility as a thought leader? On this episode of Fewer Late Nights, Not Fewer Humans, host Alastair McDermott talks to Debbie Jenkins, an expert on authentic branding and author of the book "Stop the Credibility Crisis."</p>]]></description>
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        <psc:chapter start="11:28" title="Signalling to readers that a real human did the thinking"/>
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        <psc:chapter start="13:13" title="Ten plausible book titles that won't turn a reader into a reader"/>
        <psc:chapter start="13:45" title="Human testing: reading faces and feedback the AI can't get"/>
        <psc:chapter start="14:58" title="The Joe Casabona debate: did you write that or just create it?"/>
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        <psc:chapter start="18:58" title="Arguing politely with AI as a thought partner"/>
        <psc:chapter start="19:51" title="51% you beats 49% you"/>
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        <psc:chapter start="21:21" title="Custom GPTs loaded with 200,000 of your own words"/>
        <psc:chapter start="22:09" title="The privacy trade-off of handing OpenAI your data"/>
        <psc:chapter start="22:43" title="Telltale words like &quot;delve&quot; and &quot;realm&quot;, and false positives"/>
        <psc:chapter start="23:36" title="Bro-coms, bore-coms and the credibility quadrant"/>
        <psc:chapter start="26:12" title="Personal brand as defence against the content tsunami"/>
        <psc:chapter start="27:41" title="The Failure Files GPT and the four failures"/>
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      <title><![CDATA[Authorship in the Age of AI: Who Wrote It?]]></title>
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      <description><![CDATA[<p>If you use AI during the writing process, does that mean you didn’t actually write it? Where exactly should we draw the line when using Artificial Intelligence in content creation?</p>]]></description>
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        <psc:chapter start="4:44" title="Drive to the starting line: research, ideation, outlining"/>
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        <psc:chapter start="12:47" title="Lamb kebabs and the onion chopper"/>
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        <psc:chapter start="23:30" title="Summarizing your own transcript: biography vs autobiography"/>
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        <psc:chapter start="26:40" title="You change every two years; AI can't keep up"/>
        <psc:chapter start="27:20" title="Steve Jobs as visionary, not iPhone builder"/>
        <psc:chapter start="28:40" title="Dictating into Otter and AudioPen"/>
        <psc:chapter start="31:00" title="What are you losing with the shortcut?"/>
        <psc:chapter start="33:40" title="Even 20 years of his writing wouldn't make it his"/>
        <psc:chapter start="34:40" title="The editor who reworded Joe's HTML/CSS book"/>
        <psc:chapter start="36:20" title="Experts spot what's missing; novices don't"/>
        <psc:chapter start="37:00" title="Value pricing, hourly billing and jet packs"/>
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        <psc:chapter start="45:00" title="The farmer's tractor versus the spade"/>
        <psc:chapter start="46:40" title="The headphones story only Joe can tell"/>
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      <title><![CDATA[AI and the Future of Thought Leadership]]></title>
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      <description><![CDATA[<p>How does an aspiring thought leader worried about staying authentic and credible in the age of AI? As artificial intelligence tools become increasingly sophisticated, the question arises: can we use these powerful technologies without compromising our unique insights and personal touch?r.</p>]]></description>
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        <psc:chapter start="12:14" title="Cover art with DALL·E and Midjourney"/>
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        <psc:chapter start="14:42" title="Picking iconic thought leaders, including Hypatia and Mary Wollstonecraft"/>
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