Free Daily Podcast Summary
AI Literacy for Entrepreneurs: Daily Summaries Delivered
by Northlight AI
"AI Literacy for Entrepreneurs", with host Susan Diaz, helps you integrate artificial intelligence into your business operations. We'll help you understand and apply AI generative in a way that is accessible and actionable for entrepreneurs at all levels. With each episode, you'll gain practical insights into effective AI strategies and tools, hear from leading practitioners with deep expertise and diverse use cases, and learn from the successes and challenges of fellow business owners in their AI adoption journey. Join us for the simplified knowledge and inspiration you need to leverage AI effectively to level up your business.
Latest Episodes
The most recent episodes — sign up to get AI-powered summaries of each one.
- 6 days ago31 min
EP282 Your Body Is the First Technology - Victoria Chemko on Leading Through the AI Noise
Victoria Chemko has spent 24 years building businesses. She helped start companies and grow them from six people to 170, ran her own digital marketing agency for more than a decade, then consulted for everyone from startups to Fortune 500 companies. Across all of it she kept seeing the same missing architecture, and she turned it into her Four S Framework: signal, state, structure, and support. Her starting point is that AI amplifies whatever you feed it. A grounded leader gets clearer, faster. A leader running on fear makes the same mistakes faster too. So before anyone adds a tool, Victoria asks two questions. What's unarguably true? And what state is the person reading it in? Susan and Victoria get into hustle culture 2.0, the headlines that blame AI for every layoff, and how to tell a real signal from the noise of "you're already behind". Victoria explains why she's watched founders build whole business models and teams they never used. She also argues that friction is information worth keeping, even when a chatbot could smooth it away. Partway through, Victoria leads a one-minute somatic reset you can do from your chair. (Not while you're driving.) What we get into Twenty-four years as an operator, from six-person startups to Fortune 500 consulting The Four S Framework in one breath: signal, state, structure, support The 4am Report, and why "what keeps you up at night?" still matters What keeps Victoria up at night Susan on fear-based headlines, and layoffs blamed on AI that were probably about money AI amplifies whatever you feed it Signal: what's unarguably true Human in the loop, and the human doing the creating The Four S Framework, step by step "Your body is the first technology" Why state comes first How to tell a true signal from fear: quiet, consistent, no urgency Susan on hustle culture 2.0: the one-hour task that became ten minutes Take a big step back before adding any tool "I don't have time to step back" Put someone in charge of it, and build it into your strategy rhythm Susan on the speed of change, and the people who'd rather wait and see "You're already behind", and why you can wait until you're ready Susan's podcast platform story Who are you actually doing it for? AI will replace everything. AI will kill you. Also, IPO. Staying steady when every take is an absolute Embodied leadership and quieting the noise The founders who built business models and teams they never used A one-minute somatic reset Susan: "I'm like so chill" Friction is information What a customer service chatbot can't feel Executive Clarity Sprints, and where to find Victoria Quotes "AI will amplify whatever it is that you feed into it." - Victoria Chemko "A signal is what is unarguably true." - Victoria Chemko "Your body is the first technology." - Victoria Chemko "When something is more true, it tends to be quieter. It's consistent. There's almost a pulse to it, a knowing. There's no urgency behind it." - Victoria Chemko "If something's already working, you don't have to fix it immediately. You can wait until you're ready." - Victoria Chemko "You want to push the edge a little bit. But that doesn't mean you have to take on the universe all at once." - Victoria Chemko "We don't want to put a tool in place just for the sake of putting a tool in place because it's cool and new and trendy." - Victoria Chemko "Friction to me is just information." - Victoria Chemko "Just because your one-hour thing became ten minutes long, does it mean we do six times as many in an hour?" - Susan The Four S Framework Signal. What's unarguably true. Look at the data first: customers leaving over the last six months, or the thing that's keeping you up at night. State. The condition of whoever is reading the signal. Are you grounded and clear, or running on fear and impulse? From a grounded state, the signal comes through undistorted.
- 2 weeks ago33 min
EP281 Your Team's Nervous System Is Infrastructure - Sira Laurel on Load-Bearing Trust
Most of the leaders Sira Laurel works with look like they're winning. Inside, they're exhausted. Sira is an executive coach and facilitator who works on leadership, organizational design, cognitive load, trust and nervous system capacity. She has watched organizations get very good at making work faster while getting worse at deciding what the speed is for. AI raises the stakes on that question. Her starting point is that capacity covers far more than time. It includes attention, decision-making, emotional bandwidth and creative energy. A tool can hand back hours on the calendar while draining every one of the others. When a team is more efficient and more exhausted at the same time, it has sped up its consumption of tasks and gained nothing it can use. Susan and Sira talk about why trust and psychological safety are load-bearing, where our celebration of speed came from, and why burnout so often gets misread as a motivation problem. Sira also shares the simplest behavioural test for psychological safety a leader can run. They finish with a filter for deciding what to automate: remove the friction that drains people, and protect the challenge that makes the work worth doing. About Sira Laurel Sira Laurel is an executive coach, facilitator and the founder of North of Normal. She works with founders and leadership teams scaling through complexity, and with leaders feeling the personal strain of that growth. Her focus areas are leadership, organizational design, cognitive load, trust and nervous system capacity. Her practice includes executive coaching, culture change design, fractional Head of People work, and strategic offsites and retreats. She holds an MSOD and an MBA, and writes about sensitive leadership. What we get into Leaders who are winning on the outside and exhausted on the inside Susan: every AI ROI conversation is about time saved What capacity includes: time, attention, decision-making, emotional bandwidth and creative energy Are we confusing efficiency with capacity? Efficiency and capacity as different currencies Room to think about second- and third-order effects "I have time, so I should be filling it": we do this to ourselves Susan: the feeling of being behind, and why there's no boat Fifteen years an entrepreneur and still feeling the pull of nine to five Four-day weeks and early signs of change The machine metaphor and the living-system metaphor Susan on AI champions carrying an unpaid second job Why change feels like going backwards at first Nervous system capacity, and why it belongs in the infrastructure Time-off policies only work when leaders take the time Hiring and firing by your values Investor pressure and chronic strain Trust, safety, clarity and coherence are load-bearing Check the hardware before running new software Where the celebration of speed came from Layoffs moving up the list of options Interrupted roughly every two minutes Masking at work, and burnout that gets mislabelled "Speed is a property of the machine. Capacity is the property of the system." Does everything need an agent? The better question: what is this time for? Susan: the paint night nobody wanted Gathering people for connection and trust A behavioural test for psychological safety Purpose, clarity and psychological safety Gatherings, offsites and retreats Friction worth removing and challenge worth preserving The right level of challenge Be careful what you automate Where to find Sira Quotes "We've gotten very good at making work faster. But we've gotten much worse at deciding what speed is actually for." - Sira Laurel "You can save someone time while simultaneously depleting their attention and decision-making quality." - Sira Laurel "Efficiency makes a task faster. Capacity is what you can bring to that next task. They're different currencies." - Sira Laurel "If everyone is more efficient and more exhausted, that's a telltale sign that you di
- Oct 8, 202644 min
EP280 Faster Than a Generation - Ian Alden Russell on Change That Outruns Us
This episode skips the tools, the prompts, and the latest model release. It goes somewhere more philosophical. Ian Alden Russell started out as an archaeologist and anthropologist. He was the kid who loved museums and Indiana Jones. Since then he has worked across history, contemporary art and culture in Dublin, Istanbul, Beijing, Hong Kong, Pittsburgh and Doha. Now he works as a strategist helping organizations make sense of complexity and line up around change. His starting point is that change itself is old news. Humanity has absorbed huge technological shifts again and again. The new part is the speed. Transformations that used to take generations now happen inside a single career, so the people living through them have less shared ground than any generation before. From there, host Susan Diaz and Ian cover why the big AI companies benefit from us picturing one all-powerful AI and why Ian expects the opposite. They talk about what email revealed about how we communicate, and why he thinks every skeptic in a room is right about something. Ian also explains why turning copywriters into editors is a promotion, and why freed-up time doesn't come with the skills to use it. They finish with an argument for putting your C-suite and your dev team in the same room to talk about the stories they grew up on. About Ian Alden Russell Ian Alden Russell is a strategist working at the intersection of culture, commerce, technology and leadership. He helps organizations make sense of complexity and line up around change. He trained as an archaeologist and anthropologist and holds a PhD in history from Trinity College Dublin. He has led galleries and cultural programs at Brown University, the Mattress Factory in Pittsburgh, the Chinese University of Hong Kong, K11 in Beijing and Koç University in Istanbul. He is currently writing about how cultural differences will shape AI regulation and business frameworks around the world. What we get into From archaeology and Indiana Jones to strategy work Why the US, Europe and China will build very different relationships with AI Tangible and intangible culture, and why the same tool serves different purposes in different places Why the tech giants benefit from us picturing one all-powerful AI The 16-year-old who builds their own model in their spare time What email revealed about how we communicate The mirror was never black Look at your culture before you blame the tool Susan: the skeptics have gotten more confident Ian's approach: everyone in the room is right about something The real novelty is the speed Younger employees and "distributed personhood" When change happens faster than a generation, gaps open up where overlaps used to be Film photography and the things that come back Susan's refrigerator story Sovereign AI in a less integrated world How the US, Europe and China think differently about data Tech CEOs as the faces of their products Why every school needs critical media literacy There aren't enough adults modelling healthy relationships with technology Making it safe to admit you're anxious Terrified or exhilarated: the same response Don't blame the mirror Copywriter to editor is a promotion Reading for subtext, the humanities skill everyone needs now Why freed-up time doesn't come with new skills Star Trek, Ghost in the Shell and shared reference points The "watch these five movies" consultancy Where to find Ian Quotes "The fact that there's a change isn't new, but the speed is new." - Ian Alden Russell "It's just a crystal clear mirror. What makes the mirror black is whoever you are." - Ian Alden Russell "Everyone is right in seeing something. They may or may not know how to frame it yet." - Ian Alden Russell "Distortions can be valuable, because if they're felt, they still impact." - Ian Alden Russell "You might be taking someone who's a copywriter and turning them into an editor. It's like a prom
- Sep 23, 202647 min
EP279 How higher ed moves from AI interest to governed use with James Hutson
A previous president from Lindenwood University (a former IBM executive) stands up in town halls and tells people he uses Claude - that it helped him organize the financial report. HR follows and says they used Gemini for an employee questionnaire. Then James Hutson PhD. goes and asks employees whether they understood that as permission. The answer? 'No. The policy says I'll get fired if I use it.' That gap is the subject of this episode. James is Senior Professor and Director of AI-Enabled Academic Transformation at Lindenwood University, with two PhDs - the first in art history, the second in AI, which he went back for in 2023 once it became clear the technology was going to touch everything. He's since published over 200 studies on AI use across disciplines and industries. His argument is that policy and governance have been swapped for each other. Policy is what you can't do - mostly, don't get us sued. Governance is how things get done, and far fewer organizations have that. Most think they have a strategy when what they have is a liability shield. Also in this one: why he thinks a policy should be deliberately vague, what his AI readiness assessments consistently find, why employees hide their own efficiencies, and the reason agentic AI projects keep failing at organizations that seemed ready for them. About Dr. James Hutson James Hutson is Senior Professor and Director of AI-Enabled Academic Transformation at Lindenwood University in St. Charles, Missouri. He holds two PhDs - the first in art history, the second in artificial intelligence, completed in 2023. He has published over 200 studies on AI adoption spanning education, finance, and industry, has designed more than 25 online degree programs, and established Lindenwood's XR and Gaming Lab. His recent book is Art History in the Age of Artificial Intelligence. What we get into Two PhDs - art history first, then AI in 2023, once it was clear this touched everything What keeps him up at night, and the three sleepless nights Ethan Mollick warned about The earliest adopters were administrators. They just never told anyone. Four institutional responses: lock down, FERPA-only, all-in, and the ungoverned middle Why blanket bans rest on a legal assumption that hasn't been tested Susan on dragging the next generation into the future Policy versus governance, and why most "strategies" are liability shields "People will do what they're allowed to do" When governance becomes a compliance checkbox The entrepreneurial mindset - curiosity plus a growth mindset The three literacies: functional, ethical, disciplinary If knowledge is cheap, what makes people indispensable? Power skills, habits of mind, and what should actually be assessed Stop testing recall. Test reasoning. Adaptive governance - why a policy takes a year to write and is obsolete on arrival The programmer who automated his own job, and whether firing him was the right call Secret cyborgs - why people hide how easy the work has become Susan on trust, and why efficiencies have always been hidden What AI readiness assessments actually turn up The three things employees say in every single organization Why agentic AI fails: the invisible work nobody documented Resources, and an open offer of his data Quotes "People will do what they're allowed to do." - the head of faculty development at Lindenwood, quoted by James Hutson "Governance is how you get things done. It's not telling people what they can and cannot do." - Dr. James Hutson "People say yeah, of course we have a strategy - but what they mean is they have a policy, which is 'don't get us sued'." - Dr. James Hutson "You can't accuse students of cheating with AI if you didn't show them how to use it to begin with." - Dr. James Hutson "Don't penalize them. Reward that type of discovery of change, so that you're not caught off guard." - Dr. James Hutson "People do not know how they get work done. And this is why agentic AI is failing." - Dr. James Hutson "We know what needs to be done. It's human nature and psychology that's slowing us down." - Dr. James Hutson The Holy Trinity</h3
- Sep 9, 202643 min
EP278 AI Governance in Higher Ed with Dr. Eugene Chan
Most organizations govern AI the same way cities govern speeding. They set a rule, then punish people who break it. Dr. Eugene Chan thinks that's the least interesting tool available. He's a behavioural scientist - founder of the consultancy Behavieural and Professor of Business at Tyndale University - and his argument is that punishment is a lagging response to a problem you could have designed out. His analogy is a speed camera versus a speed bump. Both reduce speeding. The camera does it by fining you after the fact, and it needs maintenance forever. The speed bump does it by making the behaviour physically inconvenient, and you install it once. One punishes. The other just makes the wrong thing harder to do. Apply that to shadow AI, or to the human-in-the-loop review that everyone claims to have and nobody actually does, and the conversation changes shape entirely. Host Susan Diaz and Eugene also get into why universities are harder to govern than corporations, why a single institution-wide AI rule can't work when the philosophy faculty and the accounting faculty need opposite things, why the white-font trick some professors are using is a symptom rather than a solution, and what a provost should map before writing a single line of policy. Susan and Eugene are building a governance mapping engagement for higher education institutions together. If that's you, get in touch. About Dr. Eugene Chan Dr. Eugene Chan wears two hats. He's the founder of Behavieural, a consultancy that uses behavioural science to help organizations solve trust challenges - AI adoption, customer loyalty, brand and PR. He's also Professor of Business and Marketing at Tyndale University, and has taught at TMU as well as in Australia and the United States. His PhD in management is from the Rotman School. What we get into Two hats: behavioural science consultancy and the business school Policy versus governance, and why even the consultants can't define it clearly Susan's working definition: policy is the best practice, governance is the daily behaviour Confusing access with literacy - why handing out licences isn't adoption AI as the internet 25 years ago, and why there's no chief internet officer Who actually owns AI governance? "Talk to IT" isn't an answer The case for the CTO, the case for legal, the case for HR Why universities are structurally harder than corporations Three groups, three different toolsets, one institution Why "use AI and you fail" is a more rational position than it sounds But banning it is not enforceable. It's like banning the calculator. The better question: under what circumstances should it be used? Why this can't be one rule for a whole university Susan's classroom approach - use it, then defend it Why that teaches a skill most working professionals don't have Susan on delegation, and what "senior human in the loop" means The white-font trick professors are embedding in assignment briefs Turnitin, AI detectors, and what a 30% match actually tells you Governing by consequence, and where that runs out Speed cameras, speed bumps, and a Toronto argument Friction instead of punishment Applying it directly to shadow AI Cameras need maintenance. Speed bumps don't. Susan's reframe: leading indicators and lagging indicators Why human-in-the-loop fails when everything's on one screen Five screens instead of one The student problem - personal devices, personal subscriptions What higher ed leaders should be thinking about beyond cheating Map it, survey it, treat it as a situation analysis Silos, and why this has to come from the provost level Why an honest map is cathartic rather than damning The questions to answer before you write any governance If AI frees up staff time, where does that time go? The flywheel, and why the first turn is the hardest Quotes "You cannot ban the use of AI. At least you cannot enforce it. I
- Aug 27, 202637 min
EP277 Is AI Going to Take the Gift of Failure Away? asks Julie Cole
Episode description Julie Cole and her co-founders started Mabel's Labels in a Hamilton basement 23 years ago, back when customers were still nervous about typing a credit card number into a computer. They figured out early that they weren't really running a label company - they were running a tech company that happened to make labels. Nothing off the shelf did what they needed, so they built it themselves. Which is why her read on this moment carries some weight. She's watched every technology wave since. She's not a skeptic and she's not a cheerleader. She uses AI, has a clear personal rule for when she will and won't, and is clear about where companies are getting it wrong with customers. But she circles one worry: young entrepreneurs are now building in a day what took her team six months in that basement, and she isn't certain the lessons survive the shortcut. She's worried AI is going to take the gift of failure away. Also in this one: the LinkedIn post that made her furious, why she has two full-time people whose entire job is email, what her funeral-director son has to do with AI-proof careers, the Air Canada chatbot case, and why turning up in person has become a strong marketing strategy. About Julie Cole Julie Cole is co-founder and Senior Director of Mabel's Labels, the Hamilton-born company she and three co-founders launched from a basement in 2003 and grew into a household name. She's a recovered lawyer, a mom of six, an award-winning entrepreneur, and the best-selling author of Like a Mother: Birthing Businesses, Babies, and a Life Beyond Labels. She's a regular on Canadian television and a fixture at women's entrepreneurship events across the country - which, as this episode argues, is not incidental to how she's built the brand. What we get into Why a label company is actually a tech company Hamilton, 2003, and the fact that there wasn't a nerd among them Susan's shoe labels, and a core memory involving a three-year-old choosing fonts Watching kids grow up through the icons they pick Twenty-three years of technology waves - what's different this time Six months in a basement versus one day now. What gets lost? You can't put your head in the sand about this "I didn't know you could write like that" - the LinkedIn post that stung What fresh hell is this Where companies are getting AI badly wrong with customers Julie's litmus test for when she'll use AI and when she won't Six kids, generational skepticism, and hiding the tab when they walk in Susan's podcast platform story: how a 30-minute task became 24 hours The Air Canada chatbot case, and who's responsible for what your bot says Founder-forward PR, and the CEO as the next influencer The fake expert problem, and how people will start telling the difference Lower your production quality. Let the dog in. Turning up in person is having a moment "Don't tell me you're authentic. Show me." LinkedIn's report-AI-slop button, and the problem LinkedIn built for itself "If I rest, I rust" <p dir="ltr" role="presenta
- Aug 12, 202632 min
EP276 Your AI Strategy Is a Hammer. Where's the Nail? - with David Cohen
"We need AI" is the most common brief in business right now. David Cohen's read on what it means: usually nothing in particular. David is the founder of Superposition, a consultancy for data and AI consultancies - a meta consultancy, as he calls it. He's spent his career inside both big and boutique consulting shops, which makes him refreshingly blunt about what's actually happening in the services world right now. His diagnosis is that we're still in the solution-in-search-of-a-problem stage. Everybody's curious. Everybody's excited. There's enormous movement, enormous hype, and very few real outcomes. And most organizations hiring AI help have not identified the problem they're hiring it to solve. Susan pushes on the bigger question underneath: if we're in the knowledge era and knowledge just got cheap, what happens to everyone who sells expertise for a living? David's answer is that knowledge didn't lose value - access did. What's scarce now is contextualized knowledge. The kind that accounts for internal politics, history, and the things no system can pick up from the outside. Also in this one: why consulting content is so relentlessly boring, what surprised Susan when she asked clients why they hired her, and the two words that should precede any AI purchase. About David Cohen David Cohen is the founder of Superposition, a consultancy built for data and AI consultancies. He's a lifelong consultant with both big-firm and boutique experience, and over a decade of delivering data and AI transformation work at F500 scale. He now advises boutique founders on the existential problems of running a firm - go-to-market, positioning, pricing models, and hiring. He builds his workshops and content to be collaborative and genuinely fun, on the theory that the consulting world has more than enough beige. He's based in Dallas. What we get into Schrödinger's data consultants - where the name Superposition comes from Why he serves other consultants, and the personal story behind it What clients actually mean when they say "we need AI" (spoiler: FOMO) The scale check - the average person does not care about AI tools Automation has existed for decades. Generative AI is not the origin story The two things every consultant is really selling - expertise and risk mitigation Why clients now assume they shouldn't have to pay for intelligence The consulting growth model, explained at a fifth-grade level - and why it's breaking Is the knowledge era ending? David's answer: knowledge didn't change, access did In the age of infinite information, the right information is the value Contextualized knowledge - internal politics, feelings, history, and what AI can't pick up The hype cycle, honestly assessed. Blockchain, Metaverse, VR, social What AI becomes after the hype dies - the Google test Asking rather than deploying first Why consulting content is bland, boring, and forgettable Susan's client research, and the two answers she never expected The clarity problem: consultancies that don't know what they're selling Ann Handley's joke about world hunger and 500-word LinkedIn posts "A hammer in search of nails" - why real outcomes are still rare The problem-first test, and when you should not be solving anything</
- Jul 29, 202634 min
EP 275 "Do I Trust Myself?" Grace Gravestock on the Real Reason AI Adoption Stalls
Episode description Everyone's arguing about whether AI can be trusted. Almost nobody's asking the harder question underneath it. Grace Gravestock has spent more than twenty years leading change management on some of the highest-profile technology projects around - including the team that set the stage for the $67B Dell EMC integration. Her verdict on why AI pilots stall is unsentimental: it's the same reason ERP stalled, and CRM before that. People aren't using the technology the way it was intended. You can have the best tools in the world, and if people don't use them, it doesn't matter. But the conversation turns when Susan brings up the trust deficit - the LinkedIn feeds full of complaints about AI slop, the comment sections litigating whether a video is real. Grace flips the question entirely: the crisis isn't whether we trust the machine. It's whether we still trust our own judgment. Along the way: the Mac Mini that sat unused for months, why the longest-tenured experts are your real bottleneck, why young people are hitting the brakes hardest, and the one change that rescued a technology rollout that had already failed. About Grace Gravestock Grace Gravestock is a change management leader with more than twenty years on large-scale technology projects. She was part of the team that set the stage for the $67B Dell EMC integration, one of the largest tech mergers in history. Her work spans Deloitte, Dell, and Warner Brothers, plus years consulting inside the utility sector. She got her start in the UK on a government services rollout that touched every citizen in the country, at the front edge of the eGov boom. She's now turning that expertise toward AI adoption, and is writing Three Secrets to Making Change Fun and Easy. What we get into From a UK-wide government rollout to AI adoption - Grace's twenty-year arc Why AI pilots are failing, and why the answer is boringly familiar Why training isn't the root - and what has to happen before it The surprise: young people are putting the brakes on hardest and fastest Secret one - we get to choose. Why agency is the whole ballgame Why your longest-tenured experts are the real bottleneck (and why you need them anyway) The Mac Mini that sat there for months Susan on being a ChatGPT person who barely opened Claude "Am I training my own replacement?" - the fear leadership keeps answering wrong Choosing to become more human rather than less Monday morning heart attacks, and the work people don't want to go back to The people who keep their jobs will be the ones who know how to orchestrate How leaders should communicate when they don't have all the answers - WIIFM radio The single change that rescued a failed rollout: executive bonuses Two utilities, same state, wildly different outcomes "We are not planning on cutting jobs. We're planning to 10x our results." The trust deficit, LinkedIn, and the inauthenticity problem The question that reframes everything: do I trust myself? What leaders can actually do this week Quotes "You can have the best technology, and if people don't use it, it really doesn't matter." - Grace Gravestock "The biggest reason people hate change and fear cha
Get AI Literacy for Entrepreneurs summaries in your inbox
Free AI-powered daily recaps. Key takeaways, quotes, and mentions — in a 5-minute read.
Get Free Summaries →Free forever for up to 3 podcasts. No credit card required.
You Might Also Like
Listeners also like.
The AI in Business Podcast
Interviews with AI executives reveal practical applications and strategic insights for business leaders adopting AI.
Me, Myself, and AI
Leaders from top companies share real-world strategies for turning artificial intelligence into measurable business results.
What Comes Next with Arun
Explores how data and AI strategy create competitive advantage in business, based on real-world enterprise experience.
Everyday AI Podcast – An AI and ChatGPT Podcast
Covers practical uses of AI tools like ChatGPT and Midjourney to help people work more efficiently and advance their careers.
Expert Intelligence with Paul Estes
Explores the intersection of human expertise and AI in shaping the future of work through interviews with industry leaders and innovators.
A Beginner's Guide to AI
Explores artificial intelligence through interviews and clear explanations for beginners and the curious.
Intentional AI
Two productivity experts explore practical applications of artificial intelligence to improve work efficiency and daily workflows.
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Explores machine learning and artificial intelligence through interviews with leading researchers, engineers, and industry experts.
80,000 Hours Podcast
Discusses artificial intelligence and global catastrophic risks with experts and researchers.
Silicon Valley Girl: AI, Tech and Career Growth
Marina Mogilko interviews tech leaders and AI founders about career growth, entrepreneurship, and navigating the AI revolution.
AI Business Daily
Daily insights into AI, tech trends, and digital innovation for entrepreneurs and professionals navigating the future of business.
Pioneers of AI
AI experts discuss how artificial intelligence is changing society and shaping the future.
About AI Literacy for Entrepreneurs
"AI Literacy for Entrepreneurs", with host Susan Diaz, helps you integrate artificial intelligence into your business operations. We'll help you understand and apply AI generative in a way that is accessible and actionable for entrepreneurs at all levels. With each episode, you'll gain practical insights into effective AI strategies and tools, hear from leading practitioners with deep expertise and diverse use cases, and learn from the successes and challenges of fellow business owners in their AI adoption journey. Join us for the simplified knowledge and inspiration you need to leverage AI effectively to level up your business.
Customized Recaps
AI-powered recaps with compact key takeaways, quotes, and insights.
Straight to Your Inbox
Get key takeaways from AI Literacy for Entrepreneurs in a 5-minute read.
Save Hours Every Week
Stay current on your favorite podcasts without falling behind.
Frequently Asked Questions
What is Podzilla's AI Literacy for Entrepreneurs daily summary?
It's a free AI-powered email that summarizes new episodes of AI Literacy for Entrepreneurs as soon as they're published. You get the key takeaways, notable quotes, and links & mentions — all in a quick read.
How does the AI Literacy for Entrepreneurs podcast summary work?
When a new episode drops, our AI transcribes and analyzes it, then generates a personalized summary tailored to your interests and profession. It's delivered to your inbox every morning.
Is this an official AI Literacy for Entrepreneurs product?
No. Podzilla is an independent service that summarizes publicly available podcast content. We're not affiliated with or endorsed by Northlight AI.
Can I get summaries of other podcasts too?
Absolutely! The free plan covers up to 3 podcasts, any in the catalog. Basic raises that to 15, Pro to 40 and Max to 100. Browse our full catalog at /podcasts.
What topics does AI Literacy for Entrepreneurs cover?
AI Literacy for Entrepreneurs covers topics including Technology, Business, Marketing. Our AI identifies the specific themes in each episode and highlights what matters most to you.
Start getting AI Literacy for Entrepreneurs summaries tomorrow morning.
Free forever for up to 3 podcasts. No credit card required.
Free forever for up to 3 podcasts. No credit card required.