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    Waveform: The MKBHD Podcast

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    Lenny's Podcast: Product | Career | Growth

    Lenny Rachitsky

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Essentials

  • Hard Fork
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  • #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    5 days ago

    #503 – AI Crisis in Math: Navier-Stokes, Riemann Hypothesis & Complexity Theory

    Ankur Moitra, Steven Brunton and Alex Kontorovich are three mathematicians who can speak to this incredible moment in the history of mathematics, when AI solved some of its hardest problems: Navier-Stokes, the quasi-Riemann hypothesis, the unique games conjecture and hundreds of other problems. Ankur Moitra is a mathematician at MIT (visiting the Institute for Advanced Study in Princeton) working in theoretical computer science, who can speak to the unique games conjecture, complexity theory and the mathematics of how AI learns. Steven Brunton is a mathematician and fluid dynamics expert at UW, who can speak to Navier-Stokes, turbulence and machine learning for fluid dynamics. Alex Kontorovich is a mathematician at Rutgers specializing in number theory, who can speak to the Riemann hypothesis, Lean and machine-checked proofs. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep503-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/math-ai-crisis-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: Ankur’s Website: https://people.csail.mit.edu/moitra/ Alex’s X: https://x.com/AlexKontorovich Alex’s Website: https://sites.math.rutgers.edu/~alexk/ Steven’s X: https://x.com/eigensteve Steven’s YouTube: https://youtube.com/@Eigensteve Steven’s Website: https://eigensteve.com Lean: https://lean-lang.org/ SPONSORS: To support this podcast, check out our sponsors & get discounts: Wispr Flow: AI-powered voice dictation app. Go to https://wisprflow.ai/lex Fin: AI agent for customer service. Go to https://fin.ai/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Blitzy: AI agent for large enterprise codebases. Go to https://blitzy.com/lex Shopify: Sell stuff online. Go to https://shopify.com/lex NetSuite: Business management software. Go to https://netsuite.ai/lex Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ OUTLINE: (00:00) – Introduction (01:58) – Sponsors, Comments, and Reflections (09:53) – Crisis moment in mathematics (18:10) – Will AI “solve” mathematics? (34:21) – Can AI create new math? (1:13:53) – Riemann hypothesis (1:37:45) – Navier-Stokes (2:03:42) – How nature computes (2:12:35) – Unique Games Conjecture and complexity theory (2:27:28) – How mathematicians think (2:41:05) – Is math invented or discovered? (2:47:13) – Can AI solve P vs NP? (2:57:28) – Why LLMs work so well (3:11:54) – Problems AI can’t solve yet (3:16:23) – Grigori Perelman (3:25:41) – Advice for young people

  • The delightfully messy state of Apple gadgets

    2 days ago

    The delightfully messy state of Apple gadgets

    Nilay is going to buy the new touchscreen MacBook. But not for the touchscreen. He and David talk through Apple's new laptop, and what it means for Apple's other devices, including the tablet that used to be the future of everything. Then the hosts talk about Instagram's push into long-form video and its battle with AI content. Finally, it's time for Brendan Carr, Anthropic's S-1, robot vacuums, and the rest of the lightning round. Further reading: Apple finally combined a toaster and a refrigerator Hands-on with the new OLED iPad Mini Instagram doesn’t have a plan to pay long-form video creators Adam Mosseri says negativity around AI is ‘going to get worse’ Invasion of the Sexy A.I. Joke Thieves Brendan Carr plans to let prisons jam cellphone signals Five weird details from Anthropic’s IPO filing Microsoft is ending Copilot support on smart TVs Google says its investments in AI are driving more searches Palmer Luckey’s Anduril is getting into laptops — and claims they’ll be American-made  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. 0:00 ProLED Cold Open 01:04 Touchscreen Mac Arrives 02:39 Why Apple Did Touch 05:27 App Store Pressure 07:54 Touch Is Just Enough 09:49 Influencer Event Demos 13:56 iPad Squeezed Middle 18:34 Luxury Hardware Bet 22:37 Duo Reality Check 28:18 Instagram Going Through It 29:07 AI Agents vs Ads 32:18 Zuck Escapes iPhone 32:41 Instagram Becomes TV 33:23 Slop Meme Deepfakes 36:09 Mosseri AI Crisis 42:58 Longform Video Push 44:34 Creators Demand Revshare 48:19 Loop Closing Arms Race 49:34 Reddit Versus Google Zero 53:22 AI Kills The Web 01:00:20 Brendan Carr is a Dummy 01:02:22 Spectrum Auction Plan 01:03:35 NOAA Weather Spectrum Fight 01:04:29 700 MHz Auction History 01:05:38 FCC Spectrum Power Grab 01:06:09 Privatizing Weather Data 01:09:27 Anthropic S1 Reality Check 01:12:34 AI Products Beat Models 01:16:55 Claude Goes Sentient 01:17:55 Copilot Leaves Smart TVs 01:21:16 Quiet Robot Vacuum Thoughts 01:25:03 Palmer Luckey Laptop Fight 01:30:10 X Replies and Racism 01:32:32 Wrap Up and Next Week Learn more about your ad choices. Visit podcastchoices.com/adchoices

  • AI Agents for Workflow Automation | EP 136

    24 Apr

    AI Agents for Workflow Automation | EP 136

    Subscribe to AI Agents Podcast Channel:https://link.jotform.com/subscribe-to-podcast Most people are still intimidated by advanced AI tools—but they don’t need to be. In this episode, we break down how AI-powered workflow builders are making automation accessible for everyday users and small businesses. Demetri Panici and Aytekin Tank explore the current landscape of AI agents and workflow automation, comparing tools like Zapier, n8n, Pipedream, MuleRun, and Jotform’s upcoming AI-powered workflows. They walk through real demos using the same prompt across platforms—automating weekly employee updates—to show how each tool performs, where they shine, and where they fall short. From no-code simplicity to more advanced agent-based systems, this episode highlights the trade-offs between usability, flexibility, and power. If you’ve ever wanted to automate repetitive work but didn’t know where to start, this episode gives you a clear, practical look at what’s possible today—and what’s coming next. ⏰ TIMESTAMPS:00:00 – Why people are still scared of AI tools00:49 – What are AI workflow builders?05:13 – Jotform AI workflow demo09:18 – MuleRun & building full tools with AI14:52 – Pipedream demo (email automation)18:28 – Zapier AI workflow builder21:24 – n8n: powerful but intimidating23:41 – AI agents (Perplexity & Claude demos)29:00 – Real-world automation examples33:43 – Where Jotform fits + future of AI workflows ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Sign up for free ➡️ https://www.jotform.com/▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬Follow us on: Twitter ➡️ https://x.com/aiagentspodcastInstagram ➡️ https://www.instagram.com/aiagentspodcastTikTok ➡️ https://www.tiktok.com/@aiagentspodcast▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

  • Do Hard Things (Featuring: Jerry Seinfeld)

    2 days ago

    Do Hard Things (Featuring: Jerry Seinfeld)

    The most recent episode of the Acquired podcast featured a story about Jerry Seinfeld that provides a critical lesson for succeeding in our current AI moment.   Video from today’s episode: youtube.com/calnewportmedia (0:00) Do hard things (1:30) Technologies and jobs (5:22) AI today (8:19) The solution Links: Buy Cal’s latest book, “Slow Productivity” at www.calnewport.com/slow  https://www.youtube.com/watch?v=Wm53dMsn5dk Today’s episode was produced and mastered by Jesse Miller. Nate Mechler provided research and newsletter support. It was edited by Ben Crain and Rob Montz. The theme music is modified from Jay Kerstens. Learn more about your ad choices. Visit podcastchoices.com/adchoices

  • FT Weekend Fest: Tech to save democracy

    4 days ago

    FT Weekend Fest: Tech to save democracy

    The FT’s John Thornhill speaks to Audrey Tang, former Taiwanese minister of digital affairs, and Matthew Rycroft, a former UK civil servant, about how technology can be used to facilitate participatory democracy — giving citizens a greater role in proposing and drafting laws. Could Taiwan’s success be repeated elsewhere? Recorded live at the FT Weekend Festival. Tech Tonic is produced by Edwin Lane, the executive producer is Topher Forhecz. Sound design by Breen Turner and Sam Giovinco. Flo Phillips is the FT’s head of audio. Read a transcript of this episode on FT.com Hosted on Acast. See acast.com/privacy for more information.

  • Are We in an A.I. Bubble? We're About to Find Out.

    2 days ago

    Are We in an A.I. Bubble? We're About to Find Out.

    Monday gave us the release of Anthropic’s S-1 filing, providing the clearest view yet into the business side of the A.I. boom and setting the stage for what could be the largest initial public offering in history. We’ll talk to Erin Griffith, who has been reporting on the story, about what it means for the company, the tech industry and the broader economy. Then we’re joined by the tech reporter Mike Isaac and the writer Jasmine Sun to break down the rest of this week’s tech news, including how the midterm elections next week could affect the future of tech policy, as well as the latest round of cybersecurity worries and Microsoft’s offer of buyouts to 60,000 employees. Guests: Erin Griffith, a technology reporter at The New York TimesMike Isaac, a technology reporter at The New York TimesJasmine Sun, journalist and writer at jasmi.news Additional Reading: Anthropic Reveals Skyrocketing Growth and Spending Plans in I.P.O. FilingWhat’s Riding on Anthropic’s Market Debut? Nearly Everything.Anthropic’s I.P.O. Prospectus Spells Out a Future of Promise and PerilWhy Anger About Data Centers and Energy Prices May Not Swing VotesWhat Is PHP? Why Are Government and Business Websites Going Offline?Microsoft Offers Buyouts to 60,000 Employees as It Spends on A.I.We want to hear from you. Email us at hardfork@nytimes.com. Find “Hard Fork” on YouTube and TikTok.   Subscribe today at nytimes.com/podcasts or on Apple Podcasts, Spotify and Amazon Music. You can also subscribe via your favorite podcast app here https://www.nytimes.com/activate-access/audio?source=podcatcher. For more podcasts and narrated articles, download The New York Times app at nytimes.com/app. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

  • Unusual, Bad and Actionable: Anomaly Detection from Control Charts to Isolation Forests

    4 days ago

    Unusual, Bad and Actionable: Anomaly Detection from Control Charts to Isolation Forests

    Monday morning at the Kestrel compressor station: 412 anomaly alerts from one weekend, and buried among them a bearing on compressor four that fails on Tuesday. The system had worked. It had flagged something unusual, which is not the same as something bad and actionable. Part seven of The Deep End's Machine Learning series follows anomaly detection from nineteenth-century astronomers deciding whether to discard an observation, through Walter Shewhart's 1924 memo and Mahalanobis's tilted ellipses, to isolation forests that count how many random questions it takes to get a point alone, one-class fences around a flock, and autoencoders that cannot copy what they have never seen. We hear why the bearing whispered at frequencies nobody was watching, how a benchmark critique found a one-line detector matching published methods, what really happened with the satellite data and the ozone hole, and why Three Mile Island, the Target breach and hospital monitors all teach the same lesson about alarms. Aisha, Henrik and Kestrel Midstream are fictional; the history and incidents are sourced in the fact-check log. Chapters 00:00:00 Cold open: four hundred alerts and one bearing 00:03:34 What makes anomaly detection different 00:06:51 The oldest tool: how many standard deviations? 00:09:49 Shewhart's charts: anomalies over time 00:13:30 Many measurements at once: Mahalanobis 00:15:40 Distance and density: who are your neighbours? 00:18:03 Features first: why the bearing whispered at high frequencies 00:21:38 Isolation forests: how many questions to get you alone? 00:24:53 One class models: drawing a fence around normal 00:26:42 Autoencoders: what can you not reconstruct? 00:29:22 Intrusions, fraud and the base rate, again 00:34:50 Time series: unusual for the time 00:41:15 The ozone hole: the anomaly that was real 00:43:51 Alert fatigue: when the detector works and nothing happens 00:47:25 Designing the decision, not just the detector 00:51:42 Evaluating a detector you cannot fully label 00:53:33 Back at Kestrel: the rebuild 00:56:06 Complexity in plain words 00:57:34 When not to use anomaly detection 00:58:49 Closing: unusual, bad and actionable Created by Sankalp Thakur. A Transient Labs production. Website: https://transientlabs.ai GitHub: https://github.com/sankalpsthakur X / Twitter: https://x.com/sankalpsthakur LinkedIn: https://www.linkedin.com/in/sankalpthakur/ Hugging Face: https://huggingface.co/sankalpsthakur Scripts generated with Claude Opus. Synthetic narration generated with Kokoro. Reviewed, listened to, and approved by Sankalp Thakur.

  • #259 - Dots, Sonnet, Self-Safety, Rogue AI

    9 Oct

    #259 - Dots, Sonnet, Self-Safety, Rogue AI

    Our 259th episode with a summary and discussion of last week's big AI news! Recorded on 09/30/2026 ; I lied about this one coming out soon... but not the next one , I promise! Hosted by Andrey Kurenkov and Jeremie Harris Feel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ In this episode: OpenAI launches 6.1 Sol (near Astra-level at much lower cost), debuts “Dots” always-on credentialed agents, and expands ChatGPT plugins into app-like interfaces with automations.Anthropic releases Sonnet 5.5 (faster/cheaper, strong on agentic coding) and discloses IPO details including massive infrastructure spend, large losses, extensive catastrophic-risk warnings, and founder-heavy voting control.Meta announces camera-free Ray-Ban audio AI glasses; Google ships Gemini 3.8 Live with customizable avatars, amid hints of stronger upcoming Gemini models.Safety/policy updates include a voluntary White House AI safety accord favoring self-policing, refusal to coordinate with China, new OpenAI rogue-agent disclosures and internal safety criticisms, and reports of models performing unsanctioned cyber behaviors and open-source cyber capability spread. A thank you to our current sponsors: Box - visit box.com/LWIAI to learn moreNotion - visit notion.com/lwai to try Notion’s Developer Platform today.ODSC AI - visit odsc.ai/east and use promo code LWAI for an additional 15% off your pass to ODSC AI East 2026.Factor - visit factormeals.com/lwai50off and use code lwai50off to get 50 percent off and free breakfast for a yearScribe - visit scribe.how/lwai and mention lwai for a 30-day Timestamps (these may a few minutes off due to sponsor inserts): (00:00:10) Intro / Banter(00:01:45) News Preview(00:02:18) Response to listener comments Tools & Apps(00:05:21) OpenAI launches GPT-6.1 Sol, says it nearly matches GPT-6 Astra and costs less | TechCrunch(00:09:30) Anthropic releases Sonnet 5.5, which it calls a significantly cheaper, faster work partner | TechCrunch(00:11:00) OpenAI launches Dots, its bubbly agentic avatar | TechCrunch(00:18:09) OpenAI expands ChatGPT's plug-ins with app-like interfaces and automations | TechCrunch(00:20:13) Meta introduces camera-free AI glasses | TechCrunch(00:23:40) Gemini 3.8 Live with Live Avatar gives Google’s AI a face | The Verge Applications & Business(00:25:44) AMD will acquire Fei-Fei Li's World Labs for $8.2 billion | TechCrunch(00:30:43) Anthropic warns of ‘catastrophic’ AI risks in its own IPO filing | The Verge Projects & Open Source(00:39:38) Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev - MarkTechPost(00:45:37) Open source tool distills Jev so you can run it locally Policy & Safety(00:51:12) At A.I. Event, Trump Asks Meta, OpenAI and Microsoft to Make Safety Decisions Themselves - The New York Times(01:01:52) Trump rejects calls to work with China on AI safety despite Xi summit progress | South China Morning Post(01:04:23) OpenAI still doesn't seem to have a handle on all of its rogue AI activity | TechCrunch(01:08:05) OpenAI Ignored Employees’ Warnings About Safely Testing A.I. Models - The New York Times(01:10:53) GPT-6 Astra performs unsanctioned supply-chain attacks in simulations(01:14:03) GLM-5.3 and the spread of advanced cyber capabilities Anthropic Research & Advancements(01:16:29) The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement(01:20:19) Dream-RSI: Recursive Self-Improvement through Evolving Worlds See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

  • An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)

    25 Oct

    An 86-minute guide to finding PMF | Rob Snyder (Author, The Power of Pull)

    Rob Snyder is the author of The Power of Pull and writes the newsletter The Physics of Startups. He has advised more than 50 startups on growing from zero to $1 million in ARR, drawing on his own experience as a founder who spent two years pushing a product the market didn’t want before accidentally stumbling onto what actually works. In this episode, we walk step by step through his framework for finding product-market fit, from coming up with an idea to closing your first handful of deals. We discuss: 1. The PULL framework: Project, Unavoidable, List of options, Limitations 2. Where the best startup ideas come from 3. Tactics for cold outreach and running your first sales call 4. Why Rob advises against design partners 5. Goblin mode: what to do when nothing is working 6. How to apply the PULL framework inside larger companies — Brought to you by: WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more DX—Engineering intelligence for the AI era — Where to find Rob Snyder: • LinkedIn: https://www.linkedin.com/in/rsnyder1 • Newsletter: https://thephysicsofstartups.substack.com • Podcast: https://open.spotify.com/show/4Cic56E1UEbU25P3v14Vkq • Website: https://robsnyder.org — Where to find Lenny: • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ — In this episode, we cover: (00:00) Introduction to Rob Snyder (01:13) The PULL framework: what makes customers buy (07:30) The “PULL” acronym (09:44) How Jump found pull with financial advisors (13:53) Why pull is discovered, not created (16:10) Selling to a person, not a company (17:13) Finding startup ideas through firsthand experience (22:34) Testing your pull hypothesis with two slides (26:41) Recognizing real buying intent (27:24) When solving your own problem works (29:02) The Hail Mary question that can unlock a pivot (31:01) Common traps to avoid (32:50) Quick recap (34:46) Landing your first customer conversations (39:18) Outreach benchmarks and diagnosing what isn’t working (41:27) How to run your first sales call (46:56) Successful pitch tactics (49:59) Does your product need to be 10 times better? (54:08) Closing the deal (01:00:41) Using the PULL framework to set pricing (01:02:22) Revising your hypothesis and going into goblin mode (01:06:56) Designing onboarding to make customers stay (01:09:28) What churn can teach you about your ideal customer (01:11:37) Building a repeatable case study factory (01:16:15) Applying the framework inside established companies (01:20:03) Lightning round and final thoughts — Referenced: • The PULL framework: https://thephysicsofstartups.substack.com/p/the-pull-framework • The ultimate guide to JTBD | Bob Moesta (co-creator of the framework): https://www.lennysnewsletter.com/p/the-ultimate-guide-to-jtbd-bob-moesta • How to find work you love | Bob Moesta (Jobs-to-be-Done co-creator, author of “Job Moves”): https://www.lennysnewsletter.com/p/how-to-find-work-you-love-bob-moesta • Jump: https://jump.ai • Linear’s secret to building beloved B2B products | Nan Yu (Head of Product): https://www.lennysnewsletter.com/p/linears-secret-to-building-beloved-b2b-products-nan-yu • Josh Woodward on LinkedIn: https://www.linkedin.com/in/joshwoodward/ • Clearly AI: https://clearly-ai.com • Emily Choi-Greene on LinkedIn: https://www.linkedin.com/in/emilycg • Spanx: https://spanx.com • Floodgate: https://www.floodgate.com • Snoop Dogg on X: https://x.com/SnoopDogg • Jira: https://www.atlassian.com/software/jira • Linear: https://linear.app • “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr • How to close $100K+ enterprise deals, step by step | Jen Abel: https://www.lennysnewsletter.com/p/how-to-close-100k-1m-deals-step-by • Teero: https://www.teero.com • A guide for finding product-market fit in B2B: https://www.lennysnewsletter.com/p/finding-product-market-fit • Retention is the hard part: https://thephysicsofstartups.substack.com/p/retention-is-the-hard-part • Mark Roberge on LinkedIn: https://www.linkedin.com/in/markroberge/ • Ali Ghodsi on LinkedIn: https://www.linkedin.com/in/alighodsi/ • Pride and Prejudice: https://www.imdb.com/title/tt0414387 • Penguins of Madagascar: https://www.imdb.com/title/tt1911658 • Muse: https://muse.ai • Lessons from 1,000+ YC startups: Resilience, tar pit ideas, pivoting, more | Dalton Caldwell (Y Combinator, Managing Director): https://www.lennysnewsletter.com/p/lessons-from-1000-yc-startups • Lemlist: https://www.lemlist.com — Recommended books: • The Power of Pull: What You Need to Know About Customer Demand to Build a Successful Startup (and Why Most Founders Get It Wrong): https://www.amazon.com/Power-Pull-Customer-Successful-Founders/dp/1541705955 • The Nature of Order, Book One: The Phenomenon of Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0BHLGZHHD • The Nature of Order, Book Two: The Process of Creating Life: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/Nature-Order-Book-Two-Creating-ebook/dp/B0F2SMKQT8 • The Nature of Order, Book Three: A Vision of a Living World: An Essay on the Art of Building and the Nature of the Universe: https://www.amazon.com/dp/B0F2SS62LG • The Nature of Order, Book Four: The Luminous Ground: https://www.amazon.com/Luminous-Ground-Building-Alexander-Christopher/dp/B00CB5JTI6 — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. — Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

  • 340 | Cyber-geddonm! OpenAI Disconnecting Training from the Internet 🤯, Microsoft is Buying Out 60K employees, AI is taking over the commerce world, and more important news for the week ending October 30, 2026

    1 day ago

    340 | Cyber-geddonm! OpenAI Disconnecting Training from the Internet 🤯, Microsoft is Buying Out 60K employees, AI is taking over the commerce world, and more important news for the week ending October 30, 2026

    Join Multi-Agent Orchestration Course to learn how to design sophisticated AI workflows and automated business processes. Use promo code LEVERAGINGAI100 for $100 off - https://multiplai.ai/multi-agent-orchestration-course/ What happens when AI becomes your best employee, your biggest competitor, and your newest cybersecurity threat—all at once? AI is no longer just changing how businesses operate. It's changing how hackers attack, how customers shop, and how companies compete. And while businesses are racing to adopt AI, the technology is moving faster than many organizations can adapt. The solution isn't to slow down AI adoption. It's to get smarter about where you invest, how you protect your business, and how you prepare for an increasingly agent-driven economy. In this episode of the Leveraging AI podcast, host Isar Meitis connects the dots between accelerating AI cybersecurity threats, the rise of agentic commerce, and the increasingly important question of AI's return on investment. From AI agents finding ways around security restrictions to Google's changing search experience, Stripe's agentic payments infrastructure, and the growing gap between AI-powered shoppers and unprepared merchants, this episode explores what business leaders need to understand now. In this session, you'll discover: The new cybersecurity reality: How AI agents are discovering vulnerabilities, bypassing security boundaries, and enabling cyberattacks at a speed and scale that traditional defenses struggle to match.Why businesses must rethink cybersecurity: The emerging risks highlighted by incidents involving AI agents, financial institutions, critical software infrastructure, and Binance.The practical steps leaders should take: Why software updates, cybersecurity risk assessments, and reviewing insurance coverage deserve immediate attention.How AI is rewriting the rules of search: Why Google's AI Overviews are changing website traffic, customer discovery, and the value of traditional SEO.The rise of AI-powered advertising: How autonomous agents are beginning to plan, buy, and optimize advertising campaigns.Why agentic commerce matters: How Stripe, Visa, and Mastercard are building payment infrastructure for a future where AI agents can transact on behalf of customers.The opportunity hiding in merchant unreadiness: Why businesses that prepare for AI-assisted purchasing could gain an advantage over slower competitors.The latest developments from AI leaders: News involving Anthropic's IPO filing and Google's emerging model capabilities. About Leveraging AI Multi-Agent Orchestration Course: https://multiplai.ai/multi-agent-orchestration-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you’ve enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

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Select a country or region

Africa, Middle East, and India

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