Disruptia: AI and Tech News

Sam Kamani

Disruptia is a podcast where Artificial Intelligence and Tech News collide with Comedy. Disruptia is not your average podcast. On this podcast we invite a standup comedians to discuss the latest, the greatest, and the downright strangest in the tech universe. Here at Disruptia we love breaking down the most complex tech topics into bite-sized, digestible, and most importantly - jargon-free pieces We're here to disrupt your world, to bring the future to your doorstep, but we're also here to make you laugh. Disruptia is hosted by Sam Kamani, an best selling author and multi exit founder

  1. 28 Aug

    27: Why AI is creating more winners, not fewer, for idea people and Nvidia results

    AI just removed the excuse that you could not build it. The real bottleneck now is who ships, who experiments, and who keeps taking shots on goal before everyone else catches up. Sam and Will unpack what the rise of AI agents actually changes for founders, builders, and product teams - from lean MVP thinking in an era where ideas are cheap, to why the people who keep creating will win. They also get into the very real limits of the “anyone can build anything” narrative and why most people still will not. You'll hear a sharp take on local development, Apple's latest hardware, and why memory prices are suddenly turning high-end machines into absurdly expensive tools for AI work. The conversation also zooms out to Nvidia, OpenAI, Anthropic, and the race to control the chips, models, and infrastructure powering the next wave. Sam brings a grounded builder's view across AI, startups, hardware, and the shifting economics of making software. Will adds a practical product and experimentation lens, with sharp observations on agentic development, iteration, and the gap between ability and execution. We break down: why AI makes execution easier but does not make shipping automatichow the lean startup mindset still applies when building with agentswhy “everyone can do it” is not the same as “everyone will”what Apple's newest machines and rising RAM costs mean for local AI developmentwhy Nvidia is still central even as major players race to build their own chipshow AI avatars and synthetic people are becoming a real business categoryThe broader point is simple: the tools are getting more powerful, but the advantage is moving to the people who can move fastest. If you are building, investing, or trying to understand where AI is actually headed, this episode gives you the signal behind the noise. Perfect for founders, product builders, developers, and anyone trying to figure out where the next real opportunities in AI are hiding.

    27: Why AI is creating more winners, not fewer, for idea people and Nvidia results
  2. 16 Aug

    26: Why Watermarking AI Content Matters More Than EU Rules and AI news from mid August 2026

    AI is changing how software gets built, but the real bottleneck is still product, distribution, and human behavior. Sam Kamani and Will unpack what actually shifts when anyone can ship an MVP in days, why finding a technical co-founder is no longer the only path, and why most “great ideas” still fail once they have to survive the real world.Sam shares what he’s seeing firsthand as an enterprise AI strategist, from digital humans and workforce replication to the messy reality of bringing AI into customer service, training, and marketing. Will pushes on the deeper question: if AI makes building easier, why is building a successful product still so hard?You’ll discover: Why AI has lowered the cost and time to build software, but not the difficulty of creating something people actually useHow Claude’s watermarking news connects to AI slop, model collapse, and training on synthetic contentWhy the biggest AI companies may be overvalued even as they pour trillions into chips, data centers, and debtWhere open source models might close the gap and where they still lag badly behind Anthropic, OpenAI, and GoogleWhy enterprises behave differently from retail users, and why tools like Copilot, Claude, and Excel still dominate real workflowsThey also get practical about speed and systems: Sam explains how he’s using AI for personal assistants, nutrition tracking, and content creation, while Will proposes automating their entire post-recording workflow with APIs, transcripts, thumbnails, descriptions, and clips.If you care about AI, software, enterprise adoption, or what’s actually worth building right now, this conversation is a sharp look at the gap between hype and reality. It’s especially useful for founders, product builders, and anyone trying to turn AI from a novelty into something people will pay for and use every day.

    26: Why Watermarking AI Content Matters More Than EU Rules and AI news from mid August 2026
  3. 30 Jul

    25: How Hardware Cycles Drive AI Innovation, The Pendulum Between Software and Hardware swings again, and will open source dominate future?

    Unlock the future of AI as we explore why open-source Chinese models now power over 60% of U.S. enterprises and what that means for global tech dominance. Will the push to block these models backfire, making AI projects exponentially more expensive? And how are giants like Nvidia, Apple, and the biggest VC minds navigating the hardware-software pendulum?Sam and Will dissect the rapidly evolving AI landscape—spanning local models, hardware breakthroughs, and the race for open access. Discover how cheap access to powerful tech is democratizing AI development, why the battle over open-source models could reshape industry giants, and what the next decade might hold for developers and consumers alike.You'll learn: Why open weights models are poised to dominate corporate AI adoption and how they threaten traditional closed systems.The strategic moves of companies like Nvidia and Apple amid this hardware-software oscillation.The implications of AI's hardware dependency, from GPUs to chips, and how it influences innovation cycles.Real-world stories of individuals building startups by connecting APIs and bypassing corporate gatekeepers—highlighting the democratization of AI.Why most users won't need the bleeding edge but will benefit from increasingly accessible, lightweight models.If you're curious about how AI could democratize or monopolize the coming decade, or whether open-source battles will shape your toolbox, this episode is an essential listen. We synthesize insights from tech giants, investors, and pioneers to prepare you for the next wave of AI innovation—whether you're a developer, entrepreneur, or simply a tech enthusiast. Featuring insights from Sam, a seasoned AI strategist, and Will, a hardware and market researcher, this episode offers a comprehensive look at today's AI wars and future possibilities, making sure you stay ahead of the curve.Why this works: This description hooks the listener with a bold claim about the dominance of open-source models and their consequences, creating immediate curiosity. It teases concrete scenarios—big tech strategies, hardware cycles, startup tactics—appealing to tech leaders and enthusiasts eager to understand industry shifts. The blend of strategic insights and real-world examples maximizes relevance and engagement, encouraging clicks through a promise of staying informed on crucial AI developments. Connect with Sam - https://www.linkedin.com/in/samkamani/ Sam Twitter - https://twitter.com/samkamani Will Schmidt - Orchid.co.nz

    25: How Hardware Cycles Drive AI Innovation, The Pendulum Between Software and Hardware swings again, and will open source dominate future?
  4. 1 Jul

    23: Your AI Stack, Your Rules: Local Models, Personal CRMs, and the End of the Token Subsidy

    Most people are still renting their AI workflows. Paying monthly for tools that go stale, burning through tokens on autopilot, and building on top of platforms that could triple their prices overnight. This week, Sam and Will get into what a smarter, more sustainable setup actually looks like -- and why the people thinking carefully about this now are going to be in a very different position when the economics of AI eventually reset. Sam breaks down the personal assistant he's built using Claude Code connected to a private GitHub repository -- a setup that has completely replaced every CRM he's ever tried. All 410 podcast episodes worth of contacts, hundreds of unanswered inquiries, a live to-do list, follow-up notes from conferences across Europe -- all stored as plain CSVs, updated at the end of every session, accessible from any window or device. No database to maintain. No structure to define upfront. He just talks to it, and it handles the rest. The key detail: because the data lives in GitHub and not inside any one tool, he can swap the underlying model tomorrow and lose nothing. Will counters with his Monday sales workflow inside Claude Cowork -- automatically pulling Zoom transcripts the moment calls end, triaging email threads in Superhuman, resurfacing cold leads, and building context across every deal without a single manual log entry. His whole approach now is getting people onto Zoom calls specifically because the transcript integration is that seamless. From there the conversation opens up into the bigger picture. They get into the hardware pendulum that has swung back and forth in computing for decades -- from Microsoft's software-only bet, to Apple proving integrated hardware wins, to everything moving to the cloud, and now potentially swinging back again toward powerful local machines running open source models that no pricing team, no government, and no platform shutdown can touch. Sam makes the case that the billions currently flowing into data center construction might be the mainframe build-out of this era -- impressive and expensive, and possibly obsolete before it's finished. They also get into the geopolitics: the US government blocking access to a new OpenAI model, what that means for non-US users, and why it only strengthens the argument for open source. Plus the uncomfortable question neither side of the AI industry wants to talk about -- every major model right now is priced below cost and subsidized by venture capital, sovereign funds, and stock market investors. What happens to your workflow, your costs, and your dependencies when that subsidy stops? Honest, practical, and genuinely useful whether you're trying to build a personal AI setup that actually holds up, or just trying to understand where all of this is heading.

    23: Your AI Stack, Your Rules: Local Models, Personal CRMs, and the End of the Token Subsidy
  5. 4 Jun

    22: The hidden truth about AI IPOs and why tech giants are betting big on AI

    AI's Booming Year: How SpaceX, Anthropic, and the Rising Tide of Innovation Are Reshaping the FutureA seismic shift is happening in the AI world, and if you're not paying attention, you risk falling behind. SpaceX's imminent IPO, valued at over $1.7 trillion, is just the tip of the iceberg. Meanwhile, companies like Anthropic and OpenAI are redefining valuation norms, and the entire tech landscape is racing to capitalize on AI's explosive growth. If you're curious about how these giants are shaping markets, disrupting industries, and unlocking unprecedented opportunities — this episode is your essential guide.Dive deep into the conversation that unpacks the latest developments, from SpaceX’s secretive plans merging with X AI to the surge in secondary deals and billion-dollar valuations. You’ll discover the strategic shift in AI companies focusing on enterprise over consumer, why the real value lies in data centers and cloud services, and how AI investments are subsidized by traditional giants like Google, Amazon, and even city councils. This episode also explores the broader implications, how innovation, regulation, and usage models could define the next decade of tech evolution.We break down the hype versus the reality: Why many overvalue these nascent companies and what it truly takes to build lasting competitive moats in AI. You’ll learn about new billing models transforming SaaS, the quiet rise of token-based pricing, and how AI is changing everything from CRMs to subscription services, making them more efficient, more scalable, and more aligned with real usage.This conversation matters if you're a founder, investor, tech enthusiast, or simply someone fascinated by the convergence of space, AI, and innovation. With insights from experts immersed in the AI boom, you'll gain clarity on what’s next and how to position yourself for long-term success. Perfect for those who want to stay ahead of the curve in a world where AI's potential is only just beginning to be tapped.Are these valuations sustainable? Will AI disrupt traditional industries, or will it be a slow burn like the taxi industry with Uber? And how will the shifting models—like token billing or AI-powered CRMs, impact your investments or business? Tune in to uncover the answers behind the headlines, with real-world insights and a glimpse of what’s coming next in this exhilarating tech revolution.Why this works: This episode hooks listeners with high-stakes finance and innovation details, sparking curiosity about the future of AI and space tech. It expertly combines concrete examples, like SpaceX’s valuation and secondary deals, with big-picture implications, appealing directly to entrepreneurs, investors, and tech aficionados eager to understand the next wave of disruption. The clear call to explore both hype and reality motivates binge-listening and action-taking.

  6. 14 May

    21: Polsia, Character AI & The Truth About AI-Run Companies

    I sit down with Will to dig into the wild, weird, and sometimes worrying state of AI-run businesses right now. We talk about Polsia, the platform claiming to run entire companies for $49 a month, and ask the hard question: are any of these AI businesses actually working? We also get into Character AI, its $2.7 billion Google backing, the lawsuits, the fake doctors, and the pay-per-minute Jesus character. Then we unpack how OpenAI accidentally filled its outputs with gremlins and goblins, why AI is feeding on its own content, and what that means for human language. We round it out with a look at AI trading bots, bug bounty agents, and whether any of this is actually making real money, or just generating hype. Be a guest on the podcast or contact us - https://www.disruptia.news --- CONNECT --- Web3 with Sam Kamani Website: https://www.web3pod.xyz/ Polsia: https://www.Polsia.ai Character AI: https://character.ai Polymarket: https://polymarket.com Kalshi: https://kalshi.com Sora (OpenAI): https://sora.com --- KEY POINTS WITH TIMESTAMPS --- • [00:01] Introduction and catching up, back in New Zealand, diving into the latest in AI • [01:00] Polsia breakdown, $49/month AI-run companies, $9M ARR claims, and what's actually happening on TrustPilot • [03:09] The big debate, should AI be making business decisions, or do humans need to stay in the loop? • [06:12] Algo trading as the exception, why high-frequency decisions work for AI but most business decisions don't • [07:27] AI spam is flooding inboxes, LinkedIn, X, and Telegram, and it's only going to get worse • [09:23] Character AI deep dive, 10 million characters, $60M/year revenue, Google's $2.7B investment, and the fake doctor lawsuits • [13:34] OpenAI's gremlin and goblin problem, how a tweak to avoid real names caused a feedback loop of fantasy characters • [15:08] AI feeding on AI, how generated content is reshaping the internet and possibly human language itself • [16:44] Sora, Seed Dance, and the rise of AI-generated short series in China • [20:31] AI trading bots on Polymarket and Kalshi, separating hype from what actually works • [21:50] Bug bounty agents, a real but modest way to make money with AI at home • [23:00] Open call, if you have ideas for AI agents that make money, reach out and let's build together Disclaimer Nothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.

  7. 24 Apr

    20: AI Is Eating SaaS: Why I Just Cancelled Figma, Photoshop & More with podcast hosts Sam Kamani and Will Schmidt

    This week I sit down with Will to break down the fastest-moving week in AI yet. I share why I've cancelled most of my team's Figma subscriptions now that Claude Design is here, and we compare it to how Figma disrupted Adobe back in the day. We dig into ChatGPT's image model improvements, the rumoured SpaceX acquisition of Cursor, and why Claude still leads on honesty compared to other LLMs. We also get into something I think about a lot — AI anxiety and whether these tools replace jobs or create new ones. Spoiler: in my own business, I've hired more people after AI than before. Disclaimer:- Nothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. --- CONNECT --- disruptia.news Web3 with Sam Kamani: https://www.web3pod.xyz/ https://www.linkedin.com/in/samkamani/ --- KEY POINTS WITH TIMESTAMPS --- • [00:00] We kick off talking about how fast AI moves — Claude Design dropped just days after our last episode • [01:02] I explain why I cancelled most of my team's Figma subscriptions and why I think Claude Design is the tipping point • [02:47] Will pushes back — Figma still wins for complex, high-fidelity work with big design systems • [03:11] We compare this moment to when Figma disrupted Adobe and Photoshop — history is repeating • [05:31] Canva now has a native Claude integration so you can export straight from Claude into Canva • [07:30] ChatGPT's image model 2.01 finally nails text rendering — a long-standing frustration for everyone • [08:20] I share my Gemini Imagen tip for image generation and how I used to chain it with GPT to remove the watermark • [09:07] Will breaks the news on a potential SpaceX acquisition of Cursor at an $80 billion valuation • [09:46] Claude Code vs Codex vs Cursor — what we're actually using day to day at the agency • [10:44] The biggest remaining problem with AI coding assistants: overconfidence and weird workarounds • [11:17] Claude scores the lowest on the "hallucination confidence" index compared to all other LLMs • [15:48] Will cancelled a personal finance app because he built his own with Claude — and it's better • [17:02] My friend in India uses Claude to replace Xero for personal bookkeeping — it categorises and graphs everything • [18:14] AI anxiety — should you be scared about your job? Our honest take • [19:08] My view: AI doesn't shrink what we create, it multiplies it — I've hired more people since AI than before • [20:27] Why agency and software development is actually a great place to be right now • [22:22] I'm heading to Vegas and Miami for conferences — catching up with AI companies in person

Trailer

About

Disruptia is a podcast where Artificial Intelligence and Tech News collide with Comedy. Disruptia is not your average podcast. On this podcast we invite a standup comedians to discuss the latest, the greatest, and the downright strangest in the tech universe. Here at Disruptia we love breaking down the most complex tech topics into bite-sized, digestible, and most importantly - jargon-free pieces We're here to disrupt your world, to bring the future to your doorstep, but we're also here to make you laugh. Disruptia is hosted by Sam Kamani, an best selling author and multi exit founder