The Futurmatic Podcast

AI is getting more powerful. But the bigger question may be who actually controls it.In Episode 4 of The Futurmatic Podcast, Gary Zhou, Det Ansinn, and Jesse Berdinka explore what happens as frontier AI models begin to commoditize, open-weight models close the performance gap, and intelligence becomes something companies can increasingly run, route, and orchestrate across their own infrastructure.The conversation moves from AI sovereignty and the rise of open models to the global race for compute, the growing importance of multi-model resilience, cybersecurity in an agentic world, and the uncomfortable reality that enterprises may be building their most critical workflows on intelligence they do not fully control.But the conversation goes deeper than infrastructure.If AI can perform work, operate autonomously, interact with other agents, and eventually participate in the economy, where does the tool end and the actor begin? What happens to trust, identity, privacy, employment, and even our relationship with technology itself?In this episode:Why AI orchestration may matter more than choosing the “best” modelThe rapidly expanding open-model ecosystemAI sovereignty and the case for local inferenceWhy model redundancy is becoming an enterprise requirementThe U.S.-China AI race and the economics of brute-force computeCybersecurity and defensive co-scaling in an agentic worldWhy AI adoption is ultimately a human change-management problemThe dead internet, humanoid robots, and AI personhoodWhat happens when intelligence itself becomes infrastructureThe models are becoming commodities.Control isn’t.Welcome to The Futurmatic Podcast.

In Episode 3 of The Futurmatic Podcast, Gary Zhou, Det Ansinn, and Jesse Berdinka unpack one of the biggest shifts happening in software right now: the repricing of SaaS in the age of AI.For the last 20 years, SaaS was built around a simple assumption: more users meant more seats, more seats meant more revenue, and more revenue meant more company value.AI is breaking that assumption.When AI can perform work, resolve tickets, update systems, generate workflows, support customers, write code, and operate across tools, the old per-seat model starts to feel misaligned. If one AI-enabled operator can do the work of five, ten, or hundreds of people, what exactly is the software company charging for?This episode explores why the “SaaS apocalypse” narrative is too simplistic. SaaS is not dead. But the old math is changing.We discuss:• Why per-seat pricing is under pressure• How AI changes the total addressable market for SaaS companies• The shift from software budgets to labor budgets• Why some SaaS products become more valuable in an AI world• Why low-value SaaS tools and AI puffery will get exposed• How Salesforce, Adobe, Microsoft, Google, OpenAI, Anthropic, and others fit into the changing landscape• Why headless software and agent-driven workflows may redefine the user experience• How AI changes build vs buy decisions for businesses• Why outcome-based pricing sounds ideal, but is difficult to measure• What buyers should ask before paying more for AI features• Why systems of record, workflow engines, infrastructure, and trusted data may become the real moatsThe core question is not whether SaaS survives.The better question is:What kind of SaaS survives when AI changes who does the work, how work gets priced, and where value actually lives?This is a conversation for founders, operators, investors, CTOs, CFOs, product leaders, and anyone trying to understand how AI is reshaping the economics of software.SaaS is not dead.But the seat is losing power.And the future of software may be less about how many people log in, and more about how much work gets done.Subscribe to The Futurmatic Podcast for more conversations on AI, software, business models, automation, and the future of work.

AI Is a Human Problem — not a technology problem.In Episode 2 of The Futurmatic Podcast, Gary Zhou, Det Ansinn, and Jesse Berdinka explore what AI is really disrupting: identity, meaning, and how we define our value in the world.This isn’t a conversation about tools or workflows.It’s a conversation about being human.As AI removes friction and accelerates output, it forces a deeper question:What happens when effort is no longer required?In this episode, we unpack:Why AI is fundamentally a change management and behavioral challengeHow rituals, habits, and routines shape our resistance to changeThe identity crisis created by effortless outputWhy “everyone becomes a CEO” in an AI-driven world, and why most people aren’t readyThe collapse of hustle culture and “work = worth” thinkingThe shift from IQ to EQ as intelligence becomes abundantThe rise of the human premium: trust, taste, judgment, and connectionWhy friction may be the most important feature we preserveKey takeaway:If AI makes intelligence abundant, then intelligence is no longer the differentiator.What remains is deeply human.At Futurmatic, we believe AI transformation is not a tech problem.It’s a human one.We help organizations navigate both.🎧 Full episode available on YouTube as well.🔔 Subscribe for more conversations on AI, business, and the future of being human.

AI is no longer a science project... it’s on the P&L. In this episode, we break down the economics of running AI in production: token costs, FinOps practices, and how hiring is changing in the GenAI era. We cover what it means to be an AI operator in 2026, how to govern usage, and why cost visibility is the new leadership muscle.