AI Grew Up Fast: Reasoning Models, Agents, and What Leaders Do Next with Dell’s Allen Clingerman

If you still think AI is something your organization can “watch for another year,” this episode will change your mind.To open season two of Between Fires & Futures, Tonya welcomes back Allen Clingerman, Chief Technology Strategist at Dell, for a grounded, no-hype conversation about what has actually changed in AI since last spring and why 2026 is the year experimentation officially gives way to enterprise reality.Allen brings nearly four decades of experience across mainframes, cloud, infrastructure, and AI to explain why AI is no longer a side project or innovation lab experiment. In just nine months, AI has moved from demos and copilots into core enterprise infrastructure, with reasoning models and agentic systems already operating in production environments. The result is new opportunity and an entirely new risk profile that most leaders are not prepared for yet.This conversation goes beyond tools and trends to unpack what is really shifting underneath the surface, including how tokenization costs are reshaping architecture decisions, why private AI and hybrid deployments are accelerating, and what happens when AI systems do not just assist but act.If you are an IT leader, executive, or strategist trying to balance speed, security, cost, and accountability in an AI-driven future, this episode offers the clarity most conversations skip. In this episode, they dig into:Why AI crossed the line from experimentation to core infrastructure faster than anyone expectedThe rise of reasoning models and agentic AI and what changes when systems can plan, act, and execute with minimal human oversightWhy governance, behavior control, and accountability now matter more than raw model performanceThe hidden risks of agentic systems, including quiet overreach, cascading failures, and machine-speed security threatsWhat Dell learned by becoming “customer zero,” including how internal AI tools gave leaders back up to 75 percent of their timeHow tokenization costs are reshaping decisions around cloud, on-prem, and edge deploymentsWhy private AI, small language models, and AI-enabled PCs are becoming critical to cost control and data protectionThe shift from one massive model to fleets of specialized, coordinated models running across hybrid environmentsWhy most organizations get stuck in pilot mode and the three things blocking AI from reaching productionWhat leaders should prioritize in 2026, including ownership, data readiness, workflow redesign, and change managementWhy the next big conversation will not be about AI features but AI behavior governance, shadow agents, and ML Ops maturity Important Links:https://app.technologymatch.com/solutions/dell-technologies-ai-factoryhttps://app.technologymatch.com/solutions/dell-ai-pcshttps://app.technologymatch.com/solutions/dell-ai-solutionshttps://app.technologymatch.com/solutions/dell-pro-ai-studiohttps://app.technologymatch.com/solutions/dell-pro-max-with-gb10https://www.linkedin.com/in/clingerman/