
AI’s Inflection Point: From Productivity Tool to Existential Risk
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Artificial intelligence is evolving faster than most organizations, and regulators, are prepared for. In this episode of the #SecureAFPodcast, we sit down with Chris Hood, a veteran technologist and financial industry leader, to explore how AI has evolved from early computing to today’s large language models and agentic systems.
We discuss real‑world AI use in highly regulated environments, the benefits and risks of agentic AI, growing concerns around AI security and alignment, and why some experts believe general, and eventually superintelligence, may be closer than many expect, even if we’re not there yet.
Along the way, the conversation takes a few intentional detours, as two seasoned technologists reflect on decades of computing history and how past technology shifts help frame today’s AI inflection point.
From practical productivity gains to long‑term implications for security, jobs, and society, this conversation goes beyond hype to ask the hard questions security leaders should already be considering.
This is Part 1 of a deeper discussion on AI, risk, and the future of human‑machine collaboration.
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