The first essay in Stuart McClure's AI Exposed series makes the case that the AI industry's culture of hype is not just annoying — it is genuinely dangerous. Inflated promises divert resources, mislead decision-makers, and ultimately slow down the real progress that matters.
Stuart draws on thirty-five years at the intersection of technology and security to deliver a clear-eyed assessment of where AI actually stands. As the founder of Cylance — the company that built the world's first AI-native endpoint security product and grew to a $1.5 billion acquisition — he has seen firsthand how marketing narratives diverge from engineering reality.
The simple truth is this: AI is powerful, but it is a tool, not magic. The models that exist today are probabilistic pattern-matchers trained on historical data. They can be remarkably effective within well-defined domains, and remarkably brittle outside them. The hype machine papers over these limitations with vague language about "general intelligence" and "autonomous reasoning" that bears little relationship to what shipping products actually do.
For security professionals — and for business leaders of every kind — the cost of this confusion is real. Boards make purchasing decisions based on vendor claims. Investors fund roadmaps built on fantasy. Security teams deploy tools believing they are protected when they are not. The antidote is not cynicism about AI; Stuart is deeply committed to its transformative potential. The antidote is honesty about the current state of the technology and disciplined thinking about where and how it adds genuine value.
This essay is the opening argument in a series that will build, through four parts, toward a comprehensive and honest account of AI's promise and its limits. It is essential reading for anyone who wants to navigate the current moment with their judgment intact.