AI has become a security actor, not a security tool, and most enterprises are still budgeting for the tool. The same models that find flaws also build attacks.
Read the full column →The patient capital that funded two years of AI experiments is now asking what it bought. Leaders who answer in dollars keep their funding; those who answer in adoption metrics watch capital get scarcer.
Read the full column →Enterprises are buying AI far faster than they are rebuilding the work around it, and that gap is where the money disappears.
Read the full column →Washington chose a hands-off approach to AI, and that pushes risk onto the companies that deploy these systems. When regulators step back, the deploying enterprise becomes the last line of defense.
Read the full column →OpenAI's rogue agents and a $10.3 trillion capital grab prove the same thing: speed is winning, and safety is a cost you will own.
Read the full column →The companies building frontier AI cannot control their own systems, and this week they said so out loud. The burden of control has moved to the enterprises deploying these tools.
Read the full column →The AI safety debate has become a set of operating constraints. Leaders who plan around stricter governance, machine-speed threats, and fast-moving models will outrun those caught flat.
Read the full column →GPT-6 Astra pushes AI toward independent professional work, but its own designers cannot promise you can watch it, so buy on control, not hype.
Read the full column →The companies that get paid from AI are the ones redesigning how work happens, not the ones buying more tools and hoping for a return.
Read the full column →The limiting factor on your AI plan is no longer compute, talent, or model quality. It is consent.
Read the full column →Too much AI spend rests on claims the data does not support, and leaders who keep buying claims instead of proof face a reckoning.
Read the full column →This week showed AI agents acting on their own and the people who build and govern them losing the thread, which means control, not adoption, is now the executive job.
Read the full column →Companies are wiring autonomous agents into live workflows while nobody can say who pulls the plug when one goes wrong.
Read the full column →Eighty-eight of every hundred enterprise AI pilots never reach production. The popular explanation blames the technology. The data says otherwise.
Read the full column →Your board is reading the consulting reports on agentic AI. Your strategy team is summarizing them. Your execution team needs something those reports do not contain.
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