Why the OpenAI Hiring Surge Signals a Crisis of Professional Control

The management problem in AI is no longer whether the models are improving. They are. The management problem is whether the working surface is becoming more dependable or less.

That is why the recent OpenAI hiring story on its plan to nearly double its

I have just posted a trio of new research white papers to SSRN. These represent the latest output from the Kennedy Idea Propulsion Laboratory and the culmination of my work over the last month to move AI beyond “utilitarian drift.” This is the cycle of incremental efficiency gains that ultimately generates no transformative insight.

An investigation into why serious AI work depends less on clever prompts and more on defending invariants, boundaries, and human judgment.

At the end of a long, technical AI session this week, something became clear to me: human-in-the-loop is being misunderstood in ways that matter.

The issue wasn’t whether the system could generate outputs quickly