AI & Technology
For most of the history of software, there was a hard line between people who could build things and people who could only describe what they wanted built. Generative AI has made that line porous. Not erased, but dramatically lower for prototyping and exploration.
AI & Technology
There's a seductive compression that happens when organizations talk about AI. Productivity becomes capability, capability becomes intelligence, and before long people are talking as if the system that drafts emails might also make strategic decisions.
AI & Technology
Plot the Dunning-Kruger curve next to the Gartner Hype Cycle and you get the same shape. That's not a coincidence. It reveals a coupling between individual psychology and collective technological adoption that most analyses miss entirely.
AI & Technology
There's a pattern in how organizations first encounter AI: someone discovers a chatbot, has a striking conversation, and becomes convinced that AI is a destination. The organizations extracting the most value have moved past that assumption entirely.
AI & Technology
AI systems arrive as general-purpose tools, trained on broad datasets and marketed on their versatility. But generality comes with a cost: a system that can do anything adequately often does nothing particularly well. Generic capability translates into generic output.
AI & Technology
Most of the time, when AI falls short, the problem is that the task wasn’t framed well. The very same model that gives you bland or useless output in one setup can produce work that’s genuinely helpful in another, simply because the way you described and structured the task changed.
AI & Technology
AI systems produce outputs that read as if created by someone who knows what they're talking about. The grammar is correct, the structure logical, the confidence unwavering. This fluency creates a problem: the surface features of credibility are present even when the underlying substance is wrong.
AI & Technology
The first and most fundamental misunderstanding about AI is that it replaces human capability. This belief shows up as fear, as hope, and as business cases built on headcount reduction. Each version misreads what these systems actually do.
AI & Technology
A ten-part series examining how AI actually behaves once it's embedded in real work. Each principle begins with a failure mode, traces it to its structural cause, and proposes a way to stay oriented as scale, speed, and confidence outpace judgment.