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.
Essays
Proof is often treated as an endpoint, the thing that resolves uncertainty and compels agreement. In complex systems, it rarely works that way. What happens between the evidence and the person interpreting it matters more than the evidence itself.
Blueprints
A blueprint for understanding systemic digital vulnerability. National cyber risk is not a collection of isolated security incidents. It is macroeconomic exposure, and markets and states consistently underprice it.
Essays
Fragile systems rarely announce themselves. They continue to operate, deliver value, and meet surface-level expectations long after their internal coherence has begun to erode. The costs accumulate where nobody is looking.
Essays
Modern digital systems treat visibility as a default and anonymity as something to be explained or eliminated. But the economic and ethical costs of exposure run deeper than most system architects acknowledge, and the trade-offs are rarely made explicit.
The path into the technology industry has changed in ways that most career advice hasn't caught up with. The onramp is narrower, the expectations higher, and the old assumption that beginners would be given time to grow has largely disappeared.