Businesses buying enterprise AI still can’t prove whose judgment they are buying.
Models get headlines, but the orchestration layer will determine whether today’s AI efforts scale or stall.
The AI boom is draining the copper supply. Real-world asset tokenization could help ease the strain.
I put each model through a series of everyday tasks. Here’s what I learned about what they’re good at.
AI coding tools speed up writing but move the bottleneck to delivery. Unlocking real productivity gains requires updating your operating model.
AI can’t replace genuine expertise, but it can reveal when someone is faking it. Career durability now rests on building real depth.
AI infrastructure is still treated as a data-center story, but billions of underused GPUs already sit much closer to users. The next infrastructure boom relies on putting them to good use.
As businesses scramble to unlock the power of agentic AI, the same systems demanding modernization can also streamline it.
AI can make an engineer faster, but it can make a subject matter expert nearly unstoppable.
Why the next big leap in AI is less about writing clever instructions and more about designing the right system around the model.
