Blog

The idea of an AI trading assistant persists because it simplifies the problem into something tractable more data, better models, improved predictions.

As AI commoditizes code generation, ownership shifts from codebases to system coherence, data, and operations.

As code generation becomes abundant, coordination—not production—becomes the limiting factor in software delivery.

AI removes code production as the primary bottleneck, exposing delivery as the governing constraint. In enterprise systems, throughput is set not by how fast code is written, but by how fast it can be validated, coordinated, and safely deployed.

How AI shifts the constraint in software engineering from code production to system coherence, redefining how experienced engineers create leverage.

Why AI infrastructure spending is growing far faster than AI revenue, and what this reveals about the capital cycle shaping the AI economy.

How massive infrastructure investment is shaping the economics and evolution of artificial intelligence.

AI progress is increasingly constrained by compute infrastructure—GPUs, data centers, and energy—not just models or data.

AI is reshaping software development by compressing low-leverage engineering work and shifting value toward judgment, architecture, and systems thinking.