I agree with much of the author’s analysis, but one point feels underweighted. Large shifts like this often produce a counter-movement.
In this case, the reaction is already visible: more interest in decentralized systems, peer-to-peer coordination, and local computing instead of cloud-centric pipelines. Many developers have wanted this for years.
AI companies are spending heavily on centralized infrastructure, but the trend does not exclude the rise of strong local models. The pace of progress suggests that within a few years, consumer hardware and local models will meet most common needs, including product development.
Plenty of people are already moving in that direction.
Qwen models run well locally, and while I still use Claude Code day-to-day, the gap is narrowing. I'm waiting on the NVIDIA AI hardware to come down from $3500 USD
In this case, the reaction is already visible: more interest in decentralized systems, peer-to-peer coordination, and local computing instead of cloud-centric pipelines. Many developers have wanted this for years.
AI companies are spending heavily on centralized infrastructure, but the trend does not exclude the rise of strong local models. The pace of progress suggests that within a few years, consumer hardware and local models will meet most common needs, including product development.
Plenty of people are already moving in that direction.
Qwen models run well locally, and while I still use Claude Code day-to-day, the gap is narrowing. I'm waiting on the NVIDIA AI hardware to come down from $3500 USD