AI & Job Losses
AI is already eliminating jobs across writing, customer service, coding, legal research, and data analysis — and the workers bearing the displacement costs are rarely the ones who benefit from the productivity gains.
what it is & why it matters
The systems, industries, and policy questions shaped by artificial intelligence, data infrastructure, and the digital economy.
AI is already eliminating jobs across writing, customer service, coding, legal research, and data analysis — and the workers bearing the displacement costs are rarely the ones who benefit from the productivity gains.
The physical infrastructure of the AI revolution — vast server farms consuming the electricity of mid-sized cities and the water of small towns — is being built faster than the grid can support, largely without public deliberation.
Training and running AI models requires billions of gallons of water for cooling — a hidden environmental cost that falls disproportionately on drought-stressed communities with little say in where data centers are built.
AI is the most consequential technology since the internet — possibly since electricity — yet public understanding of what it is, how it works, and who controls it has not kept pace with its deployment.
Every wave of automation has been accompanied by confident predictions that new jobs will more than replace the ones destroyed — and those predictions have sometimes been right, often been wrong, and almost always obscured who pays the cost of the transition.