For people trying to make sense of AI

Track AI's footprint without the spin.

AI FootprintTM tracks how AI is changing work, infrastructure, policy, health, science, education, and culture. The front page carries the most important headlines; the category pages carry today's full list by beat.

Updated September 20, 2026Latest edition September 20, 2026Front page editor's picksCategories full daily lists
Editorial image mapping AI's impacts across infrastructure, work, health, education, and policy

Headline articles · September 20

The strongest stories from the latest edition.

Environment

CAISO’s Large Loads clock: FERC show-cause EL26-71 — draft final and draft tariff language due 24 September.

Tariff-response process — not IEA +17% 2025; not PJM ride-through.

Read today’s coverage
Jobs

Philadelphia Fed LIFE: workers reject AI damage to their own job — and still say the whole market is changing.

Own-job vs market perception — not Minneapolis Fed Freund–Mann; not a layoff print.

Read today’s coverage
Policy

EU Transparency Code of Practice: 95 provider and 192 deployer signatories for AI-content marking.

Voluntary code uptake — not GPAI Code 53/55; not a restated Article 50 FAQ.

Read today’s coverage
Health & Science

Virtual Biotech: ~37,000 AI agents mined >55,000 trials and proposed a CD276 lung-cancer ADC — still unvalidated.

In-silico discovery — not a bedside RCT; not JMIR first-trimester ML.

Read today’s coverage

Daily beats

Each page has today's items for that lane.

Positive stories are included where they belong. A medical breakthrough goes under Health & Science. A job-gain story goes under Jobs. An energy-efficiency story goes under Environment.

Editorial standard

Useful, not theatrical.

1

Today means today.

Current pages carry the latest publishing window; older material goes to the archive.

2

One story, right lane.

Benefits are not siloed. Good news is filed under the category it affects.

3

Source dates matter.

Edition dates and story dates are kept separate.

4

Keep it human.

The point is to help readers see what changed and why it matters.

Origin

This started with buffalo cauliflower.

Frank made a funny AI image during a work trip. A coworker said it was wasteful and bad for the environment. Instead of dismissing that concern, he wanted a better answer: what does one AI use actually cost, and how should people think about all the bigger uses happening every day?

Read the origin story
Original AI image of a buffalo-cauliflower hybrid at a bowling alley that sparked AI Footprint
The playful image that turned into a serious question.