I built this because I couldn't find it anywhere else.
I work in an industry that AI is actively reshaping. Like a lot of people, I spent most of 2025 oscillating between two feelings: this is overhyped and I'm falling behind.
The problem wasn't a lack of information. It was the opposite. Every morning brought a new wave of headlines — layoffs here, a breakthrough there, an executive declaring that "AI will replace 40% of jobs by Tuesday." Then the next article would say AI can't reliably summarise a PDF.
I wanted something that didn't exist: a single, calm number that told me whether this week actually mattered, or whether it was just noise.
So I built it.
Pace AI tracks how fast AI is actually changing work — not how loud the headlines are.
Every week, the system reads hundreds of news items across five dimensions:
Each dimension gets a score. The scores combine into a single pace reading from 0 to 10, placed into one of four zones:
If you're seeing a lot of Running weeks right now — that's real. We're in one of those stretches. When it eventually settles back to Walking, that will mean something too.
Pace AI is not a prediction tool. It doesn't tell you whether AI will take your job. It doesn't rank AI companies or recommend products.
It measures attribution — what people and organisations are saying and doing about AI in the context of work. When a company announces layoffs and cites AI as a factor, that gets captured. Whether AI was the actual cause is a separate question that Pace AI deliberately does not answer.
The scores reflect the signal in the news, not verified causation. This distinction matters, and it's noted on every page.
The pipeline runs every Monday at 2am AEST — while most of Australia is asleep, including me. It pulls from curated RSS feeds, deduplicates and categorises hundreds of items using AI (yes, using AI to measure AI — I'm aware of the irony), and scores each dimension through a rules-based system calibrated against a year of historical data.
No human picks the stories. No editorial judgment decides what scores higher. The methodology is transparent and documented on the Methodology page.
The name borrows from endurance sports, where pacing is everything. Go out too fast and you burn out. Go too slow and you fall behind. The trick is reading conditions — knowing when to push and when the headwind isn't worth fighting.
AI at work feels a lot like that right now. Except instead of a running watch, most people have been scrolling X. Now you check Pace AI.
If you're a professional who works with information — accounting, consulting, marketing, engineering, HR, legal, management — and you want a weekly reality check on AI without subscribing to the hype cycle, this is for you.
Five minutes a week. One page. Either the pace picked up or it didn't.
This is a one-person project. I read every message.