Finding #1 — Earnings fell twice as hard as jobs
Jobs −2%. Earnings −5.2%.
After ChatGPT’s release, freelancers in AI-exposed occupations took 2% fewer jobs per month — but their monthly earnings dropped 5.2%, compared to freelancers in less-exposed work. The gap between those two numbers is the quiet story: it wasn’t just fewer gigs. The gigs that remained paid less per freelancer — a squeeze on both volume and price at once.
Finding #2 — The odds of landing ANY job dropped ~10%
Writing freelancers: 1 in 10 monthly hires — gone.
For freelancers offering writing-related services, the probability of starting at least one new job in a given month fell by 1.2 percentage points — roughly a 10% drop against baseline employment. And among those who did stay employed, job counts fell another 4.7% and income 5.1%. The hit landed on both margins: harder to get hired at all, and thinner once you were.
Finding #3 — Being top-rated made it WORSE
Top image freelancers lost 14% of earnings.
The most uncomfortable result in the paper: freelancers with above-median prior earnings — the established, top-rated ones — suffered larger declines than beginners. In writing work they lost an extra 1.2% of jobs and 2.9% of income beyond the average effect. In image-based services, top earners lost 7% of jobs and 14% of monthly earnings — both significant at the 1% level. Reputation, reviews, and track record did not shield anyone: when the underlying task becomes automatable, the freelancers with the most task-based income have the most to lose.
What this means for you
Reputation is not a moat. Your business model is.
Read together with Part 1 (job posts −21% in exposed categories) and The Freelance Profit Gap, the picture is consistent: (1) per-task platform work is where all the damage concentrates — fewer posts, lower pay, worse odds. (2) Five-star reviews on automatable tasks are an asset denominated in a shrinking currency; the study shows top performers fell furthest. (3) The value migrated, it didn’t vanish — surviving job posts carry higher budgets and more complexity, direct clients pay 34% more than platforms, and AI-augmented freelancers earn a 40%+ hourly premium. The moat isn’t being the best at the task. It’s owning the client relationship and selling the outcome around the task.
Count what % of your income is per-task platform work on automatable deliverables — that number is your exposure. Then start moving it: Training 104 builds your direct-client outreach system, and the Profit Gap report shows the pricing math for what replaces it.
Get the next data report first
Subscribe for all upcoming trainings + hints from other freelancers — and data drops like this before they hit the site.
Free forever · unsubscribe anytime you want. Solo starves — the Tribe shares.
You’re in — good things are on the way. ✓
Quick answers
Did AI reduce freelancer earnings?
Yes — in a peer-reviewed study of 92,547 freelancers, AI-exposed occupations earned 5.2% less per month and took 2% fewer jobs after ChatGPT, versus less-exposed work. Income fell more than job counts.
Are top-rated freelancers safe from AI?
No — the opposite. Above-median earners suffered larger declines: an extra 1.2% of jobs in writing, and in image services top earners lost 7% of jobs and 14% of earnings. Reputation didn’t shield anyone.
Which freelancers lost the most income?
Writing freelancers saw a ~10% drop in the odds of landing any monthly job; top-earning image/design freelancers lost 14% of monthly earnings — the largest measured decline.
Is freelancing still worth it in the AI era?
Yes — but the strategy changed. Damage concentrates in commodity per-task platform work; AI-skilled freelancers earn 40%+ premiums, surviving jobs carry bigger budgets, and direct clients pay 34% more than platforms.
Sources
- Hui, Reshef & Zhou — “The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market” — Organization Science (free working-paper PDF)
- Part 1: Who Is AI Actually Replacing? What 1.4 Million Job Posts Reveal — Demirci, Hannane & Zhu (2024)
- Freelancer Tribe — The Freelance Profit Gap: 7 Data-Backed Truths
- Upwork Research Institute — AI skills premium data (2025)