Freelancer/Gig Worker Rate Impact by 2028

GSV(1) was $966.4 million, decreased 4% year-over-year … While lower-complexity work continues to shift toward automation, we are increasingly seeing what is emerging in its place: growing demand for high-value AI talent, more complex projects, and new categories of work across SMB and Enterprise.

Using proprietary data on incumbent freelancers and a difference-in-differences design that leverages cross-sectional variation in pre-period AI exposure and skill-level, we show that freelancers more exposed to AI shift away from prior domains and reorient bidding toward higher-value contracts.

Marketplace revenue in the second quarter of 2026 was $63.1 million, compared to $74.7 million in the second quarter of 2025, a decline of 15.5% year over year. Annual active buyers1 as of June 30, 2026, were 2.7 million, compared to 3.4 million as of June 30, 2025, a decline of 21.9% year over year. Annual spend per buyer1 as of June 30, 2026, reached $368, compared to $318 as of June 30, 2025, an increase of 15.6% year over year.

Freelancers performing AI work on Upwork earn 34% more per hour than those not incorporating AI. GenAI/creative production contracts grew 90% YoY in contract starts but per-contract earnings fell 13% — a signal that 'lower-complexity AI execution may become less lucrative as it scales.' Freelancers doing more complex work with AI saw earnings rise 45% YoY; AI-augmented professional services grew 72% in volume with 22% earnings gains. Skilled freelancers now represent 38% of U.S. knowledge workers, up from 28% (a 10pp increase); 58% of full-time employees now consider freelancing, up from 36%.

Difference-in-differences study on 49,610 Upwork workers and 2.26M contracts (2021Q1–2026Q1) around the release of ChatGPT. Uses text embeddings of worker profiles and Shapley values to quantify the predictive importance of human capital signals (self-presentation, credentials, reputation) and price. In max AI-exposed categories vs. unexposed, contract volume fell ~7.0% post-ChatGPT (9.6% late period, 2025Q2–2026Q1); the combined importance of human capital signals fell 7.8% (10.1% late) while price importance rose 1.1% (1.8% late). Demand premium for high-human-capital workers compressed by 6.2% (10.3% late), and demand reallocated toward lower-priced workers by 3.2% (7.9% late). Authors interpret as empirical evidence of AI-driven labor commoditization — clients view differently-skilled workers as more substitutable when AI compresses output quality.

The 114th International Labour Conference adopted Convention C193 on Decent Work in the Platform Economy on June 12, 2026 — the first legally binding international treaty dedicated entirely to regulating the digital platform economy. Attendance: 5,700+ delegates from 187 ILO Member States. The Convention extends fundamental rights (freedom of association, collective bargaining, protection from discrimination and forced labor), occupational safety and health, adequate remuneration, data protection, and algorithmic decision-review mechanisms to platform workers. It establishes global protections for more than 150 million workers who earn their living through digital labour platforms.

GSV(1) was $987.1 million, approximately flat year-over-year … GSV per active client(1) of $5,138 increased 5% year-over-year … GSV from AI-related work increased more than 40% year-over-year in Q1 2026. … Today, Upwork is also announcing a restructuring plan that includes a reduction of the Company’s total workforce by approximately 24%.

Analysis of public communications from five major AI labs finds a consistent narrative framing domain experts as interchangeable data suppliers rather than irreplaceable professionals. The reframing creates a cheap-expertise gig economy with downward pressure on credentialed knowledge-worker wage premiums and freelancer rates.

Q1 2026 revenue of $105.5 million, down 1.6% year-over-year. Marketplace revenue fell 13.6% to $67.1 million, while Services revenue jumped 30% to $38.4 million. Annual active buyers slipped to 2.9 million as of March 31, down 17.8 percent from 3.5 million a year earlier, but spend per buyer rose 15.4 percent to $356. Projects priced over $1,000 grew at a strong double-digit clip, and clients completing those engagements were up 18 percent year over year. The pivot is partly a response to a flood of low-quality AI output eroding marketplace trust.

In the moderate AI scenario, almost all freelance software-engineering jobs requiring 5 days of effort from an experienced human are automatable by 2030. In the rapid scenario, AI surpasses all freelance software engineers.

In just a few hours I was able to produce what previously cost $1,000 from an outsourced dev team ... We realized we will need even fewer staff than we initially thought, because AI allows us to do in house what we assumed required outsourcing.

Full-year 2025 revenue of $430.9M, up 10.1% YoY. Active buyers down 13.6% in 2025. Spend per buyer reached $342, rising 13% YoY. Writing, translation, and simple programming categories declining ~20% due to AI substitution. High-value projects over $1,000 grew 23%. 2026 revenue guidance: $380M-$420M, a decline of 3-12% YoY.

Revenue grew 2% year over year to $787.8 million for full year 2025. GSV per active client was $5,129 in Q4 2025, an increase of 7% year over year. AI-related skills grew by 109% year over year. Active clients were 785,000 as of December 31, 2025.

Top skills explicitly tied to applying AI within existing roles grew 109% year over year. AI video generation and editing +329%, AI integration +178%, AI data annotation and labeling +154%, AI image generation and editing +95%, AI chatbot development +71%. The most sought-after skills including full stack development, general virtual assistance, data analytics, and graphic design have remained consistently strong year over year. Nearly half of business leaders say they would pay a premium to work with independent talent who are creative and innovative. Analysis of completed-job freelancer earnings Jan 1-Dec 31, 2025.

LLMs disrupted labor market signaling on Freelancer.com coding jobs (2.7M applications, 61K posts). Employer WTP for 1 SD signal increase fell from $25.67 to $14.85 (42% decline). Counterfactual no-signaling equilibrium shows 5% avg wage decline, 1.5% hiring reduction, 4% worker surplus loss.

Best AI agent (Manus) earned $1,720 out of a possible $143,991 across 240 real freelance projects — capturing only 1.2% of economic value. Automation rate: 2.5%.

Fairwork's 2025 Cloudwork Report evaluates 16 global cloudwork platforms — ranging from freelance marketplaces to data annotation services — against five principles of fair work: pay, conditions, contracts, management, and representation. Findings show both encouraging improvements and persistent gaps in platform accountability and worker protections for 'millions of workers powering the digital and AI-driven economy,' highlighting 'the urgent need for stronger governance, transparency, and rights.' Most cloudwork platforms are not meeting minimum standards of fair pay, conditions, contracts, management, and representation.

Business spend on freelance marketplaces fell from 0.66% to 0.14% of total spend. Writer earnings on these platforms dropped ~31% (based on marketplace spending data; other studies find 5-33% declines depending on metric). Over half of businesses stopped using freelancers for AI-automatable tasks.

Digital trace data show substitution already occurring in writing and translation tasks; declining demand for novice workers across AI-complementary freelance work.

High-skill freelancers disproportionately affected by AI — top performers were impacted most, contradicting conventional wisdom that expertise insulates workers.

Demand for substitutable skills, such as writing and translation, decreased by 20-50% relative to the counterfactual trend, with the sharpest decline observed for short-term (1-3 week) jobs. The difference-in-differences analysis reveals that, compared to the unaffected clusters, substitutable clusters experienced a 25% decline, while complementary clusters as a whole showed no significant effects.

Workers see ChatGPT halving working times in about a third of tasks, but employer restrictions and required training hinder adoption.

Generative AI is upending freelance work. High-skill freelancers were disproportionately impacted, with top performers seeing the largest setbacks in both contracts and earnings.

Freelancers in more affected occupations experienced a decrease of 2% in the number of monthly jobs and a decrease of 5.2% in monthly earnings on the platform, following the release of ChatGPT, compared to freelancers in less-affected occupations.

Writing freelancers reported 15% fewer job postings; early signs of rate compression in translation and content categories.