OpenAI Study Finds AI Freelance Projects Carry Larger Budgets

OpenAI on November 10, 2026 published joint research with Upwork showing that AI-related fixed-price freelance postings carried budgets 52.4% higher than comparable non-AI postings, while the adjusted gap in advertised hourly rates was only 1.5%.

The full report, The Rebundling of Freelance Work in the AI Age, treats that contrast as evidence that project scope and the quantity of labor purchased matter more than a simple hourly premium. All three adjusted estimates compare work within the same subcategory and posting month. Among hired hourly contracts with positive recorded hours, AI-related work involved 40.6% more hours during the first 90 days after hire, with observations through April 2026.

The study classifies a posting as AI-related when it requests AI skills, requires AI tools or involves improving AI-generated output. A fixed-price budget covers an entire deliverable, while the hourly measure is the midpoint of the client’s advertised range, separating the price of time from the amount of work purchased.

Freelance Demand Shows No Uniform Substitution Pattern

Content writing provides the clearest contrast between direct AI use and freelance hiring. The study reports that it accounted for 14.5% of sampled personal and work-related ChatGPT conversations from January 2025 through June 2026, compared with 1.3% of Upwork postings in the first half of 2026. Its share of Upwork postings fell roughly 31% between the first halves of 2025 and 2026.

The report’s wider comparison supplies contrasting cases: video and animation represented 1.0% of sampled ChatGPT conversations but 10.0% of Upwork postings, while mobile development accounted for 0.2% and 7.8%, respectively. Relative ChatGPT intensity compares category shares in ChatGPT during the second half of 2025 with an Upwork baseline in the first half of 2023.

Across 63 matched subcategories, 43 either had lower relative ChatGPT intensity and gained marketplace share or had higher intensity and lost share. Six categories combined higher intensity with share gains and 14 combined lower intensity with losses, leaving 20 outside the simpler substitution pattern. Direct AI use alone therefore does not explain the changing composition of freelance demand.

AI Projects Span More Task Combinations

The report’s task analysis shows the effective number of clusters in AI-related postings rising from 14.6 in January–June 2023 to 21.2 in July–December 2025, approximately 45%. The measure expresses diversity as the equivalent number of equally represented clusters, capturing how work spread beyond a few dominant activities.

Within individual postings, the study found an average of 3.35 distinct task clusters in AI-related jobs, compared with 3.19 in other jobs. AI-related postings were more likely to contain three or four tasks, with no corresponding increase in the five-or-more category. Among jobs with at least two tasks, historically uncommon pairs accounted for an average 8.4% of pairs in AI-related postings and 2.4% in non-AI postings; uncommon means the pair appeared together in fewer than 200 pre-AI postings.

Examples in the report combine AI-generated video with editing and motion graphics, or chatbot development with application integration, to deliver a finished outcome. Social-media campaign management, AI-generated video, marketing automation and AI API integration gained share within AI-related work from 2023 to 2025. Building chatbots and machine-learning models remained the largest cluster, although its share of task assignments declined from 21.8% to 17.8%.

What The Platform Data Measure

The ChatGPT comparison used 36,896 conversations sampled from consumer accounts and classified as personal or work-related. It excluded schoolwork, unclear-purpose conversations and conversations without an Upwork taxonomy match. GPT 5.6 Luna classified each conversation using up to its first five available user messages; the report states that no researcher read user messages or examined individual user data.

Upwork grouped more than 3,000 activity descriptions into more than 400 standardized task clusters. A GPT-powered pipeline evaluated each posting’s title, description, requested skills, taxonomy and other context to classify AI-related work. The category analysis tracks share changes through the second half of 2025 and does not measure aggregate marketplace growth. More broadly, the two datasets are not directly matched, neither represents the labor market as a whole, and the estimates describe associations rather than causal effects.

For separate market context, Upwork’s July 14, 2026 Future Workforce Index drew partly on a March–April 2026 survey of 2,400 U.S.-based skilled workers. It reported that 38% of skilled U.S. knowledge workers freelance, up from 28% the prior year. That survey is distinct from the joint report and does not supply its platform estimates.

The authors’ broader interpretation is that freelance value may increasingly lie in connecting tools, applying domain judgment and delivering finished outcomes. On these platforms, project scope and integration therefore carry as much of the AI labor-market signal as demand for any single activity.