OpenAI says more workers are using ChatGPT to do other people’s jobs

What happened

OpenAI analyzed over 800,000 work-related ChatGPT queries and found that nearly 44 percent involve users performing tasks outside their formal job roles. This phenomenon, which OpenAI calls “task crossover,” means workers increasingly rely on ChatGPT to handle specialized work that usually belongs to other professions. The trend is especially strong in small businesses, where dedicated experts may not be available and employees use ChatGPT to fill those gaps.

Why it matters

Task crossover signals a shift in how AI reshapes workforce boundaries. ChatGPT lowers the barrier for workers to take on tasks that require skills they traditionally lack, effectively blurring job roles. For small businesses, this can reduce hiring costs and speed up workflows by sidestepping the need for certain specialists. However, it also raises questions about quality, accountability, and skill development if workers rely heavily on AI to do expert-level work. This trend changes incentives around training and may pressure companies to rethink their workforce composition and support structures.

What to watch next

Keep an eye on how businesses adjust their hiring and training policies as task crossover grows. Will companies accept a looser division of labor enabled by AI, or will they reinforce expertise in critical roles to manage risk? Also watch for developments in AI tools tailored to niche professional tasks, which could accelerate crossover but add complexity around reliability and compliance. Regulators and labor groups may also respond to shifting job definitions as AI tools enable workers to stretch their roles.

AI Quick Briefs Editorial Desk