In a recent conversation with Axios journalist Mike Allen, Altman explained that the next wave of AI systems may enable a single developer to perform tasks that currently require an entire team of engineers.

According to Altman, the transformation is already underway. Developers today are experiencing measurable gains by integrating AI tools into their workflows, with some reporting they are two to three times more productive than before. However, he believes this is only the beginning. Future models, combined with advanced computing power, could push productivity to entirely new levels-potentially allowing one person to match the output of a full-scale development team.

"I'm able to do like the work of a whole team with these tools," is the kind of statement Altman expects to become more common.

Such a shift could significantly reshape how companies approach hiring and team structures. Rather than relying on large engineering groups for certain projects, organizations may begin to favour smaller, highly efficient teams-or even individual contributors-supported by powerful AI systems. While Altman did not suggest that teams will disappear entirely, he indicated that reliance on large groups for repetitive or routine coding tasks could diminish.

The evolution of coding roles is already visible. Altman pointed out that the difference between software development practices in early 2025 and early 2026 is substantial. Developers are increasingly using AI not just to write code, but also to debug errors and recommend solutions. Currently, these tools function mainly as assistants. However, the next generation could take on far more responsibility, handling larger portions of the development lifecycle.

This transition could also accelerate innovation. With AI managing time-consuming tasks, developers may be able to focus more on system design, creative problem-solving, and building new features. Faster development cycles could, in turn, lead to quicker product releases and more rapid technological advancement.

Altman also highlighted that the impact of AI will extend well beyond software development. Knowledge-driven industries such as research, data analysis, and scientific discovery are likely to see similar productivity gains. Future AI systems may not only assist professionals but also contribute to significant, high-impact outcomes.

He suggested that these tools could enable individuals to achieve what he described as "career-defining" results-work that could shape entire fields or industries.

Despite the optimism, Altman acknowledged that such rapid technological progress raises important questions. As productivity per individual increases, organizations will need to rethink workforce structures and job roles. Concerns about job displacement are also growing, as fewer people may be needed to accomplish the same amount of work.

To address these challenges, OpenAI has released a 13-page document titled Industrial Policy for the Intelligence Age, outlining strategies for governments and institutions to prepare for the coming changes. The document emphasizes the need for proactive adaptation as AI continues to redefine the boundaries of human productivity.

Altman's comments underscore a pivotal moment in the evolution of work-one where the scale of individual capability could expand dramatically, reshaping industries and redefining what a single person can achieve.