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Greg Brockman: OpenAI’s tools now write 80% of code, we’re 70-80% towards AGI, and Sovereign AI is reshaping national policy | No Priors AI

AI now writes 80% of OpenAI's code, marking a significant leap towards artificial general intelligence.

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Add us on Google by Editorial Team May. 5, 2026

Key Takeaways

• OpenAI’s coding tools have drastically increased their efficiency, now writing 80% of the code compared to 20% a month ago.
• The AI industry is rapidly approaching artificial general intelligence (AGI), with OpenAI estimating they are 70-80% of the way there.
• AI tools significantly enhance the speed of software development, even for those with limited coding knowledge.
• Sovereign AI is becoming a major focus for countries developing their own AI models to ensure data sovereignty.
• Morgan Stanley predicts a massive increase in hyperscaler capital expenditures, reaching $1.1 trillion by 2027.
• AI is projected to play a substantial role in US GDP growth, potentially accounting for 75% of growth in the coming years.
• Technological advancements at companies like SpaceX illustrate the potential to achieve what seems impossible.
• OpenAI and Anthropic are in a competitive race for enterprise AI adoption, with Anthropic currently leading.
• Both OpenAI and Anthropic are preparing for IPOs, potentially happening later this year.
• Partnerships with private equity firms are enabling OpenAI and Anthropic to access mid-market businesses more effectively.
• The rapid advancement of AI coding tools is transforming the software development landscape.
• The competition between AI companies is intensifying, with significant implications for market dynamics.
• The forecasted increase in capital expenditures highlights the growing importance of AI infrastructure.
• The potential economic impact of AI underscores its significance in future growth strategies.
• Strategic partnerships are crucial for expanding AI’s reach into various business sectors.

Guest intro

Greg Brockman is President and Chairman of OpenAI. He co-founded the company in 2015 after serving as CTO at Stripe. Brockman has shared that AI now writes 80% of OpenAI’s code by month’s end, up from 20%.

The rapid advancement of AI coding tools

• OpenAI’s coding tools have significantly increased their output, now writing 80% of the code. “Oh even over the course of December we went from these agentic coding tools writing 20% of your code to writing 80% of your code this is a four x jump in one single month.” – Greg Brockman
• This shift in AI capabilities is crucial for understanding the future of software development.
• AI coding tools significantly accelerate the development process despite their imperfections. “I think at the end of the day it’s for people that aren’t developers that don’t know how to code… you’re still going a 100 times faster than if you’re doing it from scratch.” – Greg Brockman
• The efficiency of AI tools in coding is emphasized, even for those with limited coding knowledge.
• The rapid advancement of AI coding tools is transforming the software development landscape.
• The increased output of AI coding tools reflects a broader trend in AI’s growing capabilities.
• The implications of AI’s rapid advancement in coding are significant for software development.
• AI tools are becoming indispensable in the coding process, enhancing productivity and efficiency.

Approaching artificial general intelligence

• OpenAI is 70 to 80% of the way to achieving AGI, with potentially only two breakthroughs needed. “OpenAI is 70 to 80% of the way to AGI… we’re maybe two breakthroughs away.” – Greg Brockman
• This prediction about AGI’s proximity is significant for the future of AI development.
• The rapid progress towards AGI highlights the transformative potential of AI technologies.
• Understanding the current state of AI research is crucial for grasping the implications of AGI.
• The potential achievement of AGI represents a pivotal moment in AI development.
• The societal implications of AGI are profound, warranting careful consideration.
• The forecast of AGI’s proximity underscores the need for continued innovation in AI research.
• The pursuit of AGI is a key focus for leading AI companies, driving significant research efforts.

The emergence of sovereign AI

• Sovereign AI is emerging as a significant product category, particularly for countries developing their own AI models. “Sovereign ai is becoming a huge product category right now… they’re helping companies and countries create ai models specifically that are their own.” – Greg Brockman
• The concept of Sovereign AI has implications for national security and data sovereignty.
• The trend towards Sovereign AI reflects a growing focus on data control and independence.
• Countries are increasingly interested in developing their own AI models to ensure data sovereignty.
• The emergence of Sovereign AI highlights the strategic importance of AI in national policy.
• The development of Sovereign AI models is a response to concerns over data privacy and control.
• The rise of Sovereign AI is reshaping the landscape of AI development and deployment.
• The implications of Sovereign AI extend to both businesses and governments, influencing policy decisions.

The economic impact of AI

• AI could significantly contribute to US GDP growth in the coming years. “He said the AI could account for as much as 75% of US GDP growth over the next… number of years which is massive.” – Greg Brockman
• This bold prediction reflects the potential economic impact of AI on future growth.
• The role of AI in economic growth is a critical topic in the tech and economic landscape.
• The potential contribution of AI to GDP growth underscores its significance in economic strategies.
• The forecasted economic impact of AI highlights the importance of continued investment in AI technologies.
• The potential for AI to drive substantial GDP growth is a key consideration for policymakers.
• The economic implications of AI are profound, influencing both national and global economic strategies.
• The projected impact of AI on GDP growth reflects its transformative potential across industries.

The competitive landscape in AI

• OpenAI and Anthropic are in a competitive race for enterprise AI adoption. “openai feels like they’re in an existential crisis because anthropic is crushing it with enterprise adoption and openai is trying to really get in there.” – Greg Brockman
• The competition between AI companies is intensifying, with significant implications for market dynamics.
• The race for enterprise AI adoption highlights the strategic importance of AI in business.
• The competitive dynamics between leading AI companies are crucial for understanding market movements.
• The focus on enterprise adoption reflects the growing demand for AI solutions in business.
• The competition in the AI sector is driving innovation and strategic partnerships.
• The race for AI adoption underscores the importance of staying ahead in the rapidly evolving AI landscape.
• The competitive landscape in AI is shaping the future of technology and business strategies.

Strategic partnerships in AI

• Private equity partnerships allow OpenAI and Anthropic to access mid-market businesses more efficiently. “they’re partnering with private equity companies because these private equity companies own a ton of different mid market businesses and they’re partnering with them to get openai into those businesses.” – Greg Brockman
• Strategic partnerships are crucial for expanding AI’s reach into various business sectors.
• The role of private equity in business expansion is significant for AI companies.
• Partnerships with private equity firms enhance market penetration for AI companies.
• The strategic approach of partnering with private equity reflects a focus on business growth.
• The collaboration with private equity firms is a key strategy for accessing new markets.
• The importance of strategic partnerships in AI is underscored by the need for market expansion.
• The role of partnerships in AI development highlights the interconnectedness of business and technology.

The future of AI infrastructure

• Morgan Stanley predicts that hyperscaler capital expenditures will reach $1.1 trillion by 2027. “Morgan stanley analyst ben reets specifically called out that 2027 spending could hit a $1,100,000,000,000 mark.” – Greg Brockman
• The forecasted increase in capital expenditures highlights the growing importance of AI infrastructure.
• The substantial investment in AI infrastructure reflects the expanding role of data centers.
• The prediction of increased capital expenditures underscores the significance of AI in the tech landscape.
• The focus on AI infrastructure is a response to the growing demand for data processing capabilities.
• The investment in AI infrastructure is crucial for supporting the development and deployment of AI technologies.
• The future of AI infrastructure is a key consideration for tech companies and investors.
• The projected growth in capital expenditures reflects the strategic importance of AI infrastructure in the tech industry.

The role of technological advancements

• Technological advancements in companies like SpaceX demonstrate that what seems impossible can be achieved. “they were able to achieve it and to be fair if you look back seven years i mean the the technological advancements they went through were really incredible… they really did hit their goals they were able to scale up it seems impossible and they figured out things that were quote unquote impossible along the way.” – Greg Brockman
• The potential for overcoming perceived limitations in technology is highlighted by advancements at SpaceX.
• The achievements of companies like SpaceX illustrate the transformative power of technological innovation.
• The role of technological advancements in achieving seemingly impossible goals is significant for the tech industry.
• The success of technological innovations reflects the potential for continued progress in AI development.
• The advancements in technology are a testament to the power of innovation and perseverance.
• The potential for technological breakthroughs underscores the importance of continued research and development.
• The role of technological advancements in shaping the future of AI is a key consideration for industry leaders.

Preparing for IPOs in the AI sector

• OpenAI and Anthropic are preparing for IPOs later this year. “essentially what’s happening in my opinion is openai and anthropic they’re both preparing for ipos that could come this fall.” – Greg Brockman
• The preparation for IPOs reflects the financial strategies of major AI companies.
• The significance of IPOs in the tech industry is underscored by the potential for growth and expansion.
• The preparation for IPOs highlights the financial strategies of leading AI companies.
• The potential for IPOs in the AI sector is a key consideration for investors and industry analysts.
• The role of IPOs in the financial strategies of AI companies reflects the importance of market dynamics.
• The preparation for IPOs is a strategic move for AI companies seeking to expand their market presence.
• The significance of IPOs in the AI sector underscores the importance of financial planning and strategy.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.