OpenAI’s Greg Brockman Says AI Writes 80% of Code Now – And We Are 70-80% of the Way to AGI

Okay, let me put this into perspective. Greg Brockman, the co-founder and president of OpenAI, recently sat down for an interview and dropped some statements that should make everyone in tech pay attention. He said that OpenAI’s tools are now writing approximately 80% of all code. That is not a typo. And then, almost as if that was not enough, he followed it up by saying we are 70-80% of the way toward Artificial General Intelligence. Yikes.

If you have been following the AI space at all, you know that these kinds of claims from insider sources tend to move markets, shift developer behavior, and cause quite a stir on social media. But what does this actually mean for developers, businesses, and the average person using AI tools today? Let us break it down.

What Is Actually Happening With AI-Written Code

Brockman did not just throw out the 80% figure casually. He was speaking on the No Priors AI podcast, and the context was about how quickly AI-assisted development has scaled. OpenAI’s tools, particularly the models powering ChatGPT and their API services, are increasingly handling the heavy lifting in software engineering tasks. This includes writing boilerplate code, debugging, refactoring, and even architecting solutions.

The implications are massive. If AI is truly writing eight out of every ten lines of code in some development contexts, the role of the human developer is shifting dramatically. It is less about typing out syntax and more about directing, reviewing, and strategically planning what the AI should build.

The Developer Productivity Revolution

Here is what this looks like in practice for teams already using these tools:

• Speed increases – Developers report completing tasks in a fraction of the time when AI assists with code generation
• Fewer syntax errors – AI models are generally better at producing clean, error-free code on the first pass
• More time for strategy – Human developers can focus on higher-level design and problem-solving
• Democratization of coding – People with less formal training can now build functional software with AI assistance

The 70-80% Toward AGI Claim – What Does That Even Mean

This is where things get really interesting and, frankly, a little controversial. Brockman estimates we are roughly 70 to 80 percent of the way toward Artificial General Intelligence. AGI refers to a hypothetical AI system that can match or exceed human intelligence across virtually any cognitive task – not just narrow things like writing code or generating images, but truly general reasoning.

The fact that an OpenAI insider is putting a number on this is significant. Most AI researchers have been reluctant to pin down specific progress metrics toward AGI because the goal itself remains loosely defined. But Brockman seems confident that the path is becoming clearer.

Some experts agree with this trajectory. The rapid improvements in reasoning, multimodal understanding, and agentic behaviors (AI systems that can use tools and take actions autonomously) do suggest we are in an accelerated growth phase. Others caution that the last 20-30% toward true AGI could prove to be the hardest part – the difference between imitating intelligence and genuinely understanding.

Why OpenAI Is Positioned to Lead This Race

Let us not forget the financial backing behind these claims. OpenAI recently finalized a $10 billion joint venture with private equity firms to deploy AI at scale. The company is also raising billions more to help enterprises adopt their technology. This is not moonshot research money anymore – this is serious infrastructure investment being deployed into real-world applications.

Anthropic, OpenAI’s primary competitor, has made similar moves by partnering with Goldman Sachs, Blackstone, and other Wall Street giants in a $1.5 billion AI venture. The race to build and monetize advanced AI systems is no longer just a tech industry story – it is a Wall Street story now.

What This Means For You as an AI User or Business Owner

Here is the practical takeaway from all of this. Whether you are a solo developer, a startup founder, or someone running a larger organization, the tools are already here and they are getting better fast. The question is no longer if AI will transform your work, but how quickly you adapt.

Businesses that integrate AI coding assistants, conversational AI, and agentic workflows now will have a significant advantage over those that wait. The technology is accessible, affordable (especially with free tiers and API pricing dropping regularly), and increasingly powerful.

Key Areas Where AI Impact Is Already Massive

• Customer service – AI chatbots handling FAQs and first-tier support 24/7
• Content creation – Marketing teams using AI for drafts, social posts, and creative brainstorming
• Software development – As Brockman highlighted, code generation is leading the charge
• Data analysis – AI helping spot patterns and generate insights from complex datasets
• Product design – AI tools helping prototype and iterate faster than ever before

Should You Be Excited or Nervous

Honestly, probably both – and that is okay. The 80% code statistic and the AGI progress reports are not meant to frighten anyone. They are meant to illustrate how rapidly the landscape is shifting. Every major technological leap has brought both opportunity and disruption.

The developers who embrace AI as a partner rather than viewing it as a threat are the ones who will thrive. The same goes for businesses. This is not about AI replacing humans wholesale – it is about augmentation. The human who works with AI will outperform the human who does not, almost every time.

If Brockman is right and we are truly 70-80% toward AGI, the next few years will be the most transformative in the history of technology. And for once, that is not hyperbole from a marketing deck – that is coming from someone who is actually building the thing.

So what should you do right now? Start experimenting if you have not already. Explore the AI tools available for your specific industry. Pay attention to the developments coming out of OpenAI, Anthropic, Google, and Microsoft. The train is moving fast, and you definitely want to be on it.

Curious about which AI tools are worth your time and money? Head over to AIToolGate for honest, in-depth reviews and comparisons of the latest artificial intelligence tools and platforms. We help you separate the hype from the genuinely useful.

And if you want to stay ahead of the curve on stories like this one, AIToolGate is your go-to source for AI news, tool reviews, and practical guides for leveraging AI in your daily work. Do not get left behind – the future is arriving faster than any of us expected.

How I reviewed this

AI Tool Gate evaluates AI tools and AI industry updates from a developer/operator perspective. I look at practical use cases, product positioning, pricing signals, reliability concerns, and whether the tool is actually useful for real workflows.

• Use-case fit: who this is for and who should skip it.
• Practical value: what changes for developers, creators, teams, or businesses.
• Trust check: claims are compared against public product pages, announcements, docs, and observable market context when available.

About the author

Gallih Armadaw is a senior backend developer with 8+ years of experience building production systems across PHP/Laravel, Node.js, cloud infrastructure, Web3, and AI-assisted workflows. AI Tool Gate focuses on practical, no-fluff analysis for people deciding which AI tools are actually worth their time.

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