How We Normal People Can Understand OpenAI

You know that feeling? Two years ago, we were joking, “When will AI be able to do my homework for me?” And now, it’s not just homework. My friend’s marketing proposal, another friend’s Java script, even the Facebook posts for the coffee shop uncle downstairs—all done by AI. When we talk about AI, the first thing that comes to mind for most of us is ChatGPT, and the company behind it—OpenAI. But even though we use it every day, the company itself is still pretty fuzzy. What kind of company is it, really? Are they a charity? Why did Elon Musk suddenly sue them, and then just as suddenly, their valuation hit $300 billion? Today, let’s break down this whole OpenAI company overview from scratch, in plain, simple English.

Starting Out “Not for Profit”: A Strange Launchpad

A lot of people don’t know this, but OpenAI actually started as a non-profit in 2015. The founders were a big deal—Elon Musk, Sam Altman, and a few other tech heavyweights who are still around. You might be wondering, running a non-profit working on AI? How were they supposed to make a living?

Back then, their thinking was pretty idealistic. They wanted to build Artificial General Intelligence (AGI)—the kind of AI that’s smarter than humans. They were afraid that if a company like Google monopolized this kind of technology, the world would be in danger. So their original intention was: let’s build it, then open-source it for everyone to use, ensuring AI is safe and benefits all of humanity.

So at that time, they really were open source, releasing everything for the world to study. But as everyone later realized, building AI is incredibly expensive. Training a single model, the electricity and server costs alone can run into millions of dollars. A non-profit model, frankly, can’t go the distance.

By 2019, they made a critical decision: to create a for-profit subsidiary. But to hold onto their original mission, they set up a very unique OpenAI business model. The for-profit arm has a cap on its profits; anything above that goes back to the non-profit. And overall control of the company remains with the non-profit’s board. This structure is complex, but simply put: they needed money to keep running, but they didn’t want to be completely controlled by investors.

No Ads, So How Does the OpenAI business model Actually Work?

Speaking of money, we have to talk about their business model. Many people think OpenAI mainly makes money from our monthly subscription fees. Actually, that’s just the tip of the iceberg. OpenAI’s revenue sources now come from a few different layers: The first is the one we’re most familiar with: ChatGPT Plus / Pro, the subscriptions us regular users pay. But this is actually a pretty small part.

The second is the API platform. This is a bit more technical, but you can think of it like this: many outside companies, like the legal AI platform Harvey, or the search engine Perplexity, don’t reinvent the wheel by building their own AI. Instead, they “rent” intelligence from OpenAI, using the GPT models via an API. Pay as you go. This API business is growing very fast now. Annual Recurring Revenue (ARR) from the API alone has already crossed $1 billion.

The third is the Enterprise solution. This involves selling to big corporations, helping them build internal AI tools, like ChatGPT Enterprise for their employees, or custom-made models. Over 3 million users now use their enterprise services.

The fourth is newer and quite interesting: they’re starting to explore advertising and licensing. Sam Altman used to say ads were a last resort, but now, with the massive funding needed for the “Stargate” supercomputer project, they’re softening that stance. We might see sponsored content or commerce recommendations within ChatGPT. Another model is “revenue share”—if their AI helps a pharmaceutical company discover a new drug, and that company makes a ton of money, OpenAI takes a cut.

The core of the entire OpenAI business model is what they say on their website: scale with the value of intelligence. The more you rely on it, the more it costs, but the harder it is to leave.

From Elon Musk to Sam Altman: The OpenAI leadership team’s Power Play

After money, let’s talk about the people. Whether a company succeeds often depends on its leadership. OpenAI’s OpenAI leadership team has been through a lot of turmoil. In the earliest days, it was Elon Musk and Sam Altman as co-founders. But Musk left the board in 2018. The official reason was to avoid conflicts with Tesla’s AI development, but the rumor was that Musk wanted to take over the company himself, was refused, and so he left.

But the story didn’t end there. In late 2023, there was a dramatic “boardroom coup.” The existing board suddenly fired CEO Sam Altman, citing a lack of “consistent candor.” This news exploded across the tech world, catching even Microsoft off guard. Within days, nearly all 700+ employees threatened to quit if the board didn’t resign and bring Sam back. In the end, Sam Altman returned, and the board was restructured.

The current OpenAI leadership team has Sam Altman back as CEO, with original president Greg Brockman still around. The board now includes outside heavyweights like former Treasury Secretary Larry Summers and former Salesforce co-CEO Bret Taylor as chairman.

This whole saga tells us that while this company is working on futuristic stuff, its internal power struggles are just as dramatic as any corporate soap opera.

The OpenAI technology platform is Becoming a New “OS”

We often think of OpenAI as just a website or an app. But in reality, they’re building an entire OpenAI technology platform. Look at their recent moves. They launched the Apps SDK and AgentKit. What does this mean? Before, in ChatGPT, you could only do Q&A. But now, developers can use these tools to build an app inside ChatGPT. For example, you could just tell it to book a flight, and it will connect directly to Expedia’s or Booking.com‘s systems to handle it for you.

This ambition is huge. Their goal isn’t just to make a smarter chatbot; it’s to build the operating system for the next generation of computing. Just like we use phones by opening iOS or Android to run apps, in the future, we might operate within an AI platform, asking AI agents to handle tasks for us.

To make this happen, they need massive infrastructure. That’s why they signed multi-billion dollar deals with Oracle, NVIDIA, and AMD to develop their own chips and data centers. This is no longer just a software company; it’s a capital-heavy infrastructure company.

Who Are the OpenAI competitors in AI industry?

Finally, let’s look at the outside world. Although OpenAI was the first mover, this track is now incredibly competitive. OpenAI competitors in AI industry mainly fall into a few groups:

The first group is the old guard giants: Google (Gemini) and Microsoft (Copilot). Microsoft is OpenAI’s biggest backer, having invested over $10 billion. But Microsoft is also building its own AI, making their relationship delicate—partners and rivals at the same time. Google, needless to say, has incredibly deep technical foundations with DeepMind, plus massive distribution through Chrome, Android, and Google Search.

The second group is formidable startups: Anthropic. This company was founded by former OpenAI employees. Their model, Claude, can now go toe-to-toe with GPT-4 on many benchmarks. Some venture capital reports even suggest that in the enterprise LLM market, Anthropic’s share has surpassed OpenAI’s. This is pretty shocking and shows how intense the competition has become.

The third group is open-source models, like Meta (Llama), and players from China, like DeepSeek. DeepSeek, in particular, claims to achieve comparable results at a much lower cost. This poses a major threat to OpenAI because it challenges the entire logic of “bigger is always better.”

Regardless, market research firm Gartner, in a late 2025 report, still named OpenAI the “Company to Beat” in the LLM space. Meaning: you want to win? Catch me first.

Looking back, you see that OpenAI is truly a unique company. It started with a group of idealists, went through money problems and leadership drama, and is now a multi-hundred-billion-dollar behemoth. Its OpenAI history and mission have evolved, but the core idea—”ensuring that AGI benefits all of humanity”—is still on their website.

No one knows exactly what will happen with AI, or what this company will become. But one thing is certain: it’s no longer just a topic for casual conversation. It’s a force quietly changing how we work, live, and shaping the entire global economy. For us regular users, the most practical thing we can do in this era is to keep using it, keep experimenting, and keep thinking about how AI can save us time.