OpenAI's $852 Billion Valuation: Is the Money Actually Worth It?

On March 31st, OpenAI announced completion of a $122 billion private funding round.

Post-money valuation: $852 billion.

Breaking the record for the largest private funding round in business history. Led by Amazon, Nvidia, and SoftBank, with Amazon alone contributing $50 billion.

Honestly, when I saw this number, my first thought was: Is this money actually worth burning?

What does $852 billion mean? It’s equivalent to Tencent + Alibaba + Baidu combined. A company less than 10 years old, valued higher than China’s three internet giants.

Where does this money go? Is OpenAI really worth this price tag?

Where Did the $122 Billion Go?

OpenAI didn’t disclose details, but we can make educated guesses from public information.

First, compute. GPT-6’s training cost reportedly hit $1 billion. Plus inference costs, data center construction—compute expenses likely account for over half the funding.

Second, talent. OpenAI now has 3,000+ employees. Average annual salary at least $300,000. That’s $1 billion just in salaries per year.

Third, strategic investments. OpenAI’s been expanding into chips, robotics, embodied AI. All require capital.

But what I’m most curious about: How long will this money last?

How Strong Is OpenAI’s Money Printer?

Public data shows OpenAI’s annualized revenue has surpassed $20 billion. Monthly revenue exceeds $200 million.

Sounds like a lot, but compared to the $852 billion valuation, this revenue scale isn’t actually that big.

The valuation/revenue ratio exceeds 40x. That’s already high for a tech company. Apple is 7x, Microsoft 12x, Google 6x.

In other words, the market expects OpenAI’s revenue to multiply several times over.

But here’s the question: Where does growth come from?

Currently, OpenAI’s revenue mainly comes from ChatGPT subscriptions and API calls. Both segments are already slowing.

Where are the new growth drivers? Enterprise services, agents, robotics… these are directions, but whether they can support an $852 billion valuation remains unclear.

Is the Technical Moat Deep Enough?

This is what I care about most.

In the LLM race, technology iterates incredibly fast. GPT-6 just launched, and Claude, Gemini, DeepSeek are right behind.

Plus, open-source models are advancing faster than expected. Llama 4, Mistral, and other open models are approaching closed-source performance.

If open-source models reach GPT-6’s level, does OpenAI still have a moat?

Of course, OpenAI has unique advantages: compute resources, talent pool, ecosystem. But how long can these advantages last?

Anthropic, Google, ByteDance, Alibaba, Baidu… every player is burning money furiously. Who’ll have the last laugh is hard to say.

My Judgment

Honestly, I think the $852 billion valuation is a bit high.

It’s not that OpenAI isn’t valuable—it’s that this valuation front-loads 5-10 years of growth expectations.

If GPT-7, GPT-8 maintain technical leadership, if enterprise agents truly land, if robotics achieves commercialization… then maybe this valuation holds.

But if competitors catch up, if open-source models reach parity, if technology iteration hits bottlenecks… then this valuation becomes a bubble.

What I personally care about more: Can this money actually advance AI technology.

$122 billion shouldn’t just be about “building better chatbots.” I want to see genuine world-changing breakthroughs—AGI, embodied intelligence, general-purpose robots.

If it’s just about market share battles and valuation inflation, then this money is truly “burned.”

Of course, I might be worrying unnecessarily. OpenAI’s technical team is genuinely strong, and Sam Altman has strategic vision. Maybe they really can turn this valuation into reality.

But as a practitioner, I’d rather see healthy competition than a valuation bubble.

After all, when bubbles burst, it’s always the last bag-holders who get hurt. And the AI industry can’t afford too many bubbles.