OpenAI's costs are insane. Training GPT-4 reportedly cost over $100 million. Running inference at scale burns cash faster than almost any business in history. The company loses money on many ChatGPT Plus subscriptions after accounting for compute costs. And they're in an arms race with Google, Meta, Anthropic, China's tech giants, and a hundred well-funded startups.

On r/wallstreetbets, reactions were predictably mixed but surprisingly insightful. One user noted: "$852B for a company that might get disrupted by the next model architecture in 18 months seems wild." Another quipped: "This is peak bubble behavior. When the funding rounds are bigger than most IPOs, something's broken."

Here's what troubles me most: this valuation is based on private market trading, not public markets. That means less transparency, less scrutiny, and more room for inflated numbers. When companies like OpenAI eventually go public, retail investors end up holding the bag if reality doesn't match the hype.

The $852 billion also reflects something broader about how we value companies in 2026. Traditional metrics like price-to-earnings ratios or free cash flow have been thrown out the window. Now it's about "total addressable market" and "transformative potential." That works great in bull markets when capital is cheap and everyone believes. It works less great when interest rates are high, markets are shaky, and investors start asking uncomfortable questions like "when will this make money?"

I want to be careful not to dismiss OpenAI's genuine achievements. The technology is real. The products work. Enterprises are actually paying for them. But there's a difference between "valuable company building important technology" and "worth more than Switzerland."

Compare OpenAI's valuation to Boeing (worth about $115 billion), which makes actual airplanes that physically move millions of people. Or Ford ($40 billion), which manufactures hundreds of thousands of vehicles. Or Goldman Sachs ($140 billion), which has been making billions in profits for over a century. Are we really saying a money-losing AI company is worth 6x Boeing?

The honest answer is: maybe. If OpenAI achieves even half of what bulls believe—enterprise domination, consumer subscription scale, becoming the infrastructure layer for AI—then $852 billion could look cheap in hindsight. That's the nature of investing in transformative technology: the winners justify crazy valuations by growing into them.

But history also shows that most high-flying tech darlings don't grow into their valuations. Most see their multiples compress as growth slows, competition intensifies, and profitability remains elusive. For every Google that justified its hype, there are a dozen Pets.coms and Groupons that didn't.

If you're a retail investor watching this and feeling FOMO, remember: you didn't miss out. You can't even buy OpenAI stock yet. And when you eventually can through an IPO or secondary market, ask yourself whether the valuation at that moment makes sense—not whether AI is important (it is) or whether OpenAI is impressive (it is), but whether the price is reasonable.

If they can't explain the path from $7 billion in revenue to justifying an $852 billion valuation, they're probably hiding something—like the fact that even in the best case scenario, it'll take a decade of perfect execution to grow into those numbers.