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OpenAI Eyes a Possible $1 Trillion IPO by 2027 While Burning Billions: Legitimate AI Bet or a Bubble Waiting to Pop?

OpenAI, last valued at roughly 852 billion dollars in a March 2026 funding round, is reportedly preparing for an IPO that could target a valuation of up to 1 trillion dollars and raise 60 billion dollars or more, possibly in late 2026 or 2027. The company's 2025 revenue grew 233 percent to about 20 billion dollars, but it lost roughly 1.22 dollars for every dollar of revenue, and 2026 losses are projected around 14 billion dollars, with cumulative losses potentially reaching 115 billion dollars by 2029 before profitability arrives sometime in the 2030s. OpenAI also missed its own 2026 revenue target of 30 billion dollars, and faces intensifying competition from Google's Gemini, which has reportedly reached about 900 million users, as well as Anthropic and others. Supporters see a category-defining company investing aggressively in a genuine technological shift; skeptics point to governance turmoil, heavy dependence on Microsoft, talent departures, and a widening gap between hype and financial fundamentals.

The valuation is justified. OpenAI is the clear category leader in a technology shift as significant as the internet or mobile, its revenue is growing extremely fast, and heavy losses now in exchange for market dominance and profitability in the 2030s is a normal, defensible playbook for a company at this stage.
This looks like a bubble. Missing its own revenue targets, losing more than a dollar for every dollar earned, and projecting over 100 billion dollars in cumulative losses are the kind of numbers that should worry investors, no matter how important the underlying technology is, and a trillion-dollar price tag prices in years of flawless execution that hasn't happened yet.
It's a real business at the wrong price and the wrong moment. OpenAI's technology and user base are genuinely valuable, but heavy Microsoft dependence, an ongoing talent exodus, and fast-rising competition from Google and Anthropic make a trillion-dollar valuation premature until the competitive picture and governance concerns settle down.

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# OpenAI reportedly aiming for 1 trillion dollar IPO valuation is this still an opportunity : r/stocks. Skip to main contentOpenAI reportedly aiming for 1 trillion dollar IPO valuation is this still an opportunity : r/stocks. Open menu Open navigationGo to Reddit Home. Get App...
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# The AI history that explains fears of a bubble. Concerns among some investors are mounting that the AI sector, which has singlehandedly prevented the economy from sliding into recession, has become an unsustainable bubble. Nvidia, the main supplier of chips used in AI, becam...
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48% of Americans hope AI cures cancer or Alzheimer's — but only 15% trust the companies building it. Is that optimism justified?

A nationwide survey by AI company Anthropic (nearly 52,000 U.S. respondents) found real hope alongside real distrust: 48% of Americans hope AI helps cure diseases like cancer or Alzheimer's, and 36% think it'll help people with disabilities. But only 15% trust the AI companies actually building this tech to make good decisions about how it's developed and used, and 64% still fear AI-driven job losses. It's a strange split — people want the outcome but don't trust who's delivering it. It comes as real progress keeps landing: this month Merck and Moderna reported a "clinically meaningful" mRNA cancer vaccine result, and AI-assisted drug discovery tools are increasingly credited with speeding up how new treatments get found. Separately, Pew Research's latest survey found scientists remain America's most trusted profession, with 77% of people trusting science overall — suggesting the distrust is aimed at tech companies specifically, not science itself.

The optimism is justified. Real breakthroughs keep landing — AI is already speeding up drug discovery and helping decode diseases faster than humans could alone. Distrust of the companies is a separate, valid concern about power and profit, but it doesn't mean the underlying science won't deliver.
These aren't actually contradictory. People can want a cure and distrust the company chasing it at the same time — hoping for the outcome while doubting the messenger's motives is a completely rational response, not a paradox that needs resolving.
The optimism is premature. Most "AI will cure cancer" headlines are hype attached to early-stage research — real cures are decades of incremental science away, not a tech product launch. The fact that only 15% trust these companies shows people's gut instinct is closer to the truth than their hope.

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What cures have doctors found for cancer? Is there a natural cure for cancer that has been found by a medical doctor? Do most doctors want to find the cure for cancer, or are they getting more money by not having a cure? How is cancer treated by a doctor and cured fully? Havin...
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