Overview of Will the SpaceX slump pop the AI bubble?
This ABC News Daily episode explores whether the recent slump in Elon Musk-linked tech hype is a warning sign for the broader AI market. Host Sam Hawley speaks with outspoken AI critic Ed Zitron, who argues that the entire AI boom is built on inflated expectations, weak business fundamentals, and heavy subsidization — and that a major correction is increasingly likely.
What the episode is about
The discussion begins with the sharp fall in shares after a high-profile IPO debut that initially drew huge excitement from investors. That disappointment is used as a springboard into a wider question: if the market is cooling on one marquee AI-linked company, does that threaten the rest of the sector — especially OpenAI and Anthropic?
Zitron’s answer is essentially yes: he says the AI boom is not a durable revolution but a confidence game that has been propped up by hype, hyperscaler spending, and a lack of scrutiny.
Ed Zitron’s main thesis
The AI bubble is, in his view, mostly OpenAI
Zitron argues that OpenAI sits at the center of the AI economy:
- It drives the majority of AI compute demand
- It accounts for a large share of AI revenue
- ChatGPT created the cultural and commercial demand that justified the entire industry’s expansion
His point is that without OpenAI’s influence — and the subsidies that make free and cheap usage possible — the current AI ecosystem would be much smaller.
The business model doesn’t add up
He says there is still no convincing proof that generative AI is producing real ROI at scale:
- Companies claim productivity gains, but studies suggest engineers may actually be slower using generative AI
- Many layoffs blamed on AI are, in his view, really just cost-cutting or “AI washing”
- Most use cases remain limited to coding help, search, and brainstorming
- The major AI firms remain deeply unprofitable
He points to leaked figures suggesting OpenAI’s costs have massively outpaced revenue, making a near-term IPO harder to justify.
Why the AI IPO story has cooled
The episode highlights how investor enthusiasm has shifted:
- Early hype suggested major AI companies could attract enormous valuations
- But market reaction to recent IPO-related excitement has been weaker than expected
- OpenAI’s reported plans to list have apparently been delayed amid investor skepticism
- Zitron says the conversation has moved from “AI will change everything” to “we may be spending too much on this”
In his view, that’s a sign the market is beginning to recognize that the returns are not matching the spending.
How Zitron says the bubble could burst
The trigger is reduced spending by Big Tech
He argues the bubble will start to unwind when major hyperscalers — especially Microsoft, Google, Meta, and Amazon — stop pouring money into data centers and infrastructure.
If that happens:
- NVIDIA revenue would fall
- Memory and chip suppliers such as Micron and SK Hynix would be hit
- Server manufacturers and related supply chains would also suffer
- The investment logic supporting the sector would weaken quickly
OpenAI failure would shake confidence industry-wide
Zitron says OpenAI failing would not just hurt one company — it could undermine belief in the whole sector. In his view, many AI startups and investors are riding on the assumption that OpenAI proves the model works. If it collapses, people may realize that many companies never had a viable path to profit.
He compares this not to the dot-com bubble in a simple sense, but to a broader collapse in trust and belief.
What would happen if the bubble bursts?
Zitron predicts a major retrenchment rather than the end of all AI:
- Free consumer chatbots like ChatGPT’s free tier may disappear
- Public-facing AI features could shrink or become less prominent
- Large language models may become niche, expensive tools sold to specialists
- The current idea of a universal, consumer-grade LLM could fade
He also argues there would be a media reckoning:
- Reporters and outlets will have to confront how much they helped inflate the hype
- The public may become more skeptical of AI claims
- The fallout would mostly affect ordinary people, not the wealthy investors and executives
Key takeaways
- The episode frames the recent slump in Musk-linked AI hype as a possible warning sign for the wider AI market.
- Ed Zitron argues the AI boom is built on hype, subsidies, and weak fundamentals rather than sustainable profits.
- OpenAI is presented as the linchpin of the sector; if it falters, the rest of the AI ecosystem could lose credibility fast.
- The real risk, in Zitron’s view, is not a neat bailout-style collapse, but a sudden loss of confidence that exposes how much of the industry has been propped up by expectations rather than results.
- If the bubble bursts, the impact will likely be felt most by workers, consumers, and the broader tech supply chain — not by the richest players.