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Gary Gensler
Gary Gensler
Former Chairman, SEC
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Gary Gensler Talks Securities Outlook | Bloomberg Talks

📅 Jun 03, 2026 Bloomberg Podcasts 10 MIN 30 SEGMENTS · 2 SPEAKERS
Gary Gensler, former Chairman of the U.S. Securities and Exchange Commission, discusses securities outlook with Bloomberg's ...

What Gary Gensler said

Written from the verified transcript and checked against it. Every figure links to the moment it was said.

Gary Gensler, former SEC chair, discussed the SpaceX IPO, noting the US capital markets are merit-neutral and focus on full disclosure of material risks, especially given SpaceX's valuation at around 100 times revenues. He highlighted the dominance of a control shareholder and the need for investors to consider that risk. Gensler described 2026 as a remarkable year for mega IPOs, including SpaceX, Anthropic, and OpenAI, amid an AI boom with $750 billion in national AI infrastructure spending, tripled in two years. He warned of potential reckoning, as native AI revenues are only $100-150 billion against $700-800 billion in spending. He discussed China's open-weight model strategy and the Trump administration's voluntary 30-day AI review system, contrasting it with Biden's more robust approach. Gensler emphasized the challenge of responsible AI deployment, including in cyber attacks.

Key takeaways

  1. SpaceX IPO valuation is around 100 times revenues, not earnings, and investors must weigh control shareholder risks.
  2. US is spending $750 billion on AI infrastructure, tripled in two years, with native AI revenues only $100-150 billion.
  3. China's open-weight AI model strategy may attract US companies if US models don't stay ahead.
  4. Trump's executive order creates a voluntary 30-day AI review system, less robust than Biden's approach.

Numbers and commitments

FigureWhat it refers toTypeAt
100 times revenues SpaceX IPO valuation multiple metric 0:51
$750 billion National AI infrastructure spending metric 2:53
tripled in just 2 years Increase in AI infrastructure spending metric 2:53
$100-150 billion Native AI revenues currently metric 5:04
30 days Voluntary AI review period for US government timeline 6:46

Chapters

  1. 0:00SpaceX IPO and governance
  2. 2:23Mega IPOs in AI boom
  3. 2:53AI infrastructure spending and bubble risk
  4. 4:21Transformative technology cycles
  5. 5:52China's open-weight AI strategy
  6. 6:26Trump's AI executive order
  7. 7:49Responsible AI deployment

Questions asked in this interview

5
  1. 0:24I do wonder, given your past at the SEC, given the work you did on Sarbanes-Oxley, would this IPO have seen the light of day under the previous regulatory regime?
  2. 2:23Are we reading too much into this one particular IPO?
  3. 3:48When you look at the AI boom or at least the interest in it right now, do you look at the technology itself?
  4. 4:21Do you teach a class on AI and money?
  5. 6:26Did you get a chance at all to look at any of the contours of the executive order that Trump signed this week on kind of providing some sort of AI oversight?
Romaine Bostick 0:02 ↗
Bloomberg Audio Studios. Podcasts, radio, news.
Joining us right now is the former chair of the CFTC, the former chair of the SEC, former banker at Goldman, and now a professor lecturing on quite an array of things in the world of Wall Street and technology. Great to see you, Gary Gensler.
Gary Gensler 0:20 ↗
Great to be with you, Romaine. Sorry Katie couldn't be with us as well.
Romaine Bostick 0:24 ↗
She could not. She sends her best, and I'm actually going to start with a question that she actually raised. And this surrounds the SpaceX IPO and the corporate governance structure, which we learned from the S-1. And we are awaiting an updated S-1 filing later today that'll give us a little bit more clarity about what this is going to look like. I do wonder, given your past at the SEC, given the work you did on Sarbanes-Oxley, would this IPO have seen the light of day under the previous regulatory regime?
Gary Gensler 0:51 ↗
I haven't looked at it with that in mind, but you know, we have great capital markets in the US, and we basically say that we're merit-neutral. Whether it's under Democrats or Republicans, it doesn't matter. It's merit-neutral as long as there's the full disclosure about the material risk. And there are a lot of material risks when you're trying to offer something to the public at around 100 times revenues. That's not 100 times earnings. It's 100 times revenue. So it's really about whether there's all the material disclosures and particularly around the governance, as you said.
Romaine Bostick 1:28 ↗
Mhm.
Well, I mean, you know, in fairness, the disclosures are there. I mean, it's a pretty intertwined ecosystem with Elon Musk's interests and properties. So, fair enough to that. But then when you start to go through some of the regulatory sections out there with regards to independent audit committees, independent pay compensation committees, self-dealing, loans, things like that, there do seem to be a lot of issues with regards to what we've seen in that S-1 filing and why it's able to get to market without those being addressed.
Gary Gensler 2:03 ↗
And many companies have had control shareholders take things public, but this is one where it's really even more, one might say, dominated by that control shareholder. And so anybody investing in it has to sort of really take that risk in mind.
Romaine Bostick 2:23 ↗
Are we reading too much into this one particular IPO? We've had several other IPOs this year that have run into these issues.
Gary Gensler 2:30 ↗
I think it's a remarkable year when we see that SpaceX, Anthropic has apparently now filed, OpenAI wants to tap in, all these I'll call them mega IPOs, and yet Google also is tapping the market for $80 billion of fundraising.
Romaine Bostick 2:49 ↗
It's now $85 billion. They've actually raised it because of demand.
Gary Gensler 2:53 ↗
There we go. There we go. Look, we are in this AI boom and the question on investors' mind is it a bubble? But we're in this AI boom where we're spending as a nation $750 billion on AI infrastructure and that's tripled in just 2 years. And I think that each of these three companies, SpaceX, OpenAI, Anthropic, want to tap into that enthusiasm. And if I were their bankers back at Goldman Sachs, I might say, you know, you want to tap in when the mood is there, but you just talked about private credit earlier and there's deep valuation questions and concerns in private credit and private equity in part because if AI is disruptive, it's going to probably destroy some value. And here these three big companies still have to figure out a revenue model.
Romaine Bostick 3:48 ↗
Yeah, and look, I mean, we've had numerous IPOs over the years in the US where companies have come to market with maybe not a fully articulated long-term business model and that hasn't stopped them and some companies that have gone on to great things. I think about Amazon, Meta, a lot of questions surrounded those companies when they came public and they've proven themselves over time. When you look at the AI boom or at least the interest in it right now, do you look at the technology itself? Just set aside the money for a second. The technology itself as being really transformative of our society, economy, whatever.
Gary Gensler 4:19 ↗
I mean, MIT...
Romaine Bostick 4:20 ↗
Yes.
Do you teach a class on AI and money?

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Cite this transcript

APA, MLA, BibTeX
APA

Gensler, G. (2026, June 3). Gary Gensler Talks Securities Outlook | Bloomberg Talks [Interview transcript]. Bloomberg Podcasts. CEOInterviews.AI. https://ceointerviews.ai/interview/960392/

MLA

Gary Gensler. "Gary Gensler Talks Securities Outlook | Bloomberg Talks." Bloomberg Podcasts, 3 Jun. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/960392/.

BibTeX 
@misc{gensler2026_960392,
  author       = {Gary Gensler},
  title        = {Gary Gensler Talks Securities Outlook | Bloomberg Talks},
  howpublished = {Interview transcript, Bloomberg Podcasts. CEOInterviews.AI},
  year         = {2026},
  month        = {jun},
  url          = {https://ceointerviews.ai/interview/960392/},
  note         = {Speaker-attributed transcript with timestamps}
}