Bloomberg Tech — "OpenAI Becomes World’s Largest Startup"
Episode Date: October 2, 2025
Host: Bloomberg Tech Team (Caroline Hyde in New York, Ed Ludlow in San Francisco)
Key Guests: Shireen Ghafari (Bloomberg Reporter), Nancy Tengler (CEO/CIO, Tengler Investments), Craig Trudell (Automotive Reporter), Stephanie Valdez-Street (Cox Automotive), Brody Ford (Bloomberg Reporter), Brian Kirschman (Portfolio Manager, GQG Partners), Anurag Rana (Bloomberg Intelligence), Lucas Shaw (Bloomberg — Screen Time)
Episode Overview
This episode dives deep into OpenAI’s milestone share sale, elevating its valuation to $500 billion — making it the world's largest startup, surpassing even SpaceX. The discussion explores the implications for tech investment, market optimism and underlying business fundamentals. The episode also analyzes Tesla’s record Q3 deliveries, the impact of U.S. EV incentives, Microsoft’s $33 billion push to address AI datacenter shortages via "Neo Clouds," and the sustainability of the AI and cloud hype cycle. Commentary from expert reporters and industry analysts enriches this comprehensive technology market review.
Key Topics & Insights
1. OpenAI’s $500 Billion Valuation and Market Impact
[04:10 – 15:30]
- Milestone Share Sale:
OpenAI’s latest employee share sale values the company at $500B—an unprecedented figure for a private startup. - Employee Shareholders Hold Tight:
Many employees chose not to sell all eligible shares, suggesting strong optimism about OpenAI’s future potential. - Investor List:
Noteworthy investors in the round include Thrive Capital, SoftBank, Abu Dhabi’s MGX, Dragoneer, and T. Rowe Price.
“MGX is an interesting one given we’re seeing more money coming in from overseas, from the Middle East and to AI companies.”
—Shireen Ghafari, [06:15] - Comparison with SpaceX & Xi:
OpenAI now outpaces SpaceX ($400B) and Xi ($200B) in valuation. - Unprofitable, Rapid Growth:
OpenAI’s revenues are soaring (700 million users), but its high AI development costs mean it remains unprofitable, resembling Netflix by valuation but not business fundamentals.
“The company remains unprofitable... huge data compute costs... unprecedented data centers.”
—Shireen Ghafari, [08:00] - AI Optimism Drives Broader Markets:
The OpenAI valuation is seen as a bellwether for the entire AI sector’s upward momentum, helping buoy public tech stock sentiment.
2. Investing in Private Tech: Valuations, Risks, and Parallels to the Dot-Com Era
[15:50 – 24:10]
- Access to Private Markets:
Nancy Tengler of Tengler Investments discusses the difficulty for average investors to access headline-grabbing growth in private AI (OpenAI, SpaceX, Xi). - Valuation Cycle Reflection:
Tengler draws parallels between today’s AI valuations and the 1990s dot-com era, with current technology being “more robust than just eyeballs on a screen” but acknowledging a hype component.
“The technologies we are seeing now are much more robust than just eyeballs on a screen, which was what we were measuring in the ‘90s.”
—Nancy Tengler, [19:50] - Seeking Substance in Fundamentals:
Despite high valuations, she stresses the importance of strong management, real catalysts, and maintaining discipline, referencing Amazon’s long path to profitability.
3. Tesla’s Q3 Global Sales Surge and the Tax Credit Cliff
[24:15 – 42:15]
- Record Deliveries:
Tesla delivered 497,099 EVs in Q3—far above expectations and reversing previous slumps.
“An astonishing turnaround—a huge beat against consensus.”
—Host, [01:35] - Role of Federal Tax Credit:
The expiration of a $7,500 U.S. tax credit drove urgent purchases, explaining much of the surge.
“I do think it’s a principal factor... everyone else is, in FSD. They seem to be seeing really robust improvements.”
—Nancy Tengler, [27:05] - Geographic Sales Dynamics:
U.S. showed strong growth; Europe remained sluggish (impacted by Tesla/Musk’s reputation), while China was flat amid fierce competition from BYD and local players.
“By process of elimination, we really can sort of come to this conclusion that the U.S. is really what drove this result for Tesla.”
—Craig Trudell, [39:30] - Q4 Outlook:
Analysts expect Q4 to see slowed sales as the incentive effect dissipates, leveling out demand. - Growth Beyond Vehicles:
Tesla’s energy business (storage, AI/robotaxis, Optimus) seen as critical growth drivers.
4. Microsoft and the ‘Neo Cloud’ AI Compute Landgrab
[51:30 – 59:50]
- $33 Billion in 3rd-Party AI Cloud:
Microsoft’s $33B+ spend with "Neo Cloud" providers (CoreWeave, N Scale, Nebius) reflects a scramble for AI compute resources as Azure’s own capacity is maxed out. - Strategic Rationale:
“Neo Cloud” outsourcing offers flexibility and avoids large capex hits; aids Microsoft’s own AI model development—especially after the Inflection AI acquisition. - Industry Signal:
This signals how cloud infrastructure spend is ballooning while AI model costs rise, with major hyperscalers and startups in a high-stakes race for capacity.
“Microsoft needs to get as many chips online as it can, both for its customers itself and OpenAI...”
—Brody Ford, [56:17]
5. Skepticism on AI Fundamentals and Monetization
[59:55 – 01:11:50]
- AI Monetization Headwinds:
Brian Kirschman (GQG Partners) offers a bearish take: ballooning capex far outpaces realized AI revenue. - Low Paying User Base:
Cites OpenAI’s “about 2% conversion rate” from 700M monthly users to paid plans—underscoring the monetization challenge. “98% of people that use OpenAI aren’t actually paying for it.”
—Brian Kirschman, [01:03:20] - Profitability and International Dynamics:
With so many users in lower-income markets, OpenAI’s pricing roadblock is stark.
“If I can get a 5G phone plan in India for less than $10 a month, do I really think folks will pay $20 a month for a subscription to OpenAI?”
—Brian Kirschman, [01:05:15] - Enterprise AI Utility Questions:
Kirschman highlights disappointing B2B AI project success rates (“only 15% even vaguely working, 5% working well”), echoing conversations with tech consultants and industry CEOs. - Cloud Infrastructure Margins under Pressure:
Oracle and others undercutting prices exacerbate the concern about the sustainability of current investment levels. - Commoditization and Debt Risks:
Obscure funding structures (SPVs, accounting maneuvers), increasing debt, and “late-cycle behavior” are cited as warning flags reminiscent of past tech bubbles.
6. Other Headlines & Market Roundup
[01:13:40 – End]
- DeepL Eyes US IPO:
European AI translation service reportedly preparing for a 2026 U.S. IPO. - Oracle Ransomware Attack:
Ransomware group claims major breach of Oracle’s business suite. - Elon Musk Settles Twitter Severance Lawsuit:
Musk and X agree to settle with former executives over $53M in severance. - Apple’s Vision Pro and Smart Glasses Focus Shift:
Apple pivots from VR/AR revamp to focus on smart specs to rival Meta’s Ray-Bans. “Just because it’s an Apple product, that doesn’t mean it’ll automatically win — Meta has a massive lead here.”
—Anurag Rana, [01:16:45] - Disney CEO Succession Updates:
Internal front-runners discussed, with board seeking to avoid past succession missteps.
Notable Quotes & Memorable Moments
-
“OpenAI’s revenue is growing fast... but still a highly capital-intensive and unprofitable business, even though the revenue is growing at a very fast rate.”
—Shireen Ghafari, [08:08] -
“You get these concentrations, you get higher than normal valuations. But that is not to say this cannot continue for some time.”
—Nancy Tengler, [20:40] -
“For retail investors, it’s an opportunity. For insiders, it provides liquidity. ... A team of analysts supports me because we focus on catalysts for outperformance and strong management teams.”
—Nancy Tengler, [22:00] -
“We can't see a true sort of trajectory of where the economics are coming through. That's what has us concerned right now and why you've gone underweight.”
—Brian Kirschman, [01:11:05]
Timestamps for Key Segments
- OpenAI Share Sale & Valuation: 04:10 – 15:30
- Private Tech Investment & Market Reflection: 15:50 – 24:10
- Tesla’s Q3 Results & EV Market Impact: 24:15 – 42:15
- Microsoft & Neo Cloud AI Capacity Strategy: 51:30 – 59:50
- AI Monetization & Sector Skepticism: 59:55 – 01:11:50
- Market News & Industry Headlines: 01:13:40 – End
Tone & Style Notes
The episode blends high-tempo market analysis with accessible data points, lively debate, and honest skepticism. Hosts and guests speak candidly—questioning hyper-optimism even as they marvel at technological progress. The tone is both energetic and pragmatic, offering a sober look at the hopes and hurdles facing tech giants and AI leaders alike.
For Further Listening
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