← AI companies

What podcasts say about AI companies

Every statement, with the speaker, the exact quote and the moment it was said.

What experts have said about AI companies

289 statements · 105 positive · 135 negative · 16 mixed · 33 neutral

  1. John ChambersPositiveNov 11, 2026· CNBC's "Fast Money"

    AI companies are achieving roughly fivefold gains in speed and output.

    “Five times the speed, five times the output.”

    Listen at 17:59

    Open the episode · Nvidia Shares Sink on New Allegations Against CEO Jensen Huang
  2. Ed ElsonNegativeNov 11, 2026· Better Offline

    Falling investor sentiment could bankrupt AI companies or force major restructuring.

    “if it starts to go out of tune, then yeah, these companies genuinely go out of business. Or they have to massively restructure their business models.”

    Listen at 28:12

    Open the episode · JensenGate and Anthropic's IPO w/ Ed Elson
  3. AI companies depend on continued market gains to sustain earnings and shareholder confidence.

    “they need those gains to keep. coming through so they can keep their earnings going and keep shareholders happy.”

    Listen at 54:12

    Open the episode · Stephanie Pomboy: "Buckle Up" For 2027 - The Market Is Going To Be "Brutal"
  4. Robert HagstromPositiveNov 11, 2026· Excess Returns

    Some AI companies will perform extremely well over three to five years.

    “there'll be a few that will do extremely, extremely well over the next three, five years”

    Listen at 56:56

    Open the episode · Tech Is the Cheapest Since 2022. Walmart Is 46 Times Earnings. Where Is the Bubble?
  5. Robert HagstromPositiveNov 11, 2026· Excess Returns

    AI companies must demonstrate sustainable profitability and economic returns.

    “they're going to have to start to let people know this is sustainable, this is good, people are making profits from it, it's got economic returns”

    Listen at 1:00:27

    Open the episode · Tech Is the Cheapest Since 2022. Walmart Is 46 Times Earnings. Where Is the Bubble?
  6. AI-run companies should begin with narrow, clearly prescribed functions.

    “I think we need to tread very carefully with those, do very small functional, very clear, very well-prescribed areas, and then slowly broaden it out”

    Listen at 1:41:42

    Open the episode · Can Jensen Huang remain CEO? Inside NVIDIA’s next steps| MOONSHOTS #310
  7. Raoul PalPositiveNov 10, 2026· The Julia La Roche Show

    Major AI stack companies earn 30%–65% profit margins

    “everybody's making supernormal profits. Everyone's making between 30% and 65% profit margins.”

    Listen at 17:26

    Open the episode · #431 Raoul Pal: The Economy We Know Ends by 2030 — and Why We’ll Never See a Big Recession Again
  8. AI companies seek regulation to create protective moats because costs are unsustainable.

    “you get regulation to try to create a moat around your business because you can't pay for it.”

    Listen at 52:40

    Open the episode · Jeff Booth: Can Bitcoin Still Deliver on Its Promise?
  9. John CooganNegativeNov 9, 2026· TBPN

    NVIDIA's support for AI companies would change without Jensen Huang.

    “I think that without him in that seat, I think that changes.”

    Listen at 24:02

    Open the episode · Jensen Secures Top Spot on Naughty List, Rockefeller Christmas Tree Delivered, Timeline in Turmoil | Jonathan Neman, Bryce Strauss, Adam Blake, Adarsh Kulkarni, Josh Payne
  10. AI companies currently lack durable competitive moats

    “There don't seem to be any moats around AI.”

    Listen at 34:10

    Open the episode · Big Short Investor Explains How the AI Bubble Could Burst
  11. AI companies and technology oligarchs are capturing economic growth.

    “The AI guys are the tech oligarchs are and so on.”

    Listen at 15:34

    Open the episode · Midterm Blood Bath, $4T AI Sell Off, Data Center Freeze, What's Next for Trump
  12. AI-related companies will continue investing despite changing market expectations.

    “I think these companies will continue to invest.”

    Listen at 1:28

    Open the episode · Nasdaq In Freefall: Is the AI Trade Ending?
  13. Ramtin NaimiPositiveNov 6, 2026· Invest Like the Best with Patrick O'Shaughnessy

    Margins at AI-related companies are improving rapidly.

    “But the cool thing that you are seeing is that these margins are improving at really rapid clips.”

    Listen at 6:13

    Open the episode · Ramtin Naimi on the State of Venture Investing - [Invest Like the Best, EP.499]
  14. AI enthusiasm will produce both winning and losing companies.

    “There will always be winners and losers.”

    Listen at 7:33

    Open the episode · Nasdaq In Freefall: Is the AI Trade Ending?
  15. Jason RobbinsPositiveNov 6, 2026· Bloomberg Tech

    Anthropic and similar AI companies could increase five- to tenfold from current values.

    “there's nothing that prevents these to be 5x 10x from here”

    Listen at 14:16

    Open the episode · AI Trade Bounces Back as Investors Buy the Dip
  16. Financial constraints may push AI companies toward greater compute efficiency.

    “maybe if they just can't spend whatever they want on data centers, maybe this is when they start to move towards figuring out ways that they don't need all of that compute powers to do that.”

    Listen at 33:05

    Open the episode · Nasdaq In Freefall: Is the AI Trade Ending?
  17. Dan NilesNegativeNov 5, 2026· Closing Bell

    Revenue growth at major AI companies is slowing sharply.

    “revenue growth is massively slowing down”

    Listen at 11:36

    Open the episode · Closing Bell Overtime: Tech Stocks Plunge Markets Search for A Bottom 11/5/26
  18. Frontier AI companies like Anthropic should be based in Palo Alto.

    “if you're building the next Anthropic, you should probably be based in Palo Alto.”

    Listen at 9:37

    Open the episode · E451: Peter Thiel's 27-Year Partner on the AI Bubble, the Venture Capital Crisis, and the PayPal Mafia
  19. Higher capital costs can push companies toward equity issuance and dilution.

    “Higher cost of capital. Actually, you know what? We're not going to issue more debt. We're actually going to do some dilution.”

    Listen at 51:28

    Open the episode · The AI Theme Isn’t Dead, Apple and Palantir Report, Alphabet’s Very Bad Day, HALO Is Back
  20. Many AI companies’ earnings do not justify their stock prices.

    “they're not earning anything like what... is necessary to support their stock prices”

    Listen at 56:00

    Open the episode · Growth Expectations Are Probably Too High | Andy Constan on Post-Midterms Macro View, Bond Supply Issue, and QRA (Quarterly Refunding Announcement)
  21. AI companies are collectively priced for success, although many will not succeed.

    “they're all priced to win and so when you add all those up every if everybody's priced to win and not all of them are gonna win”

    Listen at 56:10

    Open the episode · Growth Expectations Are Probably Too High | Andy Constan on Post-Midterms Macro View, Bond Supply Issue, and QRA (Quarterly Refunding Announcement)
  22. Selecting successful companies can generate large returns, but broad ownership is impossible.

    “if you can pick the winners, you can still make a fortune, but you can't own all of them”

    Listen at 56:45

    Open the episode · Growth Expectations Are Probably Too High | Andy Constan on Post-Midterms Macro View, Bond Supply Issue, and QRA (Quarterly Refunding Announcement)
  23. Natural AI pricing could reduce spending and invalidate current company valuations.

    “people don't value or can't afford to value the intelligence at that natural price enough to continue spending in the way that they have been, and thus it means that all the valuations of all these companies are off.”

    Listen at 8:38

    Open the episode · AI Lurches Toward Recursive Self-Improvement
  24. Higher financing costs are making funding difficult for marginal AI companies.

    “So you're seeing the cost of money go up tremendously, and the more marginal players are having a real tough time getting it.”

    Listen at 8:42

    Open the episode · Big Tech Selloff: Dan Niles on What Happens Next
  25. Joe QuinlanPositiveNov 3, 2026· Bloomberg Surveillance

    AI-related companies will perform well in 2027 and 2028.

    “these companies have done so well, and I believe they're going to do well in the 27 and 28.”

    Listen at 12:46

    Open the episode · Tech, Markets, and the Midterms
  26. Ian DunlapNeutralNov 3, 2026· Market Mondays

    Only about eight companies should be considered genuinely AI companies.

    “only eight companies should be framed what they are truly AI”

    Listen at 29:23

    Open the episode · Is the AI Bubble Bursting? Google’s Selloff & Midterm Election Madness With Roland Martin
  27. Ed YardeniNegativeNov 2, 2026· Bloomberg Surveillance

    AI customers may not generate sufficient revenue for AI companies.

    “it's not clear that customers are generating enough revenues for the companies themselves.”

    Listen at 2:51

    Open the episode · Bloomberg Surveillance TV: November 2, 2026
  28. Michael SantoliNegativeNov 2, 2026· Halftime Report

    AI companies now face constrained funding from funds and sovereign investors.

    “They used to be able to raise money whenever they wanted, whatever they wanted, at any valuation they wanted. And now we're seeing that, you know, some funds are saying and sovereign saying, you know, we're full. We're too full. We don't need any more.”

    Listen at 5:31

    Open the episode · New Month, Better Tech Trade? 11/2/26
  29. Brad NeumanPositiveNov 2, 2026· Closing Bell

    Current AI companies are financially stronger than dot-com-era builders

    “these companies are in much better financial shape than the companies that were building out the dot-com era”

    Listen at 8:22

    Open the episode · Closing Bell Overtime: Big Tech Faces Its Next Test 11/2/26
  30. AI companies may face failure-to-warn claims in future litigation

    “you can envision a world where that comes up down the road for these AI companies”

    Listen at 11:43

    Open the episode · Marvell to Acquire Lumentum in Historic $115 Billion Tech Deal

Statements are attributed to the speaker as said on the episode and reflect their view at the time, not PodLume's. They are not advice.