Oct 24, 2026 · 1h 9m
AI’s real buildout still faces a dangerous funding test
Baird's Tech Strategist Says This Isn't 2000. So Why Is He Warning Against Buying the Dip?
The episode separates genuine AI infrastructure demand from the financial, political, and valuation risks that could derail technology investors.
- 1AI has stronger infrastructure and enterprise foundations than the dot-com boom, but its cycle may still be vulnerable to excess.
- 2Regulation, geopolitics, financing constraints, IPO supply, and circular funding could turn enthusiasm into a market-wide stress point.
- 3Nvidia and Meta appear better positioned for the transition, while Apple faces hardware exposure and rising memory costs.
Don't miss
Mortonson connects his Navy deployment experience to the discipline of making consequential investment decisions with incomplete information.
The brief
Baird technology strategist Ted Mortonson sees a genuine AI infrastructure cycle, supported by enterprise adoption and powerful advances—but warns that political and geopolitical risks could slow it.
His comparison with the dot-com era is deliberately uneven: today’s demand is more tangible, yet investors may be repeating old mistakes by ignoring fundamentals and cycle history.
The central risk is not simply lofty valuations. Regulation, data-center opposition, financing needs, mega-IPO supply, and circular funding could expose leverage beneath the boom.
Mortonson weighs potential winners and losers, from Nvidia and Meta to Apple, Tesla, and SpaceX, while asking which businesses can generate durable cash flow.
The conversation closes with Mortonson’s Navy experience, where decisions under imperfect information shaped his approach to responsibility, uncertainty, and investment judgment.
What was said on this episode
38 statements · 17 positive · 17 negative · 4 neutral
Markets will rise sharply if the Russian and Iranian conflicts are resolved through compromise.
“if everybody compromises? Sure. And then the market rips.”
Listen at 7:13
Europe is three to four years behind in AI and is regulating without embracing it.
“Europe and AI, they're now three or four years behind us, and they want to regulate by not even embracing the technology”
Listen at 7:24
Investors should avoid buying declining technology stocks before selling pressure subsides.
“It's very hard to catch a falling knife until it hits the ground and stops spinning.”
Listen at 8:59
Investors should wait for major macro risks to develop before making portfolio decisions.
“you have to be patient and you have to let these three or four macros play out and see how bad they are”
Listen at 9:17
Buying the dip could be a damaging strategy for retail investors.
“That could be the worst strategy going forward on buying the dip. You know, quite frankly, they can get destroyed.”
Listen at 14:26
Investors should wait for key stocks to form bases before buying the market.
“you don't buy a market until some of these charts on your key names have based and get kind of the dead man chart where they just go sideways for a few weeks”
Listen at 14:55
Technology stocks may underperform during a stagflationary market.
“when we're moving into a market of hyperinflation, that tactic may not work if you get, for example, a stagflation trade”
Listen at 16:11
Stagflation can shift performance away from technology toward defense, healthcare, and energy.
“when you have a stagflation play, tech doesn't work. defense or health care or energy, there can be some brutal sector rotation”
Listen at 16:26
The AI infrastructure build-out will continue through 2030.
“This is going to definitely go through 2030 on the infrastructure build.”
Listen at 19:19
Companies that fail to embed AI will lag competitors in operating margins.
“if they're not embedding AI, they're not going to get to where their competition is going to get on operating margins of 30”
Listen at 19:45
Hyperscalers will face unusual taxes over time.
“We're going to see some very unique taxes against the hyperscalers over time.”
Listen at 21:08
About 70% of Global 2000 companies have not upgraded their AI infrastructure.
“roughly 70% of the Global 2000, that's all the major companies worldwide, are behind here. They haven't upgraded their infrastructure.”
Listen at 22:45
Fortune 500 companies will broadly adopt AI from 2028 onward.
“I think 28 and beyond, the Fortune 500 is going to embrace this technology.”
Listen at 24:00
The AI investment cycle will favor large-cap companies over small caps.
“This is going to be a large cap cycle. This takes an immense amount of free cash flow. It's not going to be a small cap cycle.”
Listen at 24:13
Companies with substantial free cash flow will benefit most from AI investment.
“The real beneficiaries are the companies with free cash flow.”
Listen at 26:01
Large companies with cash flow and engineering talent will be clear AI winners.
“Those companies that have the scale, the free cash flow, the engineers are the clear winners.”
Listen at 26:24
SpaceX will become a fifth hyperscaler and a monopoly after integrating Tesla.
“SpaceX after they integrate Tesla. They're going to be the fifth, I would say, hyperscaler. That is going to be a monopoly.”
Listen at 26:50
Small-cap technology companies will face substantial acquisition activity.
“I think you're going to see a pretty massive M&A cycle on taking really point solutions on the small cap side”
Listen at 29:14
Application software will experience substantial M&A over the next 24 months.
“I think it's going to be on application software where you see a lot of M&A. in the next, call it, 24 months.”
Listen at 29:30
Political regulation of AI would produce many mistakes.
“If they get involved on regulating this, boy, are we going to have a lot of mistakes.”
Listen at 30:09
AI compute providers will have substantial pricing power once infrastructure is built.
“there is huge pricing leverage on compute.”
Listen at 32:49
Leading AI infrastructure companies can supply only 70% of contracted demand.
“Most of the names that I'm familiar with that are the winners can only supply 70% of contracted demand. 30% is going into backlog.”
Listen at 33:02
Most of the population could benefit substantially from superintelligence adoption.
“there's a scenario where they could benefit massively from the adoption of superintelligence.”
Listen at 37:02
A wave of major IPOs could force portfolio managers to sell existing holdings.
“if they all come at the same time or in the same time frame, let's say in a quarter or two, they're generally going to have to sell something they love”
Listen at 38:12
Major technology IPO allocations will likely concentrate among 20 to 30 funds.
“these are going to be very concentrated with allocations probably to 20, 30 funds, and the rest are going to get scraps.”
Listen at 41:43
Off-balance-sheet financing in AI infrastructure is troubling.
“The off-balance manipulation is troublesome.”
Listen at 43:52
Tesla and SpaceX will eventually generate substantial free cash flow and justify their valuation.
“At some point, he's going to turn massively free cash flow. And then the company will grow into the valuation.”
Listen at 46:51
Combining SpaceX and Tesla would create substantially greater value than separately.
“I think when you combine SpaceX and Tesla, one plus one equals four.”
Listen at 47:00
SpaceX can reduce turbine-component backlogs from three years to months.
“We can now produce all of these turbine blades and vanes for all the turbine companies and reduce the backlog from three years to months.”
Listen at 48:21
Apple has not created open-source models or invested in AI infrastructure for a decade.
“If you're not creating your own open source models, which I don't think they are, they have not spent on infrastructure for a decade”
Listen at 50:47
Apple must become known for AI rather than remain an AI laggard.
“they've got to be known for AI, not an AI laggard.”
Listen at 52:18
Meta's personal assistant could bypass Expedia and connect users directly with Marriott.
“They're going to bypass Expedia. They're going to bypass. I mean, they're going to go right to Marriott, and they're going to get a better price.”
Listen at 55:04
Competition among cloud titans generally drives prices sharply lower.
“whenever you have the big cloud titans fighting with each other on share, generally price elasticity goes straight to the floor to gain share.”
Listen at 55:50
Starlink is likely to disrupt telecommunications substantially.
“I think that is incredibly disruptive.”
Listen at 58:01
Starlink and SpaceX technologies pose a competitive threat to AT&T and Verizon.
“if I was AT&T and Verizon, I would think, oh, boy, you better start looking under your shoulder.”
Listen at 58:10
Tesla could launch a powerful secure phone integrated with Starlink.
“Tesla could roll out an integrated, secure phone using Starlink, which would be very powerful.”
Listen at 58:21
Gate-all-around backside-power chips provide 30% higher performance with lower power use.
“the reason why is performance is 30% higher and power is significantly less.”
Listen at 1:00:09
Investors should buy six companies spanning advanced memory and storage technologies.
“I think you just buy all six and let your chips run for the next decade.”
Listen at 1:01:20
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.
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