It's A New World Order For Markets | Cameron Dawson
Cameron Dawson highlights how higher rates and rising capital costs could expose vulnerabilities in technology financing, frontier-lab fundraising, and lower-quality borrowers, even as financial conditions remain easy and markets function. AI-related investment is supporting earnings and semiconductor growth, but concentrated backlogs, cancelable orders, and potential margin compression create risks beneath the surface. She also points to valuation pressure, Treasury supply, and the possibility of a persistently higher cost of capital, while noting that bonds now offer more diversification than they did when yields were below 1%.
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Cameron Dawson says the AI buildout creates financing exposure as well as growth: frontier labs such as OpenAI and Anthropic need continued fundraising while costs rise as fast as revenue, and she says 40% of Microsoft's backlog comes from OpenAI. She also notes that Meta's off-balance-sheet leases are sensitive to a higher cost of capital and warns that unfilled AI infrastructure orders could have cascading effects.
Dawson says hyperscaler capex expectations for 2026 climbed from under 30% growth to nearly 100%, supporting semiconductor companies; she expects semiconductor earnings to grow over 100% this year, with margins expanding from 30% to 46%. She explains that semiconductor revenues are recognized while hyperscalers capitalize associated investment costs, and cites consensus expectations of 130% semiconductor earnings growth in 3Q as a contributor to 35% overall 2026 earnings growth.
Dawson says strong earnings have helped the market absorb consumer, rate, and oil-price headwinds: 2027 earnings estimates are up 17% year to date, with projected earnings of $420 per share a key benchmark. But she notes that consensus growth is expected to slow from about 35% in 2026 to about 15% in 2027, while the S&P 500's valuation has already fallen from 23 times to 19 times as the 10-year yield rose above 5%; slower growth could leave less room for further multiple compression.
Dawson describes a shift toward a hawkish Fed, with a rate hike already occurring and more expected, and says higher capital costs are exposing cracks among lower-quality borrowers. At the same time, she says financial conditions were as easy as in 2021 and capital markets remained open; triple-C spreads are above 10%, while high-yield spreads at about 346 basis points have risen from their lows but do not yet indicate the acute stress seen in past distress periods.
TECHNOLOGY
“Are they immune to interest rates? And I would argue that the answer is most certainly not. They are not immune. They just have less immediate sensitivity…”—
“That's certainly something that Meta has done a lot of with all of these leases that they've kept off the balance sheet…”—
“Their costs are growing as fast as their as their revenues…”—
ECONOMY
“You've had shifts from expectations of a dovish Fed to start the year now to a hawkish Fed. We've already had a hike. It's expected we get more hikes…”—
“We have to take a moment and appreciate that right now in this very moment with interest rates at these levels financial conditions in aggregate the Bloomberg financial conditions index…”—
MARKETS
“Look at this quarter for 3Q. You have semiconductors that are going to grow earnings by 130% is the consensus expectation…”—
“If we think about from a year ago in October that was the low in the 10-year yield at just sub 4% and now we're sitting above five don't know…”—
“So we're certainly seeing it in things like triple C credit spreads that are now over 10%. That's not the all-in yield…”—
FORECASTS
“And the hardest part about all of this is that the stocks are going to peak before the fundamentals and there's going to be a period of cognitive dissonance where…”—
“Short-term the yields are overbought and you can see that in the 10 year, the 30-year, 2-year even…”—
– Key themes and drivers for 2027
– Why the S&P 500 has stayed so resilient despite higher rates
– Mag7 concentration masking broader market weakness
– Earnings concentration: semiconductors expected to grow ~130%
– Earnings growth expected to slow from ~35% to ~15% in 2027
– Higher yields have already compressed valuations (23x → 19x)
– Sled-dog analogy: market strength depends on the AI “mastiff”
– Higher rates as the “cheetah” – who gets caught first
– Cracks appearing in credit (Triple-C and high-yield spreads)
– Are the big tech names immune to higher cost of capital?
– Frontier labs, cash burn, and dependence on capital markets
– Financial conditions still as easy as 2021
– What is keeping conditions easy + default 2027 outlook
– Investment boom: revenues recognized, costs capitalized
– Will the market care about the earnings growth slowdown?
– How much of earnings growth is AI capex vs. real AI productivity?
– Semiconductor margin expansion and cyclical risks (especially memory)
– Why Micron’s gross margin is a key number to watch
– Threat of cheaper/open-source models to frontier-lab revenue
– Microsoft’s backlog heavily tied to OpenAI
– AI cycle: near-term payoff or dot-com-style overbuild?
– Stocks peak before fundamentals – watching early cracks (Cosby)
– Still respecting the AI trend; not ready to bet against it yet
– Bond yield outlook for 2027
– The 40-year downtrend in yields is over
– Will higher yields pull capital from equities into bonds?
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