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Dalton + MichaelDalton + Michael

Shockingly Good Predictions

Most people focus on predictions that were too optimistic. But some of the most interesting moments in tech are when reality completely blows past expectations. In this episode of Dalton + Michael, the two discuss times when an expectation was off in this way. Topics discussed include the investing outside of Silicon Valley, Sam Altman’s nuclear energy vision, Sam’s hiring advice, and the extent to which customers of a product care more about growth potential than cost savings. Dalton + Michael is brought to you by @Standard_Cap Dalton Caldwell on X: https://x.com/daltonc Michael Seibel on X: https://x.com/mwseibel

Dalton CaldwellhostMichael Seibelhost
Feb 15, 202620mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Startup lessons from surprisingly right bets on markets, talent, incumbents

  1. They revisit how underestimating the US as a venture-return engine was a correctable blind spot, while noting standout international successes like India’s Groww and Razorpay.
  2. They discuss Sam Altman’s early focus on nuclear power and the broader thesis that abundant electricity becomes a critical bottleneck, now echoed by AI’s energy demands.
  3. They argue that intelligence and ambition compound over time, making “smart people win” a more predictive framework than social status or early-life “coolness.”
  4. They emphasize that seemingly unassailable incumbents can rot from within and collapse quickly, so startups should look for hidden fragility rather than assume permanence.
  5. They explain why revenue generation is rewarded more than cost-cutting—by customers and public markets—making “save five engineers” pitches far weaker than founders expect.

IDEAS WORTH REMEMBERING

5 ideas

The US market is structurally easier for outsized venture outcomes.

Seibel admits he dismissed a data-backed claim that ~97% of venture returns come from the US; the takeaway is not “ignore international,” but to price in the US’s unusually large, liquid, and repeatable scaling environment.

Naivety can be an edge when “smart money” has blinders.

They suggest YC backed Indian decacorns partly because they weren’t “sophisticated enough” to avoid them; founders/investors can benefit from questioning inherited rules about what’s fundable.

Energy abundance is a durable, cross-cycle macro thesis.

Altman’s 2013 pivot toward nuclear is reframed as seeing the real limiting input—electricity—years before AI made the constraint obvious; founders can look for similarly foundational bottlenecks.

Talent attraction is a core company-building mechanic, not fluff.

Beyond product/market/pricing checklists, Seibel stresses that an exciting mission recruits exceptional people and capital; ambitious narratives can make “impossible” projects feasible by concentrating top talent.

Assume incumbents are mortal and search for internal rot.

They cite Yahoo!/HP decline and Intel’s reversal vs Nvidia to argue that dominance can evaporate; startups should actively test whether incumbents are “green outside, red inside” rather than be intimidated by brand/valuation.

WORDS WORTH SAVING

5 quotes

Companies like Google could become completely irrelevant.

Dalton Caldwell

They have to keep winning.

Michael Seibel

There’s something beautiful about being naive.

Michael Seibel

It’s like being mad about the weather.

Dalton Caldwell

If you can’t attract the smartest people, you can’t even make the possible happen.

Michael Seibel

US vs international venture returnsNaivety as an investing advantageNuclear power and energy as an AI constraintIntelligence/ambition compounding over timeIncumbent decay and competitive vulnerabilityHype cycles as a recurring market weather patternRevenue generation vs cost-cutting in B2B buying

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