Run the Numbers

Too Big to Fail: The OpenAI Edition | Mostly Growth

Nov 15, 2025
Explore the shift from being technically right to being useful in professional landscapes. Hear insights on the impact of communication and empathy as careers progress. Discover CJ's tactics for climbing the corporate ladder by making others shine, alongside Kyle's journey into becoming a domain expert through public writing. The hosts discuss OpenAI's perceived 'too big to fail' status, dissecting its economic implications. Plus, intriguing data on the age at which founders achieve peak success and amusing tales about home maintenance mishaps.
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ADVICE

Link Sales Decisions To Enterprise Value

  • Teach sales leaders to map hiring and commission decisions to enterprise value and valuation math.
  • Measure deals by the long-term EV they add, not only by short-term quota attainment.
INSIGHT

Commission Design Can Hide Economic Risk

  • Sales leaders who ignore the P&L impact of spiffs and commission blends sabotage company economics.
  • Hitting quotas can mask these long-term cost problems until they're crippling.
INSIGHT

Too Big To Fail Is A Risky Claim For Private Firms

  • OpenAI's claim of being "too big to fail" exposed the tension between private risk and macroeconomic exposure.
  • Massive infrastructure commitments create systemic ripple effects, but they don't automatically justify public backstops.
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