NEA's Tiffany Luck: Enterprises Still Can't Nail AI ROI
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- Uber reportedly blew through its annual AI budget in a few months as the "tokenmaxxing" trend — in which CEOs pushed employees to maximize AI usage — gave way to a cost reckoning.
- Meta killed its internal AI leaderboard and some companies cut Claude licenses for parts of their org, as aggressive AI adoption outpaced measurable returns.
- NEA partner Tiffany Luck joined TechCrunch's Equity podcast with host Rebecca Bellan to discuss why enterprises are still struggling to pin down AI ROI.
- Luck got her start convincing companies that e-commerce was the future and now focuses on AI's potential for "magic moments" in the consumer business.
- The episode covers the future of personal agents, Luck's take on this year's AI IPOs, and startups stepping in to help enterprises track return on AI spend.
Why it matters: After Uber burned through its annual AI budget in months and Meta killed its internal AI leaderboard, the era of unstructured AI experimentation is closing — NEA's Luck says startups stepping in to help enterprises track AI spend are filling a gap that CFOs can't close alone, turning ROI measurement itself into a venture-scale category.
