NEA's Tiffany Luck on AI IPOs, Personal Agents, and the ROI Reckoning
Original: NEA’s Tiffany Luck on AI IPOs, personal agents, and the ROI reckoning
NEA investor Tiffany Luck examines why enterprise AI enthusiasm is colliding with hard budget realities and what comes next.
A wave of aggressive enterprise AI adoption — dubbed 'tokenmaxxing' — has given way to a painful cost reckoning, with Uber burning through its annual AI budget in months and companies rolling back Claude licenses. NEA partner Tiffany Luck dissects these dynamics in a wide-ranging TechCrunch podcast conversation. The discussion spans the coming wave of AI IPOs, the rise of personal agents, and whether organizations can demonstrate genuine ROI from their AI investments.
Earlier in 2026, Silicon Valley embraced a strategy informally called 'tokenmaxxing' — CEOs and executives pushed employees to use AI tools as aggressively as possible, treating maximum consumption as a proxy for competitive advantage. The underlying bet was that broad, deep AI usage would compound into productivity gains that justified the spend. That bet is now being stress-tested.
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