NEA's Tiffany Luck: Enterprises Are Still Figuring Out Their AI ROI
TechCrunch AI40 days agoBusinessAfter a wave of 'tokenmaxxing' — leadership-driven pushes to maximize AI tool usage — enterprises are confronting steep financial consequences. Uber reportedly burned through its annual AI budget in months, some companies cut Claude licenses, and Meta shuttered an internal AI usage leaderboard. NEA partner Tiffany Luck argues enterprises are now entering a more disciplined phase, moving from enthusiasm-driven deployment toward a harder search for measurable return on investment.
Amazon and Meta’s AI KPI Pitfall: When Token Burning Becomes a Disaster
INSIDE 硬塞 AI55 days agoCommentaryThis commentary uses Amazon and Meta as cautionary examples for enterprise AI adoption. Its core warning is that measuring success by token consumption, usage volume, or leaderboard-style activity can encourage “Tokenmaxxing” without proving real value. Companies should treat token metrics as operational signals, not business outcomes, and instead evaluate productivity, quality, cost, and workflow impact.