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Technology
Source: TechCrunch

NEA's Tiffany Luck Says Enterprises Are Still Figuring Out AI ROI

Tiffany Luck of New Enterprise Associates (NEA) indicates that businesses are currently in the process of defining the return on investment (ROI) for their artificial intelligence (AI) implementations. This development follows an earlier trend in Silicon Valley where CEOs encouraged widespread AI usage, a practice dubbed "tokenmaxxing." However, this initial enthusiasm led to financial challenges for some companies. Uber reportedly depleted its annual AI budget within months, certain organizations opted to cut Claude AI licenses, and Meta subsequently discontinued its internal AI leaderboard, reflecting a re-evaluation of AI expenditures.

By Fainaron·Jun 17, 2026 (4 hours ago)·1 views
NEA's Tiffany Luck Says Enterprises Are Still Figuring Out AI ROI

Tiffany Luck, representing New Enterprise Associates (NEA), has stated that enterprises are still in the early stages of determining the return on investment (ROI) for their artificial intelligence initiatives.

This observation comes after a period earlier this year where "tokenmaxxing," a term referring to the maximal encouragement of AI usage by CEOs, was a prominent trend in Silicon Valley.

Following this initial surge in AI adoption, some companies began to face the financial implications. Uber, for example, reportedly exhausted its annual AI budget in a matter of months. Other organizations reduced licenses for AI tools like Claude in parts of their operations, and Meta ultimately eliminated its internal AI leaderboard. These instances highlight the ongoing challenges and adjustments companies are making as they seek to understand the practical and financial value of their AI investments.

According to TechCrunch, these events underscore a growing tension between the widespread adoption of AI technologies and the necessity for clear, quantifiable returns.

Source attribution: This article was AI-curated and rewritten by Fainaron from a piece originally published by TechCrunch. Read the original at TechCrunch →

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