Enterprises Still Figuring Out AI ROI, Says NEA

After a period of excessive AI enthusiasm in Silicon Valley, companies are now confronting the high costs. According to a report from TechCrunch, enterprises are still trying to understand how to achieve a return on investment (ROI) from AI technologies.

Details

Earlier this year, "Tokenmaxxing" was the hottest trend in Silicon Valley, with CEOs encouraging employees to push AI usage as far as it would go. But then the bill came due.

According to the report, Uber (UBER) reportedly blew through its annual AI budget in a few months. Some companies cut Claude licenses for parts of their organization. Meta (META) killed its internal leaderboard that tracked AI usage.

Context

This tension between heavy AI spending and the need to show tangible results reflects a broader challenge for the tech sector. Companies that have invested heavily in generative AI are now looking for ways to measure the return on that investment.

What This Means for Investors

For investors, this report suggests that the "spend first, ask questions later" phase may be over. Companies that demonstrate an ability to generate ROI from AI may outperform their peers. Conversely, companies that fail to do so may face pressure to cut costs.