Enterprises Grapple with AI Returns as Investors Highlight Measurement Gaps

Tech investors are noting that many companies still struggle to calculate clear returns from their artificial intelligence investments.

Tiffany Luck, a partner at the venture firm NEA, shared this view during a recent podcast discussion on the topic.

AI Spending Pressures Mount for Businesses

Companies have rushed into AI tools amid high expectations, leading to unexpected costs in some cases.

Examples include firms exceeding annual budgets quickly and others scaling back licenses for popular models.

This pattern shows enterprises entering a phase where proof of value becomes essential for continued spending.

Future Focus Shifts to Personal AI Agents

Luck brings experience from early e-commerce pushes and now sees strong potential in consumer-facing AI features.

Startups are emerging to help larger organizations better track and prove the impact of their AI projects.

Personal agents could create convenient experiences that feel almost magical for everyday users.

Upcoming AI company public offerings may test whether the market rewards measurable progress over hype.

For regular people, clearer AI value means better tools at work and home without wasted resources.

Overall, this stage points to more practical AI use across industries in the years ahead.