AI Investments Failing: Human Factor Key

0:00Reporting from The Daily News Now, I'm Corey with the latest in Durham, the global push for artificial intelligence is speeding up. With NVIDIA now among the world's most valuable companies, thanks to huge demand for it. Chips. Experts predict worldwide AI spending will reach $2.5 trillion by 2026. Wall Street sees it as the top investment trend this decade. But a major MIT study reveals a harsh truth. Fifty-five percent of companies have seen zero return on their AI investments, even after pouring 30, to $40 billion into enterprise projects. The tools and models work fine, but the real roadblock is human. Executives often treat AI like a simple software update, buy it, install it, train staff and call it done. That fails at scale because people and culture don't shift. Experts say AI gets adopted by workers, not machines. That budgets focus on tech, while ignoring how teams actually change their daily routines.

1:01Employees tend to use AI for small tasks, like a smarter search tool, leaving big decisions and workflows untouched. Old management structures and incentives, built before AI, give little reason to adapt. Sales teams ignore AI forecasts if pace stays tied to outdated quotas. So transformation stalls, despite the tech being ready. Companies winning with AI aren't always the ones with the fanciest models. They overhaul incentives, mindsets, and leadership accountability to drive real use. Meanwhile, a hidden issue pops up. Billing systems designed for steady subscriptions can't handle AI's unpredictable usage, like tokens or API calls. This leads to revenue leaks, with farms losing hundreds of thousands of dollars yearly from poor tracking. The edge goes to organizations that quickly realign people and systems around AI. Not just the poet. History shows tech access alone doesn't win. It's how fast to integrate it into real work. Skipping culture and smart monetization means AI sits idle or money slips away.

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