{"id":282997,"date":"2026-06-27T12:28:00","date_gmt":"2026-06-27T16:28:00","guid":{"rendered":"https:\/\/news-you-need.com\/index.php\/2026\/06\/27\/digging-out-from-the-ai-money-pit\/"},"modified":"2026-06-27T15:00:14","modified_gmt":"2026-06-27T19:00:14","slug":"digging-out-from-the-ai-money-pit","status":"publish","type":"post","link":"https:\/\/news-you-need.com\/index.php\/2026\/06\/27\/digging-out-from-the-ai-money-pit\/","title":{"rendered":"Digging Out From The AI Money Pit"},"content":{"rendered":"

Digging Out From The AI Money Pit<\/a><\/p>\n

https:\/\/www.forbes.com\/sites\/joemckendrick\/2026\/06\/27\/digging-out-from-the-ai-money-pit\/<\/a><\/p>\n

Publish Date: 2026-06-27 12:28:00<\/a><\/p>\n

Source Domain: www.forbes.com<\/a><\/p>\n

Show me the money, AI<\/span><\/p>\n

getty<\/p>\n

Yes, artificial intelligence is a huge business.<\/p>\n

Worldwide spending on AI is forecast to total $2.59 trillion this year, a 47% increase year-over-year, according to recent estimates from Gartner. Much of it has been by vendors and hyperscalers, but enterprises are gearing up their budgets for AI as well. Gartner expects AI spending to increase 35% by next year, reaching an astounding $3.5 trillion. <\/p>\n

The question becomes: is it, or will it soon be, delivering at least $3 trillion in value? So far, all this AI investment is not meeting its promise, at least at this time, a recent survey of 951 companies out of Bain and Company suggests.<\/p>\n

Nearly 40% of companies that measured AI cost savings landed below 10% savings, despite their initial targets of gains of at least 11% to 20%, the consultancy finds in its research. Still, yet 90% are ramping up their budgets again, this time to build and deploy agents \u201cthat will operate with even greater autonomy, complexity, and consequence.\u201d<\/p>\n

It\u2019s an annual ritual to see boards expand their automation budgets, the study\u2019s authors, Michael Heric, Purna Doddapaneni, and Antoine Debarre, all with Bain, point out. \u201cEvery year, CEOs sign off on the next wave\u2014robotic process automation, then machine learning, then generative AI, now agents. And every year, the savings fall short.\u201d<\/p>\n

This falling short isn\u2019t enough to trigger alarms, they add. The gap is \u201cnot enough to kill the programs, but consistently, quietly, and by a margin that should be making executives uncomfortable.\u201d <\/p>\n

But hey, it\u2019s AI, right? \u201cThe technology worked. The value didn\u2019t arrive,\u201d they write. <\/p>\n

What\u2019s at issue? Heric and his co-authors point out the following roadblocks to AI value:<\/p>\n