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95% of business applications of AI have failed. Here's why

Here's what the other 5% is getting right.

It paints a stark contrast between promises and reality: while tech developers are selling AI tools like agents as productivity boosters, NANDA's new report indicates that for all but a vanishingly small minority, the technology is having little to no effect on businesses' bottom lines. Generative AI tools can provide efficiency gains in the hands of competent individuals, but when business leaders attempt to integrate them into existing, company-wide operations and workflows, they tend to throw a wrench into the organizational machinery. The main reason for this, according to the report, is that the generative AI systems that most businesses are attempting to deploy internally and at scale lack the ability to seamlessly adapt with existing organizational workflows, ultimately making them more of a hindrance than an accelerant.

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