"It's no secret by now that many businesses are struggling to achieve tangible ROI from their AI initiatives. A recent study from MIT, in fact, found that as many as 95% of enterprise use cases of the technology have been essentially completely fruitless. Also: 43% of workers say they've shared sensitive info with AI - including financial and client data Why the huge rate of failure?"
"According to a new study conducted by data analytics company SAS and the International Data Corporation (IDC), one of the causal factors is a widespread lack of trust among businesses in the very AI tools they're deploying internally. This, coupled with the intrinsic untrustworthiness of the systems themselves, is the primary barrier preventing ROI, according to the study. Why it matters At first glance, that might seem obvious:"
Many businesses struggle to achieve tangible ROI from AI initiatives, with reports indicating up to 95% of enterprise use cases producing little value. A widespread lack of trust in internally deployed AI tools, combined with the intrinsic unreliability of some systems, constitutes a primary barrier to ROI. Despite limited trust, adoption is high: about 65% of organizations currently use AI and 32% plan to begin within a year. Workforce behavior includes sharing sensitive information with AI. Governance, skills, and data infrastructure shape organizational trust and influence the depth of AI integration and return on investment.
Read at ZDNET
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