"Many businesses have had to learn in recent years that adopting AI to automate certain organizational tasks or employees' day-to-day workflows won't necessarily translate to financial gain. The technology may make workers more productive in some respects, but it also presents a whole host of risks -- some of them involving cybersecurity, some of them legal, some of them psychological. In some cases, AI actually creates more work for supervisors."
"There's now a growing pile of evidence that most businesses -- almost all of them, in fact -- have been struggling to achieve meaningful ROI through their internal AI efforts. Most infamously, a MIT study published in August found that 95% of businesses' AI initiatives have essentially gone nowhere, while a recent study from Atlassian showed that even more (96%) "have not seen dramatic improvements in organ"
Cisco's third annual AI Ready Index surveyed more than 8,000 business leaders across twenty-six countries to identify factors behind early AI success and stagnation. Most businesses struggle to convert AI adoption into financial gain, with studies finding roughly 95–96% of initiatives failing to yield significant ROI. AI can boost productivity but also introduces cybersecurity, legal, and psychological risks and can increase supervisory workload. Successful 'pacesetter' organizations emphasize long-term stability, build trust in AI systems, and treat AI as an operating-system-level capability integrated into core processes and governance. Adopters often automate tasks or workflows without sufficient governance or clear ROI measurement.
Read at ZDNET
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