FEATURE: SKILLS GAP
Enterprises are racing to deploy GenAI, yet measurable returns remain out of reach. K2view CTO Yuval Perlov explores how to move from pilots to practical, scalable success.
When GenAI first burst onto the scene, there was widespread talk of it transforming everything from our daily work to entire industries. Yet for many organisations, most initiatives are still stuck in pilot mode and the anticipated ROI is proving elusive.
What’ s driving enterprise AI spending? If you believe the results of IBM’ s recent CEO Survey, then it’ s the fear of missing out, with about two-thirds of respondents saying they’ re adopting AI before fully understanding what they’ re going to do with it, and 50 % of them reporting that rapid investment has resulted in disconnected technology within their organisation. This makes it less surprising to see that only about half of respondents are seeing a clear path to ROI.
Enterprises were quick to jump on the generative AI bandwagon, and they might be even faster to adopt AI agents. According to a recent PagerDuty report, more than 60 % of decision-makers expect agents will yield more than a 100 % ROI, with the average anticipated return landing around 171 % of their investment. USbased companies are even more optimistic, putting that number closer to 192 %. Nearly 45 % of leaders expect agentic AI to have a greater impact than generative AI. More than nine in ten of those surveyed believe they will adopt agents at a faster rate than they did generative AI.
Roadblocks to ROI
According to the IBM survey mentioned above, most CEOs already recognise that data is an urgent priority: 68 % say integrated enterprise-wide data architecture is critical to enable cross-functional collaboration
Breaking the AI productivity paradox: Strategies for measurable ROI
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