
Joe McKendrick, Senior Contributor
· 1 min read
We Keep Missing The Most Important Point About AI Adoption
Listen to enough vendor spiels, and one can be forgiven for thinking that plugging in the right artificial intelligence into their operations will deliver overnight miracles. However, all the measurements and metrics that seem to point to smashing AI potential keep missing a crucial point, and potentially an imposing roadblock: human acceptance of AI and its adaptation into workflows.
A perhaps fitting term one survey assigns to this factor is “AI-whelmed workers,” who understand AI is supposed to deliver tremendous benefits, but aren’t given guidance on how to do this. 42% are not confident integrating AI into their workflow. At least 44% say they do not have a clear path for where to start when building AI skills, and 60% say AI is either not expected at their job or has come up without well-defined expectations, the survey of 1,000 U.S.-employed workers by Resume Now finds.
A more rigorous academic analysis dove even deeper into the factors that are missed by AI proponents. Most AI studies have measured automation capabilities and AI adoption patterns, according to a paper that summarizes discussions and findings of the CIVIC-AI 2026 workshop held in July in Singapore.
Indeed, many surveys out there – both corporate and academic – show X percentage of companies have adopted AI, and X percentage haven’t seen the value, or whatever the case may be. “Such metrics ignore the greater impacts of human-agent collaboration in transforming the nature of work," the paper’s authors state. What is needed is a more holistic picture of how AI is augmenting workflows – via “task allocation, decision rights, hidden verification work, recovery burdens, and human capability evolve together over time.”
AI may be simply speeding up one process, while creating more work for someone else. “While an AI system may reduce the time required to produce an initial output, it may increase the effort required for verification, exception handling or recovery,” the paper contends.
Original source
This story was published by Forbes: Innovation and written by Joe McKendrick, Senior Contributor. SyncAI.news shows a preview; the complete article is on the publisher's site.
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