As leaders look for opportunities to successfully drive AI adoption throughout their workforce, our latest survey of employed Americans offers a practical guide.
The research revealed three kinds of AI users. Just over a third of workers (36%) were identified as “AI-enthusiastic”. This group uses AI heavily and credits it with helping them produce better work. Another 34% are “AI-burdened”. They also use AI frequently but they’re more likely to say AI doesn’t help improve their outputs and that they’re often spending their time correcting what AI produced. The remaining 30% rarely use it, in many cases because nobody has trained them. It’s worth noting that nearly half of enthusiastic users (49%) do not have a college degree, so engagement is not necessarily limited to a certain profile of worker.
The differences between these groups offer insight on how to manage AI-driven transformation in ways that benefit workers and drive business outcomes.
Let’s start with how each group uses the tools. AI-enthusiastic workers are in them constantly, with 18% logging more than 15 hours a week. By contrast, 69% of burdened workers stay in the one- to eight-hour range. Interestingly, neither group is working less as a result. Forty-five percent of enthusiasts say AI has increased their workload, as do 41% of burdened workers. Both are doing more, but only one of them feels good about it.
This leads to another key takeaway. 95% of AI enthusiasts say their manager has “some awareness” of how AI is changing their role or adding to their workload, compared to 88% of AI-burdened workers. When asked whether their manager is “fully aware”, the gap widens sharply to 69% versus 44%.
The final insight relates to engagement and loyalty. 59% of enthusiastic workers say AI makes them more likely to stay with their current employer – more than double the number of burdened workers who say the same. Nearly a quarter (24%) of the AI-burdened group report that they have already had doubts about staying or are considering leaving their jobs based on how AI is changing their role.
While companies race to build or access the best tools to compete and win in the AI-powered economy, the ROI of AI may rely just as much on the strength of the teams using it.
Be well,
Martin
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