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Worrying that AI will take your job is so last year. The new workplace trend around AI adoption is worrying that you’ll be insufficiently trained to make the most of AI.
A slew of new studies shows that employers are now concerned that the biggest obstacle to AI adoption is a lack of in-house skills. Consider these findings:
The vendors who have gone in big on generative AI for collaboration and productivity, such as Microsoft and Google, already offer generative AI training. And last spring, consulting firm McKinsey pointed out that it would be easier to ask which job categories aren’t being touched by genAI as a way to boost productivity:
In any given organization, the pool of gen AI talent is likely broader than many leaders realize—and it’s poised to grow rapidly. This cohort isn’t limited to technical talent such as data scientists, software engineers, and machine learning specialists, important as those roles are. In fact, just 12 percent of our respondents fall into this tech-heavy category of traditional gen AI talent. The vast remainder of respondents, or 88 percent, are in nontechnical jobs that use gen AI for help with rote tasks.
So if we look at the different studies, brushstrokes of an overall larger picture, it seems like we’ve got a workforce that knows AI is coming and will affect how they do their jobs — if it isn’t already — and now the real challenge is getting the kind of training that will make their new workflows more productive, not more frustrating.
Workplace leaders have an opportunity to take a look at how to spend time now on training — presumably with the promise of giving employees back their time later when they’re comfortable with their new workplace tools.