AI gap and that most of their teams aren’t ready to work
Posted: Sat Dec 28, 2024 9:39 am
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Recent global data shows that many entrepreneurs feel there’s an with AI. Meanwhile, many business leaders are already asking or encouraging their workers to use AI at work—but they don’t realize the expected efficiency gains.
The good news? The causes (and solutions) are manageable. Understanding the AI Gap The AI gap is a double problem. First, adding AI to an inefficient process can exacerbate problems, not improve them. Second, upskilling the workforce bahrain mobile phone numbers database o use AI effectively as part of a full digital transformation is easier said than done.
Most companies can’t afford to take the weeks off work it takes to complete an AI training program. And as organizations create AI-related skill development initiatives, already busy workers may feel more overwhelmed than ever. Burnout is common among workers struggling to embrace new technology while meeting productivity goals.
But the pace of AI development isn’t slowing down — so a slightly late adopter of AI technology could suddenly find themselves on the wrong side of a huge knowledge gap, trying to retrain while keeping up with competitors.
Recent global data shows that many entrepreneurs feel there’s an with AI. Meanwhile, many business leaders are already asking or encouraging their workers to use AI at work—but they don’t realize the expected efficiency gains.
The good news? The causes (and solutions) are manageable. Understanding the AI Gap The AI gap is a double problem. First, adding AI to an inefficient process can exacerbate problems, not improve them. Second, upskilling the workforce bahrain mobile phone numbers database o use AI effectively as part of a full digital transformation is easier said than done.
Most companies can’t afford to take the weeks off work it takes to complete an AI training program. And as organizations create AI-related skill development initiatives, already busy workers may feel more overwhelmed than ever. Burnout is common among workers struggling to embrace new technology while meeting productivity goals.
But the pace of AI development isn’t slowing down — so a slightly late adopter of AI technology could suddenly find themselves on the wrong side of a huge knowledge gap, trying to retrain while keeping up with competitors.