Only 3% of leaders are prepared to lead their organizations in artificial intelligence adoption, according to recent research. This lag in leadership readiness is notable, given the increasing rate of AI adoption in the workplace.
Visitors to an artificial intelligence exhibition stand at an industrial trade fair in Hanover, Germany, reflect the growing interest in AI, but the numbers tell a different story. Just 17% of organizations claim to have “advanced” or “transformational” workforce readiness for AI use, per a report from ManpowerGroup.
A new study from ManpowerGroup Talent Solutions suggests that choosing to integrate artificial intelligence into the world of work is no longer the core AI issue. Instead, workforce readiness and overall AI leadership are the main concerns, according to a July 22 report.
The report found that only 17% of organizations have achieved “advanced” or “transformational” workforce readiness, where AI capability is “deeply embedded into workflows.” Furthermore, only 3% of the 80 C-suite, CHRO, and senior talent acquisition leaders surveyed could say their leaders are “highly prepared” to lead regarding AI adoption at work.
Sailesh Hota, vice president of Everest Group, noted that the first era of AI at work was marked by questions of adoption, but the second era will be one of “adaptation.” He added that the ability to redesign how work is organized may become a more important determinant of success than technology deployment alone.
Newly published research from Gallup supports the idea that AI has become embedded in the current world of work. Rates of strategic pay hikes and AI adoption are increasing, according to Gallup’s July 21 report, but employee engagement remains unchanged from its current low point.
This suggests that AI adoption alone won’t determine whether or not a workforce is engaged. Instead, other factors such as learning and development programs may play a key role in improving employee engagement, especially in the era of AI. A recent SHRM report indicated that such programs are essential for boosting engagement.
As AI becomes more embedded in the workplace, it’s likely that organizations will need to focus on developing their leaders’ abilities to adapt and lead in this new environment. This may involve providing training and development opportunities to help leaders understand the implications of AI and how to effectively manage its implementation.
The gap between AI adoption and leadership readiness is a significant challenge for organizations. As artificial intelligence continues to evolve, it’s essential for leaders to be prepared to steer their organizations through this change.
One potential approach to addressing this gap is to focus on developing leaders’ skills in areas such as data analysis and interpretation, as well as their ability to communicate effectively with employees about the implications of AI. By doing so, organizations can help ensure that their leaders are equipped to lead in an AI-driven workplace, which is key for a successful interview process.
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