We live at the threshold of the new work age. If we are already experiencing the Industrial Revolution, we are now in the midst of a great AI revolution. McKinsey estimates that corporate recruitment could increase global productivity by $4.4 trillion. but, Only 1% of companies are considered to be AI maturitysuggesting that the majority of companies around the world are still in their early stages.
With the advent of powerful and efficient LLMS, the long-term potential of AI is so great that it also presents challenges in the new era, but the short-term benefits are more uncertain and many companies are reluctant to embark on this journey.
As mentioned above, over the next three years, 92% of companies plan to increase their investment in AI, but report that AI is fully integrated into their workflow and driving substantial business outcomes.
At this point, questions arise. How can business leaders invest capital and bring their organizations closer to AI maturity?
AI is much smarter than models a few years ago. For example, thanks to reasoning ability. These improve and allow technology when making complex decisions A model that moves beyond basic understanding and to a subtle understanding and the ability to create step-by-step plans to achieve your goals.
Companies can improve their inference models and integrate with domain-specific knowledge to provide actionable information more accurately.
Furthermore, research shows that employees are ready and familiar with AI, but need more support and training, which means business leaders need to step up.
A survey conducted by McKinsey shows that 94% and 99% of employees are somewhat familiar with current generation AI tools. However, business leaders underestimate employee use. They believe that if that percentage is actually three times higher, only 4% of employees who use AI for at least 30% of their daily work use AI.
Now is the time to clarify the impact AI has on the workplace Companies invest in training to help them succeed.
The survey found that millennials are the most active generations in AI use, with 62% of employees having a higher level of expertise compared to 50% of Generation Z and 22% of Baby Boomers. By leveraging that enthusiasm and experience, leaders can help millennials play a key role in AI recruitment
.
