A new survey from McKinsey & Company on the use of generative AI in enterprise organizations reveals what many HR leaders already know: talent acquisition, integration, and role-specific upskilling programs are essential for success.
As generative AI continues to disrupt industries and reshape business models, McKinsey’s research sheds light on the critical role of talent development for organizations eager to unlock the full potential of this transformative technology.
The report found a clear distinction between leaders and laggards regarding their talent development strategies for generative AI adoption. Here’s a closer look at what sets high performers apart.
Generative AI leaders have tailored learning journeys and talent strategies that put them significantly ahead of laggards. McKinsey’s research found that leaders are twice as likely (43% versus 18%) to have a curated learning journey tailored by role for developing generative AI skills and nurturing technical talent.
A similar trend was seen in Correlation One’s 2024 market research study, where 46% of organizations said fully custom training that uses internal datasets and workflows is critical to AI upskilling success. Reflecting on this, targeted upskilling and capability building are hallmarks of the organizations that will successfully navigate the generative AI revolution.
Generative AI upskilling produces the best outcomes when training is rooted in the organizational context in which a professional operates. As a result, training initiatives should be personalized based on:
By providing role-specific training and continuous learning opportunities, forward-thinking companies equip their workforce with the knowledge and expertise required to harness the power of generative AI effectively.
McKinsey’s survey underscores the strategic foresight of leaders, who are twice as likely (32% versus 15%) to have clearly defined the talent needed in roles and skills to execute their generative AI strategy.
Strategic talent mapping ensures that organizations:
In terms of where generative AI skills gaps lie in your organization, Correlation One’s market research study found the following job functions to be most in need of AI-related upskilling:
Generative AI proficiency is desired by employees and executives alike, but a lack of training prevents success. To get started on the right foot:
Remember to meet employees with training that aligns with current proficiency levels and builds technical knowledge.
If you need support, external partners, like Correlation One, provide custom workforce development programs to meet organizational needs.
The popularity of generative AI in the workplace requires a comprehensive people management strategy as it touches every part of the organization. From marketing to HR, the use cases for generative AI applications are numerous and widespread.
McKinsey’s survey found that generative AI leaders are almost twice as likely (31% versus 16%) to have a talent strategy for effective recruitment, onboarding, and employee integration.
This holistic approach recognizes the importance of attracting top talent and seamlessly incorporating new hires into the organization's culture and workflows.
A comprehensive approach to people management is needed in the era of generative AI. To effectively upskill employees, organizations must develop the workforce collectively instead of piecemeal. Otherwise, newly gained proficiency will remain siloed despite widespread workplace generative AI usage.
Generative AI is undoubtedly here to stay. In fact, Bloomberg expects the technology’s compound annual growth rate (CAGR) to be 42% in the coming decade. As a result, the difference between a generative AI leader and a laggard will be career-defining.
Here are six actions to take as a generative AI leader:
As the generative AI revolution continues to unfold, the ability to cultivate and nurture a skilled, adaptable workforce is a key differentiator for organizations eager to stay ahead of the curve. Generative AI leaders can position themselves for long-term success in an increasingly AI-driven business landscape by:
Need to take your organization from generative AI Panic to Plan? Get your upskilling implementation plan here.
This article is a guest post by Mark Palmer. He is a Correlation One Program Mentor and the Host of the Data Humanized Podcast. As the former GM of Analytics for TIBCO, he was the head of products and engineering for data science, analytics, MDM, and data products. Palmer was also the CEO of Streambase, named one of the world's most innovative solutions by the World Economic Forum in 2009. Streambase was acquired by TIBCO in 2013. Today, he writes about how data transforms the enterprise on his website, Techno Sapien.