Why Companies Favor External Hires Over Internal AI Reskilling

A recent study reveals a disconnect between HR's belief in reskilling employees for AI roles and the trend of hiring externally.

Why Companies Favor External Hires Over Internal AI Reskilling

Understanding the Talent Landscape

In today's rapidly evolving job market, organizations face a paradox concerning their approach to artificial intelligence (AI) roles. A new study from Careerminds highlights a significant trend: while HR leaders strongly believe that their current employees can be retrained for AI positions, many companies still prefer to hire externally.

Optimism Among HR Leaders

The findings from Careerminds’ research indicate that 92% of HR professionals, along with 88% of people managers, are confident that existing employees have the potential to transition into AI-driven roles. This overwhelming support points to an underexplored asset within many organizations — their current workforce.

A Preference for External Hiring

Despite this confidence in internal talent, the study reveals that over half of HR professionals (51%) and nearly half of people managers (47%) report their organizations are choosing to recruit outside talent for new AI-related positions. In contrast, only 42% of respondents indicated that they are redeploying existing employees into these roles.

Mark Saddic, a senior partner at Careerminds, notes this disconnect: "Companies are investing in AI while potentially overlooking one of their most valuable resources: the people they already employ." This hiring trend suggests a troubling shift away from leveraging internal capabilities.

Challenges in Reskilling

The reluctance to embrace internal reskilling stems from various challenges. A notable barrier cited by 43% of HR professionals and 34% of managers is the difficulty in accurately assessing the skills of current employees. This lack of visibility makes it harder to identify who might be suitable for reskilling initiatives.

This issue is not entirely new; the management of skills development in the context of AI has long been a point of discussion. Recently, Pearson’s acquisition of Workera — a platform focused on AI skills — highlights the push towards addressing skills gaps within organizations.

Sector-Specific Trends

Variations in response to AI workforce needs are evident across industries. In the tech and telecommunications sectors, the propensity for external hiring exceeds internal redeployment by 15%. However, the media and entertainment industry appears to tackle this differently, reporting that 56% of HR professionals in that sector focus on redeploying employees rather than hiring externally, with only 25% favoring the latter.

The Financial Implications of External Hiring

In addition to affecting internal talent growth, the preference for external hiring can have financial consequences. Research highlighted in Careerminds' white paper suggests that hiring candidates from outside the organization could cost three to five times more than filling similar positions from within. Moreover, external recruitment can take up to 20 days longer than promoting internal talent.

As organizations continue to adapt to the increasing demands of AI, recognizing and cultivating the potential within their current workforce could lead to more effective and economically advantageous strategies. Investing in employee development not only alleviates hiring costs, but it can also boost employee morale and retention.

Looking Forward

In conclusion, the discrepancy between HR’s belief in the potential for internal reskilling and the current trend of external hiring necessitates a reevaluation of recruitment strategies. By harnessing the existing skills within their workforce, companies can enhance operational efficiency while simultaneously promoting a culture of growth and learning.