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AI Is Changing Work. HR Must Lead the Skills Revolution

HR leaders need to lead the effort to upskill employees to use AI across the enterprise, using proven change management combined with hands-on experimentation.
 
Artificial intelligence (AI) is actively reshaping how work gets done across every function of the enterprise and across every market. For HR leaders, this moment represents both a challenge and an opportunity as they help organizations not just adopt AI, but thrive with increased use of AI. 

According to the S&P Global Digital Pulse Technology Skills 2025 survey, almost nine out of 10 businesses indicated they will need to access, acquire, or develop new technology skills in the next 12 months. Organizations are prioritizing upskilling over hiring to fill these gaps. 

HR leaders need to lead this effort to upskill, using proven change management combined with hands-on experimentation across the enterprise.
 
Enterprise-wide Skills Training
HR leaders must apply enterprise-wide skills strategies rather than reactive, siloed training programs. This means aligning workforce capabilities with the rapidly evolving business needs.

This starts with a skills audit, an active identification, measurement, and evaluation of the skills its workforce currently has. Then layering on the question, “What skills will we need in an AI-enabled organization?” will make the gaps clear for training approaches to be applied.   

Training for AI use cannot be done with a flat power point presentation. It needs to be an interactive endeavor. Consider developing cross-functional learning cohorts that can do peer-led AI experimentation. Internal hackathons also can be a way to give hands-on experience with AI while developing tools the organization needs. 

Measuring What Matters
Measuring the impact of upskilling is just as important as the training itself. HR should track leading indicators like course completion rates, employee confidence scores, and AI tool adoption alongside lagging indicators like productivity gains, error reduction, and time saved on key workflows. Tying these metrics to business outcomes makes the case internally for continued investment.

What is an AI skill?
An AI-empowered workforce needs to be trained on these basic tenants. 
  • Data literacy – The ability to read, understand, question, analyze, and communicate with data in a way that leads to sound decisions. It's about ensuring employees can use data confidently and responsibly in their day-to-day roles.
  • AI collaboration – Employees should understand where and how to evaluate AI outputs and make changes. This involves training on adaptability, knowing when to pivot if a process is not working.  
  • Prompt engineering – Employees should be able to create prompts that result in the desired outcomes from generative AI tools.
  • AI governance and ethics – Understanding the ethical and regulatory boundaries involved with AI.

Beyond this basic AI hygiene, HR should work closely with IT to develop position-specific training that helps each operational team; technology, engineering, finance, C-suite, management to learn how to use the role-specific AI tools and data they produce. 

AI Success Depends on Change Management 
While technology is the catalyst, the success of AI upskilling efforts ultimately depends on people.

Employees may feel uncertainty or anxiety about how AI will impact their roles. HR must address these concerns proactively by fostering a culture of transparency, experimentation, and support. This is classic change management. Communications should reframe AI as a tool for augmentation rather than replacement, helping employees see how it can enhance their work rather than eliminate it. 

Upskilling Starts at Home
While HR has a strategic role to play in enterprise skills training, they cannot neglect their own training. HR must transform alongside the rest of the company to maintain credibility by modeling the very behaviors it is trying to instill across the workforce.

By implementing AI training within HR, teams can more effectively use AI to: 
  • Create and use data dashboards to guide workforce planning conversations
  • Improve candidate sourcing and screening while actively managing bias risks
  • Personalize learning programs and platforms

Meeting the New Definition of Work
AI is not just changing how work gets done. It is redefining what it means to be ready for work in the first place. HR has the opportunity to not only restructure the technology tools used by their own departments but also upskill and reskill employees throughout their companies.
 
Upskilling is a strategic driver of organizational success. By leading with intention, empathy, and a focus on skills, HR can help organizations navigate the complexities of AI adoption while unlocking the full potential of their workforce.


Authored by the HR Alliance Communications Team.
 

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