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Employee upskilling’s hidden barrier: Motivation

June 3, 2025
in Human Resources
Reading Time: 3 mins read
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Employee upskilling’s hidden barrier: Motivation
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In the scramble to adopt AI and upskill workforces, we’re overlooking a fundamental truth: Even the most sophisticated learning technology fails when employees lack the motivation to engage in learning. As AI dominates headlines, as well as boardroom and classroom discussions, we face a pivotal moment to address the human element that ultimately determines the success of any digital transformation.

At Udemy, our latest research reveals a striking insight: Thirty-six percent of organizations cite employee resistance as the primary barrier to skill development initiatives. This statistic should stop us in our tracks. While we’ve been focused on securing the right technologies and designing learning pathways, we’ve underestimated a powerful opposing force—human reluctance.

Yet this same research offers hope: Eighty-four percent of organizations report that AI-driven learning tools have moderately or greatly improved learning effectiveness. The question becomes: How do we bridge this gap between technological potential and human engagement?

See also: 3 ways upskilling can stimulate the post-COVID economy

The potential of AI-powered employee upskilling

The power of AI lies in its ability to tailor learning to each individual learner. Our research highlights that personalized learning approaches significantly increase engagement among learners: Fifty-nine percent of organizations find skill assessments effective, while 52% see results from flexible learning formats.

What drives this impact? Personalization speaks to our intrinsic desire for autonomy and mastery. When learning experiences align with individual goals and recognize existing capabilities, they tap into powerful motivational forces that generic programs simply cannot match.

The practical path forward

AI is powerful, but successfully addressing motivation challenges is not as simple as “add AI and stir.” For HR leaders looking to harness AI while addressing motivation challenges, consider these approaches:

  1. Start with “why”: Before introducing new learning technologies, clearly articulate how these tools will benefit employees professionally and personally, both in the short term and long term.
  2. Address privacy, trust and safety head-on: Privacy and data concerns are top of mind for HR and learning professionals in our research, with roughly half expressing concerns about protecting user data and AI’s accuracy in understanding individual learning needs. Addressing these concerns starts with prioritizing transparency and building trust. HR leaders should ensure AI systems are designed with robust data protections, ethical guidelines and clear disclosures on how information is used.
  3. Involve employees in selection: When employees participate in choosing learning platforms, they develop ownership that naturally enhances engagement. By involving employees in the conversation and choosing tools that prioritize both accuracy and privacy, organizations can unlock AI’s potential while safeguarding what matters most.
  4. Change the framing: Consider how your organization approaches upskilling. Are you presenting it as a mandate or as an opportunity? Are you connecting learning to meaningful career advancement? These framing decisions—and incentives—dramatically influence how employees respond.
  5. Build learning into work: Give employees official time during the week to upskill. At Udemy, we’ve created UDays where employees are encouraged to refrain from scheduling meetings and use the time to learn one of our priority skills (for instance, how to leverage AI in their role).

An opportunity for HR leaders

As AI adoption accelerates, HR leaders stand at a crossroads. We can focus exclusively on technological implementation, or we can recognize that part of our unique value lies in addressing the human factors of motivation.

The organizations that thrive will be those where HR doesn’t just deploy learning technology but creates the conditions for engagement. These will be places where upskilling isn’t something done to employees but with them.

The future of work isn’t just about artificial intelligence—it’s about augmented humanity. As HR leaders, that’s not just our challenge; it’s our opportunity.


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