Striking the Balance in Skills-Based Talent Management: Three Key Takeaways for HR Leaders
Skills have stayed near the top of HR trends in SAP SuccessFactors’ Future of Work Research Lab studies since 2020. They were still central in 2025: skills gaps opened by artificial intelligence, skills-based hiring, a strong learning culture, and the human skills that differentiate people in an AI-driven world were the standout themes.
Yet many organizations still cannot start their skills journey—or struggle to move forward. We distilled three takeaways from this year’s #3 trend: “striking a balance to advance skills.”
1. Being skills-based does not mean tying everything to skills
According to the research, only 34% of organizations ultimately want to move to a fully skills-based structure. 63% prefer to use skills data together with other information when making decisions. Employees and managers agree: the ideal balance is for decisions to rest 70% on skills and 30% on other criteria.
The right approach also varies by role type. A fully skills-based model can work for roles built on static or technical skills (such as IT), or for HR, finance, and administrative work that shares common processes across industries. In senior leadership, operations, and product development—where critical skills keep shifting or context is decisive—that approach may fall short.
That is why SAP SuccessFactors’ skills framework offers four tiers: skills-implied, skills-informed, skills-led, and skills-based. Organizations can combine different approaches across units instead of locking into a single model. Whichever tier they choose, the talent intelligence hub built into SAP SuccessFactors HCM centralizes skills data and keeps it current across the employee lifecycle.
2. Motivating employees to build skills requires both intrinsic and extrinsic drivers
Organizations are made up of very different learner profiles: new hires, leaders, high-potential employees, field workers, sales professionals, career changers, interns… Each has a different motivation and preference for learning. That is why a personalized learning experience is the first step in making employees owners of their own development.
Intrinsic motivation alone is not enough. In the research, the leading reason employees hesitate to join work-related learning is a lack of financial reward. HR leaders’ concern is understandable: what if employees gain new skills and the reward—then leave for a competitor? Retention-oriented incentives such as restricted stock units (RSUs) tied to skills development can reduce that risk. Combined with clear career paths and visible growth opportunities, they create a strong reason for employees both to develop and to apply what they learn inside the organization.
Here, skills data in the talent intelligence hub helps employees discover future roles aligned with their current skills, interests, and aspirations. The opportunity marketplace inside SAP SuccessFactors Career and Talent Development recommends AI-supported, personalized learning opportunities, mentors, job postings, temporary assignments, and dynamic teams.
3. Human qualities are the key to understanding artificial intelligence
The “human skills or technical skills?” debate needs to become an “and.” Employees must use distinctly human capabilities—critical thinking, communication, emotional intelligence—as differentiators, while also acquiring the technical knowledge required to work with AI.
Perhaps the most important skill is AI literacy: understanding AI’s core concepts, using tools against clear goals, recognizing when you are interacting with AI, assessing its limits and potential, and considering ethical implications.
The research shows that people with low AI literacy are 6 times more likely to feel uneasy about using AI at work, 7 times more likely to feel afraid, and 8 times more likely to feel distressed. Literacy is not only about comfort: it is a far more sustainable, long-term strategy than focusing on a single technical skill that can become obsolete quickly.
The talent intelligence hub comes into play here as well. Employees can rate their AI-related skills themselves or have skills inferred from their activities and achievements. That data provides a real-time view of workforce readiness, and the hub generates course and development recommendations matched to each employee’s level and potential.
Conclusion: Start with courage
A successful skills strategy is possible for organizations willing to challenge assumptions, find the right balance, and move forward with a purpose-fit mindset. Today’s technology makes this far more attainable than it was only a few years ago. The best next step is to get into the process.
SAP SuccessFactors’ talent intelligence hub unites learning, performance, career, and talent development under a single skills model—serving both employee and organizational goals. If you would like to assess which skills approach fits your organization, get in touch with us.