Learn how AI's rapid transformation of job descriptions is driving an emerging workplace practice called "skillspotting"—focused on identifying employees' existing, often hidden, abilities and transferable talents, moving beyond traditional credentials like degrees and job titles.gettyFor decades, companies have managed talent by looking backward. What degree does an employee have? What jobs have they held? How many years have they spent in a particular role? Artificial intelligence is making both the conventional job application and the four-year degree obsolete. AI rewrites job descriptions and reorganizes the division of labor between people and machines, employers are forced to ask a different question: What can this person actually do?What Is 'Skillspotting’?Tigran Sloyan, co-founder and CEO of CodeSignal, is an advocate of “skillspotting”—the practice of surfacing the skills your people already have and using that visibility to unlock new possibilities for your organization. “It’s about moving beyond rigid job descriptions to see your workforce as something more fluid,” he told me.The practice behind it is gaining momentum through the broader movement toward skills-first hiring, internal mobility and skills-based workforce planning. Instead of asking only, “What skills do we need to hire?” or “What capabilities are hiding in plain sight among the people we already have?”“In the AI era, employees are practicing and growing new skills far beyond the requirements of their jobs,” Sloyan points out. He says a salesperson could be building an AI agent to improve their efficiency, or an engineer could start taking up an interest in accessibility design. Sloyan acknowledges that these are skills companies may not even know they have because employees learned them while on the job. "The organizations that get this right will fill roles more effectively, build better teams, spin up tiger teams for emerging projects and stay agile as the work itself keeps changing." Why ‘Skillspotting’ Is Emerging NowAI is making the collection of tasks inside many jobs change faster than the titles themselves. The World Economic Forum estimates that 39% of workers' core skills will change by 2030, as technological change and other economic forces reshape work. The organization also projects that labor-market disruption could create 170 million jobs while displacing 92 million by 2030.That means employers cannot simply keep replacing yesterday’s employees with people who possess yesterday’s credentials. They have to find people who can move. That’s one reason internal mobility is becoming increasingly important.LinkedIn's 2025 Workplace Learning Report found that 55% of organizations identified as career-development champions viewed internal mobility as a higher priority for the year ahead, compared with 48% of other respondents. And LinkedIn's 2026 Talent Velocity research argues that skills data can help talent move across organizations based on capability rather than hierarchy.“Skillspotting” is the human side of that equation. It means noticing the marketing assistant who has an uncanny ability to interpret data. The accountant who is exceptionally good at explaining complex concepts to customers. The administrative employee who has become the unofficial AI troubleshooter for the department. The customer-service representative who repeatedly calms angry clients and may possess undiscovered leadership ability.Their titles don’t necessarily reveal those capabilities. Their behavior does.From Job Titles To Skill PortfoliosThe old workplace was organized largely around jobs. The emerging workplace is increasingly organized around skills. Under the traditional model, an employee might say, I’m a project manager. “Skillspotting” breaks that identity apart.What does that employee actually do well? Perhaps she coordinates cross-functional teams, resolves conflict, analyzes risk, communicates with executives, negotiates deadlines, uses AI tools, manages budgets and keeps people focused during uncertainty.Suddenly, one job title contains eight or 10 potentially transferable skills. And some of them may be more valuable elsewhere in the organization. This distinction matters because companies increasingly need combinations of technical and distinctly human capabilities. The World Economic Forum says employers will increasingly need human-centered abilities such as judgment, problem-solving and collaboration alongside technological expertise.In other words, the future employee might not be the person who fits one job perfectly. It could be the person whose portfolio of capabilities can be redeployed repeatedly.'Skillspotting’ Could Change How People Get PromotedThis could have profound implications for career advancement. Traditional promotions tend to reward linear progression: analyst becomes senior analyst, manager becomes senior manager and director becomes vice president.“Skillspotting” opens the possibility of moving sideways before moving upward. Someone in operations might move into customer experience. A salesperson with strong mentoring skills might move into learning and development. An HR employee who becomes highly proficient with AI might transition into workforce technology. That changes the question managers ask when a position opens.Instead of: “Who has already done this job?” They can ask: “Who has demonstrated the abilities required to succeed at it?” SHRM describes skills-based hiring in similar terms—matching talent to work according to proven technical and soft skills rather than depending predominantly on degrees and previous titles.And there may be substantial business benefits. SHRM reports that skills-first practices can reduce cost-per-hire by as much as 30% and turnover by more than 40%, according to figures cited by the SHRM Foundation.The Five Skills Managers Should Start SpottingThese are the kinds of transferable human capabilities becoming more important as technology absorbs more routine work. 1. Learning agility. Who learns unfamiliar systems quickly? In an environment where skills are constantly changing, the capacity to learn may become more valuable than possession of one fixed body of knowledge.2. Judgment. AI can generate recommendations, but employees still must determine whether those recommendations make sense. Watch for people who know when to challenge an answer, recognize missing context and anticipate unintended consequences.3. Communication. Notice who can take complexity and make it understandable. As AI increases the volume of information inside organizations, clarity becomes more—not less—valuable.4. Problem-solving. Pay attention to the employees who do not simply report problems but define them, identify patterns and propose workable solutions.5. Collaboration. Look for people colleagues naturally seek out. Informal influence can reveal leadership ability long before a leadership title does.Why Job Seekers Should Become ‘Skillspotters’, Too“Skillspotting” isn’t only something employers should do. Employees can skillspot themselves. Many workers underestimate their capabilities because they confuse their job description with their skill set.Ask yourself: What do people routinely come to me for? What problems do I solve faster than others? What have I learned during the past year that wasn't originally part of my job? When has someone said, “You're really good at that”? Which assignments energize me instead of draining me?Those answers may reveal more about your future career than your current title. Keep a running inventory of accomplishments and the skills behind them. Don't write, “Helped launch a new project.” Identify what you actually demonstrated: stakeholder management, persuasive communication, project planning, conflict resolution, data interpretation or AI fluency.That language can become increasingly important in resumes, LinkedIn profiles, performance reviews and promotion conversations as organizations move toward skills-first employment.A Final TakeawayThe resume isn’t disappearing tomorrow. Neither are degrees, titles or experience. But their monopoly on determining career potential is weakening. As AI changes what jobs contain, organizations will increasingly need to understand employees at a more granular level—not simply what jobs they have held, but what capabilities they possess.That’s why “skillspotting” could become one of the most important management habits of the AI era. The best candidates for your next critical position may not be applying for it. They may already be sitting three departments away, demonstrating exactly the skills you need. Someone just has to spot them.