AI Is Flooding the Market with Talent—So Why Is Hiring Getting Harder?
The Hidden Crisis in Hiring: We’re Measuring the Wrong Skills
The most urgent skills gap in today’s labor market isn’t technical—it’s human.
"I can train someone to be a Python developer in six months," Matthew Dickason, CEO of Hays Asia Pacific, notes in a conversation with Workforce Observer. "But training people to collaborate, communicate across an organization, and apply critical thinking takes much longer."
Enter the shift toward “agile mindsets”—the ability to learn, unlearn, and relearn. The staffing industry’s value is increasingly tied to identifying these durable human capabilities, rather than simply validating technical credentials.
Matthew Dickason CEO
Hays Asia Pacific
At the same time, the hiring landscape is becoming noisier. Generative AI is flooding the market with highly polished, “customized” resumes—more than half of candidates are expected to use AI in applications—making it harder to assess true capability. While candidates rush to add AI tools to their profiles, employer data tells a different story: analytical thinking, communication, and creativity consistently rank above technical skills in importance, according to LinkedIn and the World Economic Forum.
This tension is accelerating a shift toward skills-based hiring.
The conversation around AI in staffing often centers on speed and matching. The bigger opportunity, however, is using AI to rebuild trust and equity in talent systems. Dickason argues that moving from credentials-based to skills-based hiring can surface underrepresented talent that traditional filters overlook.
Used well, AI can help analyze actual skills, infer capability from experience patterns, and reduce reliance on outdated proxies. The implication is profound: AI shouldn’t just optimize efficiency—it should help restore trust by revealing real human potential, especially among candidates historically excluded by credential-based systems.
Some organizations are already moving in this direction. IBM has removed degree requirements from more than half of its roles, while McKinsey & Company research suggests skills-based approaches can expand talent pools by up to 20x. The result is a broader, more inclusive definition of talent—one that values capability over pedigree.
For workforce solutions providers, this shift is redefining the partnership model. Clients are no longer just asking, “Who can you find me?” but “Where and how should work get done?” As hybrid work expands the talent mindset, leaders are moving from activity-based management to outcomes-based performance. That shift requires not just new tools, but new ways of thinking—something staffing partners are increasingly expected to guide.
Looking ahead, Dickason believes three priorities will define success by 2028:
- Inclusion: Ensuring technology creates new pathways rather than displacing workers.
- Skills-first: Making skills-based hiring the standard at scale.
- Trust: Using technology to improve transparency and restore confidence in the hiring process.
The future of work isn’t a destination; it’s a continuous recalibration. As workforce architects, the mandate is to ensure that as the system moves faster, it remains grounded in human potential.