April 22, 2026
April 22, 2026
Photo by Arlington Research on Unsplash
Even as job search activity rises, the mechanics of hiring—ghost jobs, mismatched roles and slow processes—are eroding trust in the system.
Professionals are applying more broadly, often below their skill level, just to secure employment. This friction is reinforcing pessimism and suppressing confidence.
A lot of the friction in tech hiring today stems from how quickly the tech landscape has evolved and scaled. Applicants are leveraging AI and other new tools in their job search, leaving companies to manage a higher volume of applicants than ever before.
In addition, AI-driven workflows and integration of AI into the workplace have shifted role requirements.
This has created gaps between how roles are defined, how candidates are evaluated, and how hiring decisions are made.
Skills Scarcity, Outdated Hiring Workflows
Abhinav Shrivastava, IDC research manager, talent acquisition and strategy, explains the current hiring friction in tech primarily originates from the conundrum of skills scarcity, a post-COVID cautious approach to talent, and traditional hiring workflows which are not suited for the current market landscape.
“Businesses across industries are unwilling to take an aggressive all-you-can-get stance for talent as they did during the early 2020s,” he says. “Hiring managers are increasingly getting selective to optimize skills, cultural, and cost composition of teams.”
At the same time, legacy hiring workflows are fragmented across different solutions creating blind spots for recruiters, hiring managers, and candidates, leading to poor experience and engagement for all stakeholders.
“It hits candidates the most, as they end up in the dark for days and weeks waiting for an update from recruiters,” Shrivastava explains.
Tan Moorthy, CEO of Revature, explains today's tech hiring is being shaped by two powerful and simultaneous forces: widespread layoffs across the sector and the absence of holistic workforce planning within organizations.
“AI is automating tasks across many roles while making others significantly more productive, compelling organizations to redefine existing roles and create entirely new ones,” he says. “However, without clear and well-thought-out job descriptions, hiring becomes difficult and imprecise.”
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