Global hiring remains below pre-pandemic levels, but the labor market is not in retreat. Instead, job growth is concentrating in specific regions and roles, particularly those tied to artificial intelligence, according to a new LinkedIn report, Building a Future of Work That Works.
LinkedIn’s data shows worldwide hiring activity running nearly 20% below pre-2020 levels, largely due to economic uncertainty, tighter monetary policy, and a pullback after pandemic-era overhiring. The slowdown has been most pronounced in advanced economies, while several emerging markets continue to expand.
Job Seekers Outpace Available Roles
Even as hiring calms down, worker interest remains high. In 2026, 52% of professionals globally report actively looking for a job. At the same time, nearly 80% say they do not feel prepared to make a move.
This combination has produced a labor market where competition for open roles is intense. In advanced economies, hiring remains 20% to 35% below pre-pandemic levels. In contrast, markets such as India and the United Arab Emirates continue to post strong growth, with hiring well above historical benchmarks.
AI Is Adding Jobs, Not Driving the Slowdown
Despite concerns that artificial intelligence is reducing job opportunities, LinkedIn’s analysis shows that AI is not the primary cause of weaker hiring. Outside of clinical healthcare roles, hiring patterns are similar across jobs with high and low AI exposure.
At the same time, AI investment is generating new employment at scale. Over the past two years, the global economy added approximately 1.3 million AI-related roles, including positions such as AI engineers, data annotators, forward-deployed engineers, and AI leadership roles. AI Engineer ranks among LinkedIn’s fastest-growing job titles over the past three years.
Growth in AI infrastructure is also contributing to employment, with more than 600,000 new jobs tied to AI-enabled data centers.
Entry-Level Hiring Returns to Normal Ranges
The share of entry-level roles declined after the pandemic hiring surge, but current levels are now broadly consistent with historical norms. While early-career workers face stiffer competition, the data does not support claims that entry-level work is disappearing due to AI.
The imbalance between job seekers and openings has placed employers in a strong position to reassess how they evaluate talent, particularly as traditional credentials become less reliable indicators of ability.
Demand for AI Skills Expands Across Roles
As AI tools become more common across functions, skill requirements are rising. In the United States, job postings that require AI literacy increased 70% year over year.
Workers are responding to that demand. Fifty-three percent of U.S. employees say they plan to learn new AI skills within the next six months, and 48% believe those skills will support career growth. On LinkedIn, time spent on AI-related learning content rose 92% year over year.
Employers are also placing increased emphasis on human capabilities such as communication and judgment, viewing them as complements to technical skills rather than substitutes.
Trade and Technical Paths Gain Appeal
LinkedIn’s data shows growing interest in skill-based career paths. Across major economies, more than half of professionals now say they prefer trade-based work over traditional corporate roles. Among Gen Z, nearly 60% describe technical trades as more meaningful career options.
These preferences align with continued demand for hands-on and technical roles that support AI systems, infrastructure, and applied technologies.
What Leaders Are Watching in 2026
For employers, the current labor environment presents both constraint and opportunity. Hiring is slower overall, but competition for specialized skills remains high. AI-related roles, in particular, are becoming central to long-term staffing strategies.
Organizations that invest in training, verify skills beyond resumes, and use AI tools to support hiring and development are likely to be better positioned as the labor market settles into its next phase.
