#job-filters

#job-filters

The 2026 Agent Migration Report found that while agent turnover remained relatively stable in 2025, a firm's greatest challenge to capturing high-value agents on the move is the inability of a human recruiter to maintain consistent and personalized contact with the prospective agents over a long-period of time.

"LinkedIn?" She laughed. "You mean Facebook for thought leaders? No, I won't be using any of those sites."

Using this methodology, they have determined that "AI is far from reaching its theoretical capability: Actual coverage remains a fraction of what's feasible." Researchers at Anthropic have introduced a whole new way to analyze AI's impact on work, arguing that there's still a huge gap between what large language models (LLMs) are capable of, and real-world deployment.

Chimka also notes that these tools were designed to cater to small business leaders-whose survey feedback to LinkedIn reinforced a common theme, echoed by many owners, that finding skilled talent remains challenging. This source of frustration is more of a problem of perception, rather than a lack of skills, he says. Applicants seeking to pivot into a new industry, for example, may not have the obvious qualifications companies are looking for, but that doesn't mean they can't do the job. LinkedIn Hiring's AI aims to give these candidates a fair shot by making the process more "skills based," he said.

She learned that experts across fields-from physics and finance to healthcare and law-were now being paid to help train AI models to think, reason, and problem-solve like domain specialists. She applied, was accepted, and now logs about 50 hours a week providing data for Mercor, a platform that connects AI labs with domain experts. Ruane is part of a fast-growing cohort of professionals who are shaping how AI models learn.