This week’s LinkedIn developments reveal a platform that is doing far more than hosting résumés and job posts. It is becoming a live indicator of labor market trends, a gateway to entirely new categories of AI-powered work, and a stage where modern career rules are being rewritten in public. From a 20% hiring slowdown since 2022, to professionals earning up to $150 an hour training AI systems, to Ryan Roslansky declaring cover letters outdated while rewarding visibility and adaptability, one message is clear: the future of work is shifting faster than most people’s career strategies. Here are the three stories that define that transformation.
Hiring Has Fallen 20% Since 2022 and LinkedIn Says AI Is Not the Reason
LinkedIn’s global chief legal officer Blake Lovitt told the Semafor World Economy Summit this week that hiring across the platform has declined by roughly 20% since 2022. The statement came alongside a pointed rejection of the idea that artificial intelligence is driving the drop. According to Lovitt, LinkedIn’s data, drawn from what the company calls its “economic graph” spanning over a billion members, companies, jobs, and skills does not show AI displacing workers at a meaningful scale right now.
“We looked at this question because everyone is interested in the answer: is AI impacting jobs right now? We looked and, frankly, we didn’t see it,” Lovitt said during the interview. He specifically called out the sectors where AI impact is most frequently predicted – customer support, administrative work, and marketing – noting that LinkedIn’s data does not reflect a disproportionate decline in those areas. The hiring slowdown, he suggested, is more closely tied to rising interest rates and the broader macroeconomic environment than to any technology-driven displacement.
Lovitt also addressed concerns about younger workers entering the job market. LinkedIn’s data does not indicate that college-age professionals seeking their first role have experienced a sharper hiring decline compared to those in mid-career or later stages. That finding pushes back against a widely held fear that AI is disproportionately closing the door on entry-level positions.
However, the picture is not entirely reassuring. While Lovitt does not see AI as the cause of the current hiring contraction, he acknowledged that the situation may change. He pointed to a striking data point: the skills required for the average job have shifted by 25% in just the past few years. With the continued development of AI tools and workflows, LinkedIn expects that figure to reach 70% by 2030. The implication is clear – even if AI is not eliminating jobs today, it is fundamentally reshaping what those jobs require.
This aligns with a broader message from LinkedIn’s leadership. The company’s CEO Ryan Roslansky has previously identified four soft skills whose value is increasing in an AI-driven economy: curiosity, courage, communication, and compassion. Together, the messaging suggests that LinkedIn sees AI’s primary impact not in job losses but in job transformation – a shift in what professionals need to know, not whether they will be needed at all.
LinkedIn Is Quietly Building an AI Training Marketplace
LinkedIn is entering the AI training business. The platform confirmed to Business Insider that it is conducting early tests to launch an “AI labor marketplace” where professionals with domain expertise can earn up to $150 an hour training AI systems. The initiative would position LinkedIn as a direct competitor to fast-growing startups like Mercor, Scale AI, and Surge AI’s Data Annotation platform, which have built large businesses matching human experts with frontier AI labs.
The concept behind AI training marketplaces is straightforward but increasingly important. AI chatbots and models improve through reinforcement learning from human feedback – a process that requires real people with real expertise to rate AI responses, test edge cases, and identify errors. This type of work has exploded in demand as companies like OpenAI, Anthropic, and Google invest heavily in making their models more accurate across specialized domains.
LinkedIn already has more than a dozen public listings for AI training roles. A senior software engineer can earn up to $150 an hour training AI on coding tasks. Nurses and finance professionals can make up to $100 an hour training models in their respective fields. Linguists specializing in Germanic and Nordic languages are listed at similar rates. Even red-teaming roles – where professionals test AI systems for vulnerabilities and failure modes – are available at $40 to $50 an hour. The platform has also introduced a notification feature that alerts users whenever a new AI training opportunity is posted.
The competitive landscape LinkedIn is entering is already enormous. Mercor quintupled its valuation in less than a year to $10 billion. Surge AI, which operates the Data Annotation marketplace, is valued at $24 billion according to Forbes. However, the sector’s rapid growth has also introduced serious problems. Scale AI left confidential contractor and client information exposed across hundreds of Google Docs last year. Mercor was recently hit by a data breach that compromised contractor data and triggered five class-action lawsuits in a single week.
LinkedIn’s entry could represent a significant shift in this market. The platform already has the infrastructure that AI training startups spend years trying to build: verified professional identities, detailed skill profiles, and a global talent pool of over a billion members. If LinkedIn can match domain experts with AI training demand at scale while maintaining the security and trust its professional network provides, it could quickly become one of the most important players in a sector that is still defining itself.
The move also signals something broader about LinkedIn’s strategic direction. The platform is no longer just a place where professionals find traditional jobs. It is becoming an infrastructure layer for new categories of work that did not exist five years ago.
LinkedIn’s CEO Grades Career Moves: Cover Letters Get a ‘D,’ Job-Hopping Gets an ‘A’
LinkedIn CEO Ryan Roslansky sat down with influencer Hanna Goefft to grade some of the most common career advice professionals hear, and his answers may surprise anyone still spending hours on a cover letter. Cover letters received a D. Job-hopping for more money earned an A.
“I think we’re beyond like a couple of paragraphs that say ‘I’m a good collaborator,'” Roslansky said about cover letters. “It’s more about actually showing your work.” The comment reflects a broader trend that has been building across the hiring landscape for several years: employers are placing less weight on traditional credentials and formal application materials and more weight on demonstrated skills, visible output, and adaptability.
Roslansky’s highest marks went to building a personal brand. He noted that many professionals are now getting hired not because of what they list on a résumé, but because they share their knowledge publicly – through posts, articles, and professional conversations. Visibility, in his view, has become a form of credibility.
His other grades were equally revealing. Editing a résumé with AI received an A, suggesting that Roslansky sees AI fluency as a baseline expectation rather than a shortcut. Getting an MBA earned a C. Taking a class in AI also received a C – implying that credentials alone, even in a hot field, are not enough without practical application. His harshest grade beyond cover letters went to the advice “follow your passion,” where he referenced a conversation with NYU professor Scott Galloway. “He told me, ‘People who tell you to follow your passion are already rich,'” Roslansky quoted. “If you can find an intersection of your passion and your skill – what you’re good at – that’s the spot to be.”
The grading exercise was more than content. It reflected a specific vision for how the professional landscape is changing. Roslansky explicitly stated that job seekers must demonstrate their ability to use AI to create or build something. In a market where hiring has cooled significantly – February 2026 saw hiring levels not seen since the early Covid lockdowns – the ability to signal practical AI capability and professional adaptability may matter more than traditional markers of competence.
Other business leaders are echoing similar priorities. McKinsey Global Managing Partner Bob Sternfels has said his firm expanded its candidate searches to prioritize resiliency traits. Former Citadel CTO Umesh Subramanian told Business Insider that he personally calls applicants to test their curiosity. The pattern across these leaders is consistent: in a tightening job market shaped by rapid technological change, the professionals who stand out are those who can demonstrate adaptability, practical skills, and the ability to learn fast.
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