AI Shock and Wage Asymmetry: How to Navigate the New Entry-Level Job Market

College graduates are facing a labor market being dynamically reset by artificial intelligence and shrinking entry-level opportunities. According to Tom Sosnoff, Co-CEO and Co-Founder of Lossdog, the issue is not just AI reshaping jobs, but the imbalance of information that determines how those jobs are priced.

Recent Lumina Foundation-Gallup research shows that 42% of bachelor’s degree students have reconsidered their major because of AI. Among community college students, the figure rises to 56%, with one in six students already changing majors or career paths.

Meanwhile, entry-level hiring has sharply contracted. Since January 2023, entry-level job postings have fallen approximately 35%, with some tech and data roles down as much as 67%. The Federal Reserve Bank of New York reports unemployment among recent college graduates at 5.6%, nearly double the rate for all college-educated workers.

Sosnoff emphasizes that the occupations students trained for—software, finance, analysis—are exactly the ones most exposed to AI disruption. However, he notes that AI is simultaneously the threat and the fast pass out: workers with demonstrated AI skills are already seeing stronger outcomes.

A key structural issue is the wage asymmetry between employers and job seekers. Employers use sophisticated compensation benchmarking, while most graduates negotiate with little more than Google searches and guesswork. Sosnoff argues that this imbalance is embedded in how labor markets function.

To address this, Lossdog has developed a platform that calculates individualized labor-market value using real-time Bureau of Labor Statistics data. The goal is to give candidates access to the same market intelligence employers already have.

Key insights for job seekers:

• Understand how the market prices your skills, credentials, geography, and experience.
• Negotiate with data instead of uncertainty.
• Focus on skills that are resistant to automation and increase earning potential.