Young AI Specialists Are Outpacing the Entry-Level Job Market

Entry-level hiring is weak across much of the job market, but young workers with machine-learning experience are finding a markedly different path. Some are securing high salaries and fast promotions, with a small number receiving compensation packages that can reach seven figures.

New college graduates faced a 4.8% unemployment rate in June, compared with 4% for all workers, according to the Federal Reserve Bank of New York (https://www.newyorkfed.org). Against that backdrop, a Burtch Works (https://www.burtchworks.com) report analyzing compensation for thousands of AI and data-science candidates found that base salaries for nonmanagerial AI workers with zero to three years of experience rose about 12% from 2024 to 2025—the largest increase among the experience groups it tracked.

The report also found that AI workers are moving into management roughly twice as quickly as peers in other technology fields. Their advancement appears tied less to tenure than to the scarcity of their skills and the impact they can make, though the findings describe a specialized slice of the labor market rather than a broad recovery in entry-level employment.

Employers are adjusting their recruiting strategies. Databricks (https://www.databricks.com) plans to triple its hiring of recent graduates, with CEO Ali Ghodsi (https://en.wikipedia.org/wiki/Ali_Ghodsi) pointing to their familiarity with AI tools. The company lists base salaries of $190,000 to $260,000 for generative-AI research scientists with as little as two years of experience. Stock grants can lift total compensation substantially, and Ghodsi says some employees under 25 can earn $1 million.

Demand extends beyond research roles. Stanford (https://www.stanford.edu) computer-science professor Jure Leskovec (https://cs.stanford.edu/people/jure/) says some Ph.D. students leave their programs early after producing effective research and receiving offers from companies. He also sees a widening gap between conventional programmers and workers who can use AI to learn and work more effectively. That distinction suggests employers are rewarding both deep technical research and practical fluency with AI tools.

Compensation data from Levels.fyi (https://www.levels.fyi) includes 42 user-submitted offers above $1 million from AI companies. Nine recipients had fewer than 10 years of corporate experience, although some may have held Ph.D.s. The figure is not a measure of typical pay: it reflects submitted offers, while unusually large packages often combine salary, equity and other compensation.

Scale AI (https://scale.com) says about 15% of its employees are under 25, and recent graduates can receive base salaries around $200,000. At CTGT (https://ctgt.ai), an AI safety and enterprise-risk startup, co-founder Cyril Gorlla says the average employee is 21; some employees’ equity is now worth about $500,000. Those examples illustrate how early-career AI workers can participate in the value of young companies, but equity estimates are not the same as cash compensation.

The market is not equally open to every young applicant. Carnegie Mellon (https://www.cmu.edu) graduate Lily Ma applied to 30 to 40 jobs and found that research experience helped her secure interviews before joining Scale AI. For companies, the competition is pushing hiring decisions toward demonstrated AI ability and measurable contribution. Whether that premium persists will depend on demand for specialized talent—and on how widely useful AI skills spread across the workforce.

Cited: https://www.wsj.com/tech/ai/ai-jobs-entry-level-salary-ab2a11c0?st=9xTfQa

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