AI’s Uneven Impact: Why Young Workers Face a Broken Career Ladder

For decades, the path into a professional career followed a familiar route: land an entry-level role, work hard, accumulate experience, and climb the ladder. Artificial intelligence is dismantling that pathway—and a modern Federal Reserve study confirms that the disruption is not hitting everyone equally. While fresh graduates and young workers are finding fewer doors open to them, experienced professionals are watching their salaries surge.

Two Types of Knowledge—and Why It Changes Everything

The Federal Reserve Bank of Dallas research highlights a critical distinction between two types of workplace knowledge: codified knowledge—found in textbooks and training manuals—and tacit knowledge—the accumulated judgment and instinct from real-world experience.

AI excels at codified knowledge, processing information and performing structured tasks with accuracy. However, it currently struggles to replicate the nuanced judgment of experienced professionals. This divide is reshaping rewards and opportunities.

Entry-level workers primarily bring codified knowledge, which AI can now replicate. Experienced workers bring tacit knowledge, which AI cannot easily replace, directly impacting wages and hiring.

The Numbers Behind the Divide

Since the launch of ChatGPT in late 2022, average weekly wages in the U.S. Have grown by around 7.5 percent. In the computer systems design sector, wages have risen by 16.7 percent. Across the top ten percent of AI-exposed industries, wage growth has averaged 8.5 percent .

However, the picture is different for young workers. Those aged 22 to 25 in AI-exposed roles have seen employment fall by 16 percent since late 2022, while older colleagues remain relatively stable. In software development, junior developers aged 22 to 25 experienced a 20 percent decline in employment compared to late 2022 . U.S. Companies adopting AI have reduced junior hiring by around 13 percent .

Entry-level job postings requiring zero to two years of experience have dropped by 29 percentage points. More than 60 percent of entry-level roles in the software and IT sectors now require three or more years of experience .

The Career Ladder Is Breaking

The traditional entry-level job, once a stepping stone to career advancement, is becoming harder to secure. The rise of AI is reshaping how organizations grow talent from within. SignalFire, a venture capital firm, found a 50 percent decline in new role starts for people with less than one year of post-graduate experience between 2019 and 2024, across sales, marketing, engineering, operations, finance, and legal .

Which Experienced Workers Are Winning the Most?

Occupations with the highest experience premiums are also seeing the fastest wage growth. These include:

• Lawyers and legal professionals: AI augments research and drafting, but senior judgment remains crucial.
• Insurance underwriters and credit analysts: Complex risk assessment based on years of experience commands growing premiums.
• Marketing specialists: Strategic brand thinking and client relationships are amplified by AI tools.
• Senior software engineers: Those who understand system architecture and business context are seeing wages soar.
• Healthcare professionals: Clinical experience and patient judgment remain essential.

Roles with similar codifiable tasks at all seniority levels—like fast-food preparation—are experiencing negative wage growth as AI can substitute for workers at every level.

The Warning From the Top

Dario Amodei, CEO of Anthropic, predicted in 2025 that AI could eliminate roughly 50 percent of all entry-level white-collar jobs within five years . Roughly 32,000 job losses were recorded in technology firms in the first two months of 2026. In 2025, nearly 55,000 job cuts were directly attributed to AI .

Is There a Long-Term Silver Lining?

Some experts believe the impact of AI on employment will be mild and short-lived. Historically, transformative technologies have taken decades to generate large-scale employment effects. Goldman Sachs Research projects unemployment may rise by around 0.5 percent during the transition . “AI Apprenticeships” are emerging, where junior workers apply AI tools to perform at a higher capacity.

What New Graduates and Young Workers Should Do Now

• Master AI tools: Become proficient with tools like ChatGPT and Copilot.
• Build experience: Seek internships, freelance projects, or volunteer work.
• Target resilient sectors: Focus on healthcare, skilled trades, government, and physical services.
• Specialize: Develop niche expertise in areas like AI ethics or cybersecurity.
• Consider experience premiums: Choose career paths where experience significantly increases earning potential.

The era of AI is accelerating a divide between those valued for their knowledge and those valued for their experience. For experienced workers with tacit knowledge, AI is an amplifier. For entry-level workers, AI is a formidable competitor. The career ladder remains, but the first rung is now much harder to reach.

Sources: Dallas Federal Reserve Bank – AI & Labour Market Study (2026) | SignalFire Venture Capital Entry-Level Hiring Report | DesignRush AI Job Displacement Statistics 2026 | Cornell University AI Hiring Impact Study | Goldman Sachs Future of Work Research | Anthropic CEO Dario Amodei Congressional Testimony 2025 | NACE Class of 2026 Graduate Employment Report | Challenger, Gray & Christmas Layoff Tracker 2025