AI is undermining summer internships. The entry-level pathway that shaped careers is faltering.

      TL;DR: Tech internship listings have decreased by 30% since 2023, as AI takes over tasks previously assigned to interns. The entry-level job pipeline is deteriorating.

      Katelyn Watterson attributes her career success to a summer internship. While studying at American University, she interned at a luxury beauty company in New York, where her boss offered her a full-time position during drinks at the Plaza Hotel. Nearly twenty years later, Watterson leads her own marketing agency, Fifty Six, and has occasionally supervised as many as eight interns, enjoying the opportunity to mentor them and help them advance.

      However, with the arrival of AI, the time she used to spend monitoring unfinished tasks and teaching students the basics of professionalism began to accumulate. At the same time, AI became capable of completing more of the tasks she used to assign to interns, and more efficiently. According to Bloomberg, Watterson’s experience is becoming increasingly common.

      Data supports this trend. An annual survey from Drexel University indicates a rising number of companies are reducing their internship programs, while those expanding them are declining. Tech internship listings have plummeted by 30% since 2023. Currently, only 7% of new employees at major tech firms are recent graduates, down from 9.3% in the prior year. Internships have seen an 11% year-on-year decline. The traditional model, where students perform basic tasks in exchange for experience and the chance of a full-time job, is failing as AI takes on these repetitive roles.

      The economic reasoning is clear. Interns consume time, guidance, and management resources, whereas AI incurs only token costs. When tasks are repetitive, low-stakes, and structured, the cost comparison heavily favors AI. Research, data input, scheduling, first-draft writing, and basic analysis—once the core of internship programs—are now tasks suited for ChatGPT.

      Salesforce reduced its support staff from 9,000 to 5,000 after employing AI agents, and car manufacturers in Detroit cut 20,000 white-collar jobs while creating new AI positions. This trend, where companies replace humans with AI for routine tasks, has now reached entry-level jobs.

      Ironically, AI is making internships both less needed and more valuable. Firms require fewer interns for simple tasks, but those who are hired must now be proficient in AI, a skill previous generations didn't need.

      McKinsey assesses prospective candidates on their ability to work with their AI assistant, Lilli, with 25,000 AI agents assisting 60,000 employees. To prepare candidates for evaluations that examine their collaboration with AI, the firm has introduced a free AI practice tool.

      AWS CEO Matt Garman believes that replacing junior employees with AI is “one of the dumbest ideas” a company can pursue. He argues that junior workers tend to be the most skilled users of AI, having adapted to these tools throughout their education. The 2025 Stack Overflow Developer Survey found that 55.5% of early-career developers use AI tools daily, a higher percentage than their senior peers.

      On the contrary, some argue that AI fluency without domain knowledge leads to workers who can create prompts but struggle to assess the output. Researchers refer to this as the “Editor Problem,” where a generation can generate content with AI but lacks the discernment to identify when the content is erroneous. This ability typically developed during internships.

      The AI job market is thriving at senior levels, with postings for forward-deployed engineers increasing 19-fold year on year. Claude Evangelists can earn $240,000, while Chief AI Officers command nearly $500,000. The roles created by AI tend to offer higher salaries and require greater experience than the entry-level jobs they replace.

      Some companies are transitioning to apprenticeships as a substitute for internships. For instance, Accenture now covers 20% of its entry-level hires through apprenticeship programs. IBM and Microsoft have expanded initiatives that emphasize skill verification over degree credentials. While apprenticeships provide longer, more structured training than summer internships, they also require a greater corporate commitment.

      A critical question remains: what becomes of the career pipeline when entry-level positions vanish? Watterson's successful marketing career began because of a summer job. If such roles are now taken over by AI, prospective candidates lose the chance for defining moments, instead receiving automated rejection emails generated by systems trained on résumés from those with internship experiences.

      The entry-level pipeline that has historically launched millions of careers isn't crumbling overnight. It is being compressed from both ends: there are fewer positions available while expectations for candidates continue to rise. AI is both the reason and the required qualification; the very tool that replaces interns is now the skill that incoming interns must possess.