AI’s impact on entry-level jobs is becoming a pressing issue, particularly for young individuals entering the workforce. The debate surrounding artificial intelligence often revolves around its potential to either eliminate jobs or create new opportunities. However, recent findings indicate that AI is increasingly making young people unemployable, with significant consequences for their career prospects.
Declining Opportunities for Young Workers
The latest edition of the Stanford Human-Centred Artificial Intelligence (HAI) index highlights a troubling trend: AI is beginning to destroy entry-level jobs. These roles, often seen as the foundation for gaining experience, are being eroded by advancements in technology. By September 2025, employment among US software developers aged 22 to 25 is projected to have fallen nearly 20 per cent from its peak in 2022, while older age groups continue to see employment growth. Furthermore, within the most AI-exposed occupations, employment for this younger cohort has decreased by around 16 per cent compared to those in positions less affected by AI.
Corporate Perspectives on AI and Workforce Size
A survey conducted by McKinsey reveals that 30 per cent of organisations anticipate a decrease in workforce size due to AI advancements over the next year. This expectation rises to 35 per cent among companies with revenues exceeding $1 billion. Although the HAI report suggests that we are not facing a widespread unemployment crisis, it raises critical questions about the long-term health of the labour market, particularly regarding its apprenticeship systems.
The Consequences of AI on Entry-Level Positions
The rise of AI in the workplace introduces three significant challenges for the entry-level job market. Firstly, with AI efficiently handling repetitive tasks associated with junior roles, young individuals are finding it increasingly difficult to secure employment. The HAI index indicates that productivity gains are most pronounced in structured, measurable work, with reported improvements of 14 to 15 per cent in customer support roles, 26 per cent in software development, and an astonishing 50 per cent in marketing output. As firms strive to reduce costs, entry-level positions become the first target for efficiency gains, leading to a concerning displacement of young workers.
The Skill Gap: Juniors Cannot Become Seniors
The second challenge lies in the long-term implications of this displacement. Without the opportunity to begin in entry-level roles, young workers cannot progress to senior positions. The workplace serves as a critical environment where inexperienced employees develop the skills necessary to advance their careers. If AI disrupts this conversion process, the pipeline for expertise may be severely damaged. For instance, in the realm of coding, AI’s ability to code faster and more efficiently could diminish the need for entry-level programming graduates, ultimately jeopardising the development of future talent.
AI’s Growing Demand for Experienced Workers
The third challenge is that while AI may lessen the availability of entry-level jobs, it simultaneously increases the demand for experienced professionals. The HAI report refers to this phenomenon as a “jagged frontier,” highlighting the unpredictable nature of progress in the field of AI. Although AI systems like Gemini Deep Think have made impressive strides, they still struggle with basic tasks, such as correctly reading analogue clocks only 50.1 per cent of the time. Furthermore, AI agents in benchmarking environments show a task success rate of around 66 per cent, indicating that there is still a significant need for human oversight.
Long-Term Implications for the Labour Market
As AI technology continues to evolve, the labour market risks becoming increasingly polarised. There may be a growing divide between high-demand, experienced roles and a shrinking pool of entry-level positions. This situation creates a barbell effect, characterised by a scarcity of mid-level jobs, which are crucial for career progression. The challenge lies in ensuring that the workforce has adequate opportunities to gain experience and develop expertise in a rapidly changing job landscape.
Rethinking Entry-Level Jobs as Essential Infrastructure
In light of these challenges, it is essential to rethink the approach to entry-level jobs. Rather than viewing these roles as mere costs to be minimised, companies should consider them as vital infrastructure for the future workforce. This perspective involves measuring not only output per employee but also the expertise developed within the organisation over time. By prioritising the creation of a skilled workforce, companies can ensure that they are not only maximising efficiency but also securing a sustainable talent pipeline.
Balancing Efficiency with On-the-Job Training
If AI can alleviate mundane tasks, it presents an opportunity for enhancing productivity. However, conflating the elimination of repetitive tasks with the removal of on-the-job training could lead to a shortage of skilled professionals in the future. The demand for talent will always exist, and companies that invest in training and mentoring junior employees will ultimately reap the benefits of a well-prepared workforce.
As artificial intelligence continues to shape the job market, it is crucial to strike a balance between leveraging technological advancements and nurturing the next generation of skilled workers. The future of work depends on our ability to adapt and innovate while safeguarding the foundational roles that enable young people to thrive.
