Mid-level proficient workers are becoming increasingly difficult for employers to recruit, with 58% of them reporting this struggle.
In the UK, the impact of Artificial Intelligence (AI) and automation on entry-level job opportunities is significant. Since the widespread adoption of AI tools like ChatGPT in late 2022, entry-level roles have decreased by about one-third [1][2]. This trend is reflected in the declining job postings across the UK, with a 31% drop in the period leading up to May 2025 compared to 2022 [2].
Junior roles, apprenticeships, and internships, particularly in tech, consulting, programming, and design sectors, have been hardest hit [1]. This decline reflects the automation of routine tasks and cost-cutting measures by employers as they integrate AI [2].
The future looks challenging for many traditional entry-level jobs such as data entry, basic customer service, and tier 1 call centre roles, which face high risks of automation and reduction due to AI capabilities [3][4]. However, this disruption might also create opportunities for entry-level workers to focus on more complex and technical tasks, requiring new skills in AI, data science, machine learning, and related tech fields [4].
As AI takes over repetitive and low-skill tasks, workforce development will likely emphasize upskilling and reskilling, encouraging workers to acquire more specialized expertise to remain relevant [3]. Current research from Robert Walters indicates a sustained decline in graduate and entry-level recruitment is contributing to hiring challenges [5].
Businesses are losing a key stage in building their teams due to the lack of entry-level roles [6]. Chris Eldridge, CEO of Robert Walters UK&I, comments that large-scale cuts to entry-level and graduate intakes can lead to inflated future costs and jeopardise the health of talent pools [7].
Jessica Holt warns that with fewer people progressing up the career ladder, organisations are finding themselves competing for a smaller pool of experienced hires [8]. Organisations are now experiencing increased competition and costs for mid-level talent due to fewer professionals entering the workforce at the early career stage.
This trend isn't new, with 2022 offering a clear example of the issues that can arise [9]. Chris Eldridge suggests adopting a holistic approach that prioritizes long-term workforce development, targeted upskilling, and the application of AI alongside human insights [7].
The UK risks falling behind in developing sectors like green energy and advanced technology due to the lack of entry-level roles [10]. It is crucial for businesses and policymakers to consider the long-term implications of AI and automation on the workforce and take steps to ensure a skilled and adaptable workforce for the future.
References: 1. Adzuna, 2025 2. Robert Walters, 2025 3. McKinsey & Company, 2020 4. World Economic Forum, 2020 5. Robert Walters, 2025 6. BBC News, 2025 7. Robert Walters, 2025 8. Robert Walters, 2025 9. Robert Walters, 2025 10. Tech Nation, 2021
- As businesses invest in AI and automation, there may be a shift in the education-and-self-development sector towards programs focusing on AI, data science, machine learning, and related tech fields, to equip entry-level workers with the necessary skills to adapt to the changing landscape of the workforce.
- In the face of declining entry-level roles in various sectors, including tech, consulting, programming, and design, due to AI and automation, finance and business sectors may find it challenging to grow their workforce for long-term success and development, potentially impacting their overall performance and competitiveness.
