With more business AI options emerging, leading UK technology consultancy urges an approach that prioritises people rather than replace them with automated tools.
With the UK’s Big Four accountancy firms – Deloitte, EY, KPMG and PwC – significantly increasing adoption of generative AI to automate the entry-level administrative tasks, graduate job intake is seeing the chop with cuts as high as 29% in some firms. Driven by a post-pandemic consulting slump and the need for cost-cutting measures, firms are reducing hiring and capitalising on the boom in AI to meet growing client demand.
This strategic shift may align with UK government goals of becoming a global AI hub, with projections suggesting AI could add £200bn to the economy. However, firms face the challenge of low public trust in AI, and the battle of whether AI tools are mature enough to fully replace talent in any capacity.
Jon Bance, chief operating officer at Leading Resolutions, believes that resource augmentation is a key part of an innovative consultancy approach, but AI tools should not be wholly used to replace talent, even for entry-level tasks.
“Graduate roles are intended to be necessary training for the industry professionals of tomorrow. Replacing them entirely with AI tools may be a short-term fix and efficiency burst, but ultimately damaging to the industry long-term, as talent is no longer gaining experience.
“Whilst the UK is leading the charge when it comes to the goal of becoming a global AI hub, this AI-focused approach cannot ignore the fact that we are also a global leading exporter of quality management and technology consultancy. It is in our best national interests to ensure that we don’t sabotage our talent, not just today’s talent, but also the talent of the future, by choosing to replace them with AI bots for cost-cutting, ease or laziness.”
Jon continues: “As AI continues to drastically reshape the technology landscape, headlines often focus on job displacement and the automation of teams. The reality is far more nuanced. AI is not replacing people; it’s redefining how they work, accelerating existing teams. When it comes to the makeup of delivery teams, especially in software engineering and development, AI can generate clean, functional code faster than ever.
“This is especially impactful in more repetitive or templated development tasks, yet still critically requires human oversight, strategic thinking and wider contextual understanding. Much like the automation wave of the last decade, AI is taking on repeatable, rules-based tasks. This frees up skilled professionals to focus on higher-value work such as design, strategy, stakeholder engagement, and innovation.”
Jon highlights that the best team approach will focus on resource augmentation rather than replacement, and that AI cannot be a complete replacement from graduate roles for the future of the industry.
“We see agentic AI as a smart partner, offering suggestions, surfacing insights, and proposing next steps. But the human remains in control, making the final decisions and applying judgment. It’s one component of the broader delivery model, with the best outcomes coming from teams blending AI tools with human expertise, empathy and domain knowledge.”
“However, where these firms are making critical errors is through axing their entry-level teams to shore up wider inadequacies. Training the teams of the future is a massive responsibility for the leaders of the present, and so turning to AI to preserve seven-figure partner payouts ultimately doesn’t address the issue.
“AI plays a part in helping grad roles but is by no means their replacement. Bringing in new and future talent, alongside adequate training to maximise value from the technology of today and tomorrow, is the best course of action to create the most impact from your teams.
Jon concludes by speaking on AI in consultancy approaches a whole: “A human-led approach cannot be replicated or surpassed by AI. Consultancy at its core relies on building that human connection with clients, and an empathy-led approach needs that relationship to flourish to get the most from that relationship. An AI tool simply cannot replicate that, and thus the result is purely sabotaging the operational teams of the future for short-term benefits in the present.”