Consulting, once a guaranteed pathway to elite careers, is undergoing a profound transformation driven by artificial intelligence. Firms like McKinsey, BCG, and Bain, which spent decades marketing themselves as production houses of excellence, are now seeing their value proposition erode as AI reshapes the work of junior analysts.
The Golden Ticket Fades
Historically, a stint at a top consulting firm was a golden ticket. Endure two challenging, formative years, and in return, gain entry to an elite network and coveted exit opportunities. McKinsey, known as the 'CEO factory,' consistently ranked as the best place for future leaders. The skills promised—synthesis, sharp analysis, crisp communication, and hypothesis-driven thinking—attracted top graduates. An offer from such a firm was considered a clear guarantee of future success.
However, that promise no longer holds in the age of AI. According to Zain Mobarik, a former consultant, analysts are 'either using AI for their own efficiency or being told to.' Another former consultant, speaking anonymously, recalled a first-year analyst asking for help. When she offered coaching, he corrected her: 'No, could you just send me the prompts to put into AI?' His output gleamed well beyond his experience level.
The Apprenticeship Model Under Threat
The traditional apprenticeship model, where analysts learned by owning their own corner of knowledge, is being dismantled. Romil Depala, a former analyst now at a London-based PE fund, noted: 'The business analyst programme was the best possible training ground in existence 10 years ago.' Analysts would dive deep into client work, build financial models, and present findings. Progression depended on ownership and hands-on learning.
Now, execution lies mainly with AI. Tools like BCG's Deckster, Bain's Sage, and McKinsey's Lilli—which answers over 500,000 prompts each month—have reduced entry-level roles to fact-checking. The skills analysts used to build, such as developing frameworks and creative ideation, are becoming redundant. A question mark hangs over the entire apprenticeship model; it is unclear how juniors will develop the competencies that once defined consulting excellence.
Firm Leaders Spin the Narrative
Firm leaders frame this shift as accelerating junior colleagues' careers. A senior partner told Bloomberg: 'They’re just going to be doing things that are more valuable to our clients.' But this is spin. Firms are trimming workforces and freezing salaries, while promoting AI-fluent, high-churn employees who fit the new business model. Clients, driven by fear and opportunity, demand multi-year AI transformations requiring 'deep implementation expertise.' This has led to a service-as-software model, where firms race to partner with frontier AI companies to survive.
For junior staff, this translates to arduous, incremental work with compressed delivery times and fixed fees tied to deliverables—an unenriching AI slog that leaves little room for learning.
Changing Recruitment and Skills
The type of people firms recruit is shifting. Final-round interviews may now include using internal AI to produce output. While publicly championing EQ and creativity, firms are clearly seeking 'churners' over thinkers—analysts who can run multiple agents to pluck IP from existing assets quickly. The role that once offered unparalleled growth has become an accelerated plug-and-play. As one observer put it, the workforce now comprises '40,000 humans (complemented by) 20,000 agents.'
The exit options, once the whole point of the consultancy contract, are also shrinking. White-collar work is at risk across the board. Mobarik described an 'inner circle of high-performers,' but now there is 'a pool of 300 analysts going for the same five jobs.' The pathway to elite firms has broken as roles dry up. The consulting-to-startup ramp makes less sense than ever: AI has eroded the grind and competencies those exits depended on, and spending two years incubating means missing the rush entirely. The skills that now matter are split: technical skills like deploying a full stack are best learned by building AI itself, while human skills like empathy are better developed in public service.
Where Does This Leave Graduates?
The machine that mass-produced capable generalists is being dismantled quicker than anything replacing it. Nobody, including the firms, knows what comes next. Where the next generation of leaders will be made is now up for grabs.
