Business Schools Adapt as AI Drives "Seniorisation" of Entry-Level Roles

Students from elite business schools are struggling to find jobs as companies reduce headcount and reconfigure entry-level roles because of economic uncertainty or disruption from AI. [1] Björn Ambos, dean of the school of management at St Gallen, noted that where consultancies previously recruited for five or six roles, they now hire two people plus algorithms. [1]

Employers are offering a smaller number of entry-level positions and showing greater demand for recruits with tier two skills that would previously have been acquired at work. [1] This process has been dubbed seniorisation and was highlighted in PwC’s Global AI Jobs Barometer. [1] Educators are rethinking their courses to better prepare recruits for these changing workplaces. [1]

The integration of algorithms into traditional entry-level workflows is structurally altering the early-career pipeline, particularly in sought-after fields like management consultancy. As firms rely on AI to handle tasks previously assigned to junior staff, graduates face heightened expectations to deliver advanced value immediately. This shift places the burden of practical skill development squarely on educational institutions rather than employers, fundamentally changing the value proposition of a business degree. What the sources don't address: How this expectation for advanced "tier two" skills will impact entry-level salary bands for the fewer graduates who do successfully secure these elevated roles.