Juniors once performed the basic analytical work underpinning the towering pyramids of accounting, consulting, and law firms. Today, AI is replacing them. Whilst this may yield short-term efficiency gains, the strategy is not sustainable.  

From ultra-specialists to transformation leaders 

Historically, firms promoted not the best leaders, but the best technicians. After entering, a young professional followed a linear career furrow. Junior consultant to manager. Senior manager to director, then partner and onward. The lucky ones were even handed a client portfolio, abnegating the need for business development. 

This yielded cohorts of ultra-narrow specialists. That was where the value lay. But today, AI knows more than they do. Of course, when it comes to asking AI the right questions and supervising its output, broad specialist expertise and critical sense remain vital. But an ultra-specialist is like an orthopedic surgeon who fails to consider that a painful leg could be a neurological problem.  

It is time for a new leadership model: from narrow silos to a broader, cross-disciplinary view. An accountant must link valuation, tax and financial reporting. A lawyer must link his/her practice with the client’s business strategy. It’s about serving clients holistically to drive change, applying ‘connected, forward thinking’. Yet when partners plow their own furrow, stagnation replaces innovation. On the wall of one of my more enlightened clients you’ll find the slogan: “The more we use AI, the more we need EQ.”  

The real disruption: a leadership and capability gap 

AI amplifies strengths as well as weaknesses. It accelerates insight, but also error. Productivity, but also mediocrity. Output, but not accountability. Without human judgment, firms face reputational damage, governance failures and the erosion of client trust. The issue is no longer efficiency, but credibility.  

Teaching the next generation when AI seems to know it all. 

Firms face two existential problems. Firstly, culling the next generation of leaders ‘because we have AI’. Secondly, any new gens they do recruit may lack critical thinking: the academic performance of digitally raised younger students is in decline,ⁱ and a third won’t pursue higher education.ii Professional services firms will need to take up the slack. Preserving the human advantage means rethinking hiring strategy, career planning and professional development. If you no longer hire juniors, who will be tomorrow’s leaders?   

The AI leadership gap: why senior professionals are behind 

The partner of a firm who is leading its global AI initiatives recently shared a two-horned problem with me. The firm is dismissing juniors ‘because we have AI’. Yet few of its partners know how to use it, and ignore their training. Meanwhile, juniors - the very people firms are firing - are AI power users. How we can we resolve the paradox? Major law firms are pioneers: their first AI model was born in 2022, with ChatGPT. Some train juniors in AI from day one. Others test recruits in (mandatory) AI-proficiency.  

Mutual mentoring: the missing piece in AI transformation 

Juniors possess AI fluency and curiosity. But they often take AI outputs at face value and lack the experience to detect hallucinations or flawed reasoning. Seniors possess critical sense and strategic judgment. Organizations need both. Good news: one AI adoption model can deliver the best of these worlds, and restore some value eroded by AI. This is mutual mentoring – systemic two-way exchanges between generations and positions. A model where juniors and seniors each contribute their skillsets. 

This is not a cultural “nice-to-have”. It is a capability system. It fosters learning, EQ, and builds bridges.