Future of Work
Voices shaping how organisations adapt to automation, hybrid models and shifting expectations of work
Most organisations describe talent as a strategic priority, then run hiring processes that select for sameness and call it merit. Engagement scores fall, attrition climbs, and the workforce that arrives looks nothing like the one the strategy assumed. The pressure now is to make recruitment, inclusion and engagement actually deliver against business plans, not against quarterly HR dashboards.
Productivity has not recovered. Engagement scores have flatlined, HR technology budgets have grown, and yet the link between what people do and what the business produces has weakened. The question for the people function is no longer whether to invest in workforce experience, analytics or AI, but how to connect those investments to measurable performance.
Most large organisations have run AI pilots. Very few have moved them into operating reality. The gap is rarely about the technology. It is about governance, internal capability, legacy stacks and the absence of senior leaders who can credibly translate AI from a vendor pitch into a portfolio of operational bets.
Most large organisations admire start-ups and fail to learn from them. The instincts that produce growth in a small team get diluted by process the moment a company tries to scale, and boards rarely hear the founder view in language they can act on. The harder question is what executive teams should actually copy, and what they should leave alone.
Five generations now share offices, customer bases, and management lines. Each was shaped by a different economy, a different technology stack, and a different idea of what work is for. Leaders are being asked to engage all of them at once, and the old playbook assumes one workforce, not five.
Most senior leaders inherit organisations that talk fluently about culture and inclusion and deliver very little of either. The board wants growth, the workforce wants meaning, and the gap between the two has widened since the pandemic. Leaders need someone who has closed that gap inside a FTSE-scale business, with the numbers to prove it.
Five generations share most workplaces for the first time in history. A management playbook built for an earlier era, rooted in hierarchy and productivity, no longer fits what younger talent expects or creative work requires. Executives name innovation and engagement as top priorities; the gap between stated ambition and actual output keeps widening.
Most boards have signed off on AI strategies they cannot fully explain to their own people. The gap is not technical, it is translational: senior teams need a clear read on what the technology can already do, what is still hype, and which decisions cannot wait. Without that clarity, AI investment becomes a portfolio of pilots rather than a source of advantage.
Mid-market banks and regional financial institutions are losing the talent contest before they get to the strategy contest. Their leadership culture was built for a stable industry that no longer exists, and their employer brand still speaks to a workforce that has moved on. The work is rebuilding both at the same time, while the core business is also being redesigned.
Working parents are the population most likely to leave in the two years around having a child, and employers lose them at the exact point they are most expensive to replace. The problem is rarely the policy. It is the collapse in confidence, identity and sense of belonging that parental leave triggers, which no enhanced benefit on its own repairs.
Attention is degrading inside organisations and the usual wellbeing programmes are not stopping it. Smartphone reflex, screen saturation, and chronic dopamine spikes are quietly reshaping how people focus, recover, and connect with colleagues. Leaders see the symptoms in productivity, engagement, and mental health metrics; they need an explanation that holds up scientifically and a set of habits people will actually adopt.
Most strategy processes are built for a stable horizon. They forecast from the recent past and break down when the underlying drivers, AI capability, energy systems, demographics, shift faster than the cycle they were designed to track. Leaders need a way to think rigorously about what is actually changing, ten and twenty years out, without sliding into either denial or hype.