Last updated: 10 October 2026 Direct answer: Why some employees thrive through AI transformation while others struggle comes down to one factor more than any other: whether they can see a clear path for their own career inside it. At Gartner's HR Symposium/Xpo in London (6–9 October), only 35% of employees currently have that clarity, yet those who do are 3.5 times more likely to be highly engaged and 3.4 times more likely to be high performers than those who don't. That gap

AI lets people finish work in a fraction of the time, but instead of being rewarded, research shows they're hiding it. From BCG's productivity trials to law firms quietly billing by outcome instead of the hour, this piece unpacks new evidence on concealed productivity, performative busyness, and why outcome-based pricing and reduced-hours models are becoming the credible alternative.

Time-based pay, whether it's a lawyer's six-minute billing unit or a salaried employee's fixed 9-to-5, was never designed to measure the value of what someone produces. It was designed to make cost and effort visible to an employer or client, at a moment when there was no better proxy available. That proxy has always disadvantaged anyone without unlimited discretionary time, most consistently women carrying a disproportionate share of unpaid care. Is it time to rethink - or p