ADP chief has warned that the real debate about artificial intelligence and employment should move beyond which roles might disappear to how organisations can ready their people for the next wave of change. Speaking at a recent forum, the executive highlighted that AI is redefining work itself, creating new task-based roles and shifting expectations across sectors.
AI reshaping work, not eliminating jobs
From the payroll data that ADP processes for roughly one in six workers in the United States and more than a million businesses worldwide, the picture is one of stability rather than mass layoffs. The company pays the wages of around 42 million employees, giving it a unique view of labour-market trends. While headlines often focus on jobs that could be automated, the data shows that AI is primarily altering how work is performed at the task level.
Data from ADP's payroll reveals nuanced impacts
Collaboration with the Stanford Digital Economy Lab provides a real-time lens on occupational shifts. Early-career workers aged 22 to 25 in occupations most exposed to automation, such as software development and customer service, have seen modest employment declines. By contrast, more experienced staff in the same fields, and workers of all ages in roles less vulnerable to AI, like home-healthcare aides, have maintained or grown their numbers.
These patterns point to what the chief calls "the great job unbundling". AI is taking over routine, checklist-type tasks, freeing employees to focus on higher-value activities that require judgement, creativity and strategic thinking. The wage premium attached to specific tasks is moving in real time, prompting leaders to rethink skills development and compensation structures.
Key shifts for leaders
Three trends emerge from the analysis. First, investment in employee development drives engagement: 53 % of workers feel fully engaged when they strongly agree their employer is investing in them, compared with just 12 % when they do not. Second, as AI handles more procedural work, human judgement becomes the differentiator, reshaping performance metrics away from simple speed or efficiency. Third, employees who use AI daily are more than twice as likely to be fully engaged, 30 % versus 14 %, and half as likely to report stress or overload.
Looking ahead
The chief argues that organisations that treat AI as a teammate rather than a threat will emerge stronger. By helping staff understand how their roles are evolving and providing the necessary upskilling, companies can boost productivity while preserving the uniquely human elements of work. The message is clear: the workforce is shifting, not shrinking, and data-driven strategies are essential to navigate the next phase of AI-enabled work.