Artificial intelligence and robotics have the potential to automate more than half of all work in the United States using existing technology, according to a new report from the McKinsey Global Institute.
The study, titled Agents, Robots and Us, estimates that 57% of U.S. work hours could be automated today if companies redesigned workflows around AI and robotic capabilities. Nearly half of all American jobs fall within occupations that face significant disruption from automation, the report finds.
Roles most at risk include tasks involving drafting, information processing, and routine reasoning, which AI systems already perform efficiently. Hiring in fields such as paralegal work, office administration, and some programming positions has slowed as businesses explore the extent to which AI could absorb large portions of their workload.
Physical roles in hazardous environments are also vulnerable. Warehouse operations, machinery handling, and other tasks in risky settings are likely to be replaced by robots as technology adoption costs decline and safety considerations grow.
However, the report identifies roughly one-third of jobs as difficult to automate because they rely on human qualities such as empathy, judgment, and dexterity. Nursing, social care, and maintenance roles are among the safest professions, requiring physical presence, compassionate decision-making, and adaptability that machines cannot easily replicate.
McKinsey highlights that the main barrier to widespread automation is not technology but policy, investment, and organizational willingness to redesign workflows rather than automate piecemeal tasks. The report projects that such a transformation could generate $2.9 trillion annually in economic value by 2030.
The future described by McKinsey emphasizes collaboration between humans and AI. Workers would spend less time on routine document preparation and data processing, shifting focus to interpreting AI outputs, guiding automated systems, and making higher-level judgments. In education, for instance, AI could handle administrative tasks and lesson planning, allowing teachers to concentrate on instruction and evaluation.
The report also notes that while some jobs may disappear, new roles will emerge, including AI product managers, system trainers, safety specialists, and engineers tasked with supervising automated tools. Evidence of this shift is already visible. Fintech company Klarna reports revenue growth without expanding headcount due to AI integration, while law firm Clifford Chance and telecoms provider BT have announced job reductions linked to automation.
Younger workers appear particularly exposed. A Stanford study found that employees aged 22–25 in AI-intensive occupations have seen a 13% decline in employment, whereas more experienced workers have not faced comparable displacement.
McKinsey’s findings align with previous analyses, including Microsoft’s report, which identified translators, sales representatives, and financial advisers as among the first to experience AI disruption, while nurses, plumbers, ship engineers, and water treatment operators remain relatively insulated.
The report underscores the scale of the change ahead, suggesting that companies, policymakers, and workers must adapt quickly to a workplace increasingly shaped by AI and robotics.
