A new study examining real-world use of Microsoft’s Copilot tool reveals that the next wave of automation will hit white-collar roles hardest, with 40 occupations identified as being at the highest risk of AI disruption.
Researchers analysed data from millions of Copilot interactions to rank jobs based on an “applicability score”, which measures how effectively AI can carry out key tasks. The findings show that jobs relying heavily on text, data analysis, and repetitive decision-making dominate the risk list.
Top roles at risk include:
- Administrative assistants;
- Paralegals and legal assistants;
- Customer service representatives;
- Account managers; and
- Financial analysts.
“These occupations share a common trait: a heavy reliance on information processing and documentation,” the study notes. Generative AI excels in these areas, effortlessly drafting reports, summarising data, and even producing client communications.
Other roles vulnerable to AI disruption span a range of sectors, including marketing specialists, HR coordinators, technical writers, and insurance claims processors. Many of these positions require strong writing skills and involve structured workflows – tasks that AI handles with increasing proficiency.
In contrast, jobs requiring manual or face-to-face interaction, such as electricians, mechanics, and healthcare workers, remain largely insulated. “AI’s strongest performance is observed in cognitive tasks, not physical or interpersonal roles,” the researchers add.
The study also warns that education and income levels do not guarantee immunity.
While entry-level clerical roles are highly exposed, professional roles in law, consulting, and finance also rank high on the list.
Why it matters:
- AI-driven efficiency could reshape traditional office work, reducing demand for routine administrative and analytical tasks.
- Workers in at-risk roles may need reskilling in areas where human judgement and creativity are harder to automate.
While the long-term impact remains uncertain, one trend is clear: AI’s applicability to white-collar work is accelerating, and companies are already reorganising workflows around automation. – moneyweb.co.za
