A recent study by Cognizant indicates that 93% of jobs could be influenced by artificial intelligence as soon as 2026, which is six years sooner than experts initially expected. This rapid progression is attributed to three significant technological developments over the past three years:
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– Multimodal AI, which can interpret images, videos, and diagrams,
– Advanced reasoning models that can tackle complex multi-step problems,
– Agentive AI, now able to manage entire workflows with minimal human oversight.
To quantify this shift, researchers examined 18,000 tasks across approximately 1,000 professions, assigning each an exposure score and a velocity score to measure the rate of change. Here’s a detailed look.
Service Sector Jobs Face the Most Impact
Jobs most at risk are predominantly in the tertiary sector and decision-making roles. Financial and business operations now have an average exposure score of 68%, up from just 21% in 2023. Management roles are also heavily impacted, with a 60% exposure score, while administrative support roles are similarly affected. These categories also exhibit the highest velocity scores, ranging from 11 to 14, which is significantly above the average of 7.
This increased vulnerability is largely due to the rise of agentive AI. Where traditional automation was limited to repetitive and isolated tasks, AI agents now manage complete processes, such as identifying needs, gathering internal and external data, conducting preliminary analyses, drafting reports, and scheduling approval meetings. Financial analysts, for example, see their exposure score jump to 84%, and CEOs are above 60%.
Specialized sectors are also experiencing a noticeable acceleration. Health (practitioners), education, legal, and engineering professions show exposure scores between 39 and 49%, with velocity scores from 8 to 12. Lawyers are a prime example of this trend, with their exposure increasing from 9% in 2023 to 63% today, as AI is now capable of analyzing case law, assessing likely outcomes of disputes, and aiding in contract negotiations.
Manual and Relational Jobs Remain Less Affected
Conversely, some job families maintain lower than average exposure and velocity scores. Construction, transportation, and production show exposure scores ranging from 12 to 29%, with velocity scores between 3 and 6. These jobs involve variable physical environments and tasks, real-time decision-making, and shared responsibility that are difficult to codify.
However, even these sectors are seeing significant increases from 2023. Transport inspectors, for instance, have seen their score rise from 6% to 55%, as AI can now automate reporting, assist with visual inspections, and recommend corrective procedures. Masons have moved from 3% to 20%, thanks to multimodal capabilities that allow interpretation of blueprints or distance calculations.
Jobs in installation and maintenance, protective services, and personal care remain among the least exposed, with scores ranging from 20 to 29%. These professions rely on skills that are challenging to automate, such as interpreting subtle signals, making context-based judgments, and building trust. AI’s advancements are primarily behind the scenes, in planning interventions or compiling reports, while the critical moments remain in the hands of technicians, agents, or caregivers.
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Jordan Park writes in-depth reviews and editorial opinion pieces for Touch Reviews. With a background in UI/UX design, Jordan offers a unique perspective on device usability and user experience across smartphones, tablets, and mobile software.