• AI could handle parts of 93% of U.S. jobs, with software development, finance, management, legal, and office roles most affected.
  • The technology is poised to shift $4.5 trillion in U.S. labor costs, with global potential reaching $15 trillion.
  • Adoption remains uneven, but rapid AI breakthroughs—like multimodal and agentic AI—are accelerating automation, though physical and care jobs see smaller impacts.

A New Era of Automation

A groundbreaking study reveals that artificial intelligence could automate components of 93% of jobs in the United States, potentially reshaping $4.5 trillion in labor costs. The findings, detailed in Cognizant (CTSH)'s recent "New Work, New World 2026" report, analyze over 18,000 tasks across 1,000 occupations, highlighting a seismic shift in the workforce landscape. Researchers found that roles in software development, finance, management, legal, and office support are particularly susceptible, with white-collar workers facing exposure rates up to 60%.

Cognizant CTO Babak Hodjat noted in a recent briefing that adoption patterns are uneven, but rapid advancements in AI—such as multimodal and agentic systems—are driving automation faster than initial forecasts. "We're seeing breakthroughs that double the speed of integration," Hodjat said, according to people familiar with the matter. This acceleration updates earlier projections from 2024, where AI exposure was pegged lower, with current trends pointing to 9% annual growth in automation capabilities.

Economic and Societal Implications

The report underscores that AI's impact doesn't necessarily equate to job loss; instead, it often augments human work, improving efficiency and output. On average, tasks could see 39% automation, with short-term outlooks suggesting 10% full automation and 40% assisted tasks. This has sparked debates among stakeholders, including employees and policymakers, about reskilling needs and the push for human-AI hybrid training models. Efforts to integrate AI into sectors like healthcare support and construction are progressing, albeit at a slower pace, with growing impacts expected as technology matures.

In the political sphere, while no direct U.S. policies target this specific study, President Trump's 2025 reelection agenda emphasizes domestic tech growth, potentially spurring AI deregulation amid global compute races. International tensions over AI infrastructure, such as data centers, could further influence supply chains and adoption timelines. Similar findings from McKinsey in 2025 flag 45% global task exposure, and the European Union is probing AI job impacts under 2026 regulations, mirroring concerns in China where agentic AI developments align with U.S. shifts.

Looking Ahead

As programming roles plateau with the maturation of large language models, experts predict that human oversight will remain crucial, with compute limits potentially slowing the full realization of agentic AI. Hodjat eyes emerging trends like "vibe coding" and digital twins to enhance efficiency, suggesting a future where AI and human collaboration redefine productivity. Without proactive measures, industries risk falling behind in the race to harness AI's potential, but with strategic upskilling, the technology could unlock unprecedented economic value. Attempts to reach Cognizant for additional comments on the report's financial implications were unsuccessful at press time.

Correction: An earlier version of this article misstated the global labor value potential; it is $15 trillion, not $15 billion.