In 2023, artificial intelligence could only do a fraction of what it does now. ChatGPT had recently launched. Distorted AI photographs and videos had just begun to appear on your timeline. The technology was developing, but adoption was slow, and productivity increases remained a pipe dream. Today, it is being swiftly spread across industries, which has raised concerns among workforce researchers.
Cognizant, a professional services business ranked 217th on the Fortune 500 for 2026, has reevaluated its assessment of AI’s impact on the workplace, and the findings are more striking than previously. They revised their 2023 prediction, which was based on an analysis of 18,000 tasks and almost 1,000 positions from the U.S. Department of Labor’s occupational statistics, and discovered that 93% of employment might see at least some disruption from the technology. Additionally, a greater variety of jobs now face an existential threat. The study discovered that AI might pose an existential threat to 30% of employment, which is 15 percentage points more than the initial estimate. According to the analysis, AI-driven disruption might replace human work with machines worth about $4.5 trillion.
According to the report, “We underestimated the impact of the technology.” “What we predicted might take until 2032 is happening right in front of our eyes.”
A rising number of insiders and industry executives are raising the alarm about the impending threat AI poses to the workforce, especially in white-collar jobs. And those forecasts are gradually coming to pass as businesses, particularly IT corporations, have begun to lay off large portions of their workforces, blaming AI for the layoffs. AI automation allowed Jack Dorsey’s Block to reduce its workforce by almost half. To finance AI developments, Australian-American tech company Atlassian laid off 10% of its personnel. According to reports, Meta intends to lay off 20% of its around 79,000 employees. Tech analyst Mark Shmulik cautioned that this might result in “a cascade of hurried pivots, half-formed strategies, and reactive restructuring across the ecosystem” as businesses fight to stay competitive in the AI era.
Today—six years ahead of plan—AI may have an impact on 93% of jobs today, the report reads. “In summary, the technology is impacting more jobs, more quickly, and to a greater extent than we anticipated.”
Beyond white-collar jobs: the first indications of disruption are in manual labor and healthcare
The survey discovered that the current potential for AI disruption goes beyond the professional world. Technology has begun to encroach on the once-safe sphere of physical labor. In construction, for example, technology can now assist with blueprint interpretation. In transportation, it can inspect shipments or conduct safety checks.
According to the paper, “tasks once thought to be purely manual actually contain embedded cognitive elements that AI can augment.” “The gains become transformative when those improvements happen across every shift and every site.”
AI is already causing disruptions in the healthcare industry, going from helping with simple activities to automating more difficult ones. According to the report, the technology has enhanced patient care and diagnostic precision.
According to Matt Sigelman, president of the Burning Glass Institute, a think organization that studies the workforce, AI has a long way to go before creating a workforce that is mostly machine and minority human. Sigelman told that “some of these disruptions will take much longer to play out than we assume.” “The impacts may be more subtle, and the duration of disruption will be longer.”
Based on the report, just 10% of tasks are completely automatable, even if the bulk of tasks today can be aided by AI in some form. Even though the researchers determined an industry-specific average exposure score of 39%, a number of industries with large workforces, such as construction and transportation, are still distant from experiencing significant exposure to AI.
However, Sigelman notes that even if the timetable might not match Cognizant’s estimates, the total effect on the workforce might be equally important. According to him, even some of the most seasoned experts may be disrupted by AI’s demands for an entirely new skill set, which may necessitate extensive retraining and upskilling.
“Those who have worked for decades may no longer be qualified for the position that has shaped their careers.”
The Blockgeni Editorial Team tracks the latest developments across artificial intelligence, blockchain, machine learning and data engineering. Our editors monitor hundreds of sources daily to surface the most relevant news, research and tutorials for developers, investors and tech professionals. Blockgeni is part of the SKILL BLOCK Group of Companies.
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