Eleven hours of work per account manager vanished every week somewhere in the back office of a food service company. This wasn’t due to layoffs, but rather to a team of engineers rebuilding the workflow around seventeen AI agents. Cognizant’s new workforce model gave rise to that project. Although it’s a brief example, it’s helpful. It illustrates what the business is genuinely attempting to show, which is that these are not fictitious job categories created for a press release. They are already providing quantifiable services to actual clients.
Cognizant announced what it refers to as an investment in the American workforce of the AI era on September 7. The headline figures are noteworthy: a plan to expand two new job categories, Frontier Certified Engineers and Frontier Business Operators, to a total of 15,000 employees, and the hiring of 1,500 U.S. college graduates in 2026. In addition to a registered apprenticeship program through the U.S. Department of Labor, the company is utilizing university partnerships with the University of Georgia, Arizona State University, and the University of Kentucky. It’s a larger pipeline than the majority of businesses in this industry have bothered to construct.
These positions have noteworthy certification numbers. With over 15,000 Claude certifications, Cognizant is the largest Anthropic partner in the world. As one of the few international OpenAI Codex partners, it also possesses 5,000 Codex certifications. Based on the same workforce model, Google Cloud and Cognizant are growing their Gemini Enterprise partnership. Because of its positioning across three of the leading AI platforms, the company is able to provide employees with direct, hands-on experience with the tools that are actually influencing the development and operation of enterprise software, something that most employers cannot.
Cognizant’s economic argument for all of this is based on research it did with Oxford Economics. According to the research, AI can already complete $4.5 trillion worth of work tasks in the United States, and over the next ten years, generative AI is expected to boost the country’s economy by $1 trillion.
These are significant figures, and in a field that is developing at such a rapid pace, it is worthwhile to exercise at least some caution when making projections that span ten years. However, the directional argument—that the discrepancy between AI’s potential and what businesses are actually realizing is essentially a workforce issue rather than a technological one—is plausible. There are the tools. There is still a dearth of personnel with the necessary training to implement them effectively, on a large scale, in actual business settings.
In relation to this announcement, Cognizant has joined a coalition that merits consideration. Former Indiana Governor Eric Holcomb and former Commerce Secretary Gina Raimondo founded RAISE US, a bipartisan national initiative to assist American workers in transitioning to the AI economy.
Along with representatives from Amazon, Anthropic, Bank of America, IBM, Microsoft, and the OpenAI Foundation, Ravi Kumar S, CEO of Cognizant, is a member of its advisory board. The coalition, which began with state partnerships in Arkansas, Connecticut, Maryland, and Utah, aims to raise $1 billion for new earn-and-learn pathways and worker retraining. At the launch, Raimondo stated clearly that America has a technology strategy for artificial intelligence. As of yet, it lacks a people strategy.
Additionally, Cognizant signed the White House’s Pledge to America’s Youth on AI Education. The company’s global Synapse skilling initiative, which initially aimed to train one million people, achieved that goal a full year ahead of schedule. The company’s 2030 target has been doubled to two million. It has given out $70 million in charitable grants since 2018 to increase access to STEM education and careers in technology.
As I watch this develop, I get the impression that Cognizant is presenting a particular argument at a time when it needs to be made very clearly. The fear that early-career workers in particular may have fewer opportunities to enter the workforce is legitimate, as is the anxiety surrounding AI and employment. With actual hiring figures linked to actual job titles on actual platforms, Cognizant is attempting to demonstrate that the shift can go the other way. Whether that proof holds at scale is still too early. However, the business appears to be sincerely interested in learning more.
