Findings see U.S. enterprises leading globally in AI adoption

Respondents cited in new Infosys Knowledge Institute research also are candid about the tech's shortcomings (ironically, America also leads), as 35% of U.S. respondents acknowledged limitations associated with its use vs. 30% worldwide.

What you’ll learn:

  • 74% of U.S. respondents reported saving more than three hours per week using AI tools, compared to 67% globally.
  • 35% in the U.S. see limitations of AI use, compared to 30% globally.
  • 2,603 were polled worldwide for the Infosys survey.

U.S.A., U.S.A! The World Cup's been over for weeks, with Spain emerging victorious in a stunning final, but the Stars and Stripes are winning in another informal competition: AI adoption.

At least new research from the Texas-based Infosys Knowledge Institute says so. (Lest we express an American bias, the think tank also has a location in Bangalore, India). We present this tidbit of news to close out the week.

See also: Growth in IoT sensor market points toward strong momentum for DX

In another of a seeming litany of studies measuring how AI is penetrating the marketplace and where, this report, out this week, from Infosys points to U.S. enterprises—including American manufacturers—emerging as leaders in the race to adopt the technology, at least against the global average.

Are U.S. organizations farther ahead in embedding AI into day-to-day workflows and business operations? In certain segments perhaps, but in others the tech's decidedly still experimental.

However, according to the Infosys, certain encouraging milestones have been met:

  • 74% of U.S. respondents reported saving more than three hours per week using AI tools, compared to 67% globally.
  • 43% in the U.S. said they save between three to five hours weekly through AI, versus 38% worldwide.
  • The research also shows, however, that 35% in the U.S. see limitations of AI use, compared to 30% globally.

A total of 2,603 were polled worldwide for the Infosys survey: 1,772 junior-level; 545 managerial types; and 286 senior-level employees.

See also: AI in manufacturing won’t deliver until supplier ecosystems are connected

The Infosys research focuses much on workforce usage of AI and not a lot about manufacturing, but it does break down adoption and usage some by industry:

  • The highest uptake of AI by white-collar workers is in the high-tech sector and semiconductor industry (98% each), followed by telecommunications, financial services, energy, and insurance (96% each), and life sciences (95%).
  • More blue-collar or physical product-focused industries, such as manufacturing (88%) and automotive (93%), are trailing.
  • Health care (85%) and consumer packaged goods, retail, and logistics (86%) have the lowest uptake of AI. These industries contain a mix of professional, highly educated employees alongside blue-collar and more physical roles.

About the Author

Scott Achelpohl

Head of Content

I've come to Smart Industry after stints in business-to-business journalism covering U.S. trucking and transportation for FleetOwner, a sister website and magazine of SI’s at Endeavor Business Media, and branches of the U.S. military for Navy League of the United States. I'm a graduate of the University of Kansas and the William Allen White School of Journalism with many years of media experience inside and outside B2B journalism. I'm a wordsmith by nature, and I edit Smart Industry and report and write all kinds of news and interactive media on the digital transformation of manufacturing.

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