11/12/2024 | Press release | Distributed by Public on 11/12/2024 07:04
AI adoption is slowing among global desk workers, according to Slack's new Workforce Index, a shift largely driven by workers in the United States. Despite business leaders continuing to emphasize urgency in leveraging the technology, U.S. worker AI adoption rates have stalled over the last three months - growing from 32% to just 33% (compared to an 8 percentage point increase a year ago).
In addition to a lack of training from employers, the research points to uncertainty and discomfort around AI usage causing the slowdown in U.S. companies. Almost half of U.S. workers report feeling uncomfortable admitting AI use to their managers for fear they might be seen as incompetent, lazy, or cheating.
Why it matters: Companies can't afford to have AI adoption stall out. According to McKinsey, AI could increase corporate profits by $4.4 trillion a year, and Salesforce research finds that sales teams using AI are 1.3x more likely to see revenue increase than those who don't use it. To realize the benefits of AI, however, employers need to encourage employees to use the technology and equip them with the training and guidance needed to work successfully in this new era.
Salesforce perspective: "Too much of the burden has been put on workers to figure out how to use AI. To ensure adoption of the technology, it's important that leaders not only train workers, but encourage employees to talk about it and experiment with AI out in the open," said Christina Janzer, SVP of Research and Analytics at Slack. "The arrival of AI agents - with clearly defined roles and guidelines - will also help with adoption, alleviating the ambiguity and anxiety many workers feel around using AI at work."
The arrival of AI agents - with clearly defined roles and guidelines - will also help with adoption, alleviating the ambiguity and anxiety many workers feel around using AI at work.
Christina Janzer, SVP of Research and Analytics at SlackWithout clear guidance, workers are confused about when it is socially and professionally acceptable to use AI at work - and are keeping their usage under wraps.
On the other hand, workers who are comfortable sharing AI use with their manager are 67% more likely to have used it for work.
The data reveals a disconnect between what leadership wants employees to focus on and what workers expect they'll focus on with the time saved by AI. Execs want employees to prioritize upskilling and innovation, while employees expect to use the time saved by AI to catch up on busy work and existing projects.
The top areas that execs want employees to prioritize to move the business forward are:
What employees expect they will do with the time AI helps them to save:
Despite uncertainty around AI in their current workplace, workers want to skill up on AI - 76% even feel an urgency to become an AI expert. However, 61% of workers have spent less than five hours total learning how to use AI, and 30% say they've had no AI training at all, including no self-directed learning or experimentation.
Employers will need to solve for the gap in training and get clear about AI guidelines, as current employees and new professionals entering the workforce will gravitate to more supportive workplaces.
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Methodology: The survey included 17,372 workers in Australia, Brazil, Canada, France, Germany, India, Italy, Japan, the Netherlands, Singapore, Spain, Sweden, Switzerland, the U.K., and the U.S. and was fielded between August 2 and August 30, 2024.
The survey was administered by Qualtrics and did not target Slack or Salesforce employees or customers. Respondents were all desk workers, defined as employed full-time (30 or more hours per week) and either having one of the roles listed below or saying they "work with data, analyze information or think creatively": executive management (e.g. president/partner, CEO, CFO, C-suite), senior management (e.g. executive VP, senior VP), middle management (e.g. department/group manager, VP), junior management (e.g. manager, team leader), senior staff (i.e. non-management), skilled office worker (e.g. analyst, graphic designer).