In the rapidly evolving landscape of modern workplaces, artificial intelligence is touted as a powerful tool for boosting productivity. By streamlining daily routines, it promises to free up valuable time for employees. But the pressing question remains: just how much more productive can AI-powered workers become?
Recent statistics released by the U.S. Census Bureau reveal intriguing insights: approximately 55% of employees report using AI in their professional roles. Interestingly, about a third of these workers claim that AI assistance trims one to two hours off their task completion times.
How are workers using AI on the job?
Employees cite several key areas where AI enhances their work experience. From drafting documents and sparking fresh ideas to conducting in-depth research and handling administrative duties, AI is transforming how tasks are approached.
So, what are the most prevalent ways professionals are integrating AI into their work routines? Here’s a breakdown of the most common uses:
A smaller share of workers use it to write code, for medical care and to manage logistics or supply chains, according to the Census data.
The findings are based on a weekly national Census Bureau survey of individuals and households on topics including employment, food and nutrition, and transportation.
How much time does AI save workers?
One-quarter of employees who reported using AI at work say the tools shaved less than an hour off the time it would otherwise have taken them to complete a task, according to the Census data.
A smaller share, at 15%, of workers saw even greater efficiency gains, saying that AI cut their workloads by three hours per task. An additional 15% said it saved them four hours.
To be sure, it can take time for employees to learn to use new technology like AI, which can initially add hours to the time required to complete a task. Research from the Massachusetts Institute of Technology shows that AI adoption in manufacturing initially decreases productivity before ultimately helping workers achieve long-term gains.
Economists use the “J-curve” model to explain the phenomenon. The productivity trajectory, in the shape of the letter J, reflects the period when considerable resources are committed to learning and investing in new technologies, with productivity initially dipping before rising exponentially.
Aimee Picchi