Generative AI tools are delivering marked benefits for users, according to research from Microsoft, with employees reporting significant productivity gains.
In a paper published this month, the tech giant said the technology is rapidly changing work patterns as adoption rates continue to rise.
The study saw 6,000 knowledge workers at more than 50 companies given access to the firm’s flagship Copilot tool during a six month experiment.
Researchers noted that the study was conducted “during the early rollout” of the AI assistant, which was integrated into Microsoft applications such as Word, Outlook, and Teams.
Notable productivity gains were observed across a range of activities, the study claimed. Workers saved nearly three hours per week sifting through and responding to email correspondence, for example, representing a 25% workload reduction.
During the early phases, the use of Copilot to support activities in Outlook was among the most popular use-cases, researchers said. Workers typically spent over 11 hours per week reading and responding to correspondence, meaning the time savings were significant in the context of broader productivity gains.
“During this early adoption phase, the most prominent impact of Copilot on worker behavior was changes in how workers managed their email. In the pre-period, the average worker in our sample spent over 11 hours per week reading and responding to emails, more than a quarter of a typical work week,” the paper reads.
Elsewhere, the use of Copilot by participants enabled them to increase their ‘focus time’ on a weekly basis. The reduction of time spent on various activities and tasks meant they gained two additional hours of uninterrupted focus time, the paper noted.
Similarly, researchers found the tool allowed users to complete documents around 20% faster in some instances – again helping to unlock additional time savings across a working week.
All told, the productivity boosts delivered by AI tools are having a significant impact on employee workflows, researchers found, with agility and self-sufficiency in particular highlighted as key advantages.
“We find clear evidence that workers who use Copilot are beginning to change their work patterns in meaningful ways,” researchers said.
“During this early adoption phase, we see larger changes in behavior that workers can adjust independently and less movement in behaviors that require coordination with colleagues.”
Productivity gains and time savings have been a key appeal highlighted by AI assistant developers such as Microsoft over the last two and a half years.
Proponents of the technology have repeatedly claimed that AI tools can help workers spend time on more ‘meaningful tasks’, often without fully explaining what that entails for the average worker.
Research published this year also suggested that the adoption of AI tools has, in some instances, increased workloads for users, with many now having to take on additional tasks.
Analysis from Wrike found workloads grew by nearly one-third between 2023 and 2024, raising questions over whether the technology is having the desired effect.
The Microsoft paper, however, noted that workers have not “shifted the nature of the work or taken on new responsibilities” in the wake of being equipped with Copilot.
“We find few substantive differences in these patterns among workers with more close co-workers who also have access to Copilot or within firms with higher adoption rates, suggesting that larger shifts in responsibilities require time and broad institutional efforts, not just local team coordination.”
Despite notable benefits highlighted by Microsoft, the paper comes in the wake of similar research from the firm suggesting the frequent use of AI tools could have a negative impact on worker competence.
In a survey of 319 knowledge workers conducted by Microsoft and Carnegie Mellon University, researchers raised serious concerns over the impact of generative AI on users’ long-term cognitive abilities.
Researchers highlighted a “deterioration of cognitive faculties that ought to be preserved”, for example, adding that critical thinking skills had deteriorated among frequent users.
Users typically double check the quality of their work in any given task, the study found. However, the more confidence a worker had in a generative AI tool, the less likely they were to use their own critical thinking skills to engage with their work.
The result of this could have serious implications for users across a range of professions, with some trusting AI tools to produce flawless work that results in mistakes slipping through the net.
“Surprisingly, while AI can improve efficiency, it may also reduce critical engagement, particularly in routine or lower-stakes tasks in which users simply rely on AI, raising concerns about long-term reliance and diminished independent problem-solving,” researchers said.
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