What happened
The Japan Times reports that a survey conducted by Japan's Digital Agency found that government employees using the Gennai platform reduced their average working hours by 110 minutes per week. The online survey, conducted in August and September, collected valid responses from 6,439 workers across ministries and agencies. Over 50% of respondents reported reducing their working hours by at least one hour per week, with 35.1% citing savings of one to three hours and 10.9% citing three to five hours. The survey also noted that 31.2% of respondents rarely or never used the platform, while 10.4% used it almost daily.
The Japan Times reported that a survey by Japan's Digital Agency revealed that employees at government ministries and agencies reduced their working hours by an average of 110 minutes per week through the use of the Gennai platform. The survey was conducted online between August and September and gathered valid responses from 6,439 government workers.
According to the report, more than 50% of respondents indicated they were able to cut their working hours by at least one hour per week. Specifically, 35.1% reported savings of one to three hours, 10.9% reported three to five hours, 5.2% reported five to 10 hours, and 3.2% reported 10 hours or more. Conversely, 34.6% of respondents stated that their working hours remained largely unchanged.
The survey identified common benefits of using the AI platform, with many respondents noting the ability to quickly create rough drafts, find necessary information from large volumes of documents, and catch up on technical knowledge more rapidly. Usage patterns varied, with 10.4% of respondents using the platform almost every day, 11% using it three or four times a week, and 26.4% using it once or twice a week. A total of 31.2% reported rarely using or never using the platform.
Gennai is developed and operated by the Digital Agency and is available to approximately 180,000 government employees. The platform now includes an AI agent function that is capable of autonomously performing two or more tasks simultaneously, marking a shift from simple generative text tools to more complex autonomous workflows.
Source details: japantimes.co.jp
Why it matters
This survey provides concrete, quantitative evidence of productivity gains from in a large-scale public sector deployment, moving beyond anecdotal claims to measured time savings. It highlights the practical utility of AI agents in administrative tasks such as drafting and information , which are central to government operations. The finding that a significant portion of staff still rarely uses the tool suggests a gap between availability and adoption, offering a realistic view of implementation challenges. For policymakers and enterprise leaders, this data serves as a for evaluating the return on investment of AI tools in bureaucratic environments, demonstrating that measurable efficiency improvements are achievable when tools are integrated into daily workflows. It also underscores the importance of user engagement strategies to maximize the benefits of AI investments in the public sector.
This report offers one of the few large-scale, quantitative assessments of 's impact on productivity in the public sector. By documenting a specific average reduction in working hours, it provides a tangible metric for evaluating the effectiveness of AI integration in bureaucratic settings.
The data highlights the practical applications of AI in administrative tasks, such as drafting and information , which are time-consuming and repetitive. This suggests that AI can alleviate workload pressures on government staff, potentially improving work-life balance and operational efficiency.
The finding that nearly a third of employees rarely or never use the platform indicates that mere availability does not guarantee adoption. This underscores the need for effective training, change management, and user-friendly design to ensure that AI tools are fully utilized and deliver their intended benefits.
For the broader AI industry, this case study demonstrates the potential for AI agents to handle multi-step tasks autonomously, moving beyond single-query interactions. This has implications for how AI tools are designed and deployed in other sectors, emphasizing the value of autonomous capabilities in complex workflows.
Interactive Mechanism: How It Actually Works
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crm_get_transaction(id='4092').An agent must create a draft calendar event for Tuesday at 2 p.m. Which evidence would establish the requested result?
What to watch next
Future updates on the adoption rates of the Gennai platform's new AI agent function, which can perform multiple tasks simultaneously. Monitor whether the Digital Agency releases further data on specific task types where AI provides the most significant time savings. Watch for policy changes or guidelines regarding the use of AI in government decision-making processes, as increased reliance on AI for drafting and information may necessitate new oversight mechanisms. Additionally, observe if other government agencies or private sectors in Japan adopt similar AI tools based on these reported results.
Monitor the adoption rates and user feedback regarding the new AI agent function in Gennai, which allows for the simultaneous execution of multiple tasks. This feature represents a significant technological advancement over previous versions of the platform.
Watch for additional data from the Digital Agency on the specific types of tasks where AI provides the most significant time savings. This information could help other organizations identify high-impact areas for AI implementation.
Observe any policy developments or guidelines issued by the Digital Agency or other government bodies regarding the use of AI in decision-making processes. As AI becomes more integrated into government operations, questions about accountability, transparency, and oversight will likely become more prominent.
Track whether other government agencies or private companies in Japan and internationally adopt similar AI tools based on the reported success of Gennai. This could signal a broader trend toward AI-driven efficiency improvements in the public and private sectors.