How Far Has AI Adoption Progressed in the Workplace? TRUSQUETTA Inc. Conducts "Survey on Actual AI Use in Business"

TRUSQUETTA Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Satoshi Takahashi) conducted a "Survey on Attitudes Regarding AI Use in Business" among 100 men and women aged 20 to 60 nationwide.

With the spread of AI tools, including generative AI, interest in AI utilization is growing in corporate environments. This survey investigated the status of AI use, intentions for adoption, expected business improvements, and anxieties regarding practical implementation.

The results revealed that only 41% of people use AI in their work. In contrast, "improved operational efficiency" was the most cited expectation for AI, at 57%. This suggests that while there are high expectations for AI in the workplace, there are still challenges to its full integration into daily operations.

*This survey was an internet-based poll of 100 men and women aged 20-60 nationwide, and the results are based on the respondents' answers.

## Survey Results Summary

- 41% of people use AI at work, while 59% do not.
- Regarding AI adoption within the next year: 22% have "already adopted," and 17% are "considering adoption." Meanwhile, 27% are "undecided," and 34% have "no plans to adopt."
- The most common use of AI is for "text and email composition" at 40%.
- The most expected business improvement from AI is "improved operational efficiency" at 57%.
- While there are expectations for AI use in business, there are also lingering anxieties.

### Q1 Do you currently use AI in your work?

41% use AI at work; about 60% do not yet.
When asked, "Do you currently use AI in your work?" 41% answered "yes," and 59% answered "no."

Although information and services related to AI are widespread, the results show that less than half of the people have incorporated it into their daily work. This indicates that while corporate AI use is gaining attention, it has not yet reached a stage of broad adoption across the entire workplace.

### Q2 Are you considering adopting AI within the next year?

27% are "undecided" about AI adoption within the next year.
When asked, "Are you considering adopting AI within the next year?" the responses were:
- "Yes": 17%
- "No": 34%
- "Undecided": 27%
- "Already adopted": 22%

While a certain number of respondents have already adopted AI, 27% are still undecided. It is believed that a significant number of companies and managers are interested in AI but have not yet made a concrete decision to adopt it. This is likely due to multiple factors such as cost-effectiveness, internal operational methods, integration with existing workflows, and the accuracy of the output.

### Q3 If you use AI, for which tasks do you use it? (Multiple selections allowed)

The most common use of AI is for "text and email composition."
When asked, "For which tasks do you use it?" the most common answer was "text and email composition" at 40%. This was followed by "information gathering and research" at 37%, "document and presentation creation" at 30%, "data analysis and report creation" at 20%, and "minute taking and summarization" at 16%.

Currently, AI seems to be adopted starting from areas where it is easy to incorporate as a support for daily tasks, such as text composition and information gathering. On the other hand, this suggests that there is still room for utilization in tasks that require specialized judgment or verification based on internal rules and industry standards.

### Q4 What business improvements do you expect from AI?

"Improved operational efficiency" is the top expectation at 57%.
When asked, "What business improvements do you expect from AI?" the most frequent response was "improved operational efficiency" at 57%. This was followed by "addressing labor shortages" and "more efficient information gathering and analysis" at 28% each, and "cost reduction" and "reduction of work errors" at 25% each.

This result shows that what companies expect from AI is not just a reduction in working hours. Expectations are also high for maintaining and improving business quality, such as proceeding with work with limited personnel, reducing oversights in verification tasks, and easing the burden of information gathering and decision-making. Particularly in verification and checking tasks, which tend to be dependent on individuals and prone to inconsistencies, expectations for efficiency gains and error reduction through AI are likely to grow.

### Q5 Which of the following best describes your feeling about using AI in business?

Expectations for AI are high, but anxieties about practical use remain.
When asked, "Which of the following best describes your feeling about using AI in business?" 19% said, "I tend to have more expectations or実感 that my workload will be lightened," and another 19% said, "I have more expectations or実感 that my workload will be lightened." 26% of respondents said they do not use AI at work.

While there is an expectation that AI will lighten workloads, a certain number of people feel anxious about its practical use. When companies use AI in their business, it's not just about the speed of the output; it's also crucial that the content is accurate, complies with business rules, and that the basis for judgment can be confirmed. Especially in areas where incorrect judgments can lead to risks, such as ad copy and various document checks, using general AI as-is can leave room for anxiety.

## Corporate AI Use is Moving from 'Trying It Out' to 'Integrating with Confidence'

This survey found that while only 41% of people use AI at work, many expect it to bring "improved operational efficiency," "address labor shortages," and "reduce work errors."

This suggests that while interest in AI is high in the corporate world, many companies are still in the deliberation phase regarding how to integrate it into their operations and how much to entrust to it.

To establish AI in the workplace, it is important not only to use it as a convenient tool but also to create a state where it can be used with confidence by reflecting each company's business rules and judgment criteria. Particularly in verification and checking tasks, which are prone to dependence on individual experience and knowledge, leading to task personalization and inconsistent judgments, AI has the potential to improve efficiency and stabilize quality.

## About TRUSQUETTA Inc.

TRUSQUETTA Inc. provides AI-powered SaaS tools that utilize training data. With general-purpose generative AI, there is a risk of incorrect or uncertain output because the necessary background information, internal rules, and industry-specific verification standards are not adequately reflected. TRUSQUETTA's service supports verification and checking tasks by utilizing the necessary rules and knowledge as training data. This helps address the challenges frequently mentioned in the survey, such as "improved operational efficiency," "reduction of work errors," "more efficient information gathering and analysis," and "utilization of internal knowledge," by supporting practical AI use.