Product News
uSonar Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; hereinafter "uSonar") is pleased to announce the release of a report titled "Survey on the Usage Status and Output Quality Satisfaction of Generative AI," conducted among 500 business professionals currently using generative AI in their work.
The survey report reveals that 70% of users are dissatisfied with the accuracy of AI outputs, and highlights the unexpected amount of time required to verify the information provided by AI.
The findings suggest that for companies to improve productivity through generative AI, there is an increasing need to focus on "high-quality data management." Please download the report for further details.
Download the Detailed Survey Report
To obtain the detailed report, please use the application form on the right side of this page. You can also use the "Get Survey Report" button below (this will jump to the free download page for the document).
Background and Purpose of the Survey
While the use of generative AI in business is expanding, there is growing dissatisfaction with AI outputs, with users noting that they "cannot be used as-is" or that "low accuracy leads to unexpected time spent on verification." This is often attributed to a lack of "prompt engineering skills." However, we conducted this survey to explore whether the issue lies not only in prompt skills, but also in the "quality of data" that the generative AI references.
• Quantify the "Real-World Status" of Business Professionals Using Generative AI in Their Work
• Identify the "Root Causes" of Dissatisfaction Regarding AI Response Quality and Reliability
• Explore the Relationship Between AI Performance and the Data Management Required to Leverage It Effectively
Survey Overview
• Survey Name: Survey on Generative AI Usage Status and Quality
• Methodology: Internet Survey (Cross Marketing Inc. Survey Panel)
• Target Audience: Business Professionals Who Use Generative AI "Daily" or "Occasionally" for Work
• Valid Responses: 500
• Survey Period: March 2026
• Conducted by: uSonar Co., Ltd.
Key Survey Results (Summary)
1) Approximately 70% Experience Dissatisfaction with the "Accuracy and Reliability" of Generative AI (70.4%)
70.4% of respondents answered that they "frequently" or "sometimes" feel dissatisfied with the accuracy and factual reliability of generative AI responses. While the use of generative AI is becoming mainstream, it is clear that significant concerns regarding reliability persist.
2) The Cause of Dissatisfaction Is "Data Quality" — 61.4% Attribute Issues to Data
When asked about the causes of dissatisfaction with AI responses, 23% cited "AI lacks specialized or up-to-date information," and 22% cited "the possibility that the source data is incorrect," with a combined 61.4% attributing the issue to the "quality of data and information."
Meanwhile, only 12.4% cited "lack of prompt skills," suggesting that many users believe the core challenge lies in the data environment referenced by the AI rather than their own skills.
3) Time Spent Verifying Responses Offsets Productivity Gains — 72.8% Spend Time Validating or Correcting AI Outputs
72.8% of respondents spend 5 minutes or more per instance "fact-checking or verifying" information provided by AI, with some spending over 30 minutes. This highlights how the productivity benefits of AI are being offset by the effort required to verify outputs.
4) The Key to Elevating AI Usage Is the "Data Environment" — 61.6% Identify It as Most Important
When asked what is most necessary to improve the level of generative AI usage in the future, "improving the accuracy and timeliness of data" (33%) and "access to a broader range of factual data" (29%) topped the list, with a combined 61.6% identifying "data improvement" as the most important factor. This result surpasses "improving prompt skills" (20%).
Implications of the Survey
• The Bottleneck for Generative AI Usage Is the "Data Environment," Not "Prompts"
This survey indicates that the primary cause of dissatisfaction with generative AI outputs is not user AI skills such as prompting, but rather the "accuracy," "timeliness," and "expertise" of the information data that the AI references.
For further advancement and improvement of AI usage, it is clear that building an environment that connects to "reliable and accurate data" will become increasingly important for companies.
For Corporate Data Management, Choose uSonar
uSonar provides the "LBC"* corporate database, the largest in Japan, to companies through various cloud services. Corporate customer data, such as suppliers and sales leads, inevitably becomes obsolete over time and prone to errors due to manual entry inconsistencies. Companies that implement uSonar can build a data environment characterized by comprehensiveness, accuracy, and timeliness, as the high-definition data required for business is constantly supplied by our company.
For more details or to request materials, please use the inquiry form on our website.
* About the "LBC" Corporate Database
This is the largest corporate database in Japan, independently built by uSonar. (Largest in Japan: Based on our own research as of June 1, 2026.)
We assign an 11-digit management code to approximately 12.5 million business locations across Japan. It maintains attribute information such as corporate numbers, industry types, sales scale, capital affiliation, and head office/branch relationships, allowing for a comprehensive grasp of the entire country and corporate structures. It covers a wide range of information from offline data such as commercial registries to corporate information on the web, integrating and accumulating over 120 data points.
Contact for Inquiries:
uSonar Co., Ltd. Public Relations (Hiyama/Ebara)
Email:pr@usonar.co.jp
