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Insights from Fukuoka DXPO '25 on Generative AI Utilization

In October 2025, the sales and marketing DXPO Fukuoka '25 hosted an attendee survey to assess the current landscape of generative AI utilization within organizations. Out of 75 respondents, significant patterns emerged regarding satisfaction and usage rates, parallels drawn from the previous DXPO Tokyo event held earlier that same year.

Overview of Key Findings

With 82.7% of respondents utilizing generative AI to some extent, its adoption mirrors that of the Tokyo event where the rate stood at 87%. However, satisfaction levels revealed a notable trend: only 29.3% of attendees expressed contentment with the functionality and effectiveness of the technology. This figure closely aligns with the Tokyo counterparts’ 30.5% satisfaction rate, indicating a consistent challenge across both events.

Furthermore, a high 84.0% reported a sense of operational efficiency with the introduction of generative AI, although this mixed sentiment raises questions about the tools' effectiveness despite the perception of increased productivity.

Survey Details

• - Event: DXPO Fukuoka '25
• - Dates: October 30-31, 2025
• - Sample Size: 75 direct responses gathered during the event
• - Comparison: DXPO Tokyo ’25, held August 19-22, 2025, had 200 respondents
• - Focus Areas: Generative AI’s usage, satisfaction levels, and perceived operational improvements.

Respondent Insights on Generative AI Usage

Q1: Are you utilizing generative AI?

• - Not at all: 13 respondents (17.3%)
• - Partially: 36 respondents (48.0%)
• - Actively: 26 respondents (34.7%)

The data indicates that while 80% are engaging with generative AI, the bulk of users are only partially integrating it into their workflows, suggesting that full incorporation into daily tasks remains a common hurdle, with comments showing a lack of structured implementation.

Voice of the Respondents:

- _Not Utilized_: “I think it would be useful, but discussions about adoption are rare in my company.”

- _Partially Utilized_: “I use it for simple writing tasks but haven't integrated it fully into my daily operations.”

- _Actively Utilized_: “Instead of searching online for information, I ask the AI directly now.”

Q2: Are you satisfied with the usability and outcomes of generative AI?

• - Dissatisfied: 1 respondent (1.3%)
• - Neutral: 52 respondents (69.3%)
• - Satisfied: 22 respondents (29.3%)

The results show a large majority of attendees remain neutral regarding the tool's effectiveness, suggesting that while there is interest and potential, actual successes and dependable outputs are sparse.

Voice of the Respondents:

- _Dissatisfied_: “The answers didn’t meet my expectations.”

- _Neutral_: “The potential exists for great utility, but I’m still figuring out how to use it effectively.”

- _Satisfied_: “It helps me draft necessary documents quickly, which is a big win.”

Q3: Do you feel that generative AI has made your work easier or more convenient?

• - Cannot Feel: 12 respondents (16.0%)
• - Slightly Feel: 22 respondents (29.3%)
• - Strongly Feel: 41 respondents (54.7%)

Interestingly, over half of the participants reported significant benefits regarding efficiency, contrasting with the low satisfaction. This disparity reflects a disconnect between perceived benefits and actual tool effectiveness.

Voice of the Respondents:

- _Cannot Feel_: “Increased checks on AI outputs negate efficiency savings.”

- _Slightly Feel_: “It’s fast to draft documents, but I still need to do a lot manually.”

- _Strongly Feel_: “My processing time for documentation is drastically reduced.”

Key Takeaways

The Fukuoka DXPO reveals that while a significant portion of professionals utilize generative AI and recognize its potential for enhancing efficiency, overall satisfaction does not reflect this positive sentiment. The feedback suggests key areas for improvement:

• - Lack of standardized use across teams results in varying effectiveness.
• - Tools are perceived as beneficial yet fail to be integrated into holistic workflows, limiting overall impact.
• - Difficulty in measuring success quantitatively leads to broad and sometimes subjective interpretations of effectiveness.

The trends observed from both the Fukuoka and Tokyo events underline a pressing need for companies to establish clear guidelines for generative AI usage, foster collaboration, and create measurable success criteria.

Future Directions

To advance toward achieving tangible outcomes with generative AI, organizations must focus on:

• - Establishing clear operational guidelines.
• - Promoting knowledge sharing and training.
• - Designing measurable evaluation criteria.
• - Ensuring integration into daily workflows.

At Spike Studio, we offer robust solutions tailored to empower organizations in their use of generative AI, from staff training to the development of applicable AI solutions to address business challenges. Our aim is to deliver quantifiable results through generative AI and digital transformation initiatives quickly and efficiently.