The Role of AI in Stock Trading: Insights from Investor Surveys
In a groundbreaking survey conducted by IDEATECH, a Tokyo-based company specializing in research data marketing, findings indicate a significant trend among individual investors integrating AI into their stock trading strategies. This report focuses on individual investors who hold over 3 million yen in stocks and have utilized generative AI tools like ChatGPT, Claude, or Gemini in the past month.
Key Findings of the Survey
The comprehensive analysis revealed several important statistics:
- - About 73.3% of individuals reportedly utilize generative AI in stock trading, with 28.2% using it frequently and 30.6% using it occasionally.
- - Investors harness AI primarily for understanding corporate growth strategies (50.4%), stock selection (47.6%), and financial analysis (46%).
- - A staggering 89.2% of users have engaged in trading actions, with over half utilizing AI to decide on selling their currently held stocks.
Importance of AI in Investment Decisions
The survey, conducted from November 10th to December 10th, 2025, involved responses from
493 investors. A notable
82.3% reported acting on trading decisions after interacting with AI. This included selling existing holdings (53.8% of respondents), hesitating on potential purchases (47.8%), and deciding to invest in new stocks (42.8%). A remarkable
64.3% have also confirmed cross-referencing AI-generated information with official corporate IR materials, ensuring a robust validation process.
Exploratory Findings on AI-Driven Opportunities
Investors reported encountering unexpected stocks or ideas through AI, with
78.1% affirming such experiences, and
84% have acted upon these suggestions. The approval ratings for the precision of AI analyses were positive;
66.4% deemed it high-quality. Moreover, many cited the potential of AI for enhancing trading efficiency. The leading reason for wanting to further incorporate AI into their strategies is the expectation that it saves significant time on information gathering and analysis, with
64.8% supporting this notion.
Reasons for Hesitancy
Interestingly, there remain concerns among investors regarding AI use, as the leading reason for those who do not utilize it is an anxiety about the accuracy of information (32.3%). Other reasons include a perceived lack of necessity (23.8%) and reluctance to entrust their investment decisions to AI (23.1%).
Future Perspectives for AI in Investor Relations
Around
89% of the surveyed individuals believe in the growing importance of AI-appropriate investor relations (IR), emphasizing the need for transparent information disclosure by companies. Investors highlighted that
45.6% think accurate information is necessary for making sound investment judgments, while
41.8% expect that more investors will seek information via AI platforms in the future.
Corporate Strategies for AI IR
The ideal practices investors are anticipating revolve around clear communication of corporate strategies (49%), proactive disclosure of anticipated inquiries from investors (43.1%), and accessible financial documentation formats tailored for AI comprehension (39.5%). The insights from this survey suggest a dire need for companies to adapt their investor relations strategies to align with the evolving landscape influenced by AI.
Conclusion
This survey signifies a pivotal shift in personal investment strategies with the integration of generative AI tools. It also denotes the democratization of analytical capabilities that were traditionally accessible only to institutional investors and experts. As we strive toward a more AI-integrated trading environment, ensuring accurate, verifiable information remains a critical challenge for individual investors. IDEATECH continues to pioneer in PR strategies that equip companies for such transformations in the investor landscape, encouraging enterprises to remain ahead in this rapidly evolving digital age.