D-Vote Poll Reveals Majority of Both Regular AI Users and Non-Users View TH-AI Passport as Not Worthwhile

Dr. Rueabin revealed results from a D-vote survey involving 1,172 participants, showing that most regular AI users and non-users view the "TH-AI Passport" project as not worthwhile.

15 June 2026 GMT+7 Mr. Thamthee Sukchotirat, also known as Dr. Rueabin, Director of D-vote (D-vote) at Sripatum University disclosed viaFacebookthe survey results concerning AI and the TH-AI Passport project, based on a sample of 1,172 people (surveyed from 11–14 June 2026, covering all age groups, occupations, and regions nationwide, with a confidence level of 92.0%, conducted by the D-vote Poll Center). The findings, in-depth analysis, policy proposals, and ways to use this survey as a baseline for comparing the project's objectives/KPIs are as follows.

Findings

• Seventy-five percent of respondents use AI at least once a week (54% use it daily or almost daily), and the higher the education level, the more frequent the AI use.
• The access gap exists mainly among those with education below a bachelor's degree.
• Among regular AI users, 91% assessed the project as not worthwhile, a proportion close to the 93% among non-users.
• Awareness of the budget correlates with the view that the project is not worthwhile: 92% know the budget is in the billions of baht, and within this group, 93% consider the project not worthwhile.
• Confidence in data protection is very low, with 95% not trusting it.
• Demand for project oversight is very high at 99%.
• Desired AI directions from the government focus on reducing corruption (60%) and cutting bureaucratic procedures (48%), while the TH-AI Passport project ranks at only 1%.
• Fifty-four percent do not expect the project to benefit them, and expectations for income increase are low at 13%.
• Twenty-three percent of respondents already pay for Pro AI services.

In-depth analysis

• From awareness to effective use: Most respondents have moved beyond “knowing AI” to “using AI” (85% have heard of the project, 75% use AI at least weekly). The policy challenge is thus to elevate usage to “effective, safe, and beneficial use” rather than merely raising awareness.
• The public views AI as a “tool for public development”: Grouping desired directions shows a trend toward good governance and public system development, such as using AI to reduce corruption (60%) and cut bureaucratic steps (48%).
• Demand for comprehensive support systems: The main obstacles cited are “lack of necessity” (45%) and “not knowing how to use it” (12%) rather than access. This suggests support should include training, linking use cases to daily life or careers, and advisory systems.
• Conditional support: Ninety-nine percent want project oversight, reflecting that support should be linked to transparency, auditability, and public reporting.
• Dimension of equality: AI use correlates with education, age, and occupation; policy design should consider less-accessible groups to avoid widening gaps.

Policy proposals

1. Measure “outcomes” rather than “number of rights distributed”

• Set indicators based on active users, course completion rates, and skill improvement (pre- and post-assessment), and link funding disbursement to results.
• Consider payment mechanisms based on actual usage (pay-as-you-use) to align costs with real use.

2. Enhance transparency and oversight

• Continuously disclose overall data (dashboards/reports) publicly without revealing personal information.
• Allow independent audits (e.g., by the Office of the Auditor General or external auditors) access to usage data and audit records.
• Publish data security audit results to build trust.

3. Design to reach less-accessible groups

• Set specific targets for groups with education below a bachelor's degree, rural residents, and vulnerable occupations, along with comprehensive support systems (training, use cases, advisors).
• Increase practical applications that meet public needs, such as AI for transparency and reducing government service steps, with indicators measuring reduced service times.