How Thai Consumers Use AI to Buy Cars: 85.8% Have Used AI, Only 23.3% Use It Monthly
How Thai Consumers Use AI to Buy Cars
85.8% Have Used AI, But Only 23.3% Use It Monthly
Quick read: three sentences
Thailand is a "high-contact, low-dependence" AI auto market. 85.8% of internet users aged 16+ used an AI tool in the past month, yet only 23.3% use ChatGPT monthly, below the 26.5% global average — AI here is more an "occasional friend to ask" than a "daily assistant".
Purchase decisions still follow social-commerce logic. 35.6% of Thai consumers read user reviews before buying; among the most-trusted product information sources, search engines take 54% and social media 46.4% — nearly even.
For Chinese EV makers, the opportunity is not "waiting for AI to mature", but occupying both battlefields — social feeds and AI corpora — with Thai-language AIGC content. A marketing vendor generated 5,000+ Thai and Indonesian short videos for Chinese NEV brands, lifting overseas exposure by 200% and cutting customer-acquisition cost by 45%.
What makes Thailand special is not penetration but depth of use: AI reach is extremely wide, yet most people only ask it occasionally — what to buy is still decided by the social-commerce logic of reviews, search and mall pop-ups.
AI ADOPTION · THAILAND
On one ruler: wide reach, shallow depth
Bar length and color depth both encode the value; a full bar equals 100%. Data as in Table 1.
I85.8% vs 23.3%: Thailand's "light" AI use
DataReportal's latest data reveals a striking contrast: 85.8% of Thai internet users aged 16+ used an AI tool in the past month (April 2026 global update), above the 81.2% world average; yet only 23.3% use ChatGPT monthly (November 2025 Thailand report), below the 26.5% world average. In other words, AI is everywhere in Thailand, but it is nobody's daily protagonist yet.
One corroboration: the same surveys show that one of the most common reasons Thais use AI is "easing loneliness", ahead of productivity and information lookup — companion-style, entertainment-oriented light use comes before tool-like, decision-oriented use. For a high-ticket decision like buying a car, this means AI is still an "information touchpoint" rather than a "decision advisor".
| Metric | Value | What it means |
|---|---|---|
| Internet users 16+ who used an AI tool in the past month | 85.8% | Above the 81.2% global average; no awareness barrier for AI |
| Monthly ChatGPT use | 23.3% | Deep use below the global average; AI is not yet a daily tool |
| Global average monthly ChatGPT use | 26.5% | Thailand sits 3.2 pp below this benchmark |
| Internet penetration | 94.7% | Digital infrastructure is complete; no channel barrier to AI reach |
IIChatGPT dominates; Thai-language models fill in
StatCounter's Thailand AI chatbot share shows ChatGPT still absolutely dominant, but down from 81.91% to 74% between the two months; Gemini rose from 8.99% to 16%, up nearly 80%. Competition is intensifying, and Thai-language models are filling in — SCB's Typhoon, the open-source OpenThaiGPT, and NECTEC's Pathumma have all launched.
| Model | Share (Oct 2025) | Share (Dec 2025) | What the change means |
|---|---|---|---|
| ChatGPT | 81.91% | 74% | Still dominant; down about 8 pp in two months |
| Gemini | 8.99% | 16% | The only clearly rising international model, up nearly 80% |
| Perplexity | 5.81% | 7% | Small share but above its global average; the "cites sources" preference is worth tracking |
| Copilot | 2.36% | 2% | Microsoft's ecosystem entry; share stable |
The core driver behind the wave of Thai-language models is corpus scarcity: Thai accounts for less than 0.5% of mainstream LLM training data, so Thai automotive word-of-mouth and local driving scenarios have long been "voiceless" in general models.
Direct implication for automakers: for GEO in Thailand, English content is not enough and Chinese content is mostly useless — brands must build Thai-language websites, Thai reviews and Thai reputation sources, or they will be "unfindable" in both global and local models.
IIIPrice-sensitive social-commerce decisions: reviews, search and mall pop-ups
No public quantitative survey on AI-assisted car buying in Thailand is available yet, but the underlying decision structure is clear: 35.6% of Thais read user reviews before any purchase; among the most-trusted product information sources, search engines take 54% and social media 46.4% — nearly even. This is a typical price-sensitive social-commerce market: long decision chains, heavy comparison shopping, and very high weight on peer reviews and word of mouth.
| Stage | Dominant channels | What it means for brands |
|---|---|---|
| Awareness | Social media (short video, livestream, KOL); mall pop-up showrooms in Bangkok | Exposure comes from social and offline; Thai content capacity decides share of voice |
| Research | Search engines 54%, social media 46.4% | Dual tracks; structured articles and short video must be done at the same time |
| Validation | User reviews (35.6% read before buying); Thai review videos | Word of mouth is the core evidence chain; manage it long-term, not as a one-off |
| Purchase | Financing schemes, promo calendars | Price-sensitive; conversion depends on policy design and timing |
IVThe Southeast Asia sample: the math of 5,000 AIGC short videos
Thailand is the core battleground for Chinese EV makers entering Southeast Asia, and one of the first markets where AIGC marketing has closed the loop. According to China Economic Net (July 25, 2025)[5], the vendor batch-generated 5,000+ Thai and Indonesian AIGC short videos for a domestic NEV brand. The published results:
| Metric | Change | What it means |
|---|---|---|
| Overseas exposure | +200% | Thai content supply scaled up visibly, and exposure followed |
| Acquisition cost | -45% | Batch generation diluted per-unit content cost; efficiency up |
| First-month conversion rate | +28% | Content matched with promo nodes shortened the path from seeding to order |
| Videos generated | 5,000+ | Volume-first: feeding both social recommendation algorithms and LLM training corpora |
The lesson: in a market of "light AI use + heavy social decisions", the first value of AIGC is not changing how consumers research, but changing the cost of brand content supply — using AI to multiply Thai content capacity and feed both social recommendation algorithms and LLM training corpora.
VThree judgments for automakers
First, Thai-language source building is the ticket to GEO in Thailand. Thai is under 0.5% of mainstream LLM training data: whoever builds authoritative, structured Thai brand content (websites, reviews, Q&A) first will occupy the scarce source positions in Thai answers from ChatGPT, Gemini and Typhoon.
Second, one set of AIGC content, deployed to both social and AI. Thai decisions span social media (46.4%) and search engines (54%, incl. AI search entries); brand content should be optimized for both "algorithm-friendly" and "AI-citation-friendly" — short video for exposure and seeding, structured articles for AI citation.
Third, monitor the share landscape dynamically. Gemini grew nearly 80% in two months (8.99% to 16%), and Thai-language models keep evolving — Thailand is not a static market where "only ChatGPT matters". Per-model, per-language monitoring is a necessary setup.
VIClosing
Thailand's AI auto-consumer story is "in progress", not "done": 85.8% have touched AI, but only 23.3% use it monthly; AI is not yet the protagonist of car-buying decisions, but it is already a weapon in the content war.
For Chinese EV makers, the window is exactly this "transition period" — occupy social feeds and AI corpora with AIGC at the same time, so that the day Thai consumers truly start "asking AI which car to buy", the answer already contains you.
FAQ
Four questions directly related to the Thailand judgment.
TrendAre Thais really using AI to choose cars?
Yes, but lightly. 85.8% of internet users aged 16+ used an AI tool in the past month, while only 23.3% use ChatGPT monthly, below the 26.5% global average — AI is an information touchpoint today, not a decision advisor.
TermWhat is GEO? Why does Thailand need Thai-language GEO?
GEO (Generative Engine Optimization) makes brand content the factual basis of AI answers. Thai is under 0.5% of mainstream LLM corpora, so brands that build structured Thai content first will occupy scarce source positions in Thai answers from ChatGPT, Gemini and Typhoon.
MethodWhy do Thai-language AIGC short videos work especially well?
Because Thailand is a social-heavy decision market: social media takes 46.4% of most-trusted sources and 35.6% read reviews before buying. Batch Thai videos feed both the social algorithms and the scarce Thai corpora — one asset, two battlefields.
BoundaryCan content placement guarantee AI citations?
No. AI citation depends on content structure, authority and model strategy; no institution can guarantee specific inclusion, citation or ranking. This series provides market baselines and monitoring methods, not performance promises.
More questions — what TMAIC measures, how IPS is computed, the link between AI citation and sales — see the FAQ section on ipsmoto.com.
Related reading
16-Country Overview: the global map of AI in auto consumption — two dimensions, four quadrants(Series opener; see where Thailand sits)
China: 515M generative-AI users; 88.6% use AI search before buying(The most mature market — a contrast to Thailand's "light use")
Japan: 88% research online, 94% confirm in store(The cautious-incremental counterpart)
Indonesia: 93.6% of netizens use AI monthly; AI is the market's most influential "opinion leader"(Same Asia, opposite path: AI already decides what to buy)
Saudi Arabia: 58% have used generative AI; 53% willing to buy fully online(The strongest-intent market: mainstream adoption, conversion pending)
IPSmoto is a global automotive AI marketing data and growth platform, helping auto brands build new competitive advantages in an era when AI is reshaping how consumers choose, buy and use cars.
The platform continuously tracks major auto markets worldwide and 11 mainstream large models. Built on AI data research across the full consumer journey, with IPS (Intelligent Promotion Score) as its core measurement system, it establishes benchmarks and insights for brand AI competitiveness.
Through brand and model IPS rankings, AI high-citation source research, industry insights and AI competitiveness consulting, IPSmoto helps brands identify gaps and growth opportunities — and turns insight into action via brand knowledge assets, website optimization, authoritative source building and GEO strategy.
Measure AI Competitiveness. Build AI Advantage.
Notes on basis: 85.8% is "internet users 16+ who used any AI tool in the past month"[2], 23.3% is "monthly ChatGPT use"[1]; the two differ in question wording, survey wave and source report, are not interchangeable, and are not compared period over period. The two StatCounter columns are different months of the same dataset — directional only. The Thai corpus share is a directional estimate, not a precise figure. No public Thai survey on AI-assisted car buying was found in this series; related conclusions reference social-commerce and model-share data.
Data window: Oct 2025 – Apr 2026; citations current as of Nov 2026.
REFERENCES
References
Numbered in order of first citation, APA 7th ed. (web pages, datasets and organization sites). All links retrieved on 2026-11-04.
[1] DataReportal. (2025). Digital 2026: Thailand. We Are Social & Meltwater. Retrieved 2026-11-04. https://datareportal.com/reports/digital-2026-thailand
[2] DataReportal. (2026). Digital 2026 mid-year global update report. We Are Social & Meltwater. Retrieved 2026-11-04. https://datareportal.com/reports/digital-2026-mid-year-global-update-report
[3] StatCounter. (2025). AI chatbot market share — Thailand, Jan–Dec 2025 [Data set]. Retrieved 2026-11-04. https://gs.statcounter.com/ai-chatbot-market-share/all/thailand/2025
[4] Iconic Research. (2026). AI Thailand: The opportunity is real, but so is the complexity. incl. StatCounter Dec 2025 figures and the Thai corpus share estimate. Retrieved 2026-11-04. https://iconicthai.com/?p=1754
[5] China Economic Net. (2025-07-25). "AI marketing" drives automakers onto the fast lane: YouChe Technology reshapes the growth engine with full-chain marketing services. China Economic Times. Retrieved 2026-11-04. https://www.cet.com.cn/wzsy/ycxw/10234511.shtml
[6] Taiguo.com. (2025). Thailand's digital life in 2025: TikTok favorite, AI as daily companion. Chinese summary of DataReportal, Digital 2026: Thailand. Retrieved 2026-11-04. https://www.taiguo.com/archives/13585
[7] SCB 10X. (n.d.). Typhoon — Open Thai LLM. Retrieved 2026-11-04. https://opentyphoon.ai
[8] AIEAT. (n.d.). OpenThaiGPT. Retrieved 2026-11-04. https://openthaigpt.aieat.or.th
[9] NECTEC. (n.d.). Pathumma — Thai large language model. Retrieved 2026-11-04. https://www.nectec.or.th