TL;DR
- YouGov surveyed 3,983 small business owners online in nine APAC markets, Thailand included, from 6 Aug to 2 Sep 2026, on commission from Meta.
- 71% of owners said AI had a positive impact on revenue or sales over the past 12 months; the figure is self-reported, not measured.
- Among AI users, 51% use it for content creation, 43% for local advertising and marketing, 38% for translation and 37% for customer support.
- Cost is the top barrier to AI training (51%); owners want clearer cost and ROI information plus data privacy and security guidance.
- Meta's 14 Oct 2026 Newsroom post publishes pooled results only and says they are not nationally representative; no Thai-only figures were published.
A Meta-commissioned YouGov survey of 3,983 small business owners in nine Asia-Pacific markets, including Thailand, found that 84% currently use AI and 76% say it has made them more productive, but 86% say small businesses need more guidance to get the full benefit. Meta published the results on its Newsroom on 14 October 2026 in a post by Beth Ann Lim, Meta's Director of Public Policy Strategy for APAC. The post gives pooled figures only and publishes no Thailand-specific numbers.
Who Meta and YouGov surveyed, and how
According to the Meta Newsroom post of 14 October 2026, Meta commissioned YouGov to run the survey online between 6 August and 2 September 2026. The sample was 3,983 small business owners across Australia, Singapore, Vietnam, Indonesia, Taiwan, India, Thailand, Japan and Hong Kong.
Within each market, YouGov applied quotas by business size, covering firms with 1-9, 10-19 and 20-49 employees. Meta states that the results are not nationally representative of the small business population in each market. It describes them instead as insights across a diverse cross-section of small businesses.
Meta also notes that adoption and impact differ across the nine markets, and that this may partly reflect how owners interpret the questions, translation, and local norms in how people answer surveys. That caveat matters for anyone trying to read the regional figures as a Thai benchmark, which the post does not support.
The headline findings
Meta's 14 October 2026 post reports the following pooled results across all nine markets:
- 84% of owners currently use AI.
- 76% report a positive impact on productivity.
- 71% report a positive impact on revenue or sales over the past 12 months.
- 80% agree AI helps small businesses compete more effectively with larger companies, and the same share say AI makes starting a business easier.
- 83% agree AI lets small businesses do things that previously required significantly more money or resources.
The figures are self-reported. A respondent who says AI had a positive impact on sales is giving a perception, not a measured result. The post does not describe any question about how owners measured that effect.
Where small businesses use AI
The post also reports what owners who used AI in the past 12 months used it for. The four uses Meta lists are shown below.
| Use of AI (owners who used AI in the past 12 months) | Share |
|---|---|
| Content creation or editing | 51% |
| Local advertising and marketing | 43% |
| Translation | 38% |
| Customer support and communications | 37% |
Three of the four uses are marketing or customer-facing work. Content and advertising lead the list, ahead of translation and support. The post does not say whether owners used general-purpose AI chat tools, AI features inside ad platforms, or both.
What owners do with the time they save
Among owners who reported a productivity gain, Meta says 58% use the saved time to improve the quality of existing work, 50% put it into growth and business planning, and 46% get more done with their existing team. The three shares add up to 154%, so respondents could pick more than one answer.
The guidance gap: 86% want more help
The second half of Meta's headline is about guidance. 86% of owners said small businesses need more guidance to gain the full benefits of AI. Meta's own summary of this is that small businesses "have adopted AI" and are now asking for help using it well.
Cost is the leading barrier to training, cited by 51% of owners. The post says owners most want two kinds of help:
- Clearer information on cost and return on investment.
- Guidance on data privacy and security.
Meta frames the policy response as free training, clearer cost and return information, and policies that support access to AI and digital skills. The post does not quantify how many owners asked for each type of guidance beyond the 86% and 51% figures.
What Meta is promoting alongside the survey
The survey is commissioned research, and the post is partly promotional. Readers should keep that in mind. Meta ties the findings to three things.
First, the Meta Small Business Growth Academy, which Meta launched across Asia-Pacific earlier in 2026. It runs with governments, chambers of commerce and local programme partners, and covers AI-enabled advertising, Reels, WhatsApp for Business and cross-border commerce.
Second, a set of Meta products the post names for small businesses: Advantage+ to create and run ads, click-to-WhatsApp ads to move people into conversations, and Meta Business Agent to handle customer enquiries automatically.
Third, a case study. Meta says Zayya, an Indonesian modest-fashion brand founded by Husnul Khotimah, used Academy training to expand into Malaysia on a daily ad budget of Rp30,000 (about US$1.68, per Meta). Meta says she generated 50 enquiries and cut customer response times from 30-60 minutes to under two minutes, and that she reported more than eight times return on ad spend for that campaign. These are figures reported by Meta about one business. The post does not give the campaign length, total spend or how ROAS was calculated.
What the survey does not tell you
Several limits are worth naming plainly:
- No published Thailand breakdown. Thailand is one of the nine markets, but the post publishes no per-market figures, and Meta says results differ by market.
- Commissioned by an interested party. Meta sells the AI ad tools and messaging products the post recommends.
- Not nationally representative, by Meta's own description.
- Self-reported impact. "Positive impact on revenue" is the owner's view, not audited sales data.
- No full report linked. The post does not link to a questionnaire or full results, so question wording cannot be checked.
None of this makes the survey useless. It is a reasonably large sample with a stated method and fieldwork dates. It shows which tasks small businesses in the region say they use AI for, and it gives a clear signal that owners want help with ROI and privacy. It is not evidence of how much AI raises sales.
Practical guidance for small business owners (analysis)
The steps below are analysis based on the survey's findings, not advice from Meta or YouGov. They focus on the two gaps owners named: knowing whether AI is paying off, and handling data safely.
Measure AI-assisted marketing against a baseline
The survey shows 43% of AI users apply it to local advertising and marketing, and 71% believe AI has helped revenue. The easiest way to move from belief to evidence is to record a baseline before changing anything: weekly enquiries, cost per enquiry, and sales from each channel. Then change one thing, such as switching to AI-generated ad variations or an automated reply flow, and compare like-for-like weeks. If you run Meta ads, compare Ads Manager results with your own order or chat records, not only the platform's numbers.
Treat response time as a metric
The Zayya example in Meta's post centres on response time falling from 30-60 minutes to under two minutes. Whatever tool you use, response time to messages is easy to track and directly affects whether an enquiry becomes a sale. For Thai businesses, that usually means LINE OA and Facebook Messenger as well as WhatsApp; the post discusses WhatsApp only.
Check what customer data goes into AI tools
Owners told YouGov they want guidance on data privacy and security. Before pasting customer names, phone numbers or order histories into an AI tool, check the tool's data-use terms and whether your business has the customer's consent to process that data that way. Keep an internal list of which tools touch customer data.
Review AI content before it goes live
Content creation is the most common use in the survey, at 51%. AI drafts still need a human check for factual claims, prices, brand tone and, for Thai businesses, natural Thai phrasing. Translation, used by 38%, needs the same review, especially for ad copy aimed at a market whose language the owner does not read.
Spend training budget where the gap is
Cost blocks training for 51% of respondents. Free programmes such as the Meta Small Business Growth Academy exist, but they teach Meta's own tools. Owners should weigh that against what they actually need, which the survey suggests is ROI measurement and data handling as much as tool features.
What this means for Thai marketers
Thailand was in the sample, but Meta published no Thai figures, so the 84% and 86% numbers cannot be quoted as Thai statistics. What can be said is that across a nine-market sample that includes Thailand, owners report using AI mostly for content and local advertising, and say they lack guidance on cost, return and privacy. For Thai businesses running ads on Facebook and Instagram, the practical question is less whether to use AI and more whether its effect is being measured. That is where an outside Facebook ads review or a structured content marketing plan can help.
FAQ
How many small businesses use AI, according to Meta's survey?
84% of the 3,983 small business owners surveyed said they currently use AI. The figure is pooled across nine Asia-Pacific markets and comes from a Meta-commissioned YouGov online survey run from 6 August to 2 September 2026.
Are there Thailand-specific results?
No, the Meta Newsroom post of 14 October 2026 publishes no Thailand-only figures. Thailand is one of the nine surveyed markets, and Meta says results vary by market, but only regional totals are released.
Who paid for the survey?
Meta commissioned the survey and YouGov conducted it. Meta also sells the AI advertising and messaging tools mentioned in the post, so the findings should be read with that interest in mind.
What is the biggest barrier to AI training for small businesses?
Cost is the leading barrier, cited by 51% of owners. Owners also said they want clearer information on cost and return on investment, and guidance on data privacy and security.
Is the survey representative of all small businesses?
No, Meta states the results are not nationally representative of the small business population in each market. They reflect a cross-section of businesses with 1-49 employees, sampled with quotas by size.
Meta's survey suggests AI is already part of marketing for many of the small business owners it sampled, and that they want clearer information on cost and return. For Thai SMEs, that gap is where measurement and planning matter most. If you want help connecting AI-assisted ads to real sales numbers, Relevant Audience's paid social team can talk it through with you.
