The AI boom reaches Thailand through its factories. The 2026 IMF and World Bank Annual Meetings in Bangkok left a practical question behind: how the same boom reaches the corner shop, the family farm and the five-person studio.
The Trade Policy and Strategy Office (TPSO) of the Ministry of Commerce answers with Small AI, meaning low-cost, task-specific tools that need no large system investment, as set out in its published assessment of the meetings.
The short version
Thailand is one of the four leading exporters of AI hardware in the world, and the IMF still forecasts Thai GDP growth of 2.1% for 2026. TPSO points to productivity as the way to narrow that gap, and it places small businesses at the centre of the effort.
- The hardware boom is real. Exports of telephones and components grew 117.5% in September 2026, and AI-related industries drew more than THB 127 billion of actual investment in the second quarter.
- Small and medium-sized enterprises (SMEs) provide roughly seven in every ten Thai jobs. TPSO wants them to use AI for market analysis, stock planning and overseas sales.
- The World Bank calls this approach Small AI: affordable tools built for one task and delivered on devices people already own. Thailand already has an example in Nok Krasip, an assistant that nearly one million small merchants use.
- The Ministry of Commerce is pursuing three steps: promote AI in SMEs, back Thai builders of Small AI tools, and use AI to find overseas markets.
- The practical first move for a Chiang Mai business is one repeated task, measured before and after.
A resilient global economy powered by AI investment
The IMF projects global growth of 3.1% in 2026, rising to 3.4% in 2027. TPSO, part of the Ministry of Commerce, reads the outlook as resilient despite pressure from geopolitical conflict, energy costs, trade risks and technological change.
TPSO identifies investment in artificial intelligence and digital infrastructure as the main driver of that resilience, and reports world trade growth of up to 8.3% over 2023 to 2025 on the back of it. The meetings ran in Bangkok from 12 to 18 October 2026, the second time Thailand has hosted the event after 1991.
The venue carries some history. The Bangkok convention centre that hosted the sessions was built for the 1991 Annual Meetings. For 2026, Finance Minister Ekniti Nitithanprapas set two conditions for incoming foreign investment: technology transfer with upskilling in fields such as AI, and supply chain links for domestic SMEs. The second condition is the thread that connects the investment story to the Small AI story.
Thailand’s place in the AI supply chain
The IMF places Thailand alongside South Korea, Malaysia and Taiwan among the world’s four leading net exporters of AI-related hardware. The IMF definition covers computer equipment and components, semiconductor manufacturing machinery, processors and memory chips. TPSO measures the strength of that position relative to GDP, where Thailand also sits in the top four.
The export data for September 2026 shows the same pattern. Industrial exports grew 25.4%, and the leading product groups grew as follows.
| Product group (September 2026, year on year) | Export growth | Consecutive months of growth |
|---|---|---|
| Telephones, equipment and components | 117.5% | 16 |
| Computers, equipment and components | 59.4% | 30 |
| Printed circuit boards | 45.9% | 4 |
| Electrical appliances and components | 34.8% | 10 |
| Transformers and components | 32.2% | 24 |
Source: TPSO figures reported by Bangkok Biznews
Investment follows the same direction. Actual investment in AI-related industries under projects promoted by the Board of Investment passed THB 127 billion (about USD 3.6 billion) in the second quarter of 2026. That figure represents roughly half of all actual investment in the quarter and more than double the level of a year earlier. The projects cover optical communication equipment, printed circuit boards, hard disk drives, smart appliances and digital infrastructure.
The IMF forecasts Thai GDP growth of 2.1% for 2026, and TPSO cites the same rate for 2027. TPSO draws a clear conclusion from the gap between export strength and headline growth: Thailand gains most by raising the productivity of its entrepreneurs, moving to higher value products and services, and widening its export markets. Finance Minister Ekniti Nitithanprapas stated at the meetings that investment-led policies can lift growth above the IMF forecast, and the Bank of Thailand expects growth of around 2.3% in 2026.
What the export numbers do not show
Export tables count what factories ship. Thailand is the world’s second-largest exporter of hard disk drives, supplying roughly 17% of global output according to a Korea JoongAng Daily analysis, and hard disk drives are one of the product lines behind the investment figures above. Export tables say little about the day-to-day work of the roughly 3.3 million SME operators that OSMEP counts.
IMF Managing Director Kristalina Georgieva drew a related line in Bangkok. Reports of her remarks say she credited AI-related spending with keeping global growth near 3% and named the hardware builders, Thailand among them, as the biggest winners, while warning that the gains concentrate in a few Asian exporters and carry risks of inequality and inflation.
That framing gives the 2.1% forecast a constructive reading. The boom is real and measurable at the factory gate. The remaining work is to carry the same benefit into the businesses that employ most Thai workers, and Small AI is the tool the Ministry of Commerce has chosen for that work.
Why SMEs hold the key
The Office of SMEs Promotion (OSMEP) counted 3,255,957 SME operators in 2024, which is 99.5% of all operators. SMEs generated THB 4.8 trillion, or 34.8% of GDP, in the first three quarters of 2025 and employ 13.4 million people, or 68.8% of total employment. Roughly seven in every ten Thai workers draw their income from an SME, so a productivity gain in this group moves the national figure and household incomes together.
AI adoption is already under way, and two surveys measure it differently. The National Electronics and Computer Technology Center (NECTEC) surveyed 574 organisations for its 2026 AI Readiness Survey and found that 53.7% use AI, three times the share of 2024. The UOB Business Outlook Study 2026 surveyed 265 business owners and senior decision-makers and reports that more than 70% of SMEs are implementing AI, with 58% of adopters reporting lower costs and 44% reporting higher productivity.
| Organisation size | Use AI (NECTEC 2026) |
|---|---|
| Small | 43.8% |
| Medium-sized | 48.5% |
| Large | 67.2% |
Source: NECTEC AI Readiness Survey 2026
Both surveys point to the same next step. NECTEC finds that 40.8% of organisations have data ready for AI use and that 86.4% of AI users cannot yet state the results they achieved. A narrow tool aimed at one task needs less data to start and produces a single result that a business can measure, which fits both findings.
What Small AI means
The World Bank introduced Small AI at the Bangkok meetings through a session titled “Small AI: More and Better Jobs”, held on 12 October with World Bank Group President Ajay Banga, IMF Managing Director Kristalina Georgieva and Thailand’s Finance Minister Ekniti Nitithanprapas among the participants. The World Bank describes Small AI as affordable, accessible and tailored to local context. These tools work with smaller datasets, run on everyday smartphones or laptops, target one clearly defined problem, and build on networks people already use, such as messaging apps. World Bank examples include a crop disease diagnosis app in Kenya and a maths tutor delivered by WhatsApp in Ghana that costs about USD 5 per student per year.
The World Bank positions Small AI as a different path from the race to build ever larger models. Banga said advanced models may disrupt some jobs in wealthier economies, while small-scale applications raise productivity and create employment in middle-income and lower-middle-income economies. The World Bank frames the stakes around jobs: 1.2 billion young people reach working age in developing countries over the next 10 to 15 years, while those economies are projected to create about 420 million jobs. On 20 October the World Bank Group launched its first digital strategy in Seoul with Small AI at its centre. It also launched a strategy for micro, small and medium-sized enterprises that uses data and digital tools to widen access to finance and new markets.
Small AI is also a statement about dignity. Banga said employment is not limited to jobs in large or small companies and includes entrepreneurship and other productive activity that carries dignity and economic inclusion. The session moderator noted that the term itself grew out of a World Bank Jobs Council conversation with Tharman Shanmugaratnam, which places the idea inside the Bank’s wider push for more and better jobs.
For Thai SMEs, TPSO draws a practical lesson. Small AI does not require a large system investment. A business chooses a tool that fits its own operations, and TPSO lists market analysis, demand forecasting, order management, product information and communication with overseas customers as the starting points.
Small AI already at work in Thailand
Thailand brought a working example to the session. Nok Krasip, known in English as Whispering Bird, is an AI assistant inside the Thung Ngern (Money Bag) app that the government launched on 1 June 2026 for small merchants. It analyses sales, costs and profit margins, and it shows daily reference prices for key ingredients through a link with the Department of Internal Trade at the Ministry of Commerce. Merchants use it to compare current costs with selling prices, confirm the margin and plan stock.
An ordinary morning, illustrated
Picture a registered merchant who runs a noodle shop. Pork, chicken and vegetables cost a different amount each week, and the menu prices follow habit more than arithmetic. Nok Krasip places the day’s reference ingredient prices beside the shop’s selling prices and shows where the margin has thinned. The owner raises one price by a few baht and trims one portion. Nothing else about the shop changes, and the owner makes one decision with better information. This is an illustration, not a case study, and it describes no single shop.
That small decision is the point of the idea. Small AI does not replace the owner’s judgement, and it does not ask the owner to learn a new discipline. It places one missing number in front of a person who already knows the business. The government introduced the assistant alongside a support programme for small merchants facing the energy shock, so the tool arrived with a reason attached.
Ekniti told the Bangkok session that nearly one million small merchants now use the assistant. He framed the national approach in three parts: AI in All, which raises the productivity of existing jobs and businesses; All in AI, which builds skills and new jobs; and AI for All, which spreads the benefits widely. The government also intends to lower the cost of computing and AI tools for start-ups, SMEs and universities, so that smaller players can build and use AI rather than leaving it to large companies. The Thai government’s account of the session describes the same priorities.
Three Ministry of Commerce initiatives
TPSO notes that the benefit of AI investment reaches the wider economy when that investment links with Thai entrepreneurs, builds workforce skills and strengthens the capability of SMEs. The Ministry of Commerce is advancing three initiatives to deliver that link.
Promote AI use in SMEs
The ministry supports accessible, affordable tools and teaches marketing, data analysis and digital trade. TPSO points to agriculture, manufacturing, tourism and the creative economy as priority sectors.
Develop Thai builders of Small AI
The ministry connects Thai technology developers with SMEs to create tools that fit real trade needs. TPSO gives four examples: crop yield and harvest timing for farmers, production planning and raw material forecasting for processors and manufacturers, delivery planning and inventory management for transport and distribution firms, and demand analysis and order coordination for exporters working with overseas buyers.
Connect market data to the supply chain
Small AI supplies insight on target markets, consumer behaviour and trade measures, and links entrepreneurs with importers and overseas sales channels, which supports planning and export income. Exporters that want the same reach in trade media can use trade PR for export-oriented businesses from CMBN Media Services.
Read together, the three initiatives form a chain. The first puts tools in the hands of the business owner. The second makes sure Thai developers build those tools for Thai conditions, so the tools speak to Thai crops, Thai factories and Thai buyers. The third points the same tools outward, so the information that helps a business run better also helps it find a customer abroad.
TPSO concludes that turning global economic trends into practical tools helps Thai SMEs cut costs, reach new markets and stay competitive over the long term. The full statement appears in Thansettakij and Bangkok Biznews.
What Small AI will not fix
Small AI removes the cost barrier and leaves other barriers in place. The NECTEC survey records them. Governance scored 28.9% on its readiness scale, and the survey names it the weakest dimension in every size group. Among organisations not yet using AI, 51.4% named a clear regulatory framework as their top priority and 48.6% asked for an advisory centre.
Measurement is the second gap. Only 13.6% of AI users have measured clear positive outcomes, so many businesses use AI without knowing what it returns. TPSO adds the third gap in its own words: investment links with Thai entrepreneurs, workforce skills and SME capability must grow together for the benefit to spread widely.
What Chiang Mai businesses can do now
Agriculture, tourism and the creative economy are the sectors TPSO names first, and all three are core to the Chiang Mai business community. The Small AI approach is practical at the scale of a single shop, farm, studio or small hotel, because it starts with one task rather than a system overhaul. The aim is a result the owner can count.
- Choose one task that repeats every week, such as pricing a menu, forecasting stock, answering the same customer questions or writing product descriptions for overseas buyers. TPSO’s starting list covers market analysis, demand forecasting, order management, product information and communication with overseas customers. CMBN’s guide to why AI tools fail in small businesses describes a 30-minute exercise for mapping one task first.
- Record a baseline before using any tool. Note the hours the task takes, what it costs and how often it goes wrong. NECTEC finds that 86.4% of AI users cannot state their results, and a baseline removes that problem on day one.
- Start with a tool that already exists. Merchants registered in the Thung Ngern app access Nok Krasip for sales, cost and margin analysis, and OSMEP co-funds business systems such as point of sale and inventory software.
- Tidy the data the tool reads. NECTEC finds that only 40.8% of organisations have data ready for AI use, and clean sales records, price lists and customer details give a narrow tool what it needs to start.
- Review after 30 days against the baseline and keep the changes that improve the numbers.
- Present the business as a supplier. TPSO ties the benefit of AI investment to links between investors and Thai SMEs in the supply chain, and a business with clean records and a measured process is easier for a buyer to assess. A listing in the Golden Pages directory gives buyers a place to find the business.
Chiang Mai sits inside the national programmes. The Electronic Transactions Development Agency (ETDA) named Chiang Mai among 16 target provinces for its 2026 SMEs Growth programme, which covers commerce, tourism and hospitality services, and manufacturing. The programme offers a digital maturity assessment, AI readiness tools, advisory clinics and co-funding for business development services. OSMEP separately co-funds 50% to 80% of the cost of business systems such as point of sale, invoicing and inventory software. CMBN covered an earlier national AI programme for small businesses that also included a Chiang Mai roadshow.
The TPSO statement does not give dates or budgets for the three initiatives, so businesses follow Ministry of Commerce announcements for programme details as they appear.
Next step with CMBN
Chiang Mai Business Network connects local businesses with peers and service providers through CMBN membership. CMBN Media Services runs an AI readiness programme that helps Chiang Mai businesses get named in answers from AI assistants such as ChatGPT and Gemini.
Frequently asked questions
What is Small AI?
Small AI is the World Bank term for task-specific AI tools built for one clear problem, adapted to local conditions and delivered on devices people already own. Examples include a merchant assistant for sales and costs, a crop advisory tool and an inventory planner.
What did the IMF forecast for Thailand in 2026?
The IMF October 2026 World Economic Outlook projects Thai GDP growth of 2.1% for 2026. The IMF also names Thailand one of the four leading net exporters of AI-related hardware, alongside South Korea, Malaysia and Taiwan.
What is Nok Krasip?
Nok Krasip, or Whispering Bird, is an AI assistant in the Thung Ngern app that analyses sales, costs and profit margins for small merchants. The government launched it on 1 June 2026, and nearly one million merchants now use it.
Why do SMEs matter to Thailand’s economy?
SMEs make up 99.5% of Thai operators, generate 34.8% of GDP and provide 68.8% of employment, according to OSMEP.
Which programmes reach Chiang Mai SMEs?
The ETDA SMEs Growth 2026 programme names Chiang Mai among its 16 target provinces and offers digital maturity assessments, AI readiness tools and advisory clinics. OSMEP co-funds business systems for SMEs.
What are the three Ministry of Commerce initiatives?
The ministry promotes AI use in SMEs, develops Thai builders of Small AI tools, and uses Small AI to connect market data with supply chains and overseas buyers.
Does Small AI take jobs?
Banga said advanced AI models may disrupt some jobs in wealthier economies, while small-scale applications raise productivity and create employment in middle-income and lower-middle-income economies. The World Bank frames Small AI as a jobs strategy.
What is the first step for a small business?
The first step is one task that repeats every week, measured before and after the tool arrives. NECTEC finds that 86.4% of AI users cannot state their results, and a simple baseline closes that gap.
