As you read this, thousands of people are in a convention hall in Bangkok. Techsauce Global Summit, 26 to 28 August, at the Queen Sirikit National Convention Center. Three hundred sessions, hundreds of exhibitors, and one word on every lanyard and every panel title. The word is next. The race to the next model, the next unicorn, the next Thailand.
So I want to be a little contrarian this week and not talk about next. I want to talk about what Thailand has already won, because it has won real things and nobody on that main stage is going to say them plainly. And then I want to ask the only question that actually matters when the music is this loud and the capital is this cheap.
Not what is next. Next, owned by whom?
Because here is the number I cannot get out of my head. This year Thailand pulled in more than two billion US dollars of AI data centre money. Microsoft, Google, ByteDance, the whole parade. Thai AI startups, the actual companies with founders and cap tables, raised about four million.
Same country. Same year. Two billion and four million.
Say those back to back and you barely need the rest of this piece. But stick around, because the gap between them explains almost everything about Thai tech right now.
The country is the host, not the guest of honour
Start with the money, because a lot of it is real. Microsoft has committed over a billion dollars to Thai cloud, AI and data centres running from 2026 through 2028. Google opened a Bangkok cloud region in January and put a number on it, forty billion dollars of economic value over five years. ByteDance is building too. National IT spend this year is heading toward 1.1 trillion baht.
If you are the Thai government, this looks like winning. The photos are great. Prime minister, hard hats, ribbon, a rendering of a big grey building with a lot of cooling on the roof.
I want to be fair, because this is not nothing. Data centres mean construction, power upgrades, some high-skilled jobs, a reason for engineers to stay in the country. Real assets get built. That matters.
But I have been doing this long enough to have one reflex when a big number lands on the table. I ask who owns the thing the number is attached to. So let us do that. Who owns the compute in those buildings? Microsoft, Google, ByteDance. Who owns the models running on it? The same names. Who owns the margin, the recurring, high-fat software margin that compounds for twenty years? The same names again.
And what does Thailand own? The land. The power lines. The water. The local joint venture partner who helped with the permits. The electricity bill.
There is a phrase for this and it is not AI hub. It is compute arbitrage. Thailand is renting out cheap power, cheap land and a plugged-in population of seventy million to companies headquartered eight thousand miles away. The country is the host. It is not the guest of honour.
Now hold that against the four million dollars that actual Thai AI founders raised this year, per DealStreetAsia data. A country can host the entire weight of global AI on its soil and fund almost none of its own.
Capex or equity: the question to ask all week
Here is the part I want founders to hear, because it is where this gets useful and not just cynical. When you are at Techsauce this week, or reading about it afterwards, and somebody says Thailand’s AI investment hit record levels, stop and ask them one thing. Capex or equity?
Data centre capex is offshore-owned infrastructure. Startup equity is Thai-owned companies. They are two completely different things, and this week they will be blended into one flattering headline every single time.
Capex builds someone else’s asset on your land. Equity builds your asset. Full stop.
The win for Thailand is not the ribbon cutting. It is the day a Thai company owns a real layer of this, something above the substation and the security fence. Until then, be honest about what you are celebrating. You are celebrating being a very good landlord.
There is nothing wrong with being a landlord. Ask Singapore. But a landlord does not get wealthy the way the tenant does, and the tenants here are trillion-dollar American software companies. Just know which side of the lease you are on.
The champion, and the question underwriters will circle
If the hyperscalers own the infrastructure, where is the Thai champion? Where is the homegrown AI company we can actually point to? There is one. It is called Amity.
And it is genuinely impressive, which is what makes this interesting. I am not here to knock it. I am here to hold it up to the light.
Amity raised a hundred million dollar Series D in March, one of the largest generative AI rounds in all of Southeast Asia. Revenue over a hundred million a year, up more than tenfold since 2022, targeting two hundred million by the end of this year, and lining up an IPO in 2027. Enterprise AI, chatbots and agents for big organisations: banks, government, retail. By any measure this is a real company. Not a deck and a dream. Revenue.
Now here is the detail that tells you a lot about how Thai tech actually works. Amity was founded by Korawad Chearavanont, grandson of the founder of CP Group and son of CP Group’s current chief executive. CP is the largest private company in Thailand. It owns 7-Eleven across the country. It is the majority owner of True, one of the two big telcos. It is in food, agriculture, retail and property, and basically everything you touch in a Thai day.
So picture the founding conditions of this startup. You are building an enterprise AI company, and your first potential customers include the biggest convenience store operator in the country, one of the two largest telcos, and a web of banks and companies that all sit inside or next to your family’s group. CP All, the 7-Eleven operator, True and PTT all show up as Amity clients.
I need to be precise here, because the lazy version of this take is wrong and I do not want to do the lazy version. The lazy version is that it is just selling to daddy’s companies. That is not accurate. Reporting is clear that only about 35 to 40 percent of Amity’s revenue is generated in Thailand at all, and the company says the majority of its revenue and customers are now outside Thailand entirely. So it is not a captive shell. It has gone and won business in other markets.
Credit where it is due, and the accurate version is more interesting than the lazy one anyway. Amity may have been born captive and then grown out of it. A family conglomerate handed a young founder the one thing no other founder in Bangkok can get at any price: a guaranteed home market. Banks, state enterprises, 7-Eleven and True as your first reference points, all while you are still figuring out the product. In enterprise software, a trusted first customer who will not churn while you learn is extremely valuable. He got a whole portfolio of them at the birth of the company.
And look, if I am the investor writing that Series D cheque, I do not hate this. A de-risked launch market is a feature. It is plausibly why the thing scaled from ten million to a hundred million of revenue in two years, after taking almost a decade to reach the first ten. The family base was the launch pad.
But here is the question I would put on the table if I were sitting across from them, and it is the question underwriters are going to circle before that 2027 IPO. How much of that hundred million plus is arm’s length, won on the merits from customers who could have picked anyone? And how much is related party, business that flows because of the name on the building?
That is not an attack. That is diligence. It is the single most important number in the whole story and it is the one that never makes the press release. If most of it is arm’s length, Amity is a genuine Southeast Asian software champion, and I would love to say that loudly. If a big chunk of it is the family buying from the family, then the valuation is telling you a story the revenue quality does not back up.
I do not know the answer. Neither do you, and neither does most of that convention hall. But now you know the question. When a Thai founder tells you their startup is crushing it with enterprise logos, the first thing to gently ask is: whose enterprise?
And for the ninety-nine percent of Thai founders who do not have a billionaire relative, the lesson is brutal and important. Your hardest first year is finding a customer who will trust you before you have proof. Amity basically skipped that year. You will not. Plan for it.
First to adopt is not the same as first to win
Here is where Thailand genuinely leads, and where the lead is thinner than it looks.
Thailand has the highest AI adoption in ASEAN. Not second, first. An AWS report this year puts it plainly: 43 percent of Thai businesses now use AI consistently, up from 32 percent a year ago. Ninety percent of Thai students use generative AI. The country took to this faster than anyone else in the region.
If you only read the headline, Thailand looks like it is running away with it. Then you read the next line, and the next line is the whole story in one statistic. Seventy-four percent of those adopters are stuck at what the report calls the basic stage. Off-the-shelf chatbots, ready-made tools, someone in the office with ChatGPT open in a tab. A few people paste things into it. The actual work, the workflows, the decisions, the output, has not really changed.
Longtime listeners will remember Tiwa York on this show calling this exact thing the level 1.5 trap. A company where AI is bookmarked, mentioned in the strategy deck, played with by a few keen people, and yet nothing downstream is different. He called it adoption theatre. Thailand has just gone and proven you can run adoption theatre at the scale of an entire nation.
I want to be careful, because first to adopt is not worthless. It means the workforce is not scared of these tools. It means a founder in Bangkok is selling into a market that already says yes to AI instead of flinching at it. That is a real tailwind and I would not throw it away.
But adoption is not advantage.
Bookmarking ChatGPT is not a moat, it is table stakes. If the whole country is at level one and a half, then the whole country is standing at the same starting line and the race has not actually begun.
Which is exactly where the opportunity is, and it may be the best applied AI opening in the region. The gap between 43 percent are using it and 74 percent of them are stuck at basic is a market. That gap is thousands of Thai businesses who have already said yes to AI and have no idea how to go from playing with it to running on it.
They do not need another chatbot wrapper. They have twelve of those. They need someone to rebuild an actual workflow in Thai, on Thai documents, Thai regulation, Thai customer behaviour. The unglamorous, deep, vertical work. Take one industry, one painful process, and move a Thai company from level one and a half to level three.
That is not going to be the Techsauce keynote. It is a boring, valuable, defensible business, and the demand is already sitting there, pre-warmed and waiting. A country that adopts the fastest and builds the least is leaving the entire middle of the value on the table. If you are a Thai founder, that middle is yours to take. Nobody in that hall is really talking about it, because it does not sound like the future. It just prints money.
Bet on the boring strength
Now let me stop being the skeptic, because this is the part where I am genuinely bullish.
Thailand keeps trying to win a race it is not built to win, the pure software, pure model, out-innovate Silicon Valley race. And it keeps quietly sitting on top of a thing it already dominates and barely talks about. Thailand makes things.
Thailand is the largest automotive manufacturing hub in Southeast Asia, more than 1.8 million vehicles a year, with Toyota, Honda, BMW, Mercedes and a deep, decades-old base of Japanese tier-one suppliers. It is basically the Detroit of Asia, and for once the nickname is earned.
And where you have factories at that scale, you have robotics. Thailand’s industrial robot density is somewhere around 70 to 90 robots per 10,000 manufacturing workers. Treat that as directional rather than gospel, but it puts the country second in Southeast Asia behind Singapore and inside the global top fifteen or so for installed industrial robots. This is a country that already runs automation at national scale on the factory floor.
Here is why that matters this year and not in the abstract. Two things are happening at once. One, a huge part of that robot base is old, ten to fifteen years old, installed for the old way of building petrol cars, and due for replacement. Two, Thailand has a plan called 30 at 30, thirty percent of vehicle production electric by 2030, and a wave of Chinese EV makers is pouring in to build there.
Put those together and you get a full retooling of the most sophisticated manufacturing base in the region. Old lines ripped out, new lines for EVs going in, automation rebuilt from the floor up. That is not a data centre gold rush Thailand watches from the sidelines. That happens inside Thai factories, on Thai shop floors, with Thai engineers who have been running robots for twenty years.
This is where a Thai founder has an unfair advantage that a founder in San Francisco could never buy: proximity to the machine. Physical AI, industrial automation, retrofit robotics, the software layer for the tier-two and tier-three suppliers who are being squeezed to modernise. That is a real category, and Thailand is standing right on top of it.
There is a hint that it is starting. Amity Robotics, and yes, the same Amity family of brands, closed a seven million dollar seed round in July backed by East Ventures, building physical AI concierge robots. Seven million is small next to the other numbers in this piece, but it is a meaningful round in this part of the world, and it is a signal. Physical AI built in Thailand for a world that runs on a lot of Thai-made hardware.
I would argue that seven million dollar seed is a more important sentence about Thailand’s future than the whole billion dollar data centre announcement, because one of them Thailand owns and the other one it rents.
Now the honest risk, because I am not going to sell you the bull case without the catch. The same Chinese EV makers bringing the capital are also bringing their own automation stacks, their own robots and their own software. If Thailand is not careful, it ends up doing what it has done before: assembling other people’s cars with other people’s robots, running other people’s code. Busy, employed, and not owning the valuable part.
The next move, the one that actually builds Thai wealth and not just Thai employment, is Thai companies owning the automation layer, not just the assembly line. The intelligence on top of the assembly line. That is the startup I want to see pitched. Not another generative AI copywriting tool. A team that walks onto a factory floor in Rayong, looks at a fifteen-year-old robot cell and says, we can make this thing think, and we are Thai, and we are cheaper and closer than anyone you would fly in. That founder can win. That founder will own something. That is the version of next worth racing for.
Next, owned by whom?
So here is where I land. Techsauce is going to be a fantastic event. It is every year. The energy will be real and the rooms will be full, and much of it will have a layer of hype over a layer of truth.
But the question that hall is not asking, the one I want you walking around with all week, is not what is next.
Thailand has the users, the highest adoption in the region. Thailand has the factories, the best manufacturing base in Southeast Asia. Thailand has the infrastructure, billions of dollars of it going into the ground right now. What Thailand mostly does not have yet is Thai ownership of the value sitting on top of all three.
The founders who fix that are not going to be the ones building the shiniest thing for the main stage. They are going to be the ones putting real applied AI into a back office, or a factory line in Rayong, or a boring workflow inside a Thai bank that has said yes to AI and has no idea what to do next.
Bet on the boring strength. Own the layer above the thing everyone else is renting.
If you are at Techsauce this week, go find the founder no one is putting on the keynote stage. The one solving something unglamorous and Thai and real. That is who I would be writing a cheque to.
Real. Raw. Relatable.
