A customer opens a business's new AI chat widget expecting it to remember something—their size, their last order, the question they asked two weeks ago. Instead it greets them with the same generic opening line it gives everyone, and asks them to start over. The frustration in that moment isn't about AI being unfamiliar. It's the opposite: expectations for what AI should already know have moved faster than what most small and mid-sized businesses have built underneath it.
SCBX's "thAI Consumer AI Adoption 2026" report, based on a survey of 1,004 Thai consumers aged 20–60 conducted by Ipsos and Vitamins in August 2025, found that over 80% of Thai consumers already use AI regularly. But only 13% report using it to its "full potential." The report also identifies nine distinct AI-user segments—and the two most hungry for genuinely personalized AI experiences, "Life Optimizer" and "Pro-formance," together make up just 13% of Thai consumers.
It sounds like the story here is consumer hesitation—Thai shoppers just aren't quite ready to lean on AI yet. Read the numbers again and the opposite is true: adoption is already high, and the ceiling isn't consumer appetite. It's whether a business holds enough structured, specific data about a customer to give AI something real to personalize. This piece walks through what the SCBX report actually found, why most SMEs can't yet serve even the minority actively asking for deeper personalization, and what closing that gap looks like.
Thai consumers didn't wait for permission to start using AI regularly. What's holding back a genuinely personalized experience isn't consumer hesitation—it's whether a business has the customer data to give them one.
What the thAI Consumer Report Actually Found
The methodology matters here: this isn't a vendor survey designed to sell AI software. It's a national consumer-behavior study from SCBX, covering banking and personal-finance users nationwide, conducted by independent research firms Ipsos and Vitamins. SCBX reports that over 80% of respondents have used AI in some form, and that when asked what they primarily want from it, 74% named "improve my productivity" as the top benefit—not novelty, not entertainment, just fewer repetitive steps in whatever they were already trying to do.
Only 13% describe themselves as using AI to its full potential. That's the number worth sitting with, because it isn't a gap in awareness or willingness—over 90% of Thai consumers are aware of AI, and more than 80% already use it. It's a gap in depth: a large majority use AI lightly and deliberately, not because they don't trust it, but because most of what they interact with hasn't given them a reason to go deeper.
The Depth Gap: What Customers Want vs. What Businesses Can Deliver
Call it the Depth Gap: the space between what a minority of consumers are actively asking AI to do for them and what most businesses currently have the data to deliver. SCBX's nine segments make this concrete. The two largest, "Smart Minimalist" (36%) and "Skeptical Practitioner" (34%), together describe roughly 70% of Thai consumers as deliberately moderate users—people who use AI when it's useful and stay cautious about the rest. That's not a majority holding AI back. It's a majority using it exactly as much as makes sense to them.
The two segments SCBX identifies as most engaged with personalized AI experiences, "Life Optimizer" (8%) and "Pro-formance" (5%), add up to 13% of consumers—coincidentally the same share reporting "full potential" use, though SCBX doesn't state these are the identical group. What both figures agree on is the size of the demand for deep personalization right now: real, specific, and currently a minority rather than the mass market. A business doesn't need to serve every customer with advanced AI to matter here—it needs to be able to serve the ones already asking.
Why Most Thai SMEs Can't Serve Even the 13% Who Are Asking
Genuine personalization needs a specific ingredient no AI model invents on its own: a structured, accurate record of what this particular customer has already done, said, and preferred. Without it, an "AI-powered" chat widget is a script wearing a friendlier interface—confident-sounding, but starting from zero every time, exactly like the frustrated customer in the opening scene. This is the same structural gap covered in why Thailand's AI adoption is outrunning its data foundations—the demand side and the supply side of the identical ceiling.
Picture a hypothetical independent cosmetics brand called Nara Cosmetics, running two retail counters and an online store. Nara added an AI chat widget promising personalized skincare recommendations—exactly the kind of feature its Life Optimizer and Pro-formance customers would want. But because purchase history isn't linked to chat identity, a returning customer redoes the same skin-type quiz every single visit, gets a recommendation that ignores the moisturizer they bought three weeks ago, and eventually stops using the widget entirely. Nara didn't fail to adopt AI. Nara adopted AI without the customer record the AI needed to actually be personal—the same basic record our plain-language CRM guide for Thai SMEs walks through building.
The Depth Gap Playbook
- Know Which 13% You're Actually Serving—identify your genuinely AI-eager customers before assuming every customer wants deep personalization; over two-thirds of Thai consumers are deliberately moderate users who won't reward it the same way.
- Personalization Needs a Record, Not Just a Model—an AI feature is only as personal as the customer data behind it; connect purchase and conversation history before promising a "personalized" experience.
- Productivity First, Novelty Second—74% of Thai consumers want AI to reduce friction, not impress them; a feature that saves a customer a step will outperform one that just looks advanced.
- Respect the Two-Thirds Who Want Less, Not More—Smart Minimalist and Skeptical Practitioner users make up roughly 70% of the market; don't push aggressive AI features on customers who've deliberately chosen restraint.
A private tutoring center offering an AI-generated practice-quiz app faces the identical test—students who've used the app for months still get generic, level-one questions unless their actual progress history connects to the quiz generator, which is exactly the kind of structured record most small education businesses haven't built yet.
Memory: what this all comes down to
If there's one word for what actually separates AI that feels personal from AI that doesn't, it's Memory—not a smarter chatbot script, just whether the system remembers enough about a specific customer to make the next answer better than the last one.
So here's the question worth sitting with: the next time a returning customer interacts with any AI-powered part of your business, will it recognize them as someone it's talked to before—or will it ask them to introduce themselves all over again? If it's the second one, that's the Depth Gap showing up in a specific, fixable place.
FAQ
Are Thai consumers actually hesitant about using AI?
No. Over 80% already use AI regularly and over 90% are aware of it. The gap isn't hesitation—it's depth of use, with only 13% reporting they use AI to its "full potential."
Do most Thai consumers want businesses to push more AI features at them?
Not necessarily. The two largest segments in SCBX's study, "Smart Minimalist" and "Skeptical Practitioner," together represent roughly 70% of consumers and describe deliberately moderate AI users, not people asking for more automation everywhere.
What do Thai consumers say they want most from AI?
Productivity. 74% named "improve my productivity" as AI's primary benefit—not entertainment or novelty, but fewer repetitive steps in tasks they're already doing.
Why can't a generic AI chatbot deliver real personalization on its own?
Because personalization requires specific data about an individual customer—purchase history, preferences, past conversations—that a generic AI model doesn't have unless a business's own systems supply it in a structured, connected way.
What this looks like with NAWA CRM
NAWA CRM keeps a customer's conversations, decisions, files, and activity together in one timeline—exactly the structured record an AI feature needs to move past generic questions and toward something that actually reflects a specific customer's history. It's not a replacement for the AI tool itself, but it's the memory layer that determines whether that tool feels personal or forgettable.
If your business has added AI features but isn't sure they're backed by the customer data needed to make them feel personal, talk to us about connecting your customer history into one usable record.
Sources: SCBX, "thAI Consumer AI Adoption 2026"; SCBX, "SCBX Launches First 'thAI Consumer AI Adoption 2026' Report"