Adyen AI checkout research landed in two markets this month, covering Australia and Malaysia, both drawn from YouGov surveys run online across March and April 2026. In both, the finding is the same. Retailers are moving quickly on AI shopping tools, and consumers will happily use AI to browse while refusing to let it pay.

Australia produced the starker Adyen AI checkout split. Every enterprise retailer surveyed is investing in AI tools for product discovery, decision making and checkout. Meanwhile, 95 percent say they know what agentic commerce is. On the consumer side, 64 percent have used AI assistants to browse or compare products, and the identical 64 percent say they feel uncomfortable letting AI complete a purchase for them.

Meanwhile, Malaysia ran warmer on usage and cooler on the gap. There, 74 percent of consumers use AI assistants while shopping, though 52 percent still resist handing over the purchase decision. That survey covered 1,031 consumers and 314 senior retail managers at firms turning over at least RM75 million.

Adyen AI Checkout Data Repeats a Familiar Pattern

Once the two markets line up, the shape holds. Retailers are committed, consumers want a hand on the wheel at the moment money moves.

However, this gap is not an Adyen discovery. It has appeared in nearly every AI commerce survey published this year, and by now it functions as a genre convention rather than a finding. Notably, these two reports are not standalone either. Both belong to the 2026 Adyen APAC Retail Index, a multi market series that already produced a Hong Kong edition weeks earlier. So the Adyen AI checkout narrative is a rolling campaign rather than a pair of one off studies.

The Adyen AI Checkout Story Buries the Reliability Data

The payments numbers deserve more attention than the Adyen AI checkout headline. In Australia, shoppers punish failure directly. Some 62 percent say payment errors damage their view of a retailer, 24 percent avoid a retailer after a failed transaction, and 15 percent switch to a competitor outright.

Then Malaysia supplies the retailer side. Fully 97 percent report being affected by payment performance issues over the past twelve months. Another 94 percent say they have been targeted by or fallen victim to payment fraud. Despite that, 47 percent plan to invest in AI or agentic commerce during 2026.

Read the fraud figure carefully, though. Targeted by or fallen victim to bundles two very different experiences into one percentage. Being probed is not the same as losing money. Moreover, self reported survey data is softer than transaction records. The Adyen AI checkout framing invites readers to treat 94 percent as a loss rate, which it is not.

Still, Adyen’s own platform data points somewhere more interesting. Its 2026 fraud report found that losses from fraudulent chargebacks across the platform fell 20 percent during 2025, with the average fraudulent dispute dropping 23 percent in value. Fraud is redistributing into smaller transactions rather than retreating. Crucially, the report identifies false declines as the larger revenue threat now, meaning legitimate payments wrongly rejected.

That reframes the Australian numbers usefully. Shoppers abandoning retailers over failed transactions are describing exactly that problem. So the reliability half of this story rests on firmer evidence than the fraud half, and the two datasets connect.

Adyen AI Checkout Research Is Also a Sales Argument

Remember who publishes the Adyen AI checkout research. Adyen sells payments infrastructure and positions itself as the trusted layer beneath both AI shopping and fraud prevention. Research concluding that consumers prize security and retailers face fraud exposure is also, conveniently, research that sells the Adyen pitch.

Here the evidence sits in the releases themselves. All three APAC editions carry near identical language about AI platforms each speaking their own technical language, requiring different product data formats and checkout processes, with integration becoming costly without an interoperable layer. That paragraph is the commercial argument, reproduced market to market beneath locally varied statistics.

None of this makes the numbers wrong. YouGov ran the fieldwork and the samples are disclosed. It simply means the Adyen AI checkout research is market research built around a thesis, not neutral data collection.

What the Adyen AI Checkout Numbers Miss

First, the original question asked whether Malaysia’s 94 percent figure would resurface in the next regional release. That question is already partly answered, because the series is running now across multiple APAC markets. Watch instead whether the Adyen AI checkout instrument stays consistent. Hong Kong recorded 94 percent of enterprise retailers claiming familiarity with agentic commerce against Australia’s 95 percent. So the questions appear to travel well.

The sharper thing to track is whether Adyen ever publishes false decline rates by market. Its global report names that as the bigger revenue threat, yet neither regional release quantifies it locally. A retailer losing legitimate sales to over aggressive fraud rules faces a measurable cost today. Consequently, that number would be more useful to Australian and Malaysian merchants than another reading on whether shoppers trust robots with a credit card.

For related reading, our analysis of the future of payments covers the checkout infrastructure question underneath all this. Our guide to AI in fintech maps the adoption curve, while our piece on generative AI fraud threats examines how automation is reshaping attack patterns. Adyen published the Australia findings on its newsroom, and Fintech News Malaysia detailed the Malaysia sample. The wider Adyen 2026 fraud report supplies the platform level data.

Fintechbits covers payments, retail technology and fraud prevention. Nothing here constitutes financial or investment advice. All analysis represents the editorial views of Fintechbits.