# Asia Pacific Won’t Just Adopt Agentic Commerce, It Will Define It - Link: https://www.thailand-business-news.com/corporate/310195-asia-pacific-wont-just-adopt-agentic-commerce-it-will-define-it - Published: 2026-05-28T11:34:00+07:00 - Author: J. Allan ## Abstract * A Deloitte report positions Asia Pacific as the leading region for agentic AI adoption in retail, driven by over 4.3 billion consumers, 18 megacities, and existing super-app infrastructure. Currently 29% of consumer businesses in the region use agentic AI, a figure expected to reach 76% within two years. * Despite this momentum, significant execution gaps remain, with only around 30% of businesses successfully moving AI initiatives into production. Retail executives broadly anticipate AI surpassing traditional search by 2026 and compressing the multi-step shopping journey by 2027, making data governance, system interoperability, and consumer trust central challenges for the industry. The fate of retail’s future won’t be determined in Silicon Valley. That determination will happen in Jakarta, Mumbai, Singapore, and Shanghai, and the remainder of the world would do well to take careful note. A new [report](https://www.deloitte.com/southeast-asia/en/about/press-room/asia-pacific-set-to-lead-the-agentic-future-of-commerce.html) from Deloitte makes the case plainly: Asia Pacific is positioned to lead the agentic era of commerce, not follow it. The numbers behind that claim are hard to argue with.** The region is set to drive roughly two-thirds of the world’s new retail sales over the next five years, underpinned by more than 4.3 billion shoppers,** 18 megacities, and the fastest-growing middle class on the planet. That is not a foundation that invites complacency. It is a launching pad. ADVERTISEMENT ## The Tipping Point Has Arrived Agentic AI, software that doesn’t just respond to prompts but acts autonomously on a user’s behalf, is no longer a laboratory experiment. It is entering the retail mainstream at a pace that should unsettle any executive still treating AI as a future- state aspiration. **Almost three-quarters of Asia Pacific consumers are already using AI to discover, compare, and learn about products**. That figure alone reframes the competitive landscape. When the majority of your customers are already delegating parts of the shopping journey to an AI assistant, the question is no longer whether your business needs to respond. It is whether you are already too late. The adoption curve reinforces the urgency. Today, 29% of consumer businesses in the Asia Pacific report they are adopting agentic AI, but that share is expected to surge to 76% within two years. In the history of enterprise technology, very few transitions have moved at this speed. The last comparable shift, the pivot to mobile commerce, took the better part of a decade for the industry to absorb. Agentic AI is on track to compress that timeline to a fraction. ## A Region Built for This Moment **What makes Asia Pacific uniquely suited to lead this transition is not simply scale. It is architecture**. Vivek Sharma, Consumer Industry Leader at Deloitte Southeast Asia, put it directly: “Agentic AI will redefine commerce in Southeast Asia because this is a region where discovery, conversation, and transaction already converge across super-apps, social platforms, and physical retail.” ![AI & Compute Infrastructure: Building ASEAN’s Digital Backbone](https://r2.thailand- business-news.com/wp-content/uploads/2026/03/22996739_Mblue_204-1200x800-1080x720. jpg) He is right. The digital infrastructure that Western markets are still building, the convergence of payments, messaging, social commerce, and logistics into single platforms, already exists across much of the region. Asia Pacific consumers did not simply adopt e-commerce; they remade it. The step from super-app ecosystems to agent-mediated commerce is, in many ways, a natural evolution rather than a disruptive leap. ## The Execution Gap Is Real But the report does not offer uncritical optimism, and neither should we. Despite the momentum, only around 30 percent of Asia Pacific consumer businesses report that at least 40 percent or more of their AI initiatives actually reach production, with implementation challenges among the top barriers. This is the quiet crisis beneath the headline enthusiasm: a widening gap between strategic ambition and operational delivery. Investing in AI and deploying AI at scale are two entirely different disciplines. The businesses that will capture disproportionate value in the agentic era are not necessarily those with the largest AI budgets. They are those who have done the unglamorous work of getting their data foundations right, building interoperable systems, and establishing governance frameworks capable of supporting autonomous action. Without these, even the most sophisticated AI agents will fail in production. ## The Shopping Journey Is About to Collapse Perhaps the most striking data point in Deloitte’s findings concerns the timeline ahead. Nine in ten retail executives expect AI to be used more than traditional search engines by 2026, while half expect today’s multi-step shopping journey to collapse by 2027. That is an extraordinary forecast to absorb. The discovery-research- compare-decide-purchase sequence that has structured consumer behaviour and retail strategy for decades may effectively cease to exist within the next two years. What replaces it is a world in which a consumer’s AI agent does most of that work invisibly, searching, comparing, and in some cases completing the transaction, before the human ever becomes actively involved. Industry forecasts suggest agents could influence or directly handle as much as 25 percent of global e-commerce sales by 2030. Brands that are not structuring their data, pricing, and product information to be legible to AI agents, not just human shoppers, are building for a world that is already passing. That said, trust will prove the decisive constraint on speed. **Two-thirds of retail leaders surveyed by Deloitte do not expect customers to fully embrace agents purchasing on their behalf before 2028,** though search, comparison, and AI-powered recommendations are far more imminent. Consumers are willing to delegate discovery. They are more cautious about delegating the checkout button. This is a nuance the industry should treat seriously rather than engineer around. ## The Six Imperatives No Executive Should Ignore Deloitte’s report outlines six business imperatives for retail leaders entering this era. Rather than rehearse them in full, it is worth dwelling on the two that most often get overlooked in the rush toward AI adoption. The first is data governance. As agents get to work, organisations must shift from traditional data and analytics governance to continuous, policy-driven data management to ensure safe and compliant autonomous action. This is not an IT department issue. It is a boardroom issue. Autonomous agents operating on bad data, or without clear guardrails, will not merely underperform. They will actively damage customer relationships and brand trust at machine speed. The second is the reinvention of physical retail. In a world where an increasing share of routine purchasing is handled by AI, the physical store must become something that AI genuinely cannot replicate. In Asia Pacific’s experiential and community- driven retail cultures, the retailers who lead will be those who reposition stores as intelligent, social and sensory-led environments in an increasingly automated landscape. The stores that survive the agentic era will not be the most efficient ones. 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It is months wide. The businesses that move now, investing in the unglamorous foundations, redesigning customer experiences for agent-mediated journeys, and building the trust architecture that consumers will demand, are the ones that will still be relevant when the transition reaches full velocity. Asia Pacific has the consumer base, the digital infrastructure, and increasingly the AI ambition to define what agentic commerce looks like for the rest of the world. Whether the region’s businesses execute on that potential is, as Vivek Sharma noted, a question of strategic vision and systemic transformation, with trust and governance at the core. The technology is ready. The consumers are ready. The only remaining question is whether the industry is.