“Super apps never really took off anywhere outside of the [Chinese Great Firewall], despite attempts to create them…Now, something new is in the works that would help super apps make much more sense. Alipay is getting a built-in agent…” – Brady Ng – The Ken

Attempts to transplant an entire digital ecosystem from one regulatory and cultural context into another have repeatedly run into the same wall: users outside China have not reorganised their online lives around a single, general-purpose gateway. The large technology and conglomerate groups that tried to replicate a one-stop mobile environment in India and other markets discovered that assembling many services into one app is not enough; orchestration, not aggregation, is the scarce capability.^1,5,17 The emerging generation of AI agents, and Alipay’s recent move to embed such an agent natively into its wallet, reframes that problem. Instead of asking consumers to live inside one giant application, the new question is whether an intelligent intermediary can stitch together services across apps, merchants and contexts so effectively that the experience becomes super-app-like without requiring a monolithic front end.^4,7,16,18

Why super apps flourished in China but stalled elsewhere

China’s mobile internet developed in a compressed window, with hundreds of millions of users coming online via smartphones rather than PCs.^5,27 In the early 2010s, messaging, payments, ride-hailing, food delivery and e-commerce were all still fluid, contested categories. Fierce competition among a small number of platform giants with access to substantial capital and regulatory room for experimentation created a race to deepen engagement per user rather than per app.^5,17 When user acquisition costs rose sharply and growth in new internet users slowed, the dominant platforms shifted focus to increasing revenue per user by layering additional services onto their existing bases. That logic made it rational for firms like Tencent and Ant Group to pack payments, mini-programs, gaming, shopping, travel and financial products into a single mobile entry point.^5,17,26

Outside the Chinese mainland, the structure of digital markets looked very different. In North America and Europe, many users had already adopted large numbers of specialised apps before any credible super app project appeared.^11,14 Regulatory frameworks emphasised competition and data protection, making it harder to build the kind of tightly integrated, data-rich ecosystems seen behind the Chinese firewall.^11,17 Payment systems relied more heavily on card networks and bank-centric rails, limiting the space for wallet providers to become universal identity and transaction layers. In such an environment, consumers grew used to juggling multiple apps, while merchants and regulators were wary of single companies occupying the entire stack from messaging to money.^11,14,23

In India and Southeast Asia, the picture was more mixed. Market fragmentation, gaps in digital infrastructure and a largely mobile-first user base created opportunities for super-app-like visions, and companies such as Grab, Gojek and Paytm pushed aggressively in that direction.^2,8,20,26 Yet even there, building a genuine everything-app demanded alignment of payments, logistics, content, and financial services, all under one governance and technology umbrella. Conglomerates could integrate some assets, but they rarely commanded the same level of regulatory protection or data centralisation that Chinese platforms enjoyed. The result was a patchwork of ambitious but incomplete super apps, powerful in particular verticals but unable to reshape the entire consumer digital journey.^2,8,17

Commercial incentives, not user love, built the classic super app

Contrary to a popular narrative about Asian users supposedly preferring all-in-one applications, detailed reconstructions of China’s platform history suggest that most consumers accepted bundled apps because they were the only way to access specific services under conditions of strong platform power.^5,8 Platform companies were motivated by cross-selling, data synergies and competitive blocking: once a user’s payments, social graph and identity all lived in one environment, rival firms faced steep barriers to poaching that user.^5,17 The super app was, in this reading, the front-end manifestation of a digital conglomerate’s internal incentive to reduce churn, increase wallet share and commoditise third-party services accessed as mini-programs or plug-ins.⁵

This logic explains why conglomerates and diversified groups in other markets were attracted to the model. If a group already owned telecoms, retail, financial services and travel businesses, collapsing multiple customer apps into a single portal looked like an efficient way to share data, cut marketing costs and create cross-vertical bundles. However, without control over the foundational payment behaviours of the population or a unique social graph, such efforts ran into natural ceilings. Users treated these complexes as loyalty apps tied to a particular brand family rather than universal operating systems for daily life.^2,8,17

That divergence between commercial logic and user behaviour reveals a deeper design flaw. The classic super app assumes that the right unit of aggregation is the application itself: one UI, one ID, one wallet, one feed. Yet most people experience their lives not as product categories, but as tasks and situations: getting to work, managing bills, planning holidays. A purely app-centric approach struggles to anticipate and co-ordinate those tasks when they cut across organisational boundaries. The platform can host more services, but it still requires the user to know which mini-program to open, which coupon to apply, which credit product to choose. The cognitive load remains on the user, even if the app count drops.^5,6

The agent paradigm: from aggregation to orchestration

AI agents challenge that assumption by shifting the locus of intelligence from the app cluster to an intermediary that acts on the user’s behalf across multiple systems.^{3,6,9,12,15,18} Defined narrowly, an agent is software that can perceive context, plan, and execute multi-step actions to achieve a user-defined goal, while learning from feedback over time.^3,15 Instead of offering a storefront of options, an agent can interpret a natural-language instruction – for example, to renew a subscription, organise a trip or manage recurring payments – then decide which services to call, in what order, and under what constraints, before returning a completed outcome for approval.

In consumer finance and commerce, this implies a different architecture. The user no longer needs to know which merchant app, bank portal or loyalty programme is relevant to a task. They express an intent in language; the agent evaluates available options, checks balances and constraints, negotiates with APIs and mini-programs, and prepares a transaction. The heavy lifting moves from visual navigation to machine reasoning and protocol-level integrations. In effect, the agent becomes the new operating system for interactions with services that still exist as separate applications behind the scenes.^6,9,12,18

This is where Alipay’s decision to extend its wallet into an agentic platform becomes strategically important. By enabling AI agents to initiate and complete payments directly through Alipay, with user authorisation and risk controls, Ant transforms the wallet from a passive rail into an execution substrate for autonomous tools.^4,7,16,19 In China, early implementations like conversational ordering and payment in the Luckin Coffee mini-program show how an assistant can coordinate the whole flow – recommendation, order, payment – without the user tapping through multiple interfaces.^7,16 For external developers, Alipay’s agentic protocols offer a way to embed payment capabilities into their own agents, making the wallet a programmable endpoint rather than merely a consumer-facing app.^4,19

Reframing the super app question

Once agents are capable of orchestrating actions across apps, the earlier question – why did full-spectrum super apps fail outside China? – becomes less central. The more relevant inquiry is who will own the agent-to-rail interface and the associated data. Payments sit at the heart of this contest. To turn a user’s intent into a completed transaction, an agent must authenticate identity, understand account balances or credit lines, select an appropriate instrument, and settle funds. Providers that offer agent-friendly payment rails with rich APIs, low latency risk checks and fine-grained consent controls gain leverage as indispensable infrastructure.^18,19

In that world, a traditional super app is just one of many environments an agent can call into. Users may never open a dedicated wallet application if their preferred personal agent can route payments through it invisibly. The critical questions become: which wallets and banks expose the necessary agent protocols, and which AI platforms integrate those protocols most deeply into their planning and execution engines? Firms that cling to app-centric thinking risk discovering that they have built elaborate gardens that agents visit only as needed, while loyalty and data gravity shift to the agent layer.^6,12,18

For technology and industrial groups in markets like India, where earlier super app projects struggled to gain comprehensive traction, this agentic turn is both an opportunity and a threat.^1,11,17,21 On the one hand, they no longer need to convince users to adopt a single mega-app; they can instead expose services and payment capabilities via agent-ready APIs and compete to be the most responsive, transparent and reliable among many options surfaced by agents. On the other, their brand and UX differentiation becomes less visible when users experience them through a third-party agent’s conversational interface. Strategic advantage shifts towards depth of integration, quality of data, and compatibility with dominant agent ecosystems.

Technical and economic foundations of agentic payments

From an economic perspective, the agent model can be framed as a problem of delegated optimisation. The user specifies a goal – for instance, minimising cost subject to quality and convenience constraints – and the agent seeks an action plan that optimises an objective function.^3,6,15 Formally, one might imagine an agent maximising expected utility U(a,c) over a set of possible action sequences a, under constraints c representing budgets, risk preferences and time. While real-world agents rely on approximate methods rather than closed-form solutions, the underlying idea is a shift from menu selection to constrained optimisation on the user’s behalf.

In payments, risk and control considerations introduce additional layers. Alipay’s implementations, for example, emphasise multi-layer security, identity verification and continuous risk control systems that monitor transactions initiated by agents.^4,7,10,16 Conceptually, this can be thought of as applying a risk-scoring function R(t,u,a) to each transaction t initiated for user u by agent a, and blocking or flagging those where R exceeds a threshold set by the wallet provider and regulators. The agent must also respect spending limits, category restrictions and consent scopes defined by the user, which adds a layer of policy-compliance planning to the pure optimisation problem.

These technical affordances matter because they directly affect whether regulators and mainstream users will accept agentic commerce at scale. If consumers perceive autonomous payments as opaque, insecure or prone to error, they will resist delegating meaningful control. Conversely, if wallets can provide transparent logs, simple revocation controls and robust recovery mechanisms, the friction of delegation may fall sufficiently for agent-driven flows to become routine. In that case, the economic advantages of automation – lower search costs, better matching, reduced friction – could push a significant share of everyday transactions into agent-orchestrated channels.^16,18,19

Debates and objections: control, competition and fragmentation

There are, however, material objections to the idea that agents will finally unlock the unrealised promise of the super app. One line of argument holds that app fragmentation is not primarily a UX problem but a reflection of underlying competitive and regulatory structures. Even if agents can navigate between many services, those services are still governed by separate contracts, jurisdictional rules and business models. Agents may smooth over surface friction, but they cannot erase the economic reality that ride-hailing, banking and messaging are regulated and monetised differently.^11,14,17

Another concern focuses on concentration of power. If a small number of AI platforms provide the dominant personal agents, those entities could become even more powerful gatekeepers than today’s app stores. They would mediate which merchants and services are surfaced, on what terms, and at what implicit ranking. Payments providers that bind themselves tightly to one agent ecosystem risk becoming subordinate rails rather than full-fledged platforms. Conversely, attempts to build proprietary agents tied to a single wallet or bank could recreate the same siloed dynamics that limited super apps’ global spread.^6,12,18,21

There is also a question of user trust and cognitive comfort. Many people are willing to let automation handle specific, well-understood tasks – recurring bill payment, subscription management, simple reorders – but may hesitate to grant broad authority to a digital agent that roams across their financial and commercial lives. Expressing goals precisely in natural language can be difficult; mis-specified intents could produce unwanted outcomes. Designers must resolve tensions between autonomy and oversight: agents that require constant confirmation for every step defeat the purpose, while agents that act too freely risk backlash when they make mistakes.^3,6,15,24

Why Alipay’s agent move matters beyond China

Despite these concerns, Alipay’s shift towards agent-native payments is significant for global observers because it illustrates how a mature super app-style wallet repurposes itself for the agent era.^4,7,16,19 Rather than just adding chat interfaces or recommendation features, Ant is exposing granular capabilities – identity, authorisation, payment execution, risk checks – as building blocks that external AI systems can call. In doing so, it indicates one plausible path for other payments providers: treat the agent not as a bolt-on chatbot but as a first-class client whose needs shape protocol design.

For Western and Indian financial institutions that never managed to turn their apps into super apps, this offers a different kind of ambition. Instead of chasing the impossible dream of monopolising user attention in a single application, they can aim to be the preferred rails for agents. That means focusing on high-availability APIs, transparent pricing, rich metadata, and robust consent frameworks. Banks and wallets will compete less on splashy front-end design and more on how easily agents can discover, compare and invoke their products.^{6,11,12,18,21}

This shift also alters the calculus for regulators. Earlier debates about super apps worried about bundled dominance: a single company controlling messaging, payments, shopping and more, often with limited external interoperability. The agentic model creates new risks – particularly around opaque algorithmic steering and data concentration in AI platforms – but it also offers levers for maintaining competition. Regulators can insist on open, standardised interfaces that allow multiple agents to access payment rails on equal terms, and they can monitor agent ranking behaviour for anti-competitive patterns, much as they do with search engines today.^11,17,18

The strategic horizon: from app empires to protocol wars

If the trajectory towards agent-mediated commerce continues, the decisive contests are likely to take place at the protocol and standard layer, not the visible app surface. Wallets, banks and merchants will need to answer two strategic questions. First, which agent platforms do they integrate with, and at what depth? Second, do they collaborate on shared standards for consent, payment intent expression and transaction metadata, or try to lock in proprietary schemas that tie agents to their rails?

In markets where previous super app projects fell short, the emergence of cross-app agents powered by strong payment infrastructure could produce user experiences that feel super-app-like without any firm owning the full stack. A commuter might ask a personal agent to arrange transport, pay road tolls and manage loyalty points, while the agent quietly orchestrates between multiple mobility apps and a bank account. A household could delegate routine budgeting and bill payment to a financial agent that optimises across banks, credit providers and utilities. No single application would host the entire journey, yet the lived experience would be of a coherent, low-friction layer over fragmented services.^6,18,21,24

In that sense, the apparent failure of the traditional super app model beyond China may turn out to have been a transitional outcome. What conglomerates could not achieve by pulling every service into one branded container may instead be realised by agents that push intelligence into the space between users, apps and payments. The contest is no longer about who can cram the most features into a single icon on a home screen, but about who can best support the autonomous intermediaries that users will increasingly rely on to navigate a complex digital economy.^{3,6,9,12,18,21}

 

References

1. “Tata, Adani couldn’t crack super apps. AI agents will change that” – https://the-ken.com/columns/zero-shot/tata-adani-couldnt-crack-super-apps-ai-agents-will-change-that/

2. Alipay AI Pay Launches New Service Enabling OpenClaw-type AI … – 2026-04-21 – https://finance.yahoo.com/sectors/technology/articles/alipay-ai-pay-launches-enabling-154900626.html

3. Super Apps Are Booming, and Here’s Why It Matters – – RSPA – 2021-06-24 – https://www.gorspa.org/commiq-super-apps-are-booming-and-heres-why-it-matters/

4. AI Super Agents: The End of Human Work? – Think Cloud – https://www.think-cloud.co.uk/blog/ai-super-agents-the-end-of-human-work/

5. Alipay AI Pay Launches New Service Enabling OpenClaw-type AI … – 2026-04-21 – https://www.afp.com/index.php/en/infos/alipay-ai-pay-launches-new-service-enabling-openclaw-type-ai-agents-make-payments

6. Why Super Apps took off in China – by Erik at Dilemma Works – 2025-07-04 – https://dilemmaworks.substack.com/p/why-super-apps-took-off-in-china

7. Post-App Era: Will Super Apps and AI Agents Replace Standalone … – 2025-09-12 – https://www.linkedin.com/pulse/post-app-era-super-apps-ai-agents-replace-standalone-applications-9drzc

8. Alipay unveils AI agent payment solution at INCLUSION·Conference – 2025-09-11 – https://www.linkedin.com/posts/alipay_inclusionconf-aiinalipay-activity-7372160531018780672-wgby

9. Unlocking the success of super apps: Success in Asia, challenges … – 2024-03-04 – https://beyo.global/thinking/unlocking-the-success-of-super-apps-success-in-asia-challenges-worldwide

10. AI Agents: The Super App Revolution – YouTube – 2026-01-08 – https://www.youtube.com/watch?v=BzmFxfstR_s

11. Alipay reports surge in agent payments – Finextra Research – 2026-02-13 – https://www.finextra.com/newsarticle/47295/alipay-reports-surge-in-agent-payments

12. Super Apps in Asia, “Everything App” in the US? – INSEAD Knowledge – 2023-05-25 – https://knowledge.insead.edu/strategy/super-apps-asia-everything-app-us

13. From SuperApps to Autonomous Agents: The Future of Banking Is … – 2025-06-06 – https://www.linkedin.com/posts/piyush-ranjan-9297a632_from-superapps-to-autonomous-agents-the-activity-7336745625494908931-RrVF

14. Alipay Unveils AI Agent Overhaul – YouTube – 2026-06-19 – https://www.youtube.com/shorts/EzFHRtKt7DA

15. Why China’s “super-apps ” will never succeed in the US – Prototypr – 2018-05-20 – https://blog.prototypr.io/why-chinas-super-apps-will-never-succeed-in-the-us-64c686c8c5d6

16. How Startups Can Leverage the New Era of AI Agents (Spotlight) – 2025-06-16 – https://www.youtube.com/watch?v=bFha6E0yyO4

17. Alipay Hits 120 Million Weekly AI Agent Transactions – 2026-02-16 – https://fintechmagazine.com/news/alipay-hits-120m-weekly-ai-agent-transactions

18. The End Of The Super App Dream – Forbes – 2024-04-28 – https://www.forbes.com/sites/zennonkapron/2024/04/28/the-end-of-the-super-app-dream/

19. From super apps to autonomous agents: The future of payments in … – 2025-10-24 – https://thepaymentsassociation.org/article/from-super-apps-to-autonomous-agents-the-future-of-payments-in-2050/

20. Alipay+ Agentic Mobile Protocol | AI-Native Wallet Payments – 2025-08-01 – https://www.alipayplus.com/agentic-mobile-protocol/

21. The super app, synonymous with popular mobile apps like WeChat … – 2021-07-16 – https://www.facebook.com/cnbcinternational/posts/the-super-app-synonymous-with-popular-mobile-apps-like-wechat-grab-goto-and-payt/3675734099194370/

22. How AI agents could make super apps viable in the West – 2025-05-23 – https://aijourn.com/how-ai-agents-could-make-super-apps-viable-in-the-west/

23. Looking for Alipay Payment Agent in China (Long-term Cooperation) – 2026-04-04 – https://www.reddit.com/r/Alipay/comments/1scce8u/looking_for_alipay_payment_agent_in_china/

24. Why U.S. Tech Companies Struggle To Replicate China’s WeChat … – 2025-01-27 – https://www.reddit.com/r/China/comments/1ib74fg/why_us_tech_companies_struggle_to_replicate/

25. Could personal AI agents replace apps entirely in the next decade? – 2025-04-29 – https://www.reddit.com/r/singularity/comments/1kamiji/could_personal_ai_agents_replace_apps_entirely_in/

26. Alipay | Adyen Docs – https://docs.adyen.com/payment-methods/alipay

27. Top 10: Super apps | Technology Magazine – 2023-11-22 – https://technologymagazine.com/top10/top-10-super-apps

28. Rise of the Super App: Mobile-First Product Ideas from China – 2018-01-13 – https://www.youtube.com/watch?v=b-RS5vpS_0s