How AI Is Threatening Platforms’ Revenue Streams

Over time, the sheer volume of online activity and the convenience of centralized digital services have turned us into a platform-dependent society, shaping markets and labor while seizing ever-greater shares of our time and daily activity. Consumers overwhelmingly rely on the likes of Google for search, WhatsApp for communication, YouTube for entertainment, Instagram for social connection and Amazon for commerce.

Platforms have turned these interactions into a massive profit machine. User attention, data and online engagement have become the currency of the digital age. Amazon’s advertising businesses alone reached $56 billion in 2024, growing 18% year-on-year, making it Amazon’s fastest-growing and most profitable segment.

But here’s the catch: almost every dollar of that revenue depends on human eyeballs seeing sponsored products and advertisements and people making decisions based on what they find on the platforms they frequent. These are no longer safe assumptions.

That’s because people are increasingly relying on personal artificial intelligence agents to make choices for them rather than just present decision-support data (as platforms and search engines do). AI agents are rational, not emotional. They don’t see ads. They don’t impulse buy. They don’t get locked into ecosystems. As machines start making purchase decisions for humans, they threaten the revenue streams on which platforms rely: advertising clicks, transaction fees, subscriptions and service charges from third-party providers.

ADVERTISING REVENUE

The single most important revenue source for platforms remains advertising. AI agents not only remove the cognitive burden of users navigating endless choices but also eliminate the incentives of ad-driven platforms. Platforms lose the ability to monetize attention because AI agents no longer “see” or click on ads.

The result is what we call “zero-click commerce”: transactions that proceed from intent to fulfillment without any interface interaction where advertising could intervene. This fundamentally breaks the two-sided market equilibrium: platforms can no longer subsidize users with free services when the advertiser side cannot reach those users.

TRANSACTION FEES

Agents search across platforms, unbundle offerings, compare prices instantly and route buyers to whichever provider meets the user’s needs. The economic consequence is clear: a race to the bottom in fees. When their moats are rendered worthless, the classic platform dynamic of “winner-take-all” reverses into “everyone-loses-together” because AI agents operate across all networks simultaneously. Traditional marketplaces, such as Amazon, Uber, Airbnb and Booking.com, lose control over discovery, pricing, transaction flow and most importantly, collecting transaction fees.

SUBSCRIPTIONS AND MEMBERSHIP FEES

When AI agents interact rather than users, many of the perceived benefits of subscriptions (fast shipping, ad-free viewing, storage, premium recommendations) become less relevant. An agent can instantly compare the total cost (including shipping) across all providers. The result is a more transparent choice, lower switching costs, better value and far less susceptibility to marketing influence.

ECOSYSTEM SERVICES

Platforms often offer ancillary services as a way of growing and monetizing user dependence on their ecosystems. Major profit centers include cloud services (Amazon Web Services, Google Cloud), logistics and fulfillment services (Fulfillment by Amazon), payment and fintech services (Apple Pay, Google Pay) and data services (application programming interfaces, analytics tools).

AI agents disaggregate these services and optimize across providers, not within ecosystems. They choose the cheapest cloud service, the best logistics provider and the most cost-efficient payment option, even if it means moving away from dominant players or platform bundles.

THE EROSION OF COMPETITIVE ADVANTAGE

When users invite an AI agent into their digital lives, granting it access to their inboxes, calendars, cloud drives and private conversations, they share information they would never voluntarily disclose to a brand.

For platform executives, this represents a profound challenge. The data that once conferred competitive advantage — the ability to recommend, target and predict — is now dwarfed by the holistic understanding AI agents accumulate through trusted, ongoing relationships with users. Platforms see behavior; agents discern intent. Platforms personalize within their walls; agents hyper-personalize across the user’s entire life. Inevitably, loyalty will flow to the AI agent rather than the platform.

WHAT CAN PLATFORMS DO?

Platform operators now face a set of unattractive options. They can:

RESIST

While legal actions enable platforms to introduce technical barriers to access by AI agents from outside the firm, they may afford a breathing space, but they are unlikely to halt the shift to AI agent-enabled shopping in the longer term.

ADAPT

In tandem with their efforts to buy time, platforms are building their own AI agents to protect their customer relationships. This strategy carries risks: platforms may cannibalize their own advertising revenue by accelerating the shift away from human browsing. And they will still not be immune to the disruption by competing AI agents. The space is rapidly filling up, and it is unclear how much variation there will be across agents in the quality delivered to users. If there is, it may well emerge across customer need, with people gravitating toward different agents for health care, finance or shopping based on where they developed trust.

REINVENT

Ultimately, any long-term strategy for platforms must be predicated on a realization that their era of dominance is over, and that, in the future, they will compete to be selected by AI agents, not by human users. Such platforms reinvent their entire strategy to become ready for agents, investing in machine-readable product data, real-time pricing feeds and verification services that AI agents can consume programmatically.

The question isn’t whether this shift will happen, but whether platforms will be prepared for it.

+++

Leaders who dismiss the shift from platforms to AI shopping agents as “hype” are trapped in the assumption that the platform era will hold even as AI rewrites the rules on which platforms depend. Their organizations will not just lose competitiveness; they’ll lose the very foundation and economic logic upon which their business models rest. Without a sustainable revenue stream, the end of the platform economy is looming. The only question is who will prove resilient enough to adjust.