top of page
Search

The Default Billion: Google–Apple Search Payments, Platform Power, and the AI Turn in Digital Capitalism, Google Apple Search Deal

  • Writer: OUS Academy in Switzerland
    OUS Academy in Switzerland
  • 34 minutes ago
  • 11 min read

Author: Alex Lee, Affiliation: VBNN Group Ajman UAE


Published in U7Y Journal, Vol. 3, No. 1, 2025

© 2025 U7Y Journal | Licensed under CC BY 4.0



Abstract

This article examines a pivotal feature of the contemporary digital economy: the multibillion-dollar payments made by Google to Apple to secure default search placement across Apple’s ecosystem and the mounting pressures created by the rapid diffusion of AI-mediated search. Treating the “default” not as a neutral technical setting but as a sociological institution that structures attention, value flows, and competitive outcomes, the paper mobilizes three analytical lenses—Bourdieu’s forms of capital, world-systems theory, and institutional isomorphism—to explain (1) why such payments persist, (2) why Apple has not simply launched (or fully productized) a rival general-purpose search engine, and (3) how generative-AI interfaces destabilize the legacy “pay-for-default” business model.

The argument is threefold. First, default status functions as a conversion mechanism among economic, symbolic, and social capital, reproducing platform dominance through habituated user practices and entrenched field relations. Second, the Google–Apple arrangement exemplifies a core–periphery dynamic in digital capitalism: a small number of “core” firms capture outsized rents from control of device ecosystems, data, and ad distribution while peripheral actors confront structural barriers to entry. Third, organizational convergence—explained by institutional isomorphism—helps clarify Apple’s rational non-entry into general search at scale: pursuing search would entail costly capability building, regulatory exposure, and brand repositioning that undercuts its device-centric identity, while the default model already transforms installed-base power into services revenue.

Finally, the analysis shows how the rise of answer-centric AI (on-device and cloud-assisted) represents an inflection point: if users increasingly bypass link lists in favor of synthesized responses, the marginal value of “default search” falls. Device makers may thus pivot from exclusive default deals toward plural AI partnerships, threatening search-ad business models premised on traffic intermediation. Policy, competition strategy, and academic research must, therefore, move beyond browser defaults to interrogate AI intermediaries, data access, and interface governance in the next regime of information discovery.


Keywords

Default search; platform capitalism; Bourdieu; world-systems theory; institutional isomorphism; AI search; Apple–Google deal; attention economy; digital antitrust; device ecosystems


1. Introduction: When a Setting Becomes a System

A “default” looks trivial. It is merely the option that appears unless a user changes it. Yet in digital capitalism, defaults are institutions that shape behavior, value flows, and market structure. The Google–Apple default search arrangement crystallizes this logic. Google pays Apple very large, recurring sums to ensure that searches conducted via Safari and system-level entry points route to Google by default. The payment reflects far more than convenience: it is a recurring rent on attention, a toll for access to high-value users, and a hedge against behavioral friction that would otherwise erode share.

This article proceeds from two puzzles. First, if the rent is so large, why has Apple not captured it “directly” by launching its own general-purpose search engine at scale? Second, if AI assistants increasingly answer queries without sending users to a list of links, is the “default search” model—paying device makers for privileged placement—approaching structural obsolescence? Addressing these puzzles requires moving beyond firm-level strategy toward sociological theories of fields, institutions, and world-economic hierarchy.

I adopt a theory-informed, evidence-aware analytical essay format. The goal is not to litigate the precise accounting of any single contract year, but to interpret what the existence, scale, and persistence of these payments reveal about power in the digital economy—and to trace how AI’s arrival changes the calculus for platforms, partners, and policymakers.


2. Background: Defaults, Rents, and Recent Turning Points

For more than a decade, default search placement on Apple devices has been among the most economically consequential settings in consumer technology. In public reporting and testimony, figures disclosed for a recent year quantify the scale: payments on the order of tens of billions of dollars to maintain default status on Apple’s platforms, alongside a revenue-share construct tied to queries originating from Safari. These sums have become material to Apple’s services revenue and existential to Google’s mobile search dominance, while antitrust actions in the United States have tested the legality and limits of exclusive default arrangements.

Two recent developments contextualize the present moment. First, remedies in U.S. antitrust proceedings have moved to constrain exclusivity in default contracts while still permitting non-exclusive forms of paid default placement under various conditions. Second, Apple’s introduction of “Apple Intelligence” across devices—together with opt-in integrations with external models—signals a strategic shift toward answer-centric assistance. If AI agents intercept and satisfy a growing fraction of user intents, the historical rent of “being the default search box” will decline. The field is thus entering a transitional period in which the economics of default placement begin to decouple from the economics of information satisfaction.


3. Literature Review: From Two-Sided Markets to the Politics of Defaults

A proper account of the default-search regime requires bridging economics of platforms with critical sociology:

  1. Two-Sided Markets and Network Effects. Foundational work on platform economics explains how cross-side network effects allow intermediaries to subsidize one side (users) and monetize another (advertisers). Default placement on a dominant device platform amplifies these effects by ensuring immediate scale and reinforcing feedback loops of data, quality, and ad yield.

  2. Behavioral Economics of Choice Architecture. Defaults exploit status-quo bias and bounded rationality. Even sophisticated users rarely change defaults unless performance is poor or switching costs are trivial. In a multi-device, multi-OS world, the inertia is compounded by cross-app invocation of system-level search.

  3. The Political Economy of Data Capitalism. Beyond ad auctions, surveillance and behavioral surplus convert user activity into predictive assets. Control of the ingress point (the default) is control of the data spigot; this is why default status commands rents that appear outsized relative to any single year’s query volume.

  4. Platform Governance and Antitrust. Research on digital antitrust underscores that foreclosure can occur without outright bans on rivals; steering, defaults, and payments that raise rivals’ costs suffice to entrench incumbents. Judicial remedies that limit exclusivity without addressing data access and interface control may, therefore, leave the core rent intact.

  5. AI as Interface Revolution. The emergent literature on generative AI positions it as an interface that converts “search” from a navigational problem into a conversational satisfaction problem. This threatens click-through-based monetization and invites new forms of sponsorship, affiliation, and “answer ads,” altering the surplus-sharing equilibrium among platforms and publishers.


4. Theory: Capital, Core–Periphery, and Isomorphism

4.1 Bourdieu: How Defaults Convert Capital

Bourdieu’s triad—economic, symbolic, and social capital—illumines default search as a conversion mechanism within the platform field:

  • Economic capital → symbolic capital. By paying for default status, Google converts money into symbolic dominance: ubiquity as the “normal” search experience. Symbolic capital manifests as trust, habit, and brand-congruent expectations (“search equals Google”), which in turn reduces users’ motivation to switch.

  • Apple’s social capital → economic capital. Apple’s installed base and ecosystem lock-in constitute social capital within the field. The default deal translates that capital into services revenue with minimal operational risk.

  • Reproduction of the field. Reiterated payments entrench positions: defaults generate usage; usage generates data; data improves ranking and ads; improved performance justifies further payments. The result is a self-reinforcing habitus in which both firms’ dominance appears “natural.”

4.2 World-Systems Theory: Core Platforms and Peripheral Rivals "Google Apple Search Deal"

World-systems theory reads the digital economy as a hierarchy:

  • Core firms (e.g., Apple, Google) command control over infrastructures of attention—devices, operating systems, app stores, and search endpoints. They extract rents globally by setting interface standards and gatekeeping data flows.

  • Semi-peripheral actors (regional search engines, alternative browsers, OEMs without premium market share) face structural disadvantages: costlier acquisition, limited data scale, diminished bargaining power, and regulatory exposure without offsetting leverage.

  • Peripheral producers (content sites and SMEs) depend on the core for discovery traffic and ad demand, suffering when interface changes—like AI-generated answers—displace link clicks. The default deal thus exemplifies how surplus is captured in the core via institutional control rather than purely through technological superiority.

4.3 Institutional Isomorphism: Why Apple Does Not “Just Build Search”

DiMaggio and Powell’s framework explains Apple’s rational non-entry into at-scale general search:

  • Coercive pressures. Regulatory scrutiny of search and ads creates coercive disincentives for entering a domain saturated with legal risk. Accepting a rent from an external provider is less exposed than becoming a search monopolist’s peer.

  • Normative pressures. The identity of a premium device-and-services firm disciplines product scope. A shift into query advertising and web indexing could conflict with Apple’s privacy positioning and dilute its brand narrative.

  • Mimetic pressures. In uncertainty, firms mimic field “best practices.” Paying defaults (or accepting payment for defaults) is the stabilised template; diverging to a full in-house general search engine would require new capabilities and field legitimation.

Isomorphism thus reframes “why not build search?” as a question of institutional fit: building and operating a global crawler, index, ranking stack, ad marketplace, and publisher ecosystem is not only costly—it is organizationally misaligned with Apple’s field position and culture.


5. Method and Analytical Approach

This is a theory-driven, evidence-aware analysis. I synthesize publicly reported financial magnitudes, antitrust remedies, and announced product strategies to build a conceptual model of (a) how default rents arise, (b) why they persist, and (c) how AI alters incentives. I triangulate with classic and contemporary scholarship on platforms, institutions, and political economy. The approach is comparative and scenario-based rather than econometrically causal; the aim is mechanism-mapping and implications for stakeholders facing strategic and policy choices over the next 12–36 months.


6. Analysis

6.1 The Economics of Paying for the Default

Why does Google pay? Because the default amplifies three compounding effects:

  1. Friction avoidance. Even a few taps to change the default reduce conversion. Paying eliminates that leakage.

  2. Data compounding. More default-sourced queries mean more training data for ranking and ads, which improves results, which attracts more usage—a classic flywheel.

  3. Advertiser lock-in. Scale stabilizes auction liquidity, anchoring advertisers’ budgets and reinforcing the platform’s pricing power.

Why does Apple accept? Because the arrangement monetizes installed-base power without the fixed costs or political risk of becoming a search-ad intermediary. The payment is, effectively, a dividend on control of the premium device layer.

Is the rent “too high”? From a static perspective, yes: the figures look extreme relative to any single input cost. From a dynamic perspective, the payment buys insulation against behavioral erosion and data decay; it is a premium on preserving a dominant equilibrium in a winner-take-most market.

6.2 Why Apple Has Not Launched Full General Search

Beyond institutional isomorphism, five pragmatic constraints deter Apple from shipping a full, ad-funded, general search engine:

  1. Capability mismatch. World-class crawling and ranking require multi-year, multi-billion-dollar investment and hard-to-hire talent. Apple excels at on-device software, silicon, and user experience; global web search is a distinct industrial stack.

  2. Brand–business model tension. A privacy-forward brand conflicts with broad behavioral advertising. While Apple operates ads in some contexts, running the world’s dominant ad-funded search contradicts the center of gravity of its identity.

  3. Regulatory magnetism. Entering general search would instantly attract antitrust attention. Why trade a relatively clean services rent for the highest-heat regulatory domain?

  4. Opportunity cost. The same capital and executive bandwidth could deepen device differentiation (e.g., on-device AI), services stickiness, and ecosystem lock-in where Apple’s moats are strongest.

  5. Optionality via partners. With AI, Apple can orchestrate a portfolio of models—its own on-device intelligence plus opt-in connections to external models—thereby benefiting from the AI shift without owning a global search ad stack.

6.3 The AI Turn: From Link Lists to Answer Engines

Generative AI reframes “search” as satisfaction:

  • Interface shift. Users articulate intents (“compare the top three…,” “draft and cite…,” “summarize this PDF”), receiving synthesized outputs. The click-through list recedes.

  • Monetization shift. If answers resolve queries inside the assistant, fewer ads and affiliate clicks occur downstream. Monetization migrates to sponsored answers, context-aware suggestions, or subscription/compute margins.

  • Default value decay. If the assistant is the first touchpoint—and if it routes to different knowledge tools rather than a single web engine—the marginal value of paying for the browser’s default search box falls.

  • Data governance shift. AI assistants need broad, high-quality corpora; data partnerships, content licensing, and retrieval pipelines become battlegrounds. Control of model invocation (device OS, assistant layer) becomes the new gatekeeper.

6.4 Strategic Scenarios (2026–2028)

  1. Continuity with Adaptation. Paid defaults persist but shrink in effective value. Google pays less or structures value-based tiers; Apple diversifies assistants and keeps a slimmed default deal for legacy flows.

  2. Hybrid Orchestration. Device makers orchestrate multi-model choices. Users select among assistants; defaults exist but rotate per task class (shopping, coding, travel). Search-ad revenue fragments; answer-ad formats arise.

  3. Disruption and Rebundling. AI agents capture most top-of-funnel intents. Browser search traffic declines materially; publishers negotiate direct LLM licensing; default search rents largely vanish; value concentrates in agent ecosystems and compute.

Winners and losers. In scenario 2–3, the gatekeeping locus moves from “default search” to “default assistant.” Firms with device-level control (Apple), cross-platform assistants (incumbents and challengers), and efficient compute will extract the new rents. Legacy SEO-dependent publishers face margin compression absent new revenue-sharing compacts.

6.5 Policy and Governance Implications

  • Beyond exclusivity. Remedies focused solely on exclusive default contracts are necessary but insufficient. Policymakers must also address data access, interoperability, and assistant interface governance.

  • Transparency for AI answers. If assistants embed sponsored content or prioritize proprietary sources, disclosure rules must evolve to protect users and markets.

  • Publisher sustainability. As assistants collapse navigation, competition policy should examine equitable remuneration models for content used in training and real-time retrieval.

  • User agency. Defaults for assistants and search should be user-friendly to change, with persistent choice screens and granular task-type settings rather than one-time, obscure prompts.


7. Discussion: Rethinking Power in the Post-Search Era

The default search regime taught us that control of the first interaction yields outsized surplus. AI assistants update that lesson: control of the intent interpreter will define the next hierarchy. Bourdieu reminds us that this is not merely technical superiority; it is the conversion of economic outlays and installed-base legitimacy into symbolic dominance and habitual practice. World-systems theory warns that absent structural intervention, rents will again congregate in the core—now around assistants, models, and device orchestration. Institutional isomorphism predicts that firms will converge on similar AI orchestration patterns—hybrid portfolios, opt-in privacy framings, and curated model marketplaces—unless a competitor demonstrates a dramatic performance–cost advantage that resets the field.

Apple’s non-entry into full general search thus appears not as hesitation but as field rationality: maximize device-anchored value capture, rent out gateway control where advantageous, and re-route strategic investment to on-device and partner-mediated AI that keeps users inside the Apple experience. Google’s counter-strategy is to make the canonical “web search” itself more answer-centric, preserving the ad-funded core while layering AI affordances that slow defections.

For academics and policymakers, the imperative is to track not only who pays whom for defaults, but also who governs the assistant layer, who controls retrieval interfaces, and how data access and attribution are negotiated. The political economy of AI answers—not browser toolbars—will decide the next distribution of rents.


8. Conclusion

The multibillion-dollar default search payments between Google and Apple dramatize how seemingly minor interface choices organize the macro-economy of attention. Through Bourdieu’s conversion of capital, world-systems hierarchies, and institutional isomorphism, we can see why these payments persist, why Apple rationally resists full general-search entry, and why AI threatens the model’s foundations.

As answer engines mature, the marginal return on paying for a browser default will decline. The rent will migrate to the assistant invocation point—the true first mile of user intent. For firms, the strategy is to secure that invocation and build orchestration power over models, retrieval, and context. For policymakers, the task is to ensure that this new bottleneck does not simply re-instantiate old monopolies under a novel interface. For scholars, the opportunity is to theorize a post-search digital capitalism where defaults still matter—but where the default worth paying for is no longer a search box, it is the voice that answers first.


References

  • Bourdieu, P., 1986. Distinction: A Social Critique of the Judgement of Taste. Cambridge, MA: Harvard University Press.

  • DiMaggio, P. and Powell, W., 1983. The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48(2), pp.147–160. Available at: https://doi.org/10.2307/2095101

  • Gawer, A. and Cusumano, M. A., 2014. Industry platforms and ecosystem innovation. Journal of Product Innovation Management, 31(3), pp.417–433. Available at: https://doi.org/10.1111/jpim.12105

  • Hovenkamp, H., 2018. Federal Antitrust Policy: The Law of Competition and Its Practice. 6th ed. St Paul, MN: West Academic Publishing.

  • Kahneman, D., Knetsch, J. and Thaler, R., 1991. Anomalies: The endowment effect, loss aversion, and status quo bias. Journal of Economic Perspectives, 5(1), pp.193–206. Available at: https://doi.org/10.1257/jep.5.1.193

  • Rochet, J.-C. and Tirole, J., 2003. Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), pp.990–1029. Available at: https://doi.org/10.1162/154247603322493212

  • Srnicek, N., 2017. Platform Capitalism. Cambridge: Polity Press.

  • Stigler Committee on Digital Platforms, 2019. Report of the Committee for the Study of Digital Platforms – Market Structure and Antitrust Subcommittee. Chicago: Stigler Center, University of Chicago Booth School of Business. Available at: https://www.chicagobooth.edu/research/stigler

  • Varian, H. R., 2009. Online ad auctions. American Economic Review, 99(2), pp.430–434. Available at: https://doi.org/10.1257/aer.99.2.430

  • Wallerstein, I., 1974. The Modern World-System I: Capitalist Agriculture and the Origins of the European World-Economy in the Sixteenth Century. New York: Academic Press.

  • Zuboff, S., 2019. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs.



Google Apple Search Deal

Google Apple Search Deal
Google Apple Search Deal

Hashtags

 
 
 

This article is licensed under  CC BY 4.0

61e24181-42b7-4628-90bc-e271007e454d.jpeg
feb06611-ad56-49a5-970f-5109b1605966.jpeg

Open Access License Statement

© The Author(s). This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, adaptation, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and the source, and any changes made are indicated.

Unless otherwise stated in a credit line, all images or third-party materials in this article are included under the same Creative Commons license. If any material is excluded from the license and your intended use exceeds what is permitted by statutory regulation, you must obtain permission directly from the copyright holder.

A full copy of this license is available at: Creative Commons Attribution 4.0 International (CC BY 4.0).

License

Copyright © U7Y Journal – The Seven Continents Yearbook of Research
All rights reserved.

How to Cite and Reference U7Y Journal Articles

To ensure consistency and proper academic recognition, all articles published in the U7Y Journal – The Seven Continents Yearbook of Research should be cited following internationally recognized bibliographic standards. The journal supports multiple citation styles to accommodate diverse academic disciplines and indexing systems.
Here are standard reference formats for citing articles published in the U7Y Journal – The Seven Continents Yearbook of Research (ISSN 3042-4399). Authors, readers, and indexing services may use any of the following styles according to their institutional or publisher requirements.

Submit Your Scholarly Papers for Peer-Reviewed Publication:

Unveiling Seven Continents Yearbook Journal "U7Y Journal"

(www.U7Y.com)

U7Y Journal

Unveiling Seven Continents Yearbook (U7Y) Journal
ISSN: 3042-4399

Published under ISBM AG (Company capital: CHF 100,000)
ISBM International School of Business Management
Industriestrasse 59, 6034 Inwil, Lucerne, Switzerland
Company Registration Number: CH-100.3.802.225-0

ISSN:3042-4399 (registered by the Swiss National Library)

DOIs under the prefix 10.65326

issn-logo-1.png

The views expressed in any article published on this journal are solely those of the author(s) and do not necessarily reflect the official policy or position of the journal, its editorial board, or the publisher. The journal provides a platform for academic freedom and diverse scholarly perspectives.

All articles published in the Unveiling Seven Continents Yearbook Journal (U7J) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0)

 U7Y Journal Switzerland — ISO 21001:2018 Certified (Educational Organization Management System)

Creative Commons logo.png

© 2025 U7Y Journal. All articles are published under the Creative Commons Attribution License (CC BY 4.0).
Each publication is assigned a unique Digital Object Identifier (DOI) under the prefix 10.65326, registered with Crossref by the International School of Business Management – VBNN Smart Education Group.
Authors retain copyright of their work while granting U7Y Journal the right to distribute, archive, and promote it for scholarly and educational purposes worldwide.

bottom of page