AI is reshaping the "decision layer": control of the entry point may move upward from search, applications, and operating systems to AI assistants.

Overview

This report focuses on whether AI will become the new "decision layer"—the entry layer where, after users express intent, AI automatically calls applications, services, search, advertising, and enterprise workflows. Using the hypothetical but highly unlikely scenario of Microsoft acquiring OpenAI, the report analyzes OpenAI's true value, the trade-offs between an independent frontier AI company and an internal division within a hyperscaler, and how AI could reshape the competitive dynamics between Microsoft and Google.

Core views

The report argues that ownership of the AI decision layer may be more important than any individual application, browser, or operating system. Microsoft has already secured an important position through its investment in OpenAI, Azure infrastructure, and Copilot; in theory, a full acquisition could improve synergies, economics, and execution speed, while reducing the risk of OpenAI becoming a platform threat in the future. But Bank of America is more inclined to believe that the current partnership is more valuable than a full acquisition, because a complete merger would trigger major risks including antitrust issues, financing burdens, talent loss, impaired platform neutrality, and cultural conflict. For Google, an independent OpenAI becoming the default cross-platform AI layer could be more disruptive than OpenAI being acquired by Microsoft and turned into a Microsoft ecosystem product.

Analysis framework

The report uses a scenario analysis approach, treating "Microsoft fully acquires OpenAI" as an extreme case to break down the strategic value of the AI decision layer, synergy potential, regulatory constraints, financing feasibility, talent and cultural risks, and the implications for Google's search gateway and Microsoft's enterprise software ecosystem.

Methodology notes

• Strategic scenario analysisAI decision-layer ownership framework

  Decision layer

  The decision layer refers to the starting point of the consumer and enterprise digital journey, where users express intent and the system decides which applications, services, search results, advertisements, or enterprise workflows to invoke.

• Competitive landscape analysisPlatform entry-point migration

  Migration from search/applications/operating systems to AI assistants

  The report argues that AI assistants may sit above traditional search, browsers, applications, and operating systems, redistributing traffic, user intent, and monetization rights.

• Valuation methodP/E multiple method

  Basis for target price

  Alphabet's target price is based on 27x 2027E core Google GAAP EPS plus cash; Microsoft's target price is based on 24x CY27E P/E.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• Microsoft Corporation (MSFT)

  Core company affected; participates in AI decision-layer competition through OpenAI, Azure, Copilot, and Microsoft 365.

  Strengths

  Strong enterprise distribution, the Office/Windows/Teams/GitHub/Azure ecosystem, deep cooperation with OpenAI, and enterprise sales capabilities.

  Weaknesses

  Copilot penetration remains low, and a full acquisition of OpenAI would face regulatory, financing, cultural, and talent risks.

  Comparison

  Compared with independent OpenAI, Microsoft is stronger in enterprise workflows and infrastructure; compared with Google, Microsoft has greater embedded advantages in productivity software and the enterprise side.

  Risks

  Pressure on Azure margins, AI applications and model providers innovating faster than Microsoft, cyclical enterprise application spending, and potential organizational friction from an acquisition.

• Alphabet Inc. (GOOGL/GOOG)

  Its search gateway and advertising monetization face migration risk from the AI decision layer, while it also possesses Gemini, search, Chrome, and cloud capabilities.

  Strengths

  Leading search and browser traffic, strong advertising monetization, Gemini integrated with the Google ecosystem, and potential for Cloud margin expansion.

  Weaknesses

  If users shift from search to AI Q&A, search traffic and the advertising business model may be weakened.

  Comparison

  Compared with Microsoft, Google is more dependent on the search gateway; compared with independent OpenAI, Google faces the risk of a default cross-platform AI layer becoming a substitute.

  Risks

  Rival AI tools diverting search traffic, the pace or revenue impact of integrating LLMs into search falling short of expectations, EU DMA compliance pressure, and AI investment driving up capex while depressing free cash flow.

• OpenAI

  A key AI decision-layer asset in the report's scenario analysis; although not publicly listed, it has an important impact on the valuation logic for Microsoft and Google.

  Strengths

  Frontier models, ChatGPT as a user entry point, an independent brand, developer neutrality, and talent attraction.

  Weaknesses

  If fully absorbed by a large platform, it may lose neutrality, cultural speed, and some top talent.

  Comparison

  As an independent company, it poses a greater potential threat to Google; if acquired by Microsoft, synergies would be stronger but universality and neutrality could decline.

  Risks

  Regulatory scrutiny, commercialization pressure, safety and political responsibility, talent attrition, and ecosystem substitution.

Key data

• Microsoft investment in OpenAIUS$13bn+The report states that Microsoft has invested more than US$13 billion in OpenAI.
• Microsoft ownership stake in OpenAI's for-profit entity27%After the reorganization as of the end of 2025, on a converted basis, Microsoft holds 27% of the for-profit entity, excluding the impact of the recent financing round.
• Microsoft Copilot user count15mnRecently disclosed quarterly figure, equivalent to about 3.5% of the Microsoft 365 enterprise user base.
• OpenAI valuation约 US$852bn post-moneyThe report says the post-financing valuation is about US$852 billion, implying an acquisition cost well above US$800 billion.
• Microsoft cash and equivalents约 US$90bnInsufficient relative to the potential acquisition size, requiring large-scale debt, equity dilution, or complex financing.
• Microsoft annual capital expenditure预计超过 US$100bnThe company is already in a high capex cycle amid AI and data-center infrastructure expansion.
• Alphabet target priceUS$370/US$370For GOOGL/GOOG, based on 27x 2027E core Google GAAP EPS plus cash.
• Microsoft target priceUS$500Based on 24x CY27E P/E, above the 18-22x peer range.

Impact & implications

If the AI decision layer becomes the new default entry point, it will reshape value distribution across search, office software, cloud infrastructure, model providers, and advertising platforms. Microsoft's advantages lie in enterprise distribution, Azure, Office, Windows, GitHub, and its OpenAI relationship, but its best path may be to maintain partial control and deep cooperation rather than bear the regulatory and organizational costs of a full acquisition. Google's core challenge is that its search gateway and advertising monetization may be weakened by AI-native interactions, especially if tools such as OpenAI, Anthropic, Perplexity, or Gemini become users' point of intent entry.

Risks

• A full Microsoft acquisition of OpenAI would face intense antitrust scrutiny, with regulators likely focusing on vertical control across Azure, OpenAI models, and Office/Windows/GitHub distribution.
• With OpenAI valued at about US$852 billion, the potential deal size would far exceed Microsoft's cash reserves and could lead to massive debt or equity dilution.
• If OpenAI were integrated into Microsoft, it could weaken the culture of an independent frontier lab, developer neutrality, and talent retention.
• If AI assistants replace search as the default entry point, Google's search traffic and advertising monetization could come under pressure.
• Investment in AI infrastructure could drive up capital expenditures and put pressure on free cash flow and margins.
• If Copilot adoption continues to trail expectations, it could intensify market concerns about Microsoft's AI execution.

What to watch

• Microsoft 365 Copilot penetration and the pace of paid adoption.
• Changes in mobile DAU and time spent for AI applications such as ChatGPT, Gemini, Claude, and Perplexity.
• Whether Google search traffic continues to grow incrementally, or begins to be meaningfully displaced by AI Q&A.
• Changes in the cooperation framework, exclusivity, cloud capacity, and equity structure between Microsoft and OpenAI.
• Regulatory attitudes in the US, UK, and EU toward AI partnerships or M&A involving large technology companies.
• Alphabet Cloud margins, AI capital expenditure, and the quality of search advertising monetization.