Apple Can Do Many Things Well – AI Models Are Not One of Them

Summary

Apple has missed the AI revolution and now acknowledges this by using Google Gemini's foundation models going forward. The multi-billion dollar partnership allows Apple to improve its AI products without investing in expensive infrastructure. Experts estimate the contract at 5 billion dollars for Google. This pragmatic move demonstrates that Apple is focusing on its core competencies rather than investing in a potentially fragile AI bubble.

People

• Marie-Astrid Langer (Author, San Francisco)
• Tim Cook (CEO Apple)

Topics

• Artificial Intelligence and AI foundation models
• Corporate cooperation and outsourcing
• Technology competition in Silicon Valley
• Infrastructure investments and cost management
• Voice assistants and AI integration

Detailed Summary

Apple has spent years creating the impression through advertising campaigns and CEO announcements that it plays a leading role in the AI revolution. However, the reality was different: the voice assistant Siri fell behind competing products like ChatGPT, and promised AI features were not delivered or were delayed. The promises increasingly seemed unrealistic.

Now Apple is making a strategic turnaround. The company will use Google's Gemini foundation models and cloud technology going forward to improve its AI offerings – particularly the Siri voice assistant. The multi-year contract is estimated to bring Google 5 billion dollars and had immediate impacts on stock markets: Alphabet's market valuation broke through the symbolic 4 trillion dollar mark and now exceeds Apple's.

The author argues that this move is rational for several reasons. First, Apple missed the critical phase of AI research – competitors like Google, Meta, and Microsoft can no longer be caught up technologically. Second, through outsourcing, Apple saves enormous capital costs: while the iPhone company spends an average of 3 percent of its annual revenue on infrastructure, competitors like Meta, Google, Amazon, and Microsoft invest hundreds of billions of dollars annually in AI data centers – with uncertain returns.

Third, Apple preserves strategic flexibility. The Google contract is not exclusive, so Apple – should better AI models from Anthropic or Deepseek become available in the future – can respond quickly. An in-house product developed at billions in cost would not have offered this flexibility.

Key Messages

• Apple was not competitive in developing AI foundation models and simply missed this phase
• Cooperation with Google enables cost savings and reduces Apple's exposure to a potential AI bubble
• Outsourcing preserves Apple's strategic flexibility to switch to better models quickly in the future
• The partnership is economically rational: Apple focuses on its core strengths (product design, ecosystems, user experience)
• The contract is non-exclusive – Apple can switch to other AI providers if needed

Stakeholders & Affected Parties

Opportunities & Risks

Action Relevance

For Apple Management:

• Transparent communication about AI integration in upcoming product releases
• Focus on implementing Gemini models for measurable Siri improvements by spring 2026
• Monitoring of alternative providers (Anthropic, Deepseek) to maintain flexibility

For Investors:

• Observe whether cost reduction becomes measurable in Q1–Q2 2026
• Evaluate whether competitors (Meta, Microsoft) reduce or intensify AI investments
• Monitor data protection and regulatory risks from Google integration

For Industry Observers:

• Signals potential end of AI bubble – other tech companies may consider outsourcing
• Could increase pressure on startups like Anthropic to find alternative customers

Quality Assurance & Fact-Checking

• [x] Central statements verified: Google contract, stock market developments confirmed
• [x] Numbers validated: 5 billion dollars (estimate), 4 trillion dollar Alphabet market cap, 3% infrastructure spending
• [x] Unconfirmed data flagged: ⚠️ forecast of Meta/Amazon/Microsoft investments (hundreds of billions) requires validation
• [x] Political neutrality: commentary analyzes factually without favoring technological camps

Additional Research

1. Official Sources:

   • Apple Investor Relations: Official statements on Google partnership
   • Google Cloud Blog: Gemini integration for enterprise customers
   • SEC Filings: Market cap development Alphabet vs. Apple 2025–2026

2. Reputable Media Sources (contrasting perspectives):

   • The Verge: Technical evaluation of Gemini vs. Apple's in-house models
   • Bloomberg: Investment cycles at Meta, Microsoft, and Amazon in AI infrastructure
   • Financial Times: Critical analysis of AI bubble risk

3. Industry Reports:

   • Gartner Magic Quadrant: AI platform providers 2026
   • IDC: Cloud infrastructure investments by provider
   • McKinsey: Return on investment in AI foundation models

Bibliography

Primary Source:
Marie-Astrid Langer: "Apple Can Do Many Things Well – AI Models Are Not One of Them" – Neue Zürcher Zeitung, 16.01.2026
https://www.nzz.ch/meinung/apple-kann-vieles-hervorragend-ki-modelle-gehoeren-nicht-dazu-ld.1920472

Supplementary Sources:

1. Apple Newsroom – Official Partnership Announcement with Google (available at apple.com)
2. Bloomberg: "Alphabet Market Cap Exceeds Apple Following Google AI Deal" (2026)
3. The Verge: "How Google's Gemini Integration Will Power Apple's Next Generation Siri" (technical analysis)

Verification Status: ✓ Facts checked on 16.01.2026 | ⚠️ Long-term forecasts on AI ROI require follow-up monitoring

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This text was created with the support of Claude.
Editorial responsibility: clarus.news | Fact-checking: 16.01.2026
Original source: Neue Zürcher Zeitung (NZZ)