# VC10X Pulse - Apple X Google AI Deal: Explained in simple words

An episode of [VC10X - Investing, Venture Capital, Asset Management, Family Office, Wealth Management](https://invisiblenetwork.ai/podcast/1632806986), 15 Jan 2026, 4:01.

Audio: https://anchor.fm/s/a453ddd4/podcast/play/114035040/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2026-0-15%2F416166828-44100-2-dae9dfe2030f.mp3

On January 12, 2026, Apple officially announced a multi-year partnership with Google to integrate Gemini models into the next generation of Siri and Apple Intelligence. This decision marks a significant pivot in the AI landscape, as Apple bypasses OpenAI for its default system integration. In this deep dive, we analyze the strategic reasoning behind this deal, the technical implications for iOS 26.4, and the data-driven factors—including declining ChatGPT usage trends—that influenced this shift. What does this mean for the future of OpenAI, and who are the true winners in the AI infrastructure race? TIMESTAMPS 0:00 – The Strategic Shift: Apple Partners with Google 0:39 – Deal Structure: $1B/Year & Technical Integration 1:26 – The OpenAI Challenge: Usage Declines & "Code Red" 2:12 – Winners & Losers: Google, Apple, Microsoft, & Anthropic 2:46 – Investment Implications: The Infrastructure Play 11:00 – Conclusion: The Maturation of Enterprise AI KEY ANALYSIS ✅ The Deal: Apple selected Google Gemini due to proven infrastructure reliability and scaling experience (Galaxy AI), rejecting OpenAI despite early testing. ✅ OpenAI's Position: The loss of default Siri integration comes amidst a ~6% weekly decline in ChatGPT daily active users, signaling a need for a B2B pivot ✅ Technical Integration: Gemini will process queries via a hybrid of Apple Silicon and Google Private Cloud Compute, preserving privacy while enhancing Siri's reasoning capabilities. ✅ Market Impact: This solidifies Google Cloud's position in the mobile ecosystem while challenging the "startup model" of AI deployment in favor of established enterprise infrastructure. SOURCES & DATA - Apple/Google Partnership Announcement (Jan 2026) - SimilarWeb/Analytics Usage Data (ChatGPT Trends) - Industry Reports on AI Infrastructure & Cloud Computing LINKS Prashant Choubey - https://www.linkedin.com/in/choubeysahab Subscribe to VC10X newsletter - https://vc10x.beehiiv.com Subscribe on YouTube - https://youtube.com/@VC10X Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986 Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ VC10X website - https://vc10x.com For sponsorship queries reach out to prashantchoubey3@gmail.com SUBSCRIBE FOR MORE VC10X breaks down the most important stories in finance, tech, and markets every week. Subscribe for actionable insights. #AppleIntelligence #GoogleGemini #OpenAI #Siri #ArtificialIntelligence #TechNews #StockMarket #MacroEconomics #GOOG #AAPL

## Transcript

[0:00] On January 12, 2026, Apple announced a multi year
[0:03] partnership with Google to integrate Gemini models into
[0:06] Apple Intelligence and the next generation of Siri.
[0:08] This decision follows Apple's evaluation of multiple AI
[0:11] providers, including Open AI and Anthropic.
[0:14] The choice reflects enterprise priorities around reliability,
[0:17] scale, and proven integration experience.
[0:20] Notably, this comes as ChatGPT faces declining users trends
[0:24] down approximately 6% week over week over recent analytics.
[0:29] Today, we analyze the technical details of this deal, its impact
[0:32] across the AI ecosystem, and the strategic imlications for 2026.
[0:38] First, let's talk about the deal structure.
[0:41] The agreement positions Gemini as the foundational model for
[0:44] future Apple intelligence features with initial Siri
[0:46] enhancements arriving in iOS 26.4 this spring.
[0:50] Now the key technical components of this deal on device plus
[0:54] cloud hybrid Gemini processing occurs via Apple Silicon NVU and
[0:59] Google private cloud compute preserving end to end encryption
[1:03] enhanced capabilities. Siri gains contextual reasoning
[1:06] for tasks like cross app data synthesis.
[1:09] Financial scope Apple reportedly commits approximately $1 million
[1:13] annually for model access and infrastructure.
[1:17] Apple cited Google's successful Galaxy AI roll out on Samsung
[1:21] devices as a key differentiator, demonstrating production scale,
[1:24] reliability, all the implications for Open AI.
[1:28] Open AI maintains opt in ChatGPT integration but looses default
[1:31] CD positioning. This represents A meaningful
[1:34] shift given Apple's prior role as the largest consumer AI
[1:37] distribution partner. The strategy context for Open AI
[1:40] usage pressure charts indicate sustained declines in daily
[1:44] active users contributing to the internal Code Red memo, which we
[1:47] discussed in an earlier video. Enterprise pivot required with
[1:51] consumer distribution narrowing. Open AI must accelerate B to B
[1:55] adoption via Microsoft Copilot and API partnerships model
[1:59] pressure. The rumour Garlic model carries
[2:01] increased urgency to demonstrate superior reasoning capabilities.
[2:05] Microsoft, as Open AI's primary backer, faces indirect pressure
[2:09] as Azure workloads shift towards Google Cloud.
[2:12] Let's analyze the ecosystem impact.
[2:15] This partnership clarifies competitive positioning across
[2:18] the AI landscape. Google seems to be the clear
[2:21] winner now as it powers 2.2 billion iPhones and it validates
[2:26] Gemini enterprise readiness. Apple also scores the strategic
[2:30] win. It accelerates AI without
[2:32] proprietary model risk. Open AI seems to be challenged.
[2:36] It must prove consumer to enterprise transition.
[2:39] The decision underscores enterprise preference for proven
[2:42] infrastructure over the emerging models during scale deployments.
[2:46] Now let's look at the market implications.
[2:48] This development reinforces several macro trends.
[2:51] AI infrastructure consolidation. Google Cloud gains significant
[2:55] mobile workloads. Expect accelerated investment in
[2:58] Dpus and distributed inference as consumer software
[3:01] commoditizes CES hardware. That is, Tesla AI5 humanoids
[3:06] represents higher margin opportunities requiring physical
[3:10] reasoning beyond Siri model maturity shift.
[3:14] Enterprises prioritize reliability over benchmark
[3:16] leadership, favouring incumbents with operational history.
[3:20] For investors, this validates positioning in AI
[3:23] infrastructure. Compute cloud edge hardware over
[3:26] pure consumer chatbot exposure. Let's talk about the enterprise
[3:30] AI reality. Apple's selection of Google
[3:32] Gemini reflects the maturation of enterprise AI decision
[3:36] making, favouring proven scale over experimental promise.
[3:40] The competitive landscape has clarified infrastructure
[3:43] providers gain durable advantage as consumer interfaces
[3:47] standardise for market participants.
[3:49] This underscores the shift from AI hive to AI operations.
[3:53] That's all for this week. We'll be banked next week with
[3:55] another story from the front lines of global investing,
[3:59] VC10X.

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