🚀 Welcome to AI Unraveled (January 15th, 2026): Your strategic briefing on the business, technology, and policy reshaping artificial intelligence.
Today, we dive into the details of the Apple-Google partnership, where Apple plans to strip Google’s branding from the Gemini-powered Siri. Meanwhile, Meta doubles down on infrastructure with a massive new “Meta Compute” division, and Google pivots hard to creators with new vertical video tools. Plus, China blocks Nvidia’s H200 chips despite US approval, and Matthew McConaughey trademarks his own face to fight deepfakes.
Strategic Pillars & Key Topics:
📱 Mobile & Platforms
Apple’s “White Label” Gemini: Reports indicate Apple will customize Google’s Gemini model heavily, removing Google branding and ensuring data stays on Apple’s Private Cloud Compute. The new Siri will answer questions directly without links and infer context from your messages (e.g., knowing who “Mom” is).
Gemini Personal Intelligence: Google launches a beta feature that connects data across Gmail, Photos, and YouTube to offer proactive advice—like suggesting tires based on your car photos.
🏗️ Infrastructure & Economy
Meta Compute: Zuckerberg launches a top-level initiative to build tens of gigawatts of AI capacity, committing $600B by 2028. This comes alongside layoffs in Reality Labs, signaling a total shift from Metaverse to AI infrastructure.
Microsoft’s “Good Neighbor” Pledge: Microsoft promises its data centers won’t raise local electricity rates and will replenish water supplies, a direct response to growing community backlash.
🎨 Creative & Media
Google Veo 3.1: New tools automatically turn portrait photos into vertical videos for TikTok/Shorts and upscale content to 4K, solving a major pain point for creators.
McConaughey vs. AI: Matthew McConaughey trademarks his voice and likeness to legally block AI cloning, setting a potential precedent for celebrity rights.
⚔️ Geopolitics & Defense
China Blocks Nvidia: In a twist, China’s customs officials—not the US—have blocked imports of Nvidia H200 chips, leaving $54B in orders stranded and forcing local tech giants to rely on Huawei.
Pentagon Deploys Grok: The US DoD confirms it will deploy xAI’s Grok across defense networks for 3 million users, handling secure “Impact Level 5” data.
🧬 Science & Medicine
Basecamp Research “Eden”: A new AI model trained on 1 billion species has designed a gene-editing tool safer than CRISPR and antibiotics effective against superbugs.
Keywords:
Apple Gemini Deal, White Label AI, Meta Compute, AI Infrastructure, Google Veo 3.1, Nvidia H200 China Ban, Pentagon Grok Deployment, Basecamp Research Eden, Matthew McConaughey AI Trademark, Microsoft Data Center Water, Gemini Personal Intelligence.
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🤖 Gemini introduces ‘Personal Intelligence’
Google is launching Personal Intelligence, a beta feature in the Gemini app that lets the AI assistant connect across Gmail, Photos, Search, and YouTube history to deliver tailored responses.
The feature can reason across your data without being told where to look, such as suggesting all-weather tires after spotting family road trip photos or pulling a license plate number from Pictures.
Personal Intelligence is off by default and rolling out to Google AI Pro and AI Ultra subscribers in the U.S., with plans to expand to more countries and Gemini’s free tier later.
📱 Apple to customize Gemini AI without Google branding
Apple will customize its version of Google’s Gemini AI model independently and may remove Google branding from the experience, according to a new report from The Information about the partnership.
The Gemini-powered Siri will run on Apple devices and Private Cloud Compute, meaning Google won’t have access to user data, and Apple expects it to answer questions directly instead of listing links.
Apple also wants the new Siri to handle unclear requests by searching through messages to identify contacts, like figuring out which contact is your mother even if not labeled that way.
🚫 China blocks Nvidia H200 imports despite US approval
China’s customs officials blocked Nvidia H200 chip shipments on January 14, just one day after the US Commerce Department approved exports, leaving over $54 billion in orders stuck at checkpoints.
Chinese tech giants including Alibaba and ByteDance have ordered 2 million H200 chips, nearly three times Nvidia’s current inventory, after three years of US export restrictions created massive pent-up demand.
The H200 outperforms Huawei’s Ascend 910C by 32% in processing and 50% in memory bandwidth, forcing Chinese AI labs to choose between unreliable US supply chains or slower domestic chips.
📹 Google’s Veo now turns portrait images into vertical AI videos
Google’s Veo 3.1 AI video tool can now turn portrait images into vertical videos, letting users create clips ready for TikTok and YouTube Shorts without needing to crop them manually afterward.
The Ingredients to Video feature, which generates clips from up to three reference images, now keeps characters looking the same across different scenes and lets users reuse objects and backgrounds consistently.
Google is also adding 4K upscaling for generated videos, up from the previous 1080p limit, and bringing these updated tools to the Gemini app, YouTube Shorts, and the YouTube Create app.
🏗️ Zuckerberg’s massive AI infrastructure push
Meta just announced Meta Compute, a new “top-level initiative” to build AI infrastructure at unprecedented scale — with plans to add tens of gigawatts of capacity this decade and hundreds of gigawatts over time.
The details:
Infrastructure chief Santosh Janardhan will co-lead the effort with Daniel Gross, who came over from AI safety startup SSI last year.
Meta has committed $600B in U.S. infrastructure spending by 2028 and recently locked in 20-year nuclear power agreements for its data centers.
Newly appointed president and former Trump national security official Dina Powell McCormick will handle government deals to finance and build capacity.
The announcement comes amid reported major layoffs to Meta’s Reality Labs and metaverse/VR divisions, with a roughly 10% cut expected this week.
Why it matters: Zuck and co. splashed some serious cash on poaching top AI talent in the summer, and now they are doubling down on the compute front as well. With the AI race increasingly becoming an infrastructure one, Meta’s initiative aims to ensure that scale won’t be the bottleneck in leveling up to the frontier.
😇 Microsoft’s ‘good neighbor’ AI data center initiative
Image source: Microsoft
Microsoft just launched ‘Community-First AI Infrastructure’, a new plan promising that its data centers won’t raise local electricity prices, will replenish more water than they use, and will invest in jobs and training for nearby residents.
The details:
The company says it will ask utilities to charge rates high enough to cover the full cost of powering its data centers, so residential bills aren’t affected.
Microsoft is committed to a 40% reduction in water-use intensity by 2030, with new facilities using closed-loop cooling that doesn’t tap local drinking water.
The tech giant also pledged to pay full property taxes without breaks, and announced new programs to train locals for data center construction jobs.
The announcement follows pressure from senators and comments from President Trump that tech companies need to “pay their own way” on energy.
Why it matters: AI’s infrastructure surge shows no signs of slowing down, but they’ve become divisive in communities across the country over spiking power bills and water supply concerns (some valid, others overblown). Microsoft’s pledge is a good start, but it’ll likely take more than this to turn the PR tides from the current major backlash.
🧬 AI learns from 1M species to design new medicine
Image source: Basecamp Research
UK startup Basecamp Research introduced Eden, a new family of AI models developed with Nvidia that learned from evolutionary data across 1M species to design potential new treatments for genetic diseases and drug-resistant infections.
The details:
Eden learned from DNA collected across 28 countries, studying how organisms evolved to solve biological problems over billions of years.
The AI designed a new type of gene-editing tool that can insert therapeutic DNA without cutting it, a potentially safer approach than methods like CRISPR.
In lab tests for diseases like muscular dystrophy and hemophilia, over 63% of the AI-designed treatments were functional.
Eden also created new antibiotic candidates, with 97% proving effective against dangerous ‘superbugs’ that don’t respond to existing drugs.
Why it matters: Most people don’t think about where new medicines come from until they need one that doesn’t exist. Basecamp’s approach of teaching AI to learn from billions of years of evolution could help speed up treatments for genetic diseases and a growing crisis of antibiotic-resistant infections that current drugs can’t address.
Matt McConaughey trademarks himself to prevent AI cloning.
Matt McConaughey trademarks himself to prevent AI cloning. In the first round of tens of thousands of celebrities. If he is successful, expect AI deepfakes of them to be harder to do and more easily found and enforced.
https://www.linkedin.com/news/story/mcconaughey-takes-on-ai-by-trademarking-video-voice-8160066/
Google went from being “disrupted” by ChatGPT, to having the best LLM as well as rivalling Nvidia in hardware (TPUs). The narrative has changed. Is it genuine or just PR hype.
About a year ago, the prevalent narrative around Google was one of doubt and uncertainty. After decades of dominance in the search market, and being the gateway to the internet, Generative AI was finally considered to be rivalling Google search. Companies like ChatGPT, Anthropic and Perplexity were competing with Google Search.
This called into question about Google’s future prospect. Because Google makes most of its money through advertisements, through Google search. And a decrease in google search traffic will reduce the advertising revenue, which will in turn affect is valuation, since there will be a decrease in the future cash flow. (Remember, the value of a company is the PV of sum of all cash flows).
But then, towards the end of the year, Google launched Gemini 3, and since then, it’s been considered to be the best AI Model. ChatGPT, which was the dominant LLM since it was release on 30th November 2022, saw its market share halved by end of October 2025.
Then, it was revealed that Gemini 3 was trained exclusively on TPU’s, which are Google’s own custom processors. Moreover, Claude 4.5, which was launched just a few days after Gemini 3, also used Google’s TPUs for its training.
Overall, they are now the only company that has a stake in every layer of the AI Value Chain.
Now, Google has begun 2026 in full gear. They are now focusing more on the application layer of the AI Value Chain. And that is crucial, since this is the only way in which the whole of AI Industry stabilizes itself and gets rid of the “bubble” tag.
Apple announced that the updated Siri will be powered by Google’s Gemini.
The other thing they revealed was the Universal Commerce Protocol.
So, the public narrative around Google has changed significantly over the past 1 year. And it has been reflected in terms of stock performance, Google rose by around 65% over the past year.
Their market cap also crossed the $4 billion dollar line for the first time in their history. In the process they became only the 4th company in history to achieve this feat. Nvidia, Apple & Microsoft were the other 3 companies. However, Apple & Microsoft have dropped down.
Currently, Google’s (Alphabet’s) valuation is second only to Nvidia, but in terms of Revenue & operating income, it is actually better than Nvidia.
Official: Pentagon confirms deployment of xAI’s Grok across defense operations, joins Google AI
US Secretary of War Pete Hegseth confirmed that the US Department of Defense will begin using xAl’s Grok Al across Pentagon systems later this month.
The deployment allows both military and civilian personnel to use Grok at Impact Level 5, enabling secure handling of Controlled Unclassified Information within daily defense workflows.
Grok will be embedded directly into operational and planning systems, supporting intelligence analysis, decision making & military planning. The system will also use real time global signals from open source and social data on X.
The rollout is designed to scale to roughly 3 million users across defense operations, with the initial phase starting this month.
Sources include reporting from the Associated Press, Washington Post & official Pentagon announcements.
Everything else in AI today
Anthropic introduced Anthropic Labs, a new team focused on building prototypes of AI tools, with CPO and Instagram co-founder Mike Krieger shifting to lead the division.
Google updated its open-source MedGemma medical AI with abilities for interpreting scans like CT and MRIs, also releasing an open MedASR speech-to-text tool.
Claude Code creator Boris Cherny revealed that Anthropic’s new Claude Cowork feature was entirely built using the agentic coding tool in just 1.5 weeks.
U.S. Defense Secretary Pete Hegseth said the Pentagon is adding xAI’s Grok into military networks by the end of the month to accelerate AI use across the department.
Japanese lab Sakana AI announced that its ALE-Agent for coding took first place in the AtCoder Heuristic Contest, the first time an AI has won the event.
McKinsey CEO Bob Sternfels said the consulting giant counts 25k AI agents among its 60k “person” workforce, with plans to pair every consultant with at least one agent.
