Google to Release New AI Chips, Challenging Nvidia | Bloomberg Tech 4/20/2026
TL;DR
Google prepares to launch specialized AI inference chips this week while facing supply constraints from major customers, as Blue Origin achieves mixed space mission results and Apple plans a major Siri overhaul using Gemini technology.
💻 Google's AI Chip Strategy 4 insights
Dedicated inference chip unveiling
Google will announce a new processor specialized for inference workloads at its Las Vegas event this week, splitting from its current combined training/inference chip design.
Supply chain shift to Marvell
The company is reportedly in talks with Marvell for future TPU production, diversifying from Broadcom as it struggles to meet demand from frontier labs.
Major customer deals signed
Meta signed a multibillion-dollar multi-year contract for TPUs and is receiving its first shipments, while Anthropic and Citadel remain key customers facing supply shortages.
Vertical integration advantage
Google uses data from its internal Gemini model teams to optimize chip precision and utilization, offering optimization capabilities that pure chipmakers cannot match.
🚀 Blue Origin's Mixed Mission 4 insights
Booster reuse milestone achieved
New Glenn successfully landed its reusable booster for the first time, validating a core component of the company's business model.
Payload placement failure
The rocket placed an AST SpaceMobile satellite in an incorrect low orbit without sufficient thrusters to self-correct, causing the customer's shares to plunge despite insurance coverage.
Ambitious flight cadence targets
CEO Dave Limp stated the company aims for 8-12 flights this year, up from two last year, citing indefinite sold-out demand if weekly launches were possible.
Space tourism paused for lunar focus
Blue Origin paused its New Shepard tourism program for two years to redirect resources toward the Artemis lunar mission program.
📱 Apple's Intelligence Overhaul 3 insights
Siri interface redesign revealed
WWDC teaser imagery reveals a new Siri interface featuring a glowing cursor and updated typography, replacing the old orb design.
Gemini-powered backend
The revamped assistant uses Gemini model technology to communicate with Apple's own models and analyze on-device data for improved action-taking capabilities.
Standalone chatbot app planned
Apple plans to launch a standalone Siri chatbot app and a Perplexity competitor for web search summaries, moving beyond simple command execution.
📊 Market Volatility and AI Demand 3 insights
Tech rally hits geopolitical headwinds
The NASDAQ 100's 13-day winning streak ended as President Trump indicated the Iran cease-fire would likely not extend, raising supply chain concerns.
Supply constraints vs. spending fears
Despite concerns over $650 billion in hyperscaler AI infrastructure spending, actual chip shortages remain the primary limiting factor for growth.
Investment strategy remains constructive
Portfolio manager Anna Rathbone advises staying invested in hyperscalers while hedging with manufacturing and industrial sectors exposed to data center buildouts.
Bottom Line
Investors should focus on vertically integrated hyperscalers like Google and Apple that control both AI model development and custom chip design, as supply constraints and geopolitical volatility create competitive moats for those with proprietary hardware stacks.
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