Andrew Sharp

Andrew Sharp × Ben Thompson

Microsoft’s 15% one-day rally reflects a strategy to become the trusted enterprise layer between customers and frontier-model providers, rather than lead model creation.Its breadth, sales force, and customer relationships echo IBM’s 1990s playbook, but direct adoption of OpenAI or Anthropic could move faster while improving models make Microsoft’s orchestration harness a constraint.

Andrew Sharp × Ben Thompson

Apple’s mid-cycle Mac price increases suggest it missed the memory shock in both procurement and pricing, while delayed Siri may arrive in 2026 with 2024-era capabilities.As major suppliers prioritize HBM, DRAM scarcity could let Chinese producers climb the learning curve profitably, with export controls potentially accelerating that competition.Vibe coding makes highly bespoke software viable: an AI assistant catalogs household objects, recognizes roughly 95% from photos, and links them to locations through QR codes.

Andrew Sharp × Ben Thompson

AWS’s 28% growth and expanding margins reinforce its cost-led cloud strategy, combining custom silicon, service breadth and lock-in to turn infrastructure efficiency into pricing power.Large-scale training still favors NVIDIA’s tightly connected data-center architecture, but cheaper, more efficiently utilized inference could make Trainium and AWS’s commodity economics a stronger AI catalyst.

Andrew Sharp × Ben Thompson

Apple’s iPhone 17 cycle adds new form factors, AI-oriented GPU components, more memory, cameras, and battery capacity, but its flat reception reflects the absence of a credible AI future rather than weak hardware.The iPhone Air can serve as an engineering platform for miniaturization and heat management, while the Pro becomes a thicker tool; accepting roughly $20 billion annually from Google left Apple highly profitable but weakened its data and AI capabilities.

Andrew Sharp × Ben Thompson

Intel’s 14A disclosure makes its capital constraint explicit: without a meaningful external customer, internal products cannot support the node’s returns, while its integrated culture remains poorly suited to outside foundry clients.Samsung’s $16.5 billion Tesla deal could anchor a second US leading-edge supplier, improving resilience before Intel recovers; Google Cloud’s AI growth likewise shows incumbents can fund competition, though margins and OpenAI’s financing remain unresolved.

Andrew Sharp × Ben Thompson

Judge William Alsup’s Anthropic ruling treats training on purchased copyrighted books as fair use while allowing claims over pirated inputs, separating transformative use from unlawful acquisition.Liability focused on infringing outputs rather than ingestion could preserve competition, but requiring aggressive filters or costly compliance would structurally favor closed incumbents; lawful public training corpora remain a congressional catalyst.

Andrew Sharp × Ben Thompson

Apple’s retreat from unfinished AI features and opening of on-device models favor execution and developer experimentation, while deeper ChatGPT integration could make the iPhone an attractive vessel for external intelligence.Meta’s reported $14.8 billion investment for a 49% Scale AI stake signals an AI leadership reset, but ownership may weaken Scale’s appeal to OpenAI and Google.

Andrew Sharp × Ben Thompson

Ben Thompson argues Apple needs new leadership not because Tim Cook failed, but because privacy absolutism, strained developer relations, and China concentration require reversing systems he built successfully.Turning Siri into an API endpoint for ChatGPT, Claude, Gemini, DeepSeek, or another assistant could make the iPhone the ultimate platform play while outsourcing the model arms race.The strategic consequences unfold over five to 10 years, with painful supply-chain diversification and a successor’s authority to change a company that still looks highly successful remaining unresolved.

Andrew Sharp × Ben Thompson

DeepSeek is Moneyball for AI: its $6 million V3 figure covered one final run, while mixture-of-experts and low-level optimization delivered efficiency breakthroughs without surpassing the US frontier.Cheaper reasoning models may manufacture training data and expand aggregate compute demand, preserving opportunities in power, networking, cooling, and inference; Microsoft retains optionality as export controls gamble on a durable US lead despite China’s industrial strengths.