Stratechery

Discussion of why AI is driving a semiconductor surge and how GPUs became central to modern models. Exploration of training scale needs like HBM and chip-to-chip networking. A breakdown of inference stages and the memory versus speed tradeoffs for agentic versus answer-style workloads. Look at wafer-scale SRAM designs, disaggregated memory trends, and how different architectures reshape market opportunities.

Amazon’s latest logistics move sparks a bigger look at how it turns internal tools into massive businesses. The conversation explores cloud cost advantages, why AI training once favored rivals, and how inference may swing momentum back. It also touches on Bedrock, Anthropic, satellites, drones, and long-term infrastructure bets.

A look at why the timing of Tim Cook's retirement matters for Apple's long arc. Discussion of the Cook Doctrine and how operational excellence and product decisions reshaped the company. Examination of services as a profit engine and the tradeoffs with developer relations. Analysis of China dependence and the strategic risks around AI choices and future leadership timing.

Discussion of aggregation theory and how compute shifts economics from marginal cost to opportunity cost. Examination of real-world GPU allocation decisions at major cloud providers. Exploration of competing narratives around advanced AI systems, access limits, and risks from model distillation. Contrast between companies prioritizing consumers versus controlling compute supply.

A 50-year sweep of how tight hardware-software integration shaped product wins and competitive strategy. Stories range from the Apple II and Mac design revival to iPod/iTunes expanding reach. The talk contrasts integrated rivals and modular PC models, explores AI partnerships and Siri’s evolution, and considers whether AI hardware and services could challenge long-term integration advantages.

A tight tour of three LLM inflection points reshaping AI and compute demand. Discussion of models that self-evaluate and multi-step agents that verify work without humans. Exploration of who will run agents and why enterprises will pay for AI productivity. Analysis of where profits may land, and how big tech integration strategies differ.

A discussion about whether private AI companies should block military uses and who gets to decide national defense policy. Debate over government power, export controls and supply chain designations that affect cloud providers. Tension between corporate principles on surveillance and autonomous weapons and the realities of geopolitics and democratic oversight.

A tour of computing from mainframes and thin terminals to thick mobile devices and browsers acting like operating systems. A look at chat and AI agents making devices less important as cloud compute and memory centralize. Discussion of memory shortages, supply-chain shifts toward AI-grade hardware, and how invisible agents could reshape user interfaces and business workflows.

A tour of which tech giants felt most threatened by the AI era and how that fear shifted over time. A close look at Microsoft's bets: Azure GPU strategy, OpenAI ties, Copilots and the per-seat licensing risk. Discussion of how AI-written code reshapes software economics and why SaaS vendors may gain or feel pressure. Consideration of GPU scarcity, capacity allocation, and what survival requires.

Discussion centers on Taiwan and TSMC as pivotal strategic and economic chokepoints for AI hardware. National-security angles of chip exports and why China might target manufacturing capacity come up. The conversation covers TSMC’s capacity limits, hyperscalers’ unmet AI demand, and how competition or investment choices shape future supply and risk.