Sharp Tech · · 15 min
AWS, Apple and the Challenge of Pivoting During the Good Times | Sharp Tech with Ben Thompson
TL;DR
- The AWS bear case is not that cheap AI infrastructure fails; it is that agents make capability, not cost, the bottleneck. Andrew Sharp frames Amazon’s base case as treating AI like storage or compute—“just another primitive.” Ben Thompson says job-replacing agents instead ask whether AI can “actually do it well,” a contest favoring Nvidia/OpenAI or Google’s integrated stack over cheaper Trainium and open-source models.
- AWS’s unfilled demand may signal strategic weakness rather than pure upside. Thompson says backlog customers want Nvidia, not Trainium; Amazon’s Nvidia purchasing share is far lower than its cloud share. He suspects Nvidia may prioritize Microsoft and “prop up the CoreWeaves of the world” rather than a would-be competitor.
- The plausible degradation path is AWS becoming Azure, not Nokia. Existing workloads remain locked in, but startups choose Microsoft/OpenAI or Google while Amazon’s goal is to carry existing customers into AI because “their data’s already here”—“a total role reversal” from cloud seven or eight years ago. Betting on inertia has served Microsoft well, but that does not guarantee Amazon’s strategy will.
- Amazon and Apple may be trapped by a winner’s curse in which past strengths become arguments against changing course. Sharp notes Microsoft could pivot under Satya Nadella only after years of Ballmer-era humiliation; with former AWS chief Andy Jassy maintaining the same playbook, culture matters as much as technical options.
- Apple’s strong quarters do not resolve its medium- and long-term AI risk because current success makes sacrifice harder. Thompson flags tariff pull-forward and China’s government-subsidy pricing, while arguing Apple will change nothing before leadership changes; anyone calling trouble may “look stupid for the next 5 years at least.”
- The counter-case remains real: Apple could be the Sony among rivals that “spent themselves into oblivion,” while these incumbents’ inertia strategies may work. Both speakers preserve the possibility that they “may end up being right”; for Apple, the unresolved question is whether it needs to adjust or merely “execute better.”
Digest · the substance, structured for research
1. Agents make capability—not cost—the bottleneck
- Sharp lays out Amazon’s base case: AWS customers will consume AI like storage or compute, “just another primitive.” But that assumes AI remains a feature inside the current paradigm—the paradigm Amazon already knows how to monetize.
- Agents imply “job replacement,” where the constraint is not price but whether AI can “actually do it well.” Thompson says Amazon is therefore optimizing cheap functionality before that functionality is capable enough.
- Thompson questions whether capability will emerge on Amazon’s cheaper, “not-as-good” Trainium chips running open-source models, given his view that Amazon’s models “stink.” He expects it more readily on Nvidia with OpenAI, or on Google models tuned to Google’s chips. Google can be cheaper and better, and is integrated from the start; Amazon is “sort of hoping it comes to them.”
2. Nvidia scarcity exposes AWS’s strategic conflict
- AWS’s disappointing cloud growth is defended as capacity-constrained demand, but Thompson says the backlog wants Nvidia, not Trainium. Amazon’s share of Nvidia purchases is much lower than its cloud share, partly because it favors its own silicon.
- Thompson suspects Nvidia has little reason to prioritize a would-be competitor over Microsoft or to “prop up the CoreWeaves of the world.” Nvidia still sells to Amazon and Google, but scarcity leaves AWS waiting and hoping supply eventually becomes sufficient.
3. AWS risks becoming the old Azure
- The downside analogy is Windows, not Nokia: AWS can retain locked-in workloads while becoming less relevant and slower-growing. New companies may choose Microsoft/OpenAI or Google; Amazon’s goal is to carry existing customers into AI because “their data’s already here.”
- Thompson calls that “a total role reversal” from cloud seven or eight years ago. Even Anthropic on Amazon offers performance but is “very expensive from an A100 perspective.”
- Sharp observes that betting on inertia has served Microsoft very well—“Could be worse”—but Amazon is betting that its installed base will carry it into the next paradigm.
4. Winner’s curse is strategy hardened into culture
- Sharp calls the dynamic “half strategy and half psychology”: Apple and Amazon assume prior strengths will persist, while unfamiliar reinvention is costly and may exceed their competence. Microsoft needed years of Ballmer-era humiliation before Satya Nadella could pivot.
- Unlike that post-Ballmer break, Amazon’s CEO Andy Jassy is the longtime former head of AWS, making it “the same guy doing the same strategy.” Thompson’s definition: culture is “the remnants of good decisions that become part of the company’s psyche,” challenged only after real obstacles.
- Thompson points to the Siri episode as evidence: he says Apple is still trying to “screw John Gruber” for calling the result embarrassing and bad—behavior that does not sound humble or eager to learn.
5. Apple will execute harder before it adjusts
- Apple’s earnings-call message, to Thompson, was “We’re not changing anything”: Apple Intelligence had the right idea and merely needs better execution. His NBA analogy—“Do we adjust or do we execute better?”—led Sharp to revisit Thompson’s withering comparison of Tim Cook to Mike Budenholzer after Game 1.
- Sharp adds that customers are not changing phones because of Apple Intelligence. Thompson notes the quarters are still huge, but some sales reflect tariff pull-forward and China’s government-subsidy pricing, so they may not recur.
- The counter-case stays open: Apple might be “the Sony amidst a bunch of different companies that spent themselves into oblivion,” and both incumbents “may end up being right.” Yet Thompson sees no strategic change before Apple changes leadership; a medium-term bear could “look stupid for the next 5 years at least.”
- Thompson says Intel is the apt comparison if Apple eventually runs into trouble: dominance can persist quarter to quarter and year to year while the long-term deterioration remains hard to see. Sharp’s personal counterpoint is that worsening software has made Samsung and Android newly thinkable after roughly a decade—except for “those sweet, sweet blue bubbles.”