In the evolving anatomy of the semiconductor industry, the Taiwan Semiconductor Manufacturing Company (TSMC) has become the central nexus through which nearly all advanced AI computation flows. It is not merely a large supplier; it is the representative firm in an ecosystem where scale, process leadership, and packaging capability have converged to produce a concentration that demands careful examination. For Alphabet Inc., whose custom Tensor Processing Units (TPUs) underpin its most ambitious AI services and cloud offerings, understanding the time horizons, substitution possibilities, and structural vulnerabilities of this relationship is a matter of strategic necessity.
The narrative that emerges from recent evidence is one of deepening dependence, stubborn bottlenecks, and emergent diversification—each element unfolding at a different pace. In the short run, capacity is largely fixed, and the scramble for allocation reveals the market’s true scarcities. In the long run, adjustments are underway, but they are gradual, uneven, and freighted with their own complexities. This analysis applies a Marshallian lens to the claims at hand, emphasizing the distinction between temporary frictions and structural rigidities, between apparent equilibrium and the forces that may reshape it.
The Anatomy of Concentration: TSMC’s Unrivaled Moat
The most immediate fact is quantitative: TSMC commands a 73% share of the global foundry market as of the first quarter of 2026, up from 69% a year prior 12. Its revenue growth reflects the ferocity of AI-driven demand—a 30% year-over-year increase in May alone, with a full-year forecast raised above 30% in U.S. dollar terms 3,8,9. Net profit surged 58% to record levels in the first quarter 2,4,8. These numbers are not mere metrics; they are signals of an organic advantage that compounds over time. The firm’s technological frontier—its exclusive grip on 3nm and 2nm processes—makes it the only foundry that major customers, including Google, can realistically use for cutting-edge logic 5,18,20. And critically, TSMC’s 2nm manufacturing capacity remains concentrated entirely within Taiwan, a geographic concentration that transforms a technical triumph into a structural vulnerability 18.
One must be careful to distinguish this dominance from simple market power. The interesting question is not why TSMC is large—it has earned its position through decades of investment and execution—but why its persistence creates specific, time-dependent risks for individual buyers. The concentration is not uniform across all tiers; it is most acute at the leading edge, where the elasticity of substitution is virtually zero. In the short run, Alphabet and its peers face what Marshall would have recognized as a quasi-rent situation: the returns accruing to TSMC’s fixed capacity are high precisely because new capacity cannot be brought online quickly. The peculiar lock-in is reinforced by the Chip-on-Wafer-on-Substrate (CoWoS) advanced packaging technology, which has become the primary bottleneck across the entire AI hardware supply chain 1,6,10,12.
Alphabet’s Deepening Engagement: The Short-Run Scramble
Alphabet’s growing reliance on TSMC is not passive; it is a deliberate strategic escalation. Nomura’s projections indicate that Google’s share of TSMC’s CoWoS capacity will rise from 23% in 2026 to 27% in 2027—a significant claim on a scarce resource 23. This expansion is fueled by both internal demand and the need to serve external AI hyperscalers, most notably Anthropic, to which Google has allocated manufacturing priority 13. The sequence is instructive: after allocating TPU capacity to Anthropic, Google was compelled to return to TSMC and request additional supply—an indication that even a firm of Alphabet’s magnitude cannot simply command more output without facing binding constraints 13.
The short-run rigidity is most visible in Google’s 10th-generation TPU, codenamed “Zebrafish.” Its original design relied on TSMC’s CoWoS, but capacity shortages forced the qualification of Intel’s EMIB-T advanced packaging as a backup 16. At the same time, Samsung is fabricating the memory I/O die for the same chip on its 2nm node in Texas, hinting at a deliberate dual-sourcing architecture that extends beyond the processor die itself 18. Reports further suggest that Google is weighing a split of manufacturing for the 10th-gen TPU between TSMC and Samsung 14. These are not improvisations; they represent what might be called a long-run adjustment beginning to materialize within the short-run planning horizon. The entry of Intel as a packaging alternative is a particularly revealing case. It signals that the industry is actively seeking workarounds to the CoWoS monopoly, and that substitution—though imperfect and costly—is beginning to reshape the equilibrium.
Pricing Power, Margins, and the Crowding-Out Effect
When capacity utilization approaches its absolute limit, the marginal value of an additional unit rises sharply. TSMC is operating its CoWoS lines at maximum 10, and even its ambitious 2027 target of two million wafers may be undercut by substrate- and component-level constraints, potentially resulting in only 1.8 million units 23. Such tightness is not expected to ease before 2027–2028 22, and AMD has been told it cannot obtain additional capacity this year 11. In this environment, pricing power flows naturally to the supplier. TSMC has raised prices by 5–10% on leading-edge nodes of 7nm and below 19. For chip designers like Google, these hikes feed directly into the cost of goods for each TPU, compressing margins precisely when infrastructure investment is scaling upward 21,24.
We must also note the broader allocative effects. The dominance of AI data-center demand is not merely driving up prices for AI accelerators; it is crowding out consumer electronics, causing inventory competition for memory chips among companies such as Apple, Dell, and Nintendo 7,25. The elasticity of substitution across end markets is far from perfect, and the adjustment mechanisms are slow. A Marshallian would observe that the high prices of today are the necessary signals to induce the investment that will, over time, expand capacity and restore a more normal rate of return. But the time required—years, not quarters—means that Alphabet must manage through a prolonged period of elevated input costs.
Geopolitical Tail Risks: A Systemic Vulnerability
The geographic concentration of TSMC’s fabs in Taiwan creates a risk that is qualitatively different from the commercial dependencies discussed above. With over 60% of the world’s advanced logic chips manufactured on a single island, the supply chain’s resilience is tied to a set of political and natural contingencies that no individual firm can diversify away 15. The evidence is stark: a conflict between China and Taiwan could sever the flow of chips overnight 8,10,11, and even a regional earthquake could disrupt CoWoS packaging, rendering massive inventories of high-bandwidth memory instantly stranded 10. Some observers have concluded that this concentration is so extreme that it “cannot be mitigated through stock selection” 8.
From a Marshallian perspective, this is a classical case where the long-run equilibrium may involve a gradual geographical redistribution of the most critical production nodes. The forces are already beginning to act: firms like Alphabet are considering backup foundry strategies and geographically diversified packaging solutions 17,18. But such adjustments are slow, capital-intensive, and subject to their own inertial frictions. The interesting question, therefore, is not whether diversification will occur—the long-run pressures are too powerful to ignore—but at what pace, at what cost, and with what residual risks during the transition.
Strategic Implications for Alphabet: A Balancing of Time Horizons
For Alphabet, the current configuration of the AI chip supply chain presents a strategic problem that must be analyzed across distinct time frames. In the near term, the priority is to secure preferential access to TSMC’s leading-edge nodes and CoWoS packaging. The projected increase to 27% of CoWoS capacity by 2027 suggests that Alphabet is, in fact, deepening its commitment to the very source of its bottleneck 23. This is rational behavior in a world where the short-run elasticity of supply for truly cutting-edge technology is essentially zero; the firm must compete aggressively for scarce capacity to fuel its AI expansion. But this same strategy amplifies the firm’s exposure to the very concentration it seeks to hedge against.
In the medium term, the emergence of credible alternatives—Intel’s EMIB-T as a packaging backup, Samsung’s 2nm foundry for a memory I/O die, and the possibility of a split manufacturing arrangement—provides a path toward greater resilience 14,16,18. These moves do not eliminate dependence; they create an imperfect substitution chain that can blunt the worst effects of a supply shock. They also introduce new management complexity, as Alphabet must now coordinate across multiple fabs, packaging technologies, and supply chains, each with its own yield curves, ramp schedules, and contractual arrangements. The representative firm in this dual-sourced world is a more intricate organism than the single-supplier model it replaces.
Over the longest horizon, the systemic geopolitical risk concentrated in Taiwan will likely drive a more fundamental reshaping of the industry’s geography. Whether through TSMC’s own foreign fabs (which, at least for 2nm, remain exclusively in Taiwan for now) or through the ascent of alternative manufacturing ecosystems, the long-run equilibrium must reflect a lower sensitivity to single-point failures. Alphabet’s role in this transition is not passive; by qualifying new suppliers and packaging technologies, it is helping to bring that equilibrium into existence. Yet the process is characterized by what Marshall would have called “the element of Time”: the gradual diffusion of capabilities that cannot be rushed without severe economic penalty.
The challenge for Alphabet’s leadership is to manage the tension between the short-run imperative of feeding the AI beast with the best available silicon and the long-run imperative of building a supply structure that can withstand the shocks—geopolitical, natural, and commercial—that are inherent in any concentrated system. The claims assembled here suggest that this tension is not yet resolved; it is, rather, the central dynamic of the current phase of the industry’s evolution.