TSMC and the AI Bottleneck: What Changes for SMEs

The context: why TSMC is at the center of it all

TSMC (Taiwan Semiconductor Manufacturing Company) produces over 90% of the world's most advanced chips. It's not just one supplier among many. It's the critical infrastructure that Nvidia, Apple, AMD and dozens of other players rely on. So when its CEO publicly acknowledges production limits, the entire global tech supply chain has to stop and think.

As reported by The Verge, C.C. Wei made these remarks after the June 2026 shareholders' meeting. His words, "We can only support so much," are not an excuse. They're a warning. TSMC is expanding production capacity in the United States, but the pace of fab construction can't compete with the speed at which AI demand is accelerating.

The problem isn't only about volume, either. It's about quality too: the most advanced production nodes (3nm, 2nm) are the most in demand and the least available. As a result, companies without established supply contracts risk being left out of allocation for months.

The numbers that matter: shortages beyond logic chips

The 2026 semiconductor shortage looks different from the 2021-2022 crisis. Back then, the problem was across the board. Today, it's concentrated in the high-compute components that AI requires.

Still, the impact ripples down the value chain. According to Gartner analysis, the shortage of HBM (High Bandwidth Memory) and NAND Flash is set to last until at least 2028. This is not a temporary flare-up.

Three categories of components, in particular, are under pressure:

• GPUs and AI accelerators: limited allocations, with lead times of more than 12 months for enterprise series.
• High-bandwidth memory (HBM): production concentrated among a few players (SK Hynix, Samsung, Micron), all with full order books.
• NAND Flash: shortages expected for high-speed storage, affecting enterprise SSDs and local inference systems.

On top of that, edge computing chips, often built on mid-range TSMC nodes, are under indirect pressure. Foundries are reallocating capacity to premium customers, reducing availability for industrial and IoT device makers.

Strategic view: what it means for the Italian B2B supply chain

Italian B2B SMEs tend to feel these dynamics six to twelve months late. By the time the shortage becomes visible locally, options have already narrowed. Reading the market early is a real competitive advantage.

Just as with automotive chips in 2021, companies that planned ahead kept operations running. Those that waited suffered production stoppages and lost revenue. The pattern is repeating, but this time the sector involved is AI, which isn't a niche but a cross-cutting driver of digital transformation.

B2B SMEs that are evaluating or have already launched projects in these areas need to consider the impact of the shortage:

• On-premise AI infrastructure: servers with dedicated GPUs, workstations for local inference, high-speed NAS.
• Hardware upgrades for industrial automation: PLCs and embedded systems with advanced-node components.
• Edge computing and industrial IoT: devices that depend on mid-range TSMC chips.
• Video surveillance and AI visual analysis systems: smart cameras with local processing chips.

According to McKinsey, the semiconductor decade is marked by shortage cycles that are increasingly frequent and less predictable. That's why the supply chain for electronic components should be treated as a strategic variable, not an operational detail.

The work still in progress: US fabs aren't enough (yet)

TSMC has invested over $65 billion in building fabs in Arizona. However, production ramp-up takes a long time. An advanced fab needs years to reach full capacity. So the US expansion won't solve the problem in the short term.

Moreover, US fabs are designed to meet the demand of large American customers: Nvidia, Apple, AMD, defense contractors. As a result, the additional capacity is absorbed before it even enters production. European SMEs and their second-tier suppliers remain at the bottom of the allocation priority list.

Even so, the geographic expansion of production is a positive signal for the medium term. Between 2027 and 2028, the added capacity should start normalizing lead times on less advanced nodes. In short, the problem is structural today, but not permanent. The critical window is right now.

Operational implications for anyone planning AI projects in 2026

At SHM Studio, we work every day with Italian SMEs that are integrating AI into their processes. We see firsthand how hardware decisions affect the timelines of digital projects.

Here are the most relevant operational implications every SME should consider:

Buy critical hardware early

If an AI project involves dedicated hardware, plan the purchase at least 6-9 months before the go-live date. If you're setting your 2027 budget, place hardware orders as early as Q3 2026. Waiting for project confirmation before ordering, on the other hand, risks delays that push back your entire roadmap.

Consider cloud-first solutions as a tactical alternative

When hardware isn't available, cloud-based AI solutions are a valid alternative for getting projects started without waiting for components. Platforms like AWS, Azure and Google Cloud offer immediate access to AI computing capacity without relying on the physical supply chain. That said, this choice calls for a careful look at recurring costs and latency for real-time applications.

The AI services from SHM Studio include assessing the best-fit architecture (on-premise, cloud or hybrid) based on your budget, latency requirements and hardware availability. This analysis is especially relevant in a prolonged shortage.

Map your tech vendors' supply chain

SMEs rarely buy directly from TSMC. But their hardware suppliers, such as system integrators, VARs and IT distributors, depend on the same supply chain. It pays to ask your tech vendors explicitly which components are subject to shortages and what the real lead times are, not the nominal ones.

Review IT supply contracts with priority clauses

Some distributors offer preferential allocation programs for customers with multi-year contracts. SMEs with established relationships with hardware suppliers should explore this option. For projects with critical hardware in particular, a priority allocation clause can make the difference between launching on schedule and a six-month delay.

The role of digital strategy in a hardware-scarce market

The semiconductor shortage doesn’t block digital transformation. It slows it down and redirects it. So SMEs that take a strategic approach, instead of reacting to the emergency, can turn the constraint into a competitive advantage.

For example, investing in SEO and digital marketing today doesn’t require dedicated hardware. Likewise, building your online presence, optimizing your Google Ads campaigns or structuring a LinkedIn B2B strategy all deliver results that don’t depend on chip availability.

What’s more, AI-driven web development (chatbot integration, recommendation engines, dynamic personalization) can run on existing cloud infrastructure, with no need to wait for proprietary hardware. That’s why your digital roadmap shouldn’t stop: it should adapt to the context.

Finally, SEO copywriting and content production remain accessible, high-ROI growth levers that are independent of the semiconductor supply chain. At a time when many companies are slowing down because of hardware, those who invest in digital visibility win market positions that are hard to recover later.

Outlook: What to Expect in 2027 and 2028

Industry forecasts point to a gradual normalization of production capacity between the second half of 2027 and 2028. However, AI demand will keep growing faster than capacity expands. As a result, the shortage may ease without ever being fully resolved.

In this scenario, SMEs that have built a diversified hardware supply chain and strong relationships with technology vendors will be better positioned. Likewise, those that have launched AI projects on cloud-first architectures will be able to scale quickly once hardware becomes available again.

To dig deeper into these topics or assess the impact on your company’s digital roadmap, the SHM Studio team is available for a consultation. You can also find regular updates on tech trends relevant to Italian SMEs on the SHM Studio blog.