TSMC and the AI bottleneck: what changes for SMEs

Context: Why TSMC is at the center of everything

TSMC — Taiwan Semiconductor Manufacturing Company — manufactures over 90% of the world’s most advanced chips. It is not just another supplier. It is the critical infrastructure upon which Nvidia, Apple, AMD, and dozens of other players rely. Therefore, when its CEO publicly declares production constraints, the entire global technology supply chain must pause to reflect.

According to reports by The Verge, C.C. Wei made these statements after the June 2026 shareholder meeting. His words—«We can only support so much»—are not an excuse. They are a warning. Indeed, TSMC is expanding its manufacturing capacity in the United States, but the pace of fab construction cannot keep up with the speed at which AI demand is accelerating.

Furthermore, the problem is not only quantitative. It is also qualitative: the most advanced manufacturing nodes (3nm, 2nm) are the most in-demand and least available. As a result, those without established supply contracts risk being excluded from allocation for months.

The numbers that count: shortage beyond logic chips

The semiconductor shortage in 2026 differs in nature from the crisis of 2021–2022. Back then, the problem was widespread. Today, it is concentrated on the high-computational-density components required by AI.

However, the impact propagates down the value chain. According to analyses by Gartner, the shortage of HBM (High Bandwidth Memory) and NAND Flash is expected to continue at least until 2028. Therefore, this is not a temporary spike.

Specifically, three categories of components are under pressure:

• GPUs and AI acceleratorslimited allocations, delivery times over 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 FlashShortage expected for high-speed storage, impacting enterprise SSDs and local inference systems.

In addition to this, chips for edge computing—often based on mid-range TSMC nodes—are experiencing indirect pressure. This is because foundries are reallocating capacity to premium customers, reducing availability for manufacturers of industrial and IoT devices.

Strategic Reading: What it means for the Italian B2B supply chain

Italian B2B SMEs tend to perceive these dynamics with a six-to-twelve-month delay. When shortages become visible locally, options have already been reduced. Therefore, anticipating market trends is a concrete competitive advantage.

Similarly to what happened in 2021 with automotive chips, companies that had planned ahead maintained operational continuity. Those that waited experienced production stoppages and revenue losses. Thus, the pattern repeats itself—but this time the sector involved is AI, which is not a niche but a cross-cutting driver of digital transformation.

In particular, B2B SMEs that are considering or have already started projects in these areas must consider the impact of the shortage:

• On-premise AI infrastructureDedicated GPU servers, workstations for local inference, high-speed NAS.
• Hardware updates for industrial automationPLC and embedded systems with advanced node components.
• Edge computing and Industrial IoTdevices that rely on mid-range TSMC chips.
• Video surveillance and AI visual analysis systemsSmart cameras with local processing chips.

According to McKinsey, the decade of semiconductors is characterized by increasingly frequent and less predictable shortage cycles. Therefore, the electronic component supply chain must be treated as a strategic variable, not an operational detail.

The construction site is still open: U.S. FABs are not enough (yet)

TSMC has invested over $65 billion in building fabs in Arizona. However, the production ramp-up times are long. An advanced fab requires years to reach full capacity. Therefore, the American expansion does not solve the problem in the short term.

Furthermore, the US fabs are designed to meet the demand of large American customers—Nvidia, Apple, AMD, and defense contractors. Consequently, the additional capacity is absorbed even before it comes into production. European SMEs and their second-tier suppliers remain at the bottom of the allocation priority list.

Despite this, the geographic expansion of production is a positive sign for the medium term. Between 2027 and 2028, additional capacity should begin to normalize delivery times for less advanced nodes. In summary, the problem is structural today, but not permanent. The critical window is the current one.

Operational implications for those planning AI projects in 2026

We of SHM Studio We work daily with Italian SMEs that are integrating AI into their processes. Therefore, we directly observe how hardware decisions influence the implementation timelines of digital projects.

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

Anticipate critical hardware purchases

If an AI project requires dedicated hardware, the purchase must be planned at least 6-9 months in advance of the go-live date. Therefore, those defining the 2027 budget must place hardware orders as early as the third quarter of 2026. Conversely, waiting for project confirmation before ordering means risking delays that will shift the entire roadmap.

Evaluate cloud-first solutions as a tactical alternative

In the absence of available hardware, cloud-based AI solutions represent a valid alternative for starting projects without waiting for component availability. Indeed, platforms like AWS, Azure, and Google Cloud offer immediate access to AI computational power without depending on the physical supply chain. However, this choice implies careful consideration of recurring costs and latency for real-time applications.

I SHM Studio AI Services include the evaluation of the most suitable architecture – on-premise, cloud, or hybrid – based on budget, latency requirements, and hardware availability. This analysis is particularly relevant in a context of prolonged shortage.

Map the technology supplier supply chain

SMEs rarely purchase directly from TSMC. However, their hardware suppliers—system integrators, VARs, and IT distributors—rely on the same supply chain. As a result, it is helpful to explicitly ask technology suppliers which components are in short supply and what the actual delivery times are, rather than the stated ones.

Review IT supply contracts with priority clauses

Some distributors offer preferential allocation programs for clients with multi-year contracts. Therefore, SMEs that have established relationships with hardware suppliers should explore this option. In particular, for projects with critical hardware, a priority allocation clause can make the difference between a timely launch and a six-month delay.

The Role of Digital Strategy in a Context of Hardware Scarcity

The semiconductor shortage isn't stopping digital transformation. It's slowing it down and redirecting it. Therefore, SMEs that adopt a strategic approach — instead of reacting to the emergency — can turn the constraint into a competitive advantage.

For example, investing today in SEO e digital marketing does not require dedicated hardware. Similarly, developing an online presence, optimizing Google Ads campaigns to structure a strategy LinkedIn B2B these are activities that produce results independent of chip availability.

Furthermore, the web development AI-oriented — integration of chatbots, recommendation engines, dynamic personalization — can be implemented on existing cloud infrastructures without waiting for proprietary hardware. Therefore, the digital roadmap must not stop: it must adapt to the context.

Finally, the SEO copywriting And content production remain accessible growth levers with a high ROI, independent of the semiconductor supply chain. At a time when many companies are slowing down for hardware reasons, those who invest in digital visibility gain market positions that are difficult to recover later.

Outlook: what to expect between 2027 and 2028

Industry forecasts indicate that production capacity will gradually return to normal between the second half of 2027 and 2028. However, demand for AI will continue to grow at a faster rate than capacity expansion. As a result, the shortage may ease but never be completely resolved.

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

To delve deeper into these topics or evaluate the impact on your company's digital roadmap, the team SHM Studio is available for consultation. Furthermore, on the SHM Studio Blog Updates on technological dynamics relevant to Italian SMEs are published regularly.