Any hopes that Big Tech might be easing off its massive artificial intelligence spending appear misplaced, as 2026 is shaping up to be another record year for investment across the global technology sector.
Major U.S. technology companies are sharply ramping up capital expenditure. Meta has said it plans to nearly double its spending this year to as much as $135 billion, while Tesla expects to spend more than $20 billion as it pivots from electric vehicles toward robotics and AI-driven automation. Cloud giants are following suit, with Microsoft reporting quarterly capital expenditure of $37.5 billion in the final months of last year, a 66% increase year-on-year. Amazon and Google are also expected to unveil fresh AI investment plans in the coming days.
The enthusiasm is not limited to the United States. Chinese technology companies are escalating their own AI buildouts as competition intensifies both domestically and overseas. ByteDance is preparing capital expenditure of around 160 billion yuan in 2026 to expand AI infrastructure, while Alibaba is considering increasing its three-year AI and cloud investment plan to as much as 480 billion yuan. Tencent is also expected to continue lifting spending this year as it expands AI infrastructure and talent recruitment.
Alibaba has made “cloud + AI + chip” the cornerstone of its strategy and recently unveiled its self-developed high-end AI chip, the Zhenwu 810E, designed for both training and inference. The company has reportedly delivered more than 100,000 units so far, with performance in certain tasks said to be comparable to Nvidia’s H20 chip when computing resources are constrained. The chip is developed by Alibaba’s T-head unit, which the company plans to spin off through a future listing.
Despite the spending boom, investors are growing increasingly uneasy about when returns will materialize. Shares of some major cloud providers have come under pressure following large capital expenditure announcements, and concerns have also surfaced around debt-funded AI expansions by some firms. Still, for chipmakers, 2026 is widely expected to be another strong year.
While data centers remain a major driver of demand, attention is increasingly shifting toward “edge AI” — applications that run on local devices such as smartphones, PCs, vehicles and industrial machines. Industry executives say 2026 could mark a turning point, as AI inference moves closer to users and becomes more cost-effective outside the cloud.
Consumer electronics companies are betting that AI-powered smartphones and PCs will gain real traction this year, with new use cases emerging across productivity, creativity, gaming and enterprise software. PC makers and chip designers see growing momentum as AI workloads diversify beyond centralized infrastructure.
At the same time, physical AI — including autonomous vehicles, robotics, factory automation and humanoid machines — is gaining prominence as a long-term growth engine. Semiconductor firms and design toolmakers are positioning themselves to benefit from AI’s deeper integration into the physical world, arguing that real-world deployment will ultimately require even more specialized chips.
In China, domestic chipmakers are emerging as early beneficiaries of the AI push, supported by national efforts to strengthen semiconductor self-reliance. Several high-profile chip firms have recently gone public, with strong market debuts reflecting investor confidence in continued demand.
For now, industry leaders say the biggest challenge is not a bursting AI bubble, but severe supply constraints. Memory chipmakers report that shortages will persist until at least 2027, forcing suppliers to prioritize server customers over PC and mobile device makers. Some companies have already sold out their 2026 production capacity.
As AI investment surges across cloud infrastructure, edge devices and physical systems, the prevailing concern among chipmakers is how quickly they can scale to meet demand — not whether the spending boom is about to end.
