Recently, I’ve been looking into the telecommunications industry in 2026 and realized that it has truly transformed. It’s no longer the traditional impression of pulling cables or installing Wi-Fi devices; it has now evolved into a critical infrastructure supporting the entire AI era.

American telecom giants control not just equipment but the very lifeline of the entire AI transmission architecture. As GPU computing demands explode, traditional copper wire transmission has become a system bottleneck, and optical communication technology has completely changed the game. At the same time, the U.S. government’s $42.5 billion BEAD program has fully kicked off this year, which is definitely a tangible positive for domestic and international telecom companies.

I’ve noticed that the industry chain’s division of labor is becoming increasingly detailed. Upstream includes silicon photonic materials and telecom chips, which are the most technically demanding parts; Taiwan’s United Microelectronics Corporation (UMC) is well-positioned here. The midstream involves equipment manufacturing like network switches and Wi-Fi 7 routers, with companies like ZTE, Accton, and Wistron being representatives. Downstream are cloud service providers, telecom operators, and government projects; tech giants like Amazon and Google are now the biggest buyers of telecom equipment.

Looking at the American telecom giants, Broadcom controls the chip lifeline, Arista performs exceptionally well in AI training network solutions, Corning benefits from U.S. manufacturing policies and almost monopolizes the fiber optic market, and Lumentum has made many breakthroughs in optical components. On the Taiwan stock market side, ZTE leads in the 800G switch market, United Microelectronics’ silicon photonics technology has a deep moat, Accton offers the most diverse product lines, and Wistron is steadily growing in optical transceiver modules.

However, investing in telecom stocks also requires understanding several risks. Government project funding is slow and strictly reviewed; companies’ performance is recognized in batches rather than a one-time surge, which can cause stock prices to retreat prematurely. Technological upgrades are also a tough test—second-tier manufacturers that can’t meet the CPO threshold may be marginalized. Inventory cycles are another concern—if giants like Amazon and Google accumulate inventory, telecom companies will face de-stocking pressures.

Additionally, valuation issues should be watched carefully. Because of the “AI neural network” label, many telecom stocks’ P/E ratios have already hit historical highs; even a slight revenue growth shortfall can lead to significant corrections. Geopolitical risks are also present—securing BEAD projects often requires overseas manufacturing, adding extra costs and tax risks.

My personal view is that in 2026, telecom stocks will indeed be driven by AI transmission and U.S. infrastructure as dual engines, but the focus should be on leading companies with high technical barriers—avoid chasing stocks that only have themes without solid fundamentals. At the same time, closely monitor project funding progress and inventory changes to avoid earning index gains but losing on price differences. American telecom giants and Taiwanese telecom companies each have their advantages in this wave; choosing the right targets is key to profitability.