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Semiconductors

ai compute

Sector thesis

Semiconductors are the tiny chips that power everything from your phone to data centers. Think of them as the raw material for the digital world. Right now, the sector is riding a structural wave: AI compute requires vastly more processing power than traditional computing, and that demand isn't a temporary fad—it's baked into how companies will operate for the next decade. Every major tech company is building AI infrastructure, and that infrastructure runs on chips. Within semiconductors, there are really three distinct businesses. First, chip *design*—companies that create the blueprints for specialized AI processors or general-purpose chips but don't manufacture them. Second, chip *manufacturing*—the capital-intensive factories that actually produce chips at scale. Third, *equipment makers*—companies that sell the machinery used to build chips. Each has different economics and risks. The biggest risk for retail investors is cyclicality. Chip demand swings wildly. When companies over-invest in capacity, prices crash and profits evaporate. You can lose 30-50% in a downturn. Second, competition is intense and global—geopolitics matter. Trade restrictions or supply-chain disruptions can upend valuations overnight. Third, the barrier to entry is enormous; only a handful of companies can afford to build or design cutting-edge chips, so you're betting on a small club. For a typical portfolio, watch the sector as a leveraged play on AI infrastructure spending. If you're bullish on AI long-term, semiconductors amplify that thesis. But don't treat it as stable income—it's cyclical and volatile. Track quarterly earnings for signs of demand weakness, and monitor geopolitical headlines. This sector rewards patience and stomach for swings, not day-trading.

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Updated July 1, 2026. Not investment advice.