The AI hardware trade is carrying market optimism into the second half of 2026, but the S&P 500 hasn't crossed 7,600 yet. For founders, the real signal is narrower: capital is favoring companies tied to chips, memory, data centers and credible exit paths.
You wouldn't have guessed this was where the year was heading. The S&P 500 was still below the neat 7,600 milestone in late June, so the original version overstated the tape. But the direction of travel is real. Investopedia reported on June 24 that JPMorgan had lifted its year-end S&P 500 target to 7,800, while BCA Research raised its own target to 8,100. That isn't a sleepy market. It's a market being pulled forward by earnings, AI spending and a renewed willingness to believe the infrastructure bill will keep getting paid.
The important point is not that every growth company suddenly has a clean path to money. It doesn't. The market has become more selective, not less. The strongest bid is going to companies close to the physical machinery of AI: memory, storage, networking, power, data centers and the chips that sit inside them. If your company can honestly point to that stack, investors will listen. If your AI story is a slide pasted onto last year's software business, they probably won't.
The Guardian's June 29 analysis put hard numbers underneath the trade. Sandisk was up 780% for the year, Micron was up 296% and Western Digital was up 240%, according to data from the London Stock Exchange Group cited by the paper. In South Korea, the Kospi had risen 123%, helped by Samsung's 169% gain and SK Hynix's 303% jump. Those are not normal moves for companies selling into a mature electronics cycle. They tell you something simple: investors believe memory has become one of the scarce inputs in AI, not a commodity line item you buy when prices are convenient.
Micron is the cleanest example. The Times reported that the Boise company said its HBM production was sold out through 2026, while Tom's Hardware separately reported that Micron had signed long-term supply agreements worth about $100 billion from 2026 to 2030. You don't need to romanticize that. Customers are locking up memory because they don't trust supply to be there later. That is what pricing power looks like when it leaves the pitch deck and shows up in contracts.
The broader semiconductor forecast has moved in the same direction. The Semiconductor Industry Association, using World Semiconductor Trade Statistics data, projected global chip sales of roughly $1 trillion in 2026 after $791.7 billion in 2025, as Tom's Hardware reported in February. Kiplinger cited a Gartner forecast in May that put 2026 global chip sales above $1.3 trillion, with AI-related chips accounting for about 30% of the total. Forecasts vary, but the shape is the same: AI capex is no longer a narrow Nvidia story. It is spreading across memory, storage, foundries, networking and the electrical systems needed to run the whole thing.
Here's the part that matters most if you're a founder. Public market recoveries don't stay neatly inside public markets. They change what late-stage investors are willing to underwrite, and they change how bankers talk about exits. Barron's reported earlier this year that Renaissance Capital expected 200 to 230 companies to go public in 2026, raising between $40 billion and $60 billion. MoneyWeek, citing PwC, said the first quarter delivered 22 U.S. IPOs raising more than $9.4 billion, the strongest start since 2021.
That window is not evenly open. The Wall Street Journal reported in June that U.S. IPOs raised $9.9 billion across 35 deals in the first quarter, according to Renaissance Capital, with private equity and venture-backed companies helping push the median deal size to $229 million, the highest since 2009. It also noted a backlog of nearly 33,000 unsold portfolio companies. That is a lot of pressure waiting for a market that can absorb exits. A stronger S&P 500 helps. A chip-led rally helps more if your business belongs in that conversation.
Don't confuse a rising index with permission to price like every buyer is desperate. Frankly, that is how founders lose a real window. The AI supply chain is strong because Microsoft, Alphabet, Amazon, Meta and the rest are still spending heavily on data centers, chips and power. But markets can turn quickly if a hyperscaler trims capex, export controls tighten around advanced chips, or memory prices start to look too hot. A good quarter doesn't repeal risk.
The practical call is plain. If you're raising, be specific about your exposure to the infrastructure cycle. Name the workload, the customer budget, the data center constraint, the chip dependency, the storage demand. Don't tell investors you're an AI company and hope the label does the work. The money in this market is following concrete capacity, not vague ambition.
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