JPMorgan Raises S&P 500 Target to 8,000 Saying AI Spending Is Finally Paying Off

JPMorgan raised its S&P 500 year-end target to 8,000 on August 10, 2026, up from 7,800, citing AI spending finally converting into revenue, and lifted its 2026 EPS forecast to $365 and 2027 to $420. Strategist Dubravko Lakos-Bujas noted cloud backlogs at hyperscalers are converting into recognized revenue, supporting the bull case, though skeptics like Jefferies and Citi remain cautious about capex ROI and potential negative free cash flow.

JPMorgan just raised its S&P 500 target to 8,000 for the second time in two months, telling investors the AI spending boom is finally showing up in real earnings. JPMorgan strategists led by Dubravko Lakos-Bujas raised the bank's year-end target for the S&P 500 to 8,000 on August 10, 2026, up from 7,800 set in June and 7,600 before that. Third hike this year. The new target implies roughly 3% upside from the index's Friday close of 7,757.64. Buried in that number is a bigger claim: the trillions hyperscalers have poured into AI data centers are starting to convert into revenue you can actually see on an income statement, not just a promise on an earnings call. JPMorgan also lifted its S&P 500 earnings-per-share forecasts to $365 for 2026 and $420 for 2027, up from $350 and $390. That's not a small revision. The bank's strategists pointed to a second-quarter earnings season they called strong and broad-based across sectors, and to a specific mechanism behind it: cloud backlogs at the hyperscalers are finally converting into recognized revenue. "As elevated backlogs convert into recognised revenue, cloud growth should remain well supported, helping validate rising AI capex, strengthen order coverage, and further ease ROIC concerns," the strategists wrote, according to Bloomberg's reporting on the note. Translation: the spending is starting to show up as sales, not just as spending. JPMorgan isn't alone. At least seven brokerages now expect the S&P 500 to hit 8,000 by the end of 2026, Bloomberg reported, which tells you this isn't a lone bull making noise. It's become something closer to consensus among the banks that move index targets. Not everyone's convinced Here's the thing. The bull case rests entirely on the idea that capex is converting into revenue fast enough to justify the spending. Plenty of analysts aren't there yet. Jefferies has said Meta "likely remains in the penalty box pending clearer capex ROI," and Citi has forecast that some of the biggest tech spenders could run negative free cash flow between 2027 and 2028 if the buildout keeps outpacing sales. The gap between capex growth and revenue growth at the hyperscalers is now running around 46 percentage points, wider than the roughly 32-point gap seen during the telecom overbuild of the early 2000s. That comparison should give you pause. Nobody is saying this is 2001 again. But the mechanics, spend now on infrastructure, promise the revenue follows, are similar enough that skeptics keep bringing it up. There's also a wrinkle in JPMorgan's own recent history that's worth sitting with. When the bank lifted its target to 7,800 back in June, the same team warned of a real risk of a flash crash in speculative, secondary and tertiary AI stocks, citing extreme crowding in those trades. Their recommendation at the time was a barbell: hold direct AI infrastructure winners on one side and low-volatility defensive names on the other, because the momentum names had gotten too crowded for comfort. JPMorgan hasn't walked that warning back. It's simply layering a more bullish earnings story on top of it. So which is it? Both, probably. JPMorgan's argument narrows to a specific group: the hyperscalers actually selling AI compute and cloud capacity, the biggest and most direct beneficiaries, are starting to post the numbers that justify the spending. Not every AI-adjacent stock earns that pass. That's the split. The froth the bank flagged back in June sits somewhere else entirely: the smaller, more speculative names riding the AI theme without the revenue to back it up. For readers trying to figure out whether the AI trade is still investable, that distinction matters more than the headline target. A bank putting a number on the S&P 500 is a forecast, not a fact. Worth remembering. But JPMorgan is one of the first major banks to attach hard figures, real EPS revisions, a real backlog-to-revenue mechanism, to the argument that AI capex is starting to pay for itself. Whether the next two quarters of hyperscaler earnings back that up is the actual test. The target of 8,000 is just JPMorgan's bet on the answer. Also read: Twilio Stock Just Had Its Biggest One Day Jump in Years on an AI Beat https://startupfortune.com/twilio-stock-just-had-its-biggest-one-day-jump-in-years-on-an-ai-beat/ • TSMC's July sales jumped 45% as AI chip demand keeps outrunning tariffs https://startupfortune.com/tsmcs-july-sales-jumped-45-as-ai-chip-demand-keeps-outrunning-tariffs/ • Crypto Just Lost BitMEX, BitMart, Movement Labs and Storj in One Week https://startupfortune.com/crypto-just-lost-bitmex-bitmart-movement-labs-and-storj-in-one-week/