US Stock Market today: S&P 500, Nasdaq and Dow Jones forecast after AI selloff

US stocks ended October 30, 2026, with their sharpest technology-led selloff in months, as disappointing corporate earnings and mounting concerns about artificial intelligence investment costs prompted investors to reassess Wall Street valuations.

The Nasdaq Composite dropped 2.86% to 25,437, its worst daily performance since June. The S&P 500 declined 1.82% to 7,580, while the Dow Jones Industrial Average lost 572.25 points, or 1.09%, closing at 51,770.31.

Despite the selloff, major investment banks remain divided over the outlook for US equities. Goldman Sachs, Morgan Stanley and J.P. Morgan maintain year-end S&P 500 targets of 8,000, while Citigroup and UBS project 8,100. Bank of America takes a more cautious position, forecasting 7,400.

• US stocks fell sharply on October 30, with the Nasdaq losing 2.86%, S&P 500 declining 1.82% and Dow Jones dropping 1.09% amid concerns over AI spending.
• Wall Street’s 2026 S&P 500 forecasts range from 7,400 at Bank of America to 8,100 at Citi and UBS. Morgan Stanley warns of possible short-term downside to 7,100–7,200.
• S&P 500 Q3 earnings rose an estimated 30.2%, with 82% of companies beating expectations. However, elevated valuations, margin debt and AI financing costs threaten further volatility.

The difference reflects a growing debate over whether AI-related earnings growth can continue supporting elevated stock prices as technology companies increase borrowing and infrastructure spending.

Wall Street investment banks’ S&P 500 forecasts for 2026

According to a Reuters compilation of investment bank forecasts, published October 6, Wall Street’s year-end targets span 7,400 to 8,100 points.

The following comparison measures those targets against the S&P 500’s October 30 closing level of 7,580.07.

These are previously published institutional forecasts, not revised price targets issued in response to Friday’s selloff.

The concentration of forecasts around 8,000 suggests that several large banks continue to expect positive returns through December, although their outlooks depend on corporate earnings remaining strong and financial conditions stabilizing.

Morgan Stanley’s latest research illustrates why a bullish year-end forecast does not necessarily imply an immediate market recovery.

Morgan Stanley forecasts another correction before an S&P 500 recovery

Morgan Stanley chief US equity strategist Mike Wilson warned on October 26 that the market’s correction might require another decline before establishing a sustainable recovery.

Wilson identified 7,100-7,200 as a potential support range for the S&P 500. From the October 30 close, that implies additional downside of approximately 5-6.3%.

Nevertheless, Morgan Stanley continues to forecast an index level of 8,000 by year-end.

Wilson described the current market weakness as a transition within the economic cycle rather than clear evidence that the broader bull market has ended.

His analysis identifies three developments that could help stabilize equities:

• A reduction in uncertainty surrounding the financing of AI infrastructure and expected returns on investment.
• Greater political clarity following the November 3 US midterm elections.
• An improvement in financial conditions after higher interest rates, energy prices and capital demand have tightened liquidity.

In his October 26 market outlook, Wilson also projected a possible additional 10-15% decline in semiconductor stocks through mid-November.

The bank’s assessment highlights an important distinction: even if earnings support higher index levels over the medium term, financing pressures and investor positioning could produce further losses first.

Goldman Sachs forecasts S&P 500 at 8,700 over 12 months

Goldman Sachs remains among the more constructive investment banks.

Chief US equity strategist Ben Snider reaffirmed the bank’s 8,000 year-end S&P 500 target in October. Goldman Sachs Research also projects the index reaching 8,700 over a 12-month horizon, equivalent to approximately 14.8% upside from the October 30 close.

The bank expects corporate earnings, rather than further expansion in valuation multiples, to drive future gains.

Its September research projected S&P 500 earnings per share of $415 in 2027 and $460 in 2028.

However, Goldman’s analysis also identifies a potential weakness in the earnings outlook: an unusually large share of corporate profit growth depends on continued AI infrastructure investment.

According to Goldman Sachs Research, AI-related investment accounts for nearly half of S&P 500 earnings growth in 2026.

The bank estimates that major US hyperscalers will spend approximately $800 bn on capital expenditures this year, 94% more than in 2025. Its projections rise to $1.2 trillion in 2027 and $1.4 tn in 2028.

That creates substantial earnings sensitivity to future investment decisions.

Goldman estimates that a $250 bn difference in expected hyperscaler spending during 2027 could change S&P 500 earnings growth by approximately six percentage points.

The implications extend beyond technology companies. Semiconductor manufacturers, equipment suppliers, utilities and industrial businesses have all benefited from the infrastructure expansion.

If AI investment slows materially, earnings expectations across several sectors could weaken simultaneously.

Goldman also warns that higher depreciation costs and the eventual normalization of semiconductor profit margins could reduce the contribution from AI infrastructure spending.

The bank expects earnings growth to moderate, although it does not currently forecast a collapse in corporate profitability.

J.P. Morgan expects earnings to support higher stock prices

J.P. Morgan raised its year-end S&P 500 target to 8,000 in August, citing strong corporate earnings and improving visibility into AI-related revenue. The bank increased its earnings-per-share projections to $365 for 2026 and $420 for 2027.

Its investment thesis depends partly on large technology companies converting substantial cloud computing order backlogs into recognized revenue.

That would provide stronger evidence that investment in data centers, processors and related infrastructure can generate satisfactory financial returns.

However, J.P. Morgan retained a forward valuation assumption of approximately 20 times earnings, acknowledging pressure from elevated interest rates, geopolitical uncertainty and substantial new debt and equity issuance.

This distinction has become particularly relevant after several technology companies reported negative free cash flow despite maintaining strong revenue growth.

For investors, the question is increasingly whether the pace of earnings expansion can justify the capital required to produce it.

Citigroup and RBC Capital Markets turn more cautious

Not all investment banks are responding to the recent correction by increasing their exposure to US equities.

Citigroup withdrew its overweight recommendation on US stocks on October 13 and closed a long position in the equal-weighted S&P 500.

The decision followed warnings from the bank’s proprietary sentiment framework, which monitors investor positioning, optimism, liquidity, leverage and financial stress.

Although Citi’s published year-end index target remained at 8,100 in the October 6 Reuters survey, its subsequent tactical positioning became more defensive. The bank’s warning was directed at increasingly stretched investor sentiment rather than an outright prediction of a bear market.

RBC Capital Markets made a similar adjustment to its sector positioning. On October 14, RBC downgraded technology from overweight to market weight while upgrading healthcare to overweight.

Lori Calvasina, RBC’s head of US equity strategy, cited technology valuations, moderating semiconductor earnings revisions and slowing investment fund inflows.

These changes suggest that some institutional investors still see opportunities in US equities but increasingly favor sectors with more attractive valuations and lower dependence on AI capital spending.

Strong Q3 earnings conceal a weaker earnings-surprise picture

The October selloff has occurred despite unusually strong reported corporate profits. According to FactSet’s October 30 earnings update, 60% of S&P 500 companies have reported third-quarter results. Among those companies, 82% exceeded analysts’ earnings-per-share estimates.

However, the average earnings surprise was only 1.9%, considerably below the five-year average of 7.5%.

This difference matters because investors had already priced in substantial earnings growth. Companies can report rising profits and still disappoint if they fail to exceed unusually optimistic forecasts.

FactSet estimates that blended S&P 500 earnings increased 30.2% year over year in the third quarter, while revenue rose 13.4%. For the full year, analysts expect earnings growth of 32.9%. The forward 12-month price-to-earnings ratio stands at 18.7, below its five-year average of 19.8.

On that measure, the market appears considerably less expensive than during earlier phases of the AI rally. Yet other valuation indicators present a different picture.

Shiller CAPE ratio and margin debt signal elevated market risks

The cyclically adjusted price-to-earnings ratio developed by economist Robert Shiller reached approximately 40.7 on October 29. Its historical average is about 17.8.

Unlike forward P/E, the CAPE ratio compares equity valuations with inflation-adjusted earnings averaged over the preceding decade.

The difference between today’s relatively moderate forward earnings multiple and historically elevated CAPE ratio reflects the exceptional growth currently embedded in corporate earnings. If AI-related profits continue expanding, forward valuations may remain supportable. If earnings normalize faster than analysts expect, current stock prices could prove considerably more expensive than they appear.

US margin debt reached approximately $1.48 tn in September, according to FINRA data cited in market research.

Higher borrowing against investment portfolios can magnify market declines when falling prices trigger margin calls and forced selling.

Neither the CAPE ratio nor margin debt provides a reliable forecast of when a correction will occur. Together, however, they suggest that the market could remain unusually sensitive to negative earnings surprises, higher bond yields and tighter financing conditions.

Why technology stocks plunged on October 30

Friday’s selloff reflected growing doubts about how quickly AI investments will translate into positive cash flow.

Intel shares dropped approximately 28.6% following disappointing results and a weak outlook. AMD declined 10.9%, Nvidia lost 4.2%, and the Philadelphia Semiconductor Index fell 7.2%.

Amazon also faced selling pressure after its quarterly results raised concerns about AI-related capital expenditure and cash generation. The decline extended to companies supplying the infrastructure behind AI expansion.

CoreWeave and other heavily financed cloud infrastructure businesses have faced increasing scrutiny over borrowing costs and their dependence on capital markets.

The problem is not necessarily insufficient demand for AI services. Rather, investors are questioning whether the industry’s expected revenue growth will arrive quickly enough to justify the scale of infrastructure investment.

At the same time, energy and defensive stocks demonstrated relative resilience. ExxonMobil gained approximately 2.2% and Chevron advanced 2.8% after reporting stronger profits supported by elevated refining margins.

The divergence points to a rotation in investor preferences rather than a uniform withdrawal from the entire US equity market.

Stock market forecast for November and the rest of 2026

Wall Street’s outlook now depends on three competing scenarios.

Bearish scenario: S&P 500 falls toward 7,100-7,200

Morgan Stanley’s potential support range provides a reference point for further short-term weakness.

Such a move could develop if borrowing costs rise, AI infrastructure companies experience additional financing pressure, or upcoming earnings reports fail to meet expectations.

Higher oil prices and persistent inflation could also prevent monetary policy from providing near-term support.

Base scenario: S&P 500 recovers toward 8,000

A recovery toward 8,000 would represent approximately 5.5% upside from the October 30 closing level.

This outcome aligns with the published year-end forecasts from Goldman Sachs, Morgan Stanley and J.P. Morgan.

It would likely require sustained earnings growth, improving investor confidence in AI returns and a stabilization of financial conditions following the midterm elections.

Bullish scenario: S&P 500 reaches 8,100 or higher

UBS and Citigroup’s published year-end targets imply approximately 6.9% upside.

A stronger recovery would depend on large technology companies demonstrating that AI-related investments can support higher operating profits and cash flow.

Goldman Sachs’ longer-term projection of 8,700 shows how the outlook could improve further if productivity gains increasingly replace infrastructure spending as the principal source of earnings growth.

The immediate catalysts include the November 3 US midterm elections, forthcoming employment and inflation reports, Federal Reserve policy expectations and the remaining third-quarter corporate earnings announcements.

For now, investment banks broadly agree that corporate profitability remains an important source of support for US equities. Their disagreement concerns the sustainability of that growth and how much additional volatility investors may face before valuations stabilize.

The October 30 selloff has not eliminated Wall Street’s bullish year-end forecasts, but it has increased the importance of earnings quality, financing costs and the measurable financial returns from artificial intelligence investment.