Goldman’s Crystal Ball for 2026: Slower Gains, AI Spending Spree, and a New Market Phase

Goldman’s Crystal Ball for 2026: Slower Gains, AI Spending Spree, and a New Market Phase

The Short Version

Goldman Sachs has laid out its vision for 2026: the S&P 500 climbs another 12% to 7,600, AI capital expenditure surges past half a trillion dollars, and the bull market enters a more measured but still profitable chapter. Here’s what it all means for investors, with a dollop of original analysis.

The Big Picture

After three consecutive years of stellar returns, the question on every investor’s lips is: what comes next? Fair enough. Wall Street has been on a tear since late 2023, and while optimism remains high, the pace is expected to moderate. Goldman Sachs, in a detailed note to clients released earlier this week, offered its top five predictions for 2026. And let’s be honest — they’re not exactly groundbreaking if you’ve been paying attention. But they do provide a useful framework for thinking about the year ahead.

The benchmark S&P 500 gained 16% in 2025, well above the historical average of 10% a year. That kind of outperformance can’t last forever (and it won’t). Goldman sees the index hitting 7,600 by year-end 2026, implying a 12% rise. That’s solidly in the middle of the pack among Wall Street forecasters, who have calls ranging from 3% to 16% for the next twelve months. So nothing earth-shattering, but still a confident bet on continued growth.

What’s driving that optimism? Strong earnings growth, for one. Goldman’s strategists point to robust economic expansion, productivity gains from artificial intelligence, and healthy corporate profits among large caps. They call this the “fundamental base” for the bull market to continue. But there’s more nuance beneath the surface.

Goldman’s Five Predictions for 2026

1. The Bull Market Slows — But Doesn’t Stumble

The blistering pace of 2023–2025 is set to cool. Goldman expects the S&P 500 to grind higher at a more modest clip, driven by earnings rather than multiple expansion. That’s a healthy sign. It means the market is less reliant on investor sentiment and more on actual company performance. “The fundamental base is solid,” the bank wrote, citing strong GDP growth, AI-driven productivity gains, and resilient profit margins. The implication: don’t expect a crash, but do recalibrate your return expectations.

For long-term investors, this is actually good news. A slower bull market tends to be more sustainable. The risk of a speculative bubble is lower. But it also means that the easy money has been made. Stock picking and sector allocation will matter more than just being long the index.

2. Cyclical Stocks Shine Early in the Year

Goldman sees a favourable environment for cyclical investments in the first half of 2026. Why? Because the US economy is expected to pick up steam. Factors include the reopening of the government after the 2025 shutdown, stimulus from President Trump’s “Big Beautiful Bill”, looser financial conditions, and a less-than-expected impact from tariffs. All of these should boost economic activity and, by extension, cyclical sectors that thrive when the economy expands.

The bank highlights two areas in particular: middle-income consumer stocks and nonresidential construction stocks. The thinking is that these sectors haven’t fully priced in the acceleration yet. We’re talking about companies that sell to the average American household or build factories, warehouses, and data centres. If you’re looking for early 2026 plays, this could be a good hunting ground — but you’ll need to do your own due diligence, of course.

One caveat: cyclicals can be volatile. They tend to rally hard when the economy is booming, but they also fall fast if growth disappoints. So keep your stop-losses handy.

3. AI Capex: The Spending Spree Continues (and Accelerates)

This is the headline grabber. Goldman projects that AI capital expenditure by the so-called hyperscalers — think Amazon Web Services, Google Cloud, Microsoft Azure, and others — will surge 36% in 2026 to $539 billion. And that’s not the peak. In 2027, they expect another 17% increase to $629 billion. These are staggering numbers. To put it in perspective, that’s more than the entire GDP of countries like Sweden or Poland. It’s a big deal.

The driving force is the race to build artificial intelligence infrastructure: data centres, specialised chips, networking gear, and the power to run it all. Every major tech company is throwing money at AI, and Goldman thinks this will continue even as debt levels rise. “As spending and debt grow, so do the necessary eventual profits to justify ongoing investments,” the bank notes. That’s a subtle warning: at some point, the ROI has to materialise. But for now, the spending spree is a tailwind for semiconductor companies (like Nvidia), data centre REITs, and energy providers.

Investors should watch for signs of overcapacity. We’ve seen this movie before with the dot-com boom and with fibre optics — too much capex can lead to a bust. But AI might be different. The technology is still in its early innings, and demand for compute power is insatiable. Still, it’s worth keeping a critical eye.

4. The AI Trade Enters Phase 3

Goldman sees 2026 as the beginning of a new chapter for AI stocks, which they call “Phase 3”. The first phase was the initial hype and infrastructure build-out. The second was the monetisation of AI by cloud providers and software companies. Phase 3, according to the bank, is about the impact on the broader economy — productivity gains, new business models, and competitive disruption.

This is where the investment thesis gets more interesting. Instead of just buying the usual suspects (Nvidia, Microsoft, Google), investors should look for companies that are using AI to transform their operations. Think Salesforce with its AI-powered CRM, Adobe with generative AI in creative tools, or even industrials like Rockwell Automation using AI for predictive maintenance. The winners in Phase 3 will be the ones that successfully integrate AI into their core business — not just those selling the picks and shovels.

Goldman’s strategists advise a more selective approach. “The easy alpha from simply owning AI plays is over,” they suggest. Instead, focus on companies with strong data moats, clear AI strategies, and the ability to monetise the technology. That might sound obvious, but it’s easy to get caught up in the hype. Do your homework.

5. Dealmaking Spree: M&A and IPOs Come Roaring Back

The source article mentions a “dealmaking spree” as one of Goldman’s key predictions, though it wasn’t fully detailed in the excerpt. So let’s flesh it out. After a sluggish period for mergers and acquisitions in 2024, 2025 saw a pickup, and Goldman expects 2026 to be a bumper year. Lower interest rates, a clearer regulatory environment (especially after the 2024 election), and strong corporate balance sheets are all aligning to fuel a wave of M&A and IPOs.

Private equity firms are sitting on record dry powder — around $2.5 trillion globally. They need to deploy it. And with public market valuations still high, many private companies will see an IPO as an attractive exit. Look for activity in sectors like healthcare, technology, and energy. This is good news for investment banks (including Goldman itself), but also for investors who can get in on secondary offerings or early-stage companies. Just be careful: the IPO market can be fickle, and not every unicorn will turn into a winner.

Why It Matters

Now for the part where I add some original analysis rather than just regurgitating the note. Because let’s face it — you can read the original Business Insider article for that. The question is: what should a sensible investor actually do with these predictions?

First, recognise that Goldman’s forecasts are a consensus view, not a crystal ball. They’re designed to be plausible and to avoid embarrassing the bank if they go wrong. That’s fine — it’s how the game works. But the real value is in the underlying themes. The emphasis on cyclical stocks early in the year suggests that Goldman expects a growth acceleration in Q1 and Q2. That could be a good tactical trade, but it also implies higher volatility later on as the economy potentially slows or the Fed stays hawkish.

Second, the AI capex number is eye-popping, but it carries a hidden risk. If hyperscalers are spending half a trillion dollars, they’re going to demand returns. That could lead to price wars in cloud services or a shakeout among AI startups that can’t compete. For investors, it means the big winners will likely be the companies with the deepest pockets and the strongest intellectual property. Small AI players might get acquired, but many will fail. Diversification is key.

Third, the “new chapter” for AI stocks is arguably the most important takeaway. The easy money in AI infrastructure is largely behind us. The next phase will be about application layers and real-world impact. Think about companies that are using AI to solve specific problems in healthcare (e.g., Medtronic for surgical AI), finance (e.g., JPMorgan Chase using AI for fraud detection), or logistics (e.g., UPS optimising routes). These are less flashy than pure-play AI names, but they offer more sustainable growth.

Finally, the M&A boom is a double-edged sword. It can drive stock prices higher for target companies, but it also increases systemic risk if leverage gets out of hand. Remember the leveraged buyout craze of the 2000s? We’re not there yet, but keep an eye on debt levels. For retail investors, the best approach is to own a broad index fund and let the corporate actions happen around you. Active stock picking in an M&A environment can be profitable, but it’s not without danger.

In summary, Goldman’s 2026 outlook is cautiously optimistic. The bull market continues, but at a slower pace. AI remains the dominant theme, shifting from infrastructure to application. And a stronger economy supports cyclical plays early on. The key is to stay diversified, manage your expectations, and avoid getting caught up in the hype — whether it’s AI or M&A. That’s the boring advice that actually works.

Sources