As artificial intelligence reshapes industries and stock markets, investors are asking: Are we in an AI bubble?

The short answer: major bank analysts say “not yet,” but they warn of pockets of excess and a possible pullback if profits fall short of lofty expectations.

What the analysts are saying

Goldman Sachs: Strong fundamentals, but stretch ahead

Goldman Sachs analysts note that today’s AI valuations reflect genuine revenue growth and corporate spending — not pure speculation. However, the firm warns of “stretched valuations” and says a correction is likely if earnings momentum slows.

JPMorgan: Circular deals and concentration risk

JPMorgan Asset Management highlights the surge of interlinked partnerships among chipmakers, cloud providers, and AI model developers. The bank calls these “circular AI deals,” which underscore industry momentum but also show how dependent the ecosystem is on a small set of dominant players.

Morgan Stanley: The buildout phase may be peaking

Morgan Stanley’s research suggests the AI investment cycle is moving into a more mature phase. Rising capital expenditure and potential financing needs could make stocks more volatile — especially if some projects take longer to become profitable.

Why analysts say “not yet”

1. Profits are real

Unlike the dot-com era, today’s leading AI firms are already generating strong earnings growth from cloud computing, chip sales, and automation tools.

2. Balance sheet strength

Most AI leaders are profitable or have large cash reserves, reducing the risk of a liquidity crisis even if valuations correct.

3. Real demand for compute power

Corporate clients are embedding AI into marketing, logistics, and productivity software—creating structural demand for chips and data centers that supports the current investment wave.

Where the bubble risk lies

• Speculative startups: Many AI-only startups still lack proven revenue models.

• Investor over-extrapolation: Markets are pricing perpetual growth for every AI-linked company.

• Capital dependence: Firms relying on constant external financing could struggle if rates stay high.

What this means for Spanish investors

Spain’s exposure to the AI boom comes largely through US and European tech firms, but their performance directly affects Spanish portfolios. Spanish investors should consider:

• Focus on fundamentals: Favor companies with sustainable profits, not hype.

• Avoid concentration: Many ETFs are overweight in a few AI megacaps. Diversify across sectors and regions.

• Watch capital intensity: High-spending firms may face short-term volatility.

• Monitor EU regulations: European data and AI laws can reshape corporate earnings models.

A cautious playbook

1. Rebalance away from concentration in a few mega-cap AI names; consider broader, value-oriented exposures

   
   

2. Limit speculative AI positions and set stop-loss levels.

   
   

3. Keep an allocation to quality income or defensive assets to cushion volatility—banks warn of possible drawdowns.

   
   

4. Consider active funds management or stock-picking if you want targeted AI exposure; many banks note that winners will be selective and not every AI-related firm will prevail.

   
   

Major banks don’t yet see an AI bubble, but they do see warning lights. For Spanish investors, the lesson is clear: stay grounded in earnings and valuation discipline. The AI revolution is real, but prices can still get ahead of reality.