The biggest risk to the AI story may not be AI itself.
It’s the price tag.
Tech giants are expected to spend roughly $800 billion this year and more than $1.1 trillion in 2027.
Investors believe the payoff will be worth it, and that’s what the market’s counting on.
Wall Street expects today’s AI spending spree to produce about $2 trillion in operating cash flow by the end of the decade.
That’s a big bet—and more investors seem willing to make it.
It’s also becoming the consensus view. In the Fed's latest economic projections, not a single policymaker flagged downside risks to growth.
When everyone sees the same bright future, expectations rise. That's why the next phase of the AI story may look different from the last.
The bet has already been placed; now the market is waiting to see whether it pays off.
What Voya’s Multi-Asset Strategies and Solutions Team is watching
- The pace and scale of AI-related capital spending
- What management teams are saying about future investment plans and expected returns
- Signs that AI investments are translating into sustained revenue and cash flow growth
- How markets respond to both positive and negative developments as expectations continue to rise
Advisor angles
Most of your clients aren't tracking AI spending forecasts, but they’re certainly seeing or hearing about the headlines.
Questions your clients may ask
Is AI getting overhyped?
That's really what investors are trying to figure out. Most people agree AI has the potential to be a major technology shift. The bigger question is whether the market is expecting too much, too soon.
Does this feel like the dot-com bubble?
Whenever investors get excited about a new form of technology, comparisons to past market booms are inevitable. The difference is that today's companies are making real investments and generating real revenue, but that doesn't mean expectations can't get ahead of reality.
Why do the same handful of stocks keep driving the market?
Investors believe those companies are in the best position to benefit from AI. As long as they keep showing strong growth and delivering results, they'll continue to get a lot of attention from the market.
What happens if AI doesn't live up to all the hype?
AI doesn't have to fail for investors to get disappointed. Expectations are very high, and markets tend to react when reality falls short of what people were hoping for.
Has the market gotten too optimistic?
Optimism isn't necessarily a bad thing. The risk comes when everyone starts expecting the same outcome. When expectations get very high, even small disappointments can have a bigger impact.
Potential touchpoints
- A client asks whether they've missed the AI opportunity.
- Headlines focus on another large AI spending announcement.
- Technology stocks drive a significant market move.
- A client draws comparisons to previous periods of market enthusiasm.
- A portfolio review prompts discussion about expectations, concentration, or market leadership.