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A Softening Economy vs. The AI Spending Frenzy

September 13th, 2025
Picture of Mitch Zides, CFA, CFP
Mitch Zides, CFA, CFP

Portfolio Manager


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This week, the market is defined by a powerful crosscurrent: a softening economy is clashing with an unprecedented spending frenzy in Artificial Intelligence. Understanding these two opposing forces is key to navigating the current environment.

Economic Cooling and the Fed

On one side, we are seeing clear signs of economic cooling. For the first time since April 2021, there are more people looking for jobs than there are jobs available. In normal times, this might spook investors. Instead, the market is already pricing in the Federal Reserve’s next move. With the labor market softening, investors believe the Fed now has the justification it needs to begin cutting interest rates, perhaps as soon as their meeting next week. As Treasury yields fall in anticipation, the classic market playbook kicks in: lower rates make it cheaper for companies to borrow and invest, make their future earnings more valuable today, and push investors from low yielding bonds into stocks in search of better returns.

The AI Premium

On the other side of this dynamic is a market focused squarely on the future, and that future is being defined by one word: AI. Investors are willing to look past near term economic weakness because they are captivated by the transformative potential of artificial intelligence. Tesla is a prime example. The company’s core auto sales just turned negative, a clear headwind, yet the stock has rallied. Why? Because investors are no longer valuing it as just a car company. They are buying into the long term vision of robotics, autonomous driving, and the massive data infrastructure that powers it all. The market is forgiving weakness today because it believes in a much bigger, AI driven tomorrow.

Historic Capital Spending

The underpinning of this AI bull market is a capital spending cycle of historic scale. Oracle just provided the clearest proof of this, guiding that it could generate as much as $144 billion in additional cloud revenue over the next five years. Despite missing near term estimates, the company reported a backlog that surged 359% year over year to $455 billion. CEO Safra Catz described demand as “enormous” and “unprecedented.” This isn’t just hype. Oracle is now building 37 new data centers to keep pace.

Infrastructure Constraints

The ripple effects are already showing up in the real economy, particularly in the power markets. Electricity rates for AI projects are being bid up to double, triple, or even four times normal levels as data centers scramble to secure the energy they need. Consequently, utility stocks and infrastructure companies (the “picks and shovels” of the AI gold rush) have surged as demand for power and essential materials like copper continues to climb.

The obvious risk, of course, is what happens when the buildout is complete. If the actual demand for AI services fails to meet the sky high expectations priced into stocks, the market will be forced to reset. We’ve seen this pattern before, from the fiber optic boom of the late 90s to the cannabis and EV manias of recent years. Speculation often gets ahead of reality.

Strategic Divergence

The situation with Apple highlights a profound philosophical divide in the market. At their conference this week, Apple highlighted Apple Intelligence (on-device + Private Cloud Compute) and ChatGPT integration. Reports say Apple is exploring Gemini for Siri, but that shift hasn’t been formally announced. This could be a monumental break from its playbook of controlling every aspect of its technology. The market, which currently rewards aggressive spending, punished this perceived timidity. It’s a high stakes gamble: if the underlying AI models become a commoditized utility, Apple’s discipline will look brilliant. But if the foundational model becomes the next great technology platform, Apple may have made a critical error.

The Future of Work and Valuation

Right now, tech valuations are pricing in five or more years of perfect execution, but there is a deeper link between the two forces shaping these markets. The softening labor market and the AI spending boom may not remain separate currents for long. One of the key promises of AI is its potential to automate tasks, and if companies reduce headcount because AI tools perform the same work more cheaply, the pressure in the job market will intensify. That weakness in employment, however, could translate directly into higher profitability and productivity for corporations.

When that happens, the crosscurrents merge. What appears today as a tension (an economy showing cracks and a stock market obsessed with AI) could evolve into a single narrative where economic slack and technological disruption reinforce each other. This is the real test that is coming. The market’s key question will shift from, “How much are you spending on AI?” to “Are you using AI to cut costs, widen profit margins, and justify your valuation?”

This integration also carries risks. A wave of job displacement could put a ceiling on consumer demand, undercutting the very growth investors are banking on. That moment of truth will trigger a great separation, revealing which companies built a truly profitable business versus those that simply burned through shareholder cash. The outcome will depend on whether AI drives a cycle of productivity led expansion or hollows out demand faster than profits can rise.

Have a great weekend!


Sources

1. Labor Market: For the first time since April 2021, job seekers outnumber available jobs.
2. Tesla: Core auto sales turned negative.
3. Oracle: Guidance for $144 billion in additional cloud revenue over five years; backlog surged 359% YoY to $455 billion; building 37 new data centers.
4. Energy Market: Electricity rates for AI projects bid up 2x-4x normal levels.

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