AI world

Big, pervasive, and not going away anytime soon

This isn’t our first tech bubble. In fact, we have invested through many bubbles from dotcom, energy trading, China (2x), commodities, housing, mobile, fracking, cloud, marijuana, and now AI.  Each was different in its trajectory, speed, size, inflation, and deflation. Some bubbles are big but narrowly focused (dotcom), some are gradual that have systematic ramifications (housing), some grow and pop with limited economic consequences (marijuana). This one is already really big and pervasive, so big that its path will likely be the dominant factor in driving equity and bond markets plus the global economy in the coming years.

The AI infrastructure buildout has some pretty mind-blowing numbers behind it. Based on current forecasts, this is bigger than any of the big infrastructure spends over the past few hundred years. Measuring the spend versus the size of the economy, the only past infrastructure spend that comes close was the railway expansion back in the late 1800s. We will see, as the railway buildout lasted two decades and the AI infrastructure spend is only a few years old now.

A very important caveat for the above chart, which certainly encourages enthusiasm for this bubble, is the path of investment returns. The railway bubble lasted 20 years, but railway investors enjoyed strong returns in the 1870s and very poor results in the 1880s even as the infrastructure spend and buildout persisted. Same with the Internet. The period from 2000 to 2003 was abysmal for stocks, but cable continued to be laid. For a sports analogy, you don’t want to stick around till the end of the game; in fact, you may want to leave at halftime. Our guess, given expectations are high and still rising, while the size of companies is already massive, we are in the first half of the buildout, but the stock market may be at the second hydration break.

The AI infrastructure buildout is real, with lots of capital and little concern over rising costs as leadership or “being there” is paramount. And it is not just the mega data center projects as we may all have a DGX Spark in our garage in a few years. Will there be a positive ROI (return on investment) for all this infrastructure? Perhaps. The demand continues to build as do the use cases. Add shortages or tight supply of memory, chips, power tie-ins, or simply a shortage of compute and the enthusiasm is easy to justify.

Conversely, some have already modelled that the global economy may have to spend more on AI compute than food to justify what is forecast to be built out. Or the labs will make more compute efficiency gains, just ask Jev (a proprietary AI model). Open models versus closed, integrated customer solutions versus stand-alone offerings. Sticking with our game analogy, there are a lot of twists and turns ahead.

Regardless of your views on the next leg of this bubble and the market/economic implications, you are exposed. This is an everywhere bubble.

All are aware this bubble is evident in chips, memory, optics, storage, and LLM providers. Now it has spread to lift shares in many industrials involved in building or power to even boring utilities. Or from a geographic perspective, pick an equity market and there is often a good amount of AI exposure. The U.S. equity market leads this thanks to many of the megacaps and model providers. The top 10 weighted names in the S&P 500, totaling over 40% of the index, are all AI plays. Emerging markets and Japan have a lot of exposure on the tech hardware side including memory and chips.

Even if you have limited AI exposure on the equity side of the portfolio, you may be getting some on the bond side. The investment-grade fixed income universe in the U.S. used to be about 7%-8% weighted to the megacap AI names and providers of the picks and shovels or chips and connectivity. That weight started to rise a year ago and now sits at 12.1%. The biggest increases came from Alphabet, Amazon, Meta, SpaceX, and Oracle.

Even if you don’t own many direct AI-related bonds or many direct AI-related equities, you are still exposed. This rapid bond issuance is one of the contributors to rising bond yields everywhere. Yes, this is such a big deal that it is influencing government bond yields because of competition for capital. And the capex spending, much of it devoted to building data centers to drive AI compute and training, is helping supercharge economic growth.

There is no easy way to accurately measure this economic impact, but it is noticeable. We isolated two sub-components of U.S. GDP that would be largely impacted by the data center spend, namely fixed investment in information processing and intellectual property spending. Over the past 30 years, these two have averaged about a +0.4% contribution to real GDP but currently are running at almost 1.0%. With AI related capex accelerating a lot in 2025 and in 2026, the impact is becoming very notable even in the headline GDP numbers.

For some context, this capex tech spending did spike in 2021 as remote or hybrid work required infrastructure spending. That was short-lived. This tech spending was also big in late 1990s and that last for 3-4 years as the internet was built. Without this spending, the U.S. economy would certainly be growing at a lower pace. If it were to slow or even normalize, headline growth would take a hit. And this may cause other areas of economic weakness to become more apparent, such as a struggling housing or the bifurcated consumer.

And if you don’t own much AI-related stocks or bonds or exposure to U.S. economy, you are still exposed. A good portion of this capex is spent on imports, which is helping economic growth in many other countries around the world.

AI has become a dominant factor in many equity markets around the world, now it is driving bond yields plus boosting economic growth. AI is everywhere and everything.

Final thoughts

This is a bubble that is big enough and pervasive enough that it will impact markets and economy. We are all in it now, and we believe the key to navigating will be to monitor its path, be aware of your exposures, be opportunistic and be prudent by ensuring your portfolio has adequate diversification offsets.

Craig Basinger is the Chief Market Strategist at Purpose Investments Inc. and portfolio manager of several Purpose funds, including Purpose Tactical Thematic Fund.

Derek Benedet is a Portfolio Manager at Purpose Investments Inc. and manages several Purpose funds, including Purpose Tactical Asset Allocation Fund.

Brett Gustafson, Associate Portfolio Manager, and Spencer Morgan, Director, Portfolio Strategy, at Purpose Investments, contributed to this article.

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Content copyright © 2026 by Purpose Investments Inc. All rights reserved. Reproduction in whole or in part by any means without prior written permission is prohibited. Excerpted from the October 19, 2026, post on the “Market Ethos” page of the Purpose Investments’ website. Used with permission.

All data sourced from Bloomberg unless otherwise stated.

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