On June 11th, Space Exploration Technologies, better known as SpaceX (SPCX), began trading on Nasdaq. The headlines were everywhere: A $1.75 trillion valuation. The largest IPO in stock market history. The media is suggesting that this is a once-in-a-generation opportunity.

The noise around IPOs is likely to continue throughout 2026, with more large IPOs planned this year, including OpenAI (known for ChatGPT) and Anthropic (known for Claude.ai).

These companies may change the world as we know it. Maybe not. As investors, we can be excited about these companies, but the evidence tells a clear story about IPOs and how we should treat them in our portfolio.

What the Evidence Shows on IPOs

Based on research from Dimensional Fund Advisors (DFA), we can examine IPO performance across two timeframes: short and medium-term.

Over the short term (first trading day), IPOs typically perform well. This phenomenon is often referred to as the “IPO Pop.” Insiders and some large institutions can buy shares at the IPO price (unavailable to the public) and sell them at higher prices on the open market. Thus, the positive return from the IPO Pop is reserved for insiders and unavailable to the average investor. Individuals can only access shares on the open market meaning after the shares start trading. Often, investors may have to pay higher prices, thereby decreasing (or eliminating) the day-one returns that we see in the data and which the media loves to hype.

After the IPO Pop, over the next six to twelve months after listing, IPOs tend to lag the broader US stock market by 2-3% per year. Please reread the last sentence.

Obviously, these trends may not happen every time. Any individual IPO stock may be different. But the point is that, on average, IPOs tend not to be great investments, particularly when they have high valuations and negative profits, like SpaceX.

An Evidence-Based Alternative

There is good news here. As always, we can leverage this data and evidence to build better portfolios. The funds that we use at HIG typically wait for the IPO hype to fade and for insiders’ lock-up periods to end (increasing the supply of shares) before buying newly listed companies. What does this mean? We expect that, over time, all of our clients will have an appropriate allocation to many of these newly listed companies in the six to twelve-month timeframe as they meet the evidence-based criteria for inclusion in the portfolio.

The Temptation Is Real

We understand the emotional pull. When something feels “historic,” sitting on the sidelines can feel like missing out.

As advisors, our job is to keep clients focused on what the evidence says, not what the moment feels like. The same discipline that keeps you from panic-selling in a downturn is the same discipline that keeps you from buying into a frenzy.

A great company is worth rooting for. It is not always worth buying.

If you’d like to continue this discussion, please reach out to me at ryan@hillinvestmentgroup.com.

Welcome to our next article in our “Signal vs. Noise” series, which examines popular claims circulating online or in print. Our goal is to help you separate the signal from the noise. At Hill Investment Group, we believe good advice should be simple, clear, and grounded in evidence — not hype.

“The biggest risk is not having exposure to this transformational technology.” — JPMorgan Wealth Management, January 2026

The story feels so obvious: transformative technology, dominant companies, get in now. But a compelling technology story and a compelling investment are two totally different things. Thus far in 2026, three of the largest AI companies on the planet reported some of their best quarters ever – and watched their stock prices drop. Here’s why that’s not as surprising as it sounds.

A stock’s price is the market’s collective best guess at everything a company will ever earn, discounted to today. It’s like how you can’t get a bargain on a house in a neighborhood that everyone knows is great – that desirability is in the asking price. In general, AI companies’ stocks trade at steep premiums compared to the broader market. That’s not necessarily right or wrong; it’s the market saying, “We expect extraordinary things.”

Exhibits A, B, and C

NVIDIA Corp – the designer of the AI chips that power the data centers behind virtually every major AI application in use today

• February 2026 – beat all earnings estimates and set all-time records for revenue, profits, and future earnings guidance – the stock fell 5.5%

Taiwan Semiconductor (TSMC) – the company that physically manufactures chips for NVIDIA, Apple, and virtually every major AI company

• April 2026 – beat all earnings estimates and set all-time records for profits for the fourth consecutive quarter – the stock fell 3%

ASML Holdings – the Dutch company that makes specialized machines used to produce TSMC’s chips; without ASML, there is no modern semiconductor industry

• April 2026 – beat revenue and profits estimates, while increasing their full-year guidance for 2026 – the stock fell 6%

These three companies are worth ~$5.5 trillion combined and are critical parts of the global AI backbone. They delivered, but the market said, “We already knew.”

These examples aren’t a reason to avoid AI investments entirely. Instead, they serve as a timely reminder that stock prices already reflect the market’s expectations, and that expecting a great company to keep being great isn’t the same as expecting a great return.

The more useful question for your financial future isn’t “will AI change the world?” It probably will. The better question is: “Is my portfolio built to succeed regardless of whether these companies meet the market’s sky-high expectations for them?”

Your portfolio already owns AI. At Hill, we invest in global capitalism, which means that you already own NVIDIA, TSMC, ASML, and every other company driving or benefiting from this technology as part of a diversified portfolio. Put simply, you get to participate in the upside if AI exceeds expectations, but you’re also not overexposed if these companies fall short.

Decades of financial research show that the most reliable path to investment success is owning the whole market, staying diversified, and tilting toward companies that are attractively priced with strong profits. Instead of taking a bet on (or against) AI, you have a strategy built to succeed whether or not AI stocks live up to the hype.

Our job is simple but critically important: put the odds of investment success in your favor by sticking to the evidence, not the headlines.

Disclosure

We are excited to share that the Longview Advantage Fixed Income ETF (LVIG) officially launched on March 9th. As of March 31st, the fund has already reached $90 million in assets, reflecting strong early interest from advisors and investors.

We recently sat down with Nasdaq’s Just for Funds to walk through the strategy, its origin, and how it works in practice. You can watch the full discussion here.

For advisors who follow our work, if LVIG could be relevant for your clients, we would welcome the conversation.