--- title: Here to Mars description: Explore the speculative market trends of 2026 as we analyze AI, space investments, and the upcoming SpaceX IPO, drawing parallels to past market bubbles. --- [Skip to content](https://resources.newedgeadvisors.com/newedge-advisors-llc-blog/here-to-mars#main-content)   ![NewEdge Capital Group](https://resources.newedgeadvisors.com/hs-fs/hubfs/NewEdge%20Capital%20Group.png?width=302&height=85&name=NewEdge%20Capital%20Group.png)   # Here to Mars ![Cameron Dawson, CFA®](https://resources.newedgeadvisors.com/hs-fs/hubfs/Cameron%20Dawson%20Headshot%20-%20Dark%20Background%20Circle%20190x190.png?width=48&height=48&name=Cameron%20Dawson%20Headshot%20-%20Dark%20Background%20Circle%20190x190.png) Cameron Dawson, CFA® June 1, 2026 ![Here to Mars Weekly Edge Image](https://resources.newedgeadvisors.com/hs-fs/hubfs/Here%20to%20Mars%20Weekly%20Edge%20Image.jpg?width=768&height=512&name=Here%20to%20Mars%20Weekly%20Edge%20Image.jpg)   *Honey, it’s in the stars* *And you’re my everything from here to Mars* “Here to Mars”, Coheed and Cambria For the last 25 years, Coheed and Cambria have been releasing progressive rock concept albums that follow the story of *The Amory Wars*, a series of science fiction comics and graphic novels created by Coheed frontman Claudio Sanchez. All of Coheed’s albums follow this galactic story arc except for one, 2015’s *The Color Before the Sun*, and though this album is not part of the *Amory* epic, Claudio didn’t stray far from his space-based themes. Claudio wrote the song “Here to Mars” as a love song to his wife and describes it as such: *“I wanted the song to feel epic and explosive, and distant like a journey. Some people might get literal with it and say, ‘You only love your wife to Mars? But that’s only the neighboring planet of our solar system – it’s not really that far away!’ But to me, Mars might as well be the other end of the universe because I’m never going there.”* *Never* going to Mars? Not if Elon Musk (and the one billion shares of SpaceX he could receive if SpaceX reaches a $7.5 trillion valuation and establishes a permanent settlement of one million people on Mars) has anything to do with it! Using a sci-fi metal soundtrack for today’s market feels particularly appropriate, as any reader of science fiction knows that part of enjoying the genre is the provocation to dream about the future (whether it is utopian or dystopian) and the provocation to believe the unbelievable, at least for a brief time while reading. Dreaming about the future and believing the unbelievable has been the market’s disposition in 2026, as evidenced by huge rallies in speculative, no-earnings, and even no-revenue stocks tied to today’s dominant themes like AI, space, and even AI *in* space. For example, the NASA ETF rallied over 70% since its launch in early April, drawing in $1.6 billion of AUM from aspiring armchair astronaut. Of course, there have also been huge rallies in parts of the market that are making the future (again, utopian or dystopian based on your temperament) happen today, such as the semiconductor and tech hardware equipment stocks that are directly benefitting from the rapid buildout of AI infrastructure. This capex for the AI future is resulting in soaring earnings, margins, and stock prices for suppliers to that infrastructure buildout. In the last two months, the tech hardware industry group is up 36% and the semiconductor industry group is up 83%. Combined, those two groups now make up 30% of the overall S&P 500. But back to the celestial dreamers, the distinctly speculative and low-quality nature of the rally in the last two months should be flagged and monitored closely, as it is an important symptom of broader risk appetite, sentiment, and positioning. The Goldman Sachs Unprofitable Tech Index is a great way to track this speculative trade (it tracks shares of “story stocks” that have no earnings but the prospect for rapid future growth). This index is up +60% in the last two months and has rallied +15% in the last week alone.   **Total Return (4/8/25 – 3/24/26): S&P500 Semiconductors +94%, S&P500 Software +4%**![Picture2](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture2.png?width=632&height=319&name=Picture2.png)*Source: Bloomberg, NewEdge Wealth as of 3/24/26*    We can also see this speculative bid in broader indices, where the Russell 2500, a SMID cap index, has been driven higher in 2026 by a cohort of low-to-no earnings stocks. Consider the following lineup of statistics from our Jay Peters (as of 5-28-26): • Russell 2500 is up 20% thus far in Q2, with 10 stocks accounting for nearly a third of the index return. These 10 are all AI or space related names and are up an average of 125% • Top 10 contributors trade at an average FP/E of 51x and average FP/S of 15x • 75 companies in the index are up more than 100% in 2Q. The average FP/E (forward price to earnings multiple) of this group is 150x, and half of this group has negative EPS. Those that do have EPS trade at an average of 180x FP/E • Contrast this with the names in the index that are profitable and trade at a discount to the index only up +8% on average in 2Q Investors seem to be evoking Claudio’s lyrics from the bridge of “Here to Mars” singing: “*Pardon me, I think I am going out of my head and into the worst*”.   **“I’m Leaving You With This Here, Ok?”: SpaceX IPO** The total encapsulation of this moment of science-fiction future dreaming is the upcoming IPO of SpaceX. Only in a risk-on market like today’s could you see the potentially largest IPO in history (not inflation adjusted though, Saudi Aramco still holds that crown) come from a company that could trade at 80-100x forward sales on a sales base that has been growing roughly 30%, is still loss making (a $4.9B loss in 2025, a $4.3B loss in just 1Q26), has published a $28.5 trillion estimated total addressable market (or TAM) for its businesses, and has heavily incentivized its leadership to pursue fantastic(al) but likely loss making pursuits, such as terraforming Mars. If we make it to Mars, Claudio may have to rewrite the song as “Here to Jupiter”, but the rhyme scheme is arguably tougher with this update. Bringing us back down to earth for a moment, the effort to which exchanges and indices are going to make this blockbuster IPO a success is also notable, such as Nasdaq putting a multiplier on the weight it will give SpaceX in its index because the float (or the percentage of the market cap that is freely traded) will be so small, or the S&P 500 relaxing its profitability rule to include SpaceX in the index, or S&P and Russell including the stock after only five days of public trading. The dynamics around non-economic demand from indices for shares of SpaceX, contrasted with the relatively small initial supply of shares, have sparked intense debates as to how the stock could trade in its initial days/months, regardless of its fundamentals.   **“Give Me a Second Chance, I Know I Could Be Your Better Half”: Reminisces of 2020** The rally in low quality, low-to-no earnings, high valuation, speculative parts of the market is reminiscent of 2020, when we saw a COVID-era liquidity and stimulus fueled rally in unprofitable stocks and a wave of IPOs (mostly [low quality SPACs that have since performed terribly](https://go.newedgewealth.com/e/1023981/ritter-files-IPOs-SPACs-pdf/6l9ym/690765213/h/LvWIHPPNrZCZiGnO-CrGIcexFRngH9V7PqpIifZXv_c)) to capitalize on this ravenous risk appetite. The big difference between today and 2020 is magnitude, with the chart below showing the relative performance of the Goldman Unprofitable Tech vs. S&P 500, alongside the YoY growth of M2 Money Supply (a very rough measure of liquidity). We would not expect in any “normal” circumstance to see a repeat of the 25% money supply growth from 2020 (alongside all of the “stimmy” checks fueling individual investor trading), but we still have seen a broadly supportive liquidity environment that helps to grease the wheels (or fuel the rockets?) of this speculative rally. **Relative Performance: S&P500 Semiconductors vs. S&P500 Software (10 Years)**![Picture3](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture3.png?width=596&height=399&name=Picture3.png) *Source: Bloomberg, NewEdge Wealth as of 3/24/26*   **Nonprofitable Tech vs. S&P 500 and M2 Money Supply Growth YoY %**   **“Dear Darling, I Hope I’m Being Clear”: So Is This a Bubble?** When comparing today’s market to 2020, it raises the question of whether or not what we are seeing is a bubble. This term gets bandied about freely, but we find the most helpful framework is from [*Quinn and Turner’s wonderful book, Boom and Bust*](https://go.newedgewealth.com/e/1023981/erpt-9781108421256-excerpt-pdf/6l9yq/690765213/h/LvWIHPPNrZCZiGnO-CrGIcexFRngH9V7PqpIifZXv_c), where they frame the conditions for a boom as the “bubble triangle” (taking the framework from the “fire triangle” concept that is used to understand forest fires). They identify three key conditions, plus a spark, for a speculative bubble to emerge: **• Marketability:** how easy it is for an asset to be bought and sold, with bubbles emerging at times when marketability improves (such as the telegram/telephone-based trading in the 1920s and internet-based trading in the 1990s). Arguably, app-based trading contributed to the 2020 bubble, while we could argue that today’s proliferation of thematic and leveraged ETFs (Todd Sohn at Strategas counts 41 AI based ETF launches in the last two months alone!), along with exploding options use and ETFs putting private assets in traded vehicles (as daft as that may be) as signs of today’s change in marketability. **• Money/Credit:** loose lending, capital, and liquidity conditions make it easier for investors to buy riskier assets. Today’s 5% money supply growth and [nearly 10% commercial bank lending growth](https://go.newedgewealth.com/e/1023981/p-the-speculation-machine/6l9yt/690765213/h/LvWIHPPNrZCZiGnO-CrGIcexFRngH9V7PqpIifZXv_c) is adding fuel to this speculative rally. Today’s higher interest rates are fascinating given still-loose financial conditions, which argues that “neutral rate” for Fed policy is higher, at least from the market’s perspective. **• Speculation:** psychological and behavioral dynamics that draw more individuals into trying to “flip” trades in the market (buying with the intention of selling in the near term at a higher price), versus looking at underlying fundamentals. **• The Spark**: The ignition for a speculative bubble comes from an exciting new technology or a change government policy. Today’s spark is clearly excitement around AI, space, and quantum technologies. A segment from *Boom and Bust* describes the “spark” and is a helpful reminder that today’s tech-driven market is following old historical patterns: *Technological innovation can spark a bubble by generating abnormal profits at firms that use the new technology, leading to large capital gains in their shares. These capital gains then attract the attention of momentum traders, who begin to buy shares in the firms because their price has risen. At this stage, many new companies that use (or purport to use) the new technology often go public to take advantage of the high valuations. While valuations may appear unreasonably high to experienced observers, they often persist for two reasons. First, the technology is new, and its economic impact is highly uncertain. This means that there is limited information with which to value the shares accurately. Second, excitement surrounding technology leads to high levels of media attention, drawing in further investors. This is often accompanied by the emergence of a ‘new era’ narrative, in which the world-changing magic of the new technology renders old valuation metrics obsolete, justifying very high prices. –* Quinn and Turner   **“Distorted, a Figure Set in Trend”: So, is This 1999?** There is a lot of pushback to calling today’s market a bubble or comparing it to the 1990s. After all, earnings growth has been so explosive for AI-infrastructure companies that valuations have fallen for these areas and even the broader market over the last 9 months. The chart below shows this dynamic with semiconductor earnings experiencing an unprecedented jump higher, but valuations still down from recent highs (even as the stock returns have been extraordinary). **SOX Semiconductor Index Reported EPS & Expectations 2025, 2026, 2027**![Picture4](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture4.png?width=986&height=448&name=Picture4.png) *Source: Bloomberg, NewEdge Wealth as of 3/24/26*   **SOX Semiconductor Index Forward P/E Ratio and 1 Year Forward EPS** *![Picture5](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture5.png?width=634&height=252&name=Picture5.png)* *Source: Bloomberg, NewEdge Wealth as of 3/24/26*    Strategists point to this earnings growth and say, “See! This isn’t 1999! There are earnings! Nothing like Pets.com!” But this ignores the fact that there were also very real earnings generated in the infrastructure buildout of the Internet. For example, from 1998-2000, Intel’s forward earnings increased 112%, CSCO’s forward earnings increased 190% (only to see those earnings forecasts get slashed by 60-80% in the next year, as shown in the charts below).    **S&P500 Semiconductor Industry: Trailing 12 Month Gross Margins (20 Years)![Picture6](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture6.png?width=624&height=339&name=Picture6.png)**  *Source: Bloomberg, NewEdge Wealth as of 3/24/26. Vertical lines denote index performance peaks*    Of course, the biggest contrast to the 1990s is that many of the spenders on Internet infrastructure capex (which benefited the earnings of INTC, CSCO, and GLW) were highly leveraged, low-to-no earnings companies that ultimately went bankrupt (such as Global Crossing, a builder of fiber optics networks, that saw its revenues grow from $400M in 1998 to $1.95B in 2000, with losses swelling to $1.9B and ultimately ending in a $12B bankruptcy). Today’s hyperscaler balance sheets that are fueling the earnings of AI capex beneficiaries are *far* more stable given their cash generative core businesses and ample access to relatively cheap debt financing (though this Mag 7 hyperscalers are doing a fantastic job of spending all that cash, as seen in the drop in free cash flow generation in the chart below)    **S&P500 Software: FP/E Premium Relative to the Broad S&P500 Index (10 Year)*![Picture7](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture7.png?width=624&height=350&name=Picture7.png)*** *Source: Bloomberg, NewEdge Wealth as of 3/24/26*   While many are suggesting the software business model is dead or will be significantly disrupted in the future (as valuations now imply), we believe the impact will be more nuanced and that there will be winners and losers in the industry as AI advances and software companies adapt to this new world of increased competition.   **Technology Stack Explained Using a Restaurant Analogy** To help explain what parts of the industry may or may not be at risk of disruption, it helps to think of a corporate technology stack like a restaurant. At the bottom of the stack (or front of the house) sits the interface layer. This is the restaurant menu and customer experience where humans interact with technology. It is an area that was already commoditized even prior to AI, and it is where AI products like ChatGPT, Copilot, and Gemini are already increasing worker productivity and handling more routine tasks. The next level up is the orchestration layer, the waitstaff that takes instructions from the interface layer and coordinates the type of meal to be prepared. This is where we find AI agents and workflow tools like Claude Code that can not only provide information and context about a meal, but make sure it is prepared and delivered to your table correctly. Moving another level up and into the kitchen, where software’s moat starts to deepen further, is the application layer. This is the chef who is a master at his craft, knows the recipes, and expertly prepares the meal being requested. While AI is already handling aspects of the application layer like writing code or allowing users to build custom tools, it has not yet reached the level of mastery that comes from decades of experience and product refinement. The moat is also stronger at this layer due to the degree of complexity and the critical demands of reliability and accuracy. At the top of the technology stack sits the system of record layer. This is the vault, pantry, and accounting ledger of the restaurant. It is the hard data of a company or physical restaurant inventory that AI tools can rely on but ultimately will struggle to displace. AI tools (a waiter in this analogy) can look in the pantry and predict when something may run out. However, the system of record (and companies that securely store, manage, and analyze this data) is the final authority on this information. This makes it an essential source for AI tools that sit at the lower layers and likely making this layer a beneficiary of AI innovation as opposed to being displaced by it.    **The Enterprise Technology Stack**![Picture8](https://resources.newedgeadvisors.com/hs-fs/hubfs/Picture8.png?width=662&height=420&name=Picture8.png) *Source: Claude (Anthropic), synthesized from Goldman Sachs and J.P. Morgan Research, NewEdge Wealth as of 3/24/26*   We recognize that it is certainly possible to pick apart our restaurant analogy and the durability and nuances of these various layers. This is partly why we have seen such broad-based selling pressure across the industry over the past several quarters. However, we think this framework is a helpful starting point, and it leads us to explore how software companies at each of these layers may be able to adapt to a new, more competitive environment. Ultimately, the traditional seat-based software pricing model is likely to change to an output or consumption-based pricing model. The productivity gains from AI innovation are likely to act as a headwind to corporate headcount, and, as a result, software companies will need to shift towards a revenue model driven by what tasks are completed and how many tasks are completed vs. how many employees use the software. This should ultimately allow for more durable revenue growth and assigned value from customers exploring lower cost AI alternatives. In addition to adapting their revenue models, we believe software companies that focus on enterprise customers will be relatively more insulated from AI disruption. Enterprise customers are highly complex organizations, with vast employee bases that utilize a web of technology to handle mission critical tasks. This combination will make it harder but not impossible for AI to displace software incumbents in this space. When evaluating opportunities in the software industry, we would prioritize companies focused on applications and systems of record, those that are transitioning to a consumption-based pricing model, those that primarily focus on enterprise customers, and those that are able to successfully integrate AI products and resources across their platforms. While software stocks have recently reached a deeply oversold state, making them prone to a bounce or modest recovery in the near-term, a more durable recovery will require fundamental results. Historically, the best measure of success and the one that has rewarded investors the most following industry downturns has been accelerating revenue growth and improved guidance. Many software companies have posted mid-teens or even 20%+ revenue growth in recent quarters, yet investors have discounted this, likely because overall growth rates continue to moderate and AI disruption fears remain top of mind. In our view, it will take time for companies to turn this narrative around, meaning valuations are likely to remain compressed. Companies that can demonstrate sequential revenue acceleration and underscore business momentum with increased guidance are likely to be rewarded. But, it would be foolish to adopt a “Blind Side Sonny” (another great Coheed song) approach to this market, thinking that today’s earnings boom in historically cyclical industries and massive rallies in speculative companies can persist forever. AI may be the most exciting, revolutionary, life changing technology we have ever seen (so are you a utopian or dystopian dreamer?), but *eventually* we will see the growth in AI capex slow and *eventually* we will see supply and demand come into balance for AI equipment, resulting in an *eventual* moderation in today’s sky-high semiconductor/tech hardware margins and earnings. This moderating will *eventually* halt the massive rallies in both earnings-driven and speculative areas, but that *eventually* is likely not now. Importantly, just because that *eventually* exists does not mean investors should avoid the higher quality areas of these exciting industries.   **“Over and Out There”: Conclusion** This is a bull market, and it is a bull market fueled by excitement around new technologies that are driving a boom in both real earnings and speculative fervor. This pattern has emerged many times in the past, with a new technology sparking both investment/earnings *and* a surge in speculation (bicycles, railroads, telephones, radio, mainframe computers, the Internet). Said another way, it is typical for a new technology to bring both an earnings-driven rally and a speculative boom, just like today! We see times like today as an opportunity to embrace the excitement of new technologies, while also maintaining discipline about investment quality, valuations, and earnings durability. So, go throw on some Coheed and Cambria, read some (utopian) science fiction, and enjoy this moment of believing the unbelievable.   **IMPORTANT DISCLOSURES** This information is general in nature and has been prepared solely for informational and educational purposes and does not constitute an offer or a recommendation to buy or sell any particular security or to adopt any specific investment strategy. NewEdge and its affiliates do not render advice on legal, tax and/or tax accounting matters. You should consult your personal tax and/or legal advisor to learn about any potential tax or other implications that may result from acting on a particular recommendation. The trademarks and service marks contained herein are the property of their respective owners. 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