Start-up Outlook – 2026
As we’ve said before there’s no better today than today to start working on a great new start-up idea. Nevertheless, entrepreneurs are naturally curious about what the environment for start-ups will be like this year.
As Zen Buddhism has long preached, the only certainty in life is change. So, with the caveat that “Black swan” events, like the 2008 financial crisis, Covid-19 will always surprise us, here’s the situation so far in 2026:
Venture capital investments are beginning to gather steam again, after a long period of retrenchment, the Federal Reserve has begun cutting interest rates again (.25 basis points in February), and while this has been modest so far, it may signal a new era of “easier money” is upon us.
Series A Rounds (meaning the first rounds of Venture Capital financing) have reached a new high of over $50,000,000.
The emphasis on AI-related innovation has continued in the early days of 2026, with AI startups enjoying about a 50% valuation premium over all other sectors. Other sectors, like some software, are seeing declines. Analysts are referring to this as a “K-shaped” growth curve.
“AI Infrastructure” start-ups, in particular, are receiving an outsized share of investments.
Agentic AI, or AI that performs tasks by itself (“autonomously”) is also receiving an outsized share of investment interest in early 2026, with experts arguing that agents will become so significant, they will soon exceed human web traffic.
Pure software has experienced a “flash crash,” reverberating through the stock market, as investors realize that software may become exceedingly easy for a wide array of owners to produce it.
Robotics are just starting to gain renewed interest, due to its likelihood of being supercharged by AI, with Elon Musk going on the lecture circuit for Tesla’s Optimus project. Much like with Agentic AI, Elon predicts that robots will outpopulate people, many times over, almost immediately – think, within a few years, not a decade.
AI infrastructure businesses are sometimes called “picks and shovels”, harkening to suppliers of gear during the gold rush in the 1800’s. While many gold miners struck out, the companies that succeeded in any case, due to the existence of the gold rush alone. Incidentally, one of those successful “picks and shovels” entrepreneurs during the gold rush was none other than President Trump’s grandfather, Friedrich Trump, and we know the rest on how that turned out. And, some say that there will be more AI agents talking to other AI agents than people talking to people, in the future. That may sound crazy, but when you consider home appliances talking to each other, alone, we each have more than one appliance. So, the argument seems unassailable.
For decades now, Silicon Valley wanted almost nothing to do with hardware, because software has such lower costs, making a software company lower risk, and higher margin. Ironically, now that software has made that cost even lower, the interest is waning. Attractive as low costs usually are, there has to be some barrier to entry for competitors to make a business viable -- a “moat” around a business. If everyone can make great software in a split second with a button push, there is no moat. And the value of software, as a product and businesses become commoditized, dropping down to the price of AI computation.
The similarity of how all LLMs operate may make software very normalized, widely-distributed and interchangeable. In this era of “low moat” or “no moat” from mere market participation and user sequestration, having intellectual property protection around your core ideas is more important than ever. Where anyone can make products exceedingly quickly, all you have is your IP. We realize we are saying this from the standpoint of an IP company that helps clients developing AI and software, but this is the trend toward IP, has been observed in leading studies.
So, the start-up outlook for 2026 is still extremely positive, and, perhaps not surprisingly, AI-focused. IP is poised to become the primary asset for businesses in the upcoming era of ubiquitous AI.
