Focusing only on trendy sectors leads to intense competition where the vast majority of startups fail. True opportunity lies in contrarian ideas that others overlook or dismiss, as these markets have fewer competitors.

The US startup ecosystem thrives not just on opportunity, but on the severe consequences of failure. Unlike Canada or Europe's stronger safety nets, this high-stakes environment creates immense pressure and motivation to achieve massive success.

The democratization of technology via AI shifts the entrepreneurial goalpost. Instead of focusing on creating a handful of billion-dollar "unicorns," the more impactful ambition is to empower millions of people to each build a million-dollar "donkey corn" business, truly broadening economic opportunity.

Contrary to popular belief and media portrayals of young tech founders, millennials are the generation least likely to start businesses. The fastest-growing demographic of American entrepreneurs is actually female minorities, such as Black and Latina women, who often build successful ventures without venture capital or mainstream recognition.

Modern definitions of entrepreneurship have narrowed to exclude most business owners, focusing on venture-backed disruptors. The original 18th-century definition was broader: anyone who accepts uncertain pay for a potential greater reward. The core elements are having the freedom to do the work you want while accepting the financial and emotional risk.

In a market with extreme growth outliers, the opportunity cost of supporting a slower-moving company is immense. This pressure causes both investors and founders to quit on ventures much earlier, seeking to redeploy capital and time into potential breakout hits.

Startup valuation calculators are systematically biased towards optimism. Their datasets are built on companies that successfully secured funding, excluding the vast majority that did not. This means the resulting valuations reflect only the "winners," creating an inflated perception of worth.

Aggregate venture capital investment figures are misleading. The market is becoming bimodal: a handful of elite AI companies absorb a disproportionate share of capital, while the vast majority of other startups, including 900+ unicorns, face a tougher fundraising and exit environment.

The dot-com era saw ~2,000 companies go public, but only a dozen survived meaningfully. The current AI wave will likely follow a similar pattern, with most companies failing or being acquired despite the hype. Founders should prepare for this reality by considering their exit strategy early.