The current tech landscape is not a universally rising tide. While investor enthusiasm buoys AI-native companies, the disruptive threat of large language models is simultaneously depressing valuations and venture capital interest for traditional software companies whose business models are now at risk.

The VC market is obsessed with AI companies showing "zero to 100 in a year" growth. This creates a blind spot for high-quality, traditional software companies. A business growing 5x annually is a fantastic investment by any historical standard but now struggles for attention.

Investors' obsession with companies growing "from zero to 100 in a year" has led them to neglect fundamentally strong enterprise software businesses. This creates an arbitrage opportunity for those willing to back solid companies with great, albeit not exponential, growth in large markets.

Money is not created, but recycled. When a sector like AI becomes hot, capital flows out of previously favored sectors like SaaS. This creates opportunities for contrarian investors to buy high-quality but now unpopular businesses at depressed prices before the cycle turns again.

The extreme market concentration in AI stocks might not end in a tech crash. An alternative is that other sectors like financials, industrials, and energy will "catch up" as they benefit from the massive capital expenditure required to build out AI infrastructure, broadening market performance.

Long-term returns are a function of capital supply and demand. Hyped areas like AI have a surplus of capital, competing returns down. True opportunities lie in being the "one banker for 1,000 borrowers"—investing in areas starved for capital, where your money commands a higher expected return.

While capital chases obvious AI plays, significant opportunities exist in overlooked sectors. For example, life science tools are poised to benefit from two major trends: AI-driven drug discovery and the reshoring of pharmaceutical manufacturing. This makes the space a potential "AI winner" hiding in plain sight.

The focus on AI among institutional investors is so absolute that promising non-AI companies risk "dying of neglect" and being unable to secure follow-on funding. This creates a potential opportunity gap for angel investors to fund valuable businesses in overlooked sectors.

The AI investment case might be inverted. While tech firms spend trillions on infrastructure with uncertain returns, traditional sector companies (industrials, healthcare) can leverage powerful AI services for a fraction of the cost. They capture a massive 'value gap,' gaining productivity without the huge capital outlay.