While there's a popular narrative about a US manufacturing resurgence, the massive capital spending on AI contradicts it. By consuming a huge portion of available capital and accounting for half of GDP growth, the AI boom drives up the cost of capital for all non-AI sectors, making it harder for manufacturing and other startups to get funded.

There are no scalable, productive investments (e.g., factories, real estate) offering attractive returns, as many physical assets trade below replacement cost. This surplus capital, with nowhere to go, is funneled into speculative bubbles like AI, creating a 'fake' economy.

Economic downturns, while painful, serve a vital function in tech hubs. They purge the ecosystem of 'tourists' and status-driven individuals who aren't truly committed. This leaves behind a core of dedicated builders, resetting the culture and creating better investment opportunities.

The best time to launch a company is at the bottom of a recession. Key inputs like talent and real estate are cheap, which enforces extreme financial discipline. If a business can survive this environment, it emerges as a lean, resilient "fighting machine" perfectly positioned to capture upside when the market recovers.

Founders face a strategic trade-off depending on the market cycle. In a hot market, capital is abundant but competition for user attention is fierce. In a quiet market, capital is scarce, but it's easier for a quality product to stand out and get noticed.

The traditional, long-term venture capital cycle may be accelerating. As both macro and technology cycles shorten, venture could start mirroring the more frequent 4-5 year boom-and-bust patterns seen in crypto. This shift would force founders, VCs, and LPs to become more adept at identifying where they are in a much shorter cycle.

Widespread credit is the common accelerant in major financial crashes, from 1929's margin loans to 2008's subprime mortgages. This same leverage that fuels rapid growth is also the "match that lights the fire" for catastrophic downturns, with today's AI ecosystem showing similar signs.

While low rates make borrowing to invest (leverage) seem seductive, it's exceptionally dangerous in an economy driven by debt management. Abrupt policy shifts can cause sudden volatility and dry up liquidity overnight, triggering margin calls and forcing sales at the worst possible times. Wealth is transferred from the over-leveraged to the liquid during these resets.

The immense profitability of real estate in China created a gravitational pull for capital and talent. Productive companies diverted resources to start real estate side-businesses, and entrepreneurs abandoned other sectors, resulting in a net drag on national productivity and innovation.