Contrary to popular belief, the market may be getting less efficient. The dominance of indexing, quant funds, and multi-manager pods—all with short time horizons—creates dislocations. This leaves opportunities for long-term investors to buy valuable assets that are neglected because their path to value creation is uncertain.

The key to emulating professional investors isn't copying their trades but understanding their underlying strategies. Ackman uses concentration, Buffett waits for fear-driven discounts, and Wood bets on long-term innovation. Individual investors should focus on developing their own repeatable framework rather than simply following the moves of others.

Contrary to the belief that number two players can be viable, most tech markets are winner-take-all. The market leader captures the vast majority of economic value, making investments in second or third-place companies extremely risky.

The massive IPO success of More Threads, founded by a former NVIDIA executive, highlights immense domestic investor enthusiasm for creating a homegrown alternative to NVIDIA, backed by unprecedented government capital and political will.

Beyond the US-China rivalry, a new front is opening between Brussels and Beijing. Incidents like the French suspension of fashion retailer Shein are not isolated but symptomatic of growing European mistrust and a willingness to take action. This signals a potential fracturing of global trade blocs and increased regulatory risk for Chinese firms in the EU.

The real long-term threat to NVIDIA's dominance may not be a known competitor but a black swan: Huawei. Leveraging non-public lithography and massive state investment, Huawei could surprise the market within 2-3 years by producing high-volume, low-cost, specialized AI chips, fundamentally altering the competitive landscape.

While large firms like NVIDIA can onshore manufacturing, small hardware startups relying on Chinese production are the primary casualties of tariffs. They lack the scale to move supply chains or secure exemptions, eroding their margins and weakening their negotiating position with investors.

The exceptionally low cost of developing and operating AI models in China is forcing a reckoning in the US tech sector. American investors and companies are now questioning the high valuations and expensive operating costs of their domestic AI, creating fear that the US AI boom is a bubble inflated by high costs rather than superior technology.

The increased volatility and shorter defensibility windows in the AI era challenge traditional VC portfolio construction. The logical response to this heightened risk is greater diversification. This implies that early-stage funds may need to be larger to support more investments or write smaller checks into more companies.