With information now ubiquitous, the primary source of market inefficiency is no longer informational but behavioral. The most durable edge is "time arbitrage"—exploiting the market's obsession with short-term results by focusing on a business's normalized potential over a two-to-four-year horizon.

Contrary to conventional wisdom, the massive flow of capital into passive indexes and short-term systematic strategies has reduced the number of actors focused on long-term fundamentals. This creates price dislocations and volatility, offering alpha for patient investors.

Daniel Gladys argues that as passive investing grows, fewer participants focus on fundamentals. This widens the gap between a stock's price and its intrinsic value, creating a favorable environment for disciplined value investors who can identify these overlooked opportunities.

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.

An estimated 80-90% of institutional trading is driven by quant funds and multi-manager platforms with one-to-three-month incentive cycles. This structure forces a short-term view, creating massive earnings volatility. This presents a structural advantage for long-term investors who can underwrite through the noise and exploit the resulting mispricings caused by career-risk-averse managers.

The modern market is driven by short-term incentives, with hedge funds and pod shops trading based on quarterly estimates. This creates volatility and mispricing. An investor who can withstand short-term underperformance and maintain a multi-year view can exploit these structural inefficiencies.

David Kaiser of Methodical Investments posits a contrarian view on AI's market impact. Instead of creating perfect efficiency, he argues AI and the data it processes might actually create more mispricings and inefficiencies. This provides opportunities for disciplined, rules-based strategies that don't constantly adapt to short-term noise.

Contrary to classic theory, markets may be growing less efficient. This is driven not only by passive indexing but also by a structural shift in active management towards short-term, quantitative strategies that prioritize immediate price movements over long-term fundamental value.

The dominance of passive, systematic investing has transformed public equities into a speculative "ghost town" driven by algorithms, not fundamentals. Consequently, financing for significant, long-term industrial innovation is shifting to private markets, leaving public markets rife with short-term, meme-driven behavior.