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.

Despite the wide availability of powerful AI models, a sustainable edge in the zero-sum game of investing comes from a combination of unique, curated data sets, bespoke technology for scale, and the experienced human context to ask the right questions of the models.

As platforms like AlphaSense automate the grunt work of research, the advantage is no longer in finding information. The new "alpha" for investors comes from asking better, more creative questions, identifying cross-industry trends, and being more adept at prompting the AI to uncover non-obvious connections.

Traditional VC reliance on "differentiated networks" is obsolete as data sources and professional networks are now commodities. To compete, modern VCs must replace this outdated advantage with proprietary intelligence platforms that algorithmically source deals and identify the right signals for where to focus time.

Over the past two decades, equity analysis has evolved beyond simply valuing a company's physical or financial assets. The modern approach focuses on identifying "alpha" factors—trading baskets of stocks grouped by shared characteristics like strong balance sheets or non-US revenue exposure.

Fifteen years ago, investors could gain an edge through information asymmetry, like spotting an FDA approval before a press release. Today, with markets on a level playing field, success hinges on deep technical analysis of a drug's scientific viability, making it a specialist's game.

The proliferation of investing blogs has led to intense focus on US stocks. An analysis of popular sites showed 85% of ideas were US-based, with none from Australia or Japan. This saturation creates an information arbitrage opportunity for investors exploring less-covered international markets.

As information becomes commoditized by AI, durable investment edge will shift to understanding the complex interactions between geopolitics, technology, and global capital flows. This necessitates on-the-ground human networks that provide nuanced context unavailable in any dataset.

The information arbitrage that allowed early Buffett to thrive no longer exists. Universal access to data via the internet, Bloomberg, and AI has leveled the playing field, making it nearly impossible for any single investor to consistently find undervalued companies and generate his historical returns.