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.

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.

As AI models democratize access to information and analysis, traditional data advantages will disappear. The only durable competitive advantage will be an organization's ability to learn and adapt. The speed of the "breakthrough -> implementation -> behavior change" loop will separate winners from losers.

Previously, data analysis required deep proficiency in tools like Excel. Now, AI platforms handle the technical manipulation, making the ability to ask insightful business questions—not technical skill—the most valuable asset for generating insights.

The initial experience of using a powerful AI tool is one of immense personal empowerment. This feeling is quickly tempered by the realization that this capability is now universally accessible, effectively devaluing the specialized skill and diluting the individual's competitive advantage.

The number of public companies has nearly halved since the 90s, concentrating capital into fewer assets. This scarcity, combined with passive funds locking up float, creates structural imbalances. Sophisticated retail traders can now identify these situations and trigger gamma squeezes, challenging institutional dominance.

AI can quickly find data in financial reports but can't replicate an expert's ability to see crucial connections and second-order effects. This leads investors to a false sense of security, relying on a tool that provides information without the wisdom to interpret it correctly.

Dalio envisions a future where AI platforms provide sophisticated tools directly to individual portfolio managers, much like Uber's technology empowers individual drivers. This will enable talented managers to operate independently, challenging the current multi-strat model that aggregates PMs within one firm.

AI will make the production of investment memos and rote analysis functionally free. The role of an investment analyst will therefore evolve from creating this content to prompting, steering, and quality-assuring the output of AI agents. The job becomes about evaluation and verification, not initial generation.