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.
Despite the allure of direct-to-consumer models after the JOBS Act, the only viable path to retail capital in private markets is through financial advisors at wirehouses and broker-dealers. This channel requires products with liquidity and specific registrations, a fundamentally different approach than institutional fundraising.
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.
The private markets industry is bifurcating. General Partners (GPs) must either scale massively with broad distribution to sell multiple products, or focus on a highly differentiated, unique strategy. The middle ground—being a mid-sized, undifferentiated firm—is becoming the most difficult position to defend.
Don't wait for AI to be perfect. The correct strategy is to apply current AI models—which are roughly 60-80% accurate—to business processes where that level of performance is sufficient for a human to then review and bring to 100%. Chasing perfection in-house is a waste of resources given the pace of model improvement.
Creating liquidity in private markets is not about better tech like blockchain. The core challenge is one of market structure: finding a buyer when everyone wants to sell. Without a mechanism to provide a capital backstop during liquidity shocks, technology alone cannot create a functional secondary market.
The business race isn't about humans versus AI, but about your company versus competitors who integrate AI more quickly and effectively. The sustainable competitive advantage comes from shrinking the cycle time from a new AI breakthrough to its implementation within your business processes and culture.
The primary leadership challenge in the AI era is not technical, but psychological. Leaders must guide employees away from a defensive, scarcity-based mindset ("AI is coming for my job") and towards a growth-oriented, abundance mindset ("AI is a tool to evolve my role"), which requires creating psychological safety amidst profound change.