The next major investment model will be technology-driven. By using precise data to understand pacing, commitments, and liquidity needs, investors can significantly reduce their cash holdings. Moving from 5% to 3% cash by investing in a tech stack can boost overall portfolio returns by a full percentage point.

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Historically, investment tech focused on speed. Modern AI, like AlphaGo, offers something new: inhuman intelligence that reveals novel insights and strategies humans miss. For investors, this means moving beyond automation to using AI as a tool for generating genuine alpha through superior inference.

Recognizing the friction in accessing private markets, Apollo spent $1 billion from its balance sheet on wealth tech. This strategic investment aims to improve the underlying infrastructure for the entire industry, acknowledging that a better ecosystem benefits all participants, not just themselves.

After a decade of abundant "growth capex" building new infrastructure, the economic pendulum is swinging towards "maintenance capex." This creates a massive, overlooked opportunity for technologies that service existing assets, like predictive software, acoustic sensors, and remote repair robots.

Unlike the leverage-fueled dot-com bubble, the current AI build-out is funded by the massive cash reserves of big tech companies. This fundamental difference in financing suggests a more stable, albeit still frenzied, growth cycle with lower P/E ratios.

The world's most profitable companies view AI as the most critical technology of the next decade. This strategic belief fuels their willingness to sustain massive investments and stick with them, even when the ultimate return on that spending is highly uncertain. This conviction provides a durable floor for the AI capital expenditure cycle.

Technology's share of the economy will grow as it underpins every industry. Conversely, the services sector, which sells human intelligence for repetitive tasks, is fundamentally threatened by AI that can automate processes and commoditize expertise.

Cash-rich tech companies avoid owning data center infrastructure not due to a lack of funds, but because their capital yields far higher returns in core technology. They strategically outsource the lower-margin, stable infrastructure assets to specialized investors, optimizing their return on invested capital.

Instead of predicting short-term outcomes, focus on macro trends that seem inevitable over a decade (e.g., more e-commerce, more 3D interaction). This framework, used by Tim Ferriss to invest in Shopify and by Roblox for mobile, helps identify high-potential areas and build with conviction.

The emergence of venture capital as a major asset class was unlocked by the new ability to mathematically measure and price risk. Similarly, the current impact investing movement is being driven by our newfound technological capacity (via big data and computing) to quantify a company's social and environmental effects.

Current investment technology is like early GPS, capable of telling an investor what they own but not how to optimally reach their goals. The next evolution will be like Waze or Google Maps, providing dynamic navigation and optimization to meet future liabilities, unlocking significant value beyond simple portfolio transparency.

A "Tech Model" of Investing Will Supersede the "Yale Model" by Reducing Cash Drag | RiffOn