01

Audit Your Proprietary Data Assets

Map every proprietary data source. This is what you’ll fine-tune on. Companies without data strategy will be commoditized.

Source: Data as Sovereign Asset
02

Declare AI-First from the Top

CEO declares AI adoption non-optional. Identify early adopters getting 10–100x results, make visible.

Source: Top-Down + Bottom-Up
03

Build the Flywheel

Design virtuous cycle: AI improves product, generates data, improves AI. Map how each component feeds the next.

Source: Virtuous Flywheel
04

Map Your Complexity Curve

What does this look like with 2x better models? 10x? If it doesn’t improve, it’ll be commoditized.

Source: Complexity Curve
05

Put Trust Ahead of Features

Ensure trust infrastructure before capabilities. Privacy, transparency, user controls.

Source: Trust > Technology
06

Merge Research and Product

Kill the handoff model. Technical and product talent sit together, share accountability.

Source: Research-Product Tandem
07

Hire for Intrinsic Motivation

“Soul investment” as hiring criterion. Probe for identity-quality connection.

Source: Hire People Who Give a Damn
08

Build Scenario Plans

Wang’s biggest gap. Pre-mortems, red teams, contingency plans. Make strategy resilient.

Source: Improving on Wang
“The biggest thing is you just have to really really really care.”
Alexandr Wang