Elon Musk's newly approved trillion-dollar pay package is less about the money and more about securing 25% voting control of Tesla. He views Tesla's future not in cars but in humanoid robots, and he sought this control to direct the development of this potentially world-changing technology.

When investing in high-risk, long-development categories like autonomous vehicles, the key signal is undeniable consumer pull. Once Waymo became the preferred choice in San Francisco, it validated the investment thesis despite a decade of development and high costs.

As the operational cost of autonomous vehicles plummets, the business model will shift from fare-based revenue to advertising. By leveraging user data and AI like Grok, the car becomes a platform for hyper-targeted ads and commerce recommendations. This could eventually make rides free for consumers willing to engage with advertisers.

With a key government subsidy gone, Tesla is using a rental model as a 'try-before-you-buy' tactic. This shift indicates EV companies must now rely on creative sales funnels and direct product experience, rather than financial incentives, to convert hesitant customers.

Tesla's price cuts are not just a reaction to competition. They reflect the 'scaled economies shared' model, where cost savings from increased scale and vertical integration are passed to customers. This drives more volume, which in turn enhances the scale advantage in a virtuous, recursive cycle.

By eschewing expensive LiDAR, Tesla lowers production costs, enabling massive fleet deployment. This scale generates exponentially more real-world driving data than competitors like Waymo, creating a data advantage that will likely lead to market dominance in autonomous intelligence.

The evolution of Tesla's Full Self-Driving offers a clear parallel for enterprise AI adoption. Initially, human oversight and frequent "disengagements" (interventions) will be necessary. As AI agents learn, the rate of disengagement will drop, signaling a shift from a co-pilot tool to a fully autonomous worker in specific professional domains.

Musk's decisions—choosing cameras over LiDAR for Tesla and acquiring X (Twitter)—are part of a unified strategy to own the largest data sets of real-world patterns (driving and human behavior). This allows him to train and perfect AI, making his companies data juggernauts.

Tesla's latest master plan signals a philosophical pivot from mere sustainability to 'sustainable abundance.' The new vision is to leverage AI, automation, and manufacturing scale to overcome fundamental societal constraints in energy, labor, and resources, rejecting a zero-sum view of growth.