Travis Kalanick intentionally cut prices to trigger a growth flywheel: lower fares led to more riders, which attracted more drivers, enabling even lower prices. This strategy didn't just steal share from taxis; it fundamentally expanded the total addressable market for personal transportation.

Uber's competitive advantage over Lyft is reinforced by Uber Eats. By offering both ride-sharing and food delivery, it creates a stickier proposition for drivers who can maximize earnings. This flexibility ensures a more robust and reliable supply for Uber, strengthening its overall network effect.

The most significant weakness of a multi-component model isn't price sensitivity, but the deep customer resentment it fosters. This reputational damage is difficult to quantify on a balance sheet but leads to long-term customer churn and incentivizes users to find alternatives.

Dara Khosrowshahi credits Booking.com's focus on hotel supply for beating Expedia in Europe. He applied this hard-won lesson at Uber, prioritizing driver and restaurant supply as the primary growth engine, a shift from Expedia's previous demand-focused strategy.

Unprofitable AI models mirror Uber's early strategy. By subsidizing services, they integrate into workflows and create dependency. Once users rely on the tool (e.g., a law firm replacing an associate), prices can be increased dramatically to reflect the massive value created, ultimately achieving profitability.

Contrary to the common view, algorithms charging different prices based on a consumer's wealth can be beneficial for market efficiency. The real harm occurs when algorithms exploit a lack of information or behavioral biases, not simply when they adjust prices based on a person's ability to pay.

Early competitors failed because they tried to partner with existing taxi fleets, inheriting their inefficiencies. Uber's key strategic advantage was building a parallel system with non-taxi drivers, allowing it to scale frictionlessly and deliver a superior, technology-driven experience.

Contrary to the common advice to 'just raise your prices,' you should first increase client volume until your delivery system is strained. This process proves your product's value and operational scalability, giving you the confidence and justification to command higher prices.

Dominant aggregator platforms are often misjudged as being vulnerable to technological disruption (e.g., Uber vs. robo-taxis). Their real strength lies in their network, allowing them to integrate and offer new technologies from various providers, thus becoming beneficiaries rather than victims of innovation.