According to Travis Kalanick, trial lawyers and insurance companies are the main forces behind bad transportation regulations. He argues that insurance companies are not incentivized to eliminate accidents, as their business model relies on making a margin on predictable risk. More accidents, as long as they are priced correctly, mean higher premiums and a larger business.

The insurance industry acts as a powerful de facto regulator. As major insurers seek to exclude AI-related liabilities from policies, they could dramatically slow AI deployment because businesses will be unwilling to shoulder the unmitigated financial risk themselves.

As Full Self-Driving (FSD) and autonomous vehicles become widespread, the culture of driving will fundamentally shift. Prohibitive risk and insurance costs will make manual driving a rare, expensive hobby for enthusiasts, much like thoroughbred racing is today.

Catastrophic outcomes often result from incentive structures that force people to optimize for the wrong metric. Boeing's singular focus on beating Airbus to market created a cascade of shortcuts and secrecy that made failure almost inevitable, regardless of individual intentions.

A significant opponent to the adoption of autonomous vehicles is the trial lawyers' lobby. Their business model relies on accidents and injuries, so the increased safety of self-driving cars poses an existential threat to their revenue stream, leading them to actively lobby against the technology for nearly a decade.

A technology like Waymo's self-driving cars could be statistically safer than human drivers yet still be rejected by the public. Society is unwilling to accept thousands of deaths directly caused by a single corporate algorithm, even if it represents a net improvement over the chaotic, decentralized risk of human drivers.

Construction projects have limited upside (e.g., 10-15% under budget) but massive downside (100-300%+ over budget). This skewed risk profile rationally incentivizes builders to stick with predictable, traditional methods rather than adopt new technologies that could lead to catastrophic overruns.

Without clear government standards for AI safety, there is no "safe harbor" from lawsuits. This makes it likely courts will apply strict liability, where a company is at fault even if not negligent. This legal uncertainty makes risk unquantifiable for insurers, forcing them to exit the market.

Instead of competing in the high-risk race to build autonomous vehicles, Uber is creating the ecosystem around them. By offering services like insurance, data, and fleet support to all AV companies, Uber positions itself to profit regardless of which car manufacturer wins.