Waymo Expands to Sixth US City as the Autonomous Robotaxi Race Heats Up | Taha Abbasi

Waymo Expands to Its Sixth US City as the Robotaxi Race Intensifies

Waymo, the Alphabet-owned autonomous vehicle company, is expanding its commercial robotaxi service to its sixth US city, further extending its lead as the only company operating fully driverless ride-hailing at meaningful scale. The expansion, announced in late March 2026, builds on Waymo’s existing operations in San Francisco, Phoenix, Los Angeles, Austin, Atlanta, and now adds another major metropolitan area to its growing footprint.

This steady, city-by-city expansion stands in contrast to Tesla’s more ambitious but less proven approach to autonomous mobility. While Tesla is building the Cybercab and planning to launch its own robotaxi service, Waymo is already carrying paying passengers every day. The competitive dynamics between these two approaches will shape the future of urban transportation for decades.

Waymo’s Deliberate Expansion Strategy

Waymo’s approach to growth has been methodical, almost frustratingly so for investors who want faster scaling. Each new city launch involves months or years of detailed mapping, local testing, regulatory engagement, and infrastructure setup before any paying passengers are served. This process is expensive and time-consuming, but it has produced a safety record that no other autonomous vehicle operator can match.

The company’s vehicles, which are custom-equipped Jaguar I-PACEs bristling with lidar, radar, and cameras, have now completed millions of fully driverless miles across multiple cities with zero at-fault fatalities. That safety record is the foundation of Waymo’s regulatory relationships, its insurance profile, and its ability to expand into new markets.

The challenge for Waymo has always been unit economics. Each vehicle costs well over $100,000 when fully equipped with sensors and compute hardware. The mapping and validation process for each new city requires significant upfront investment. And the operational costs of maintaining a fleet of complex, sensor-laden vehicles are higher than a traditional ride-hailing fleet.

Waymo’s parent company, Alphabet, has invested over $5 billion in the autonomous driving division, and the path to profitability remains unclear. The per-ride economics are improving as utilization increases and operational processes become more efficient, but the business has not yet demonstrated that it can generate positive unit economics at scale.

How Tesla’s Robotaxi Approach Differs

Tesla’s robotaxi strategy takes a fundamentally different approach to nearly every dimension of the problem. Where Waymo uses expensive, heavily sensored vehicles with detailed pre-mapped environments, Tesla plans to use its purpose-built Cybercab with a camera-only sensor suite and no pre-mapping requirement.

The camera-only approach is Tesla’s biggest technical bet. The company argues that human drivers navigate using vision alone, and that a sufficiently advanced neural network can do the same. This eliminates the need for expensive lidar sensors and reduces the vehicle cost dramatically. If the Cybercab can be produced for under $30,000 as Tesla claims, the unit economics of a Tesla robotaxi fleet would be fundamentally different from Waymo’s.

The no-pre-mapping advantage is also significant. Waymo’s vehicles rely on detailed 3D maps of every street they operate on, which must be created, validated, and maintained for each city. This creates a geographic bottleneck. Tesla’s vision-based system is designed to drive anywhere, without prior mapping, which in theory allows much faster geographic expansion.

The tradeoff is that Tesla’s approach is less proven. Waymo has millions of miles of safe driverless operation to point to. Tesla has millions of miles of supervised FSD data, but no demonstrated driverless operation at any scale. The Cybercab testing at Giga Texas is promising, but commercializing a fully autonomous service is a massive leap from factory test drives.

The Regulatory Landscape

Regulation continues to be one of the most significant variables in the robotaxi race. The US regulatory environment is a patchwork of state-level rules with minimal federal guidance. California, Arizona, and Texas have been relatively permissive in allowing autonomous vehicle testing and limited commercial operations. Other states have been more cautious.

Waymo has navigated this landscape more successfully than any competitor, securing permits to operate commercial driverless services in multiple states. The company’s extensive safety data and cautious expansion approach have earned it credibility with regulators that is difficult to replicate quickly.

Tesla faces a different regulatory challenge. The company’s consumer FSD product has been subject to multiple NHTSA recalls, and the gap between “supervised driver assistance” and “unsupervised autonomous taxi” is enormous from a regulatory perspective. Tesla will need to demonstrate a level of safety and reliability with the Cybercab that goes well beyond what the current FSD product delivers.

Some analysts believe that Tesla’s regulatory path may actually be easier in markets outside the US, where autonomous vehicle regulations are being written from scratch rather than adapted from existing frameworks. China, the UAE, and several European countries have shown interest in fast-tracking autonomous vehicle deployment, and Tesla’s global manufacturing footprint gives it the ability to enter these markets relatively quickly.

The Consumer Experience Comparison

For passengers, the robotaxi experience is becoming increasingly refined. Waymo riders in San Francisco and Phoenix report generally positive experiences, with clean vehicles, smooth driving, and reasonable wait times. The novelty factor has worn off for regular users, and the service is increasingly viewed as a practical transportation option rather than a tech curiosity.

Tesla’s robotaxi service does not yet exist for passengers, but the company has described a vision where Tesla owners can add their personal vehicles to the robotaxi network when not in use, generating passive income. The Cybercab would serve as the dedicated fleet vehicle for areas where owner-supplied vehicles are insufficient. This hybrid model, if it works, could give Tesla a massive fleet advantage without the capital expenditure of purchasing and deploying every vehicle itself.

The reality of the owner-supplied fleet model has always been debated. Questions about insurance liability, vehicle wear and tear, interior cleanliness, and the willingness of owners to actually share their vehicles remain unanswered. Tesla has been discussing this concept since at least 2019, and the practical implementation details have never been fully addressed.

Investment Implications

The robotaxi market represents one of the largest potential value creation opportunities in the global economy. Morgan Stanley has estimated the total addressable market for autonomous mobility at over $10 trillion by 2035. Even a small share of that market would be transformational for any company that captures it.

For investors, the choice between Waymo (via Alphabet stock) and Tesla represents a bet on different technology approaches, different business models, and different risk profiles. Waymo offers a proven but expensive approach with a clear safety record and a long path to profitability. Tesla offers a potentially cheaper and more scalable approach that has not yet been demonstrated in commercial operation.

The most likely outcome is that both approaches find their market. Waymo may dominate dense urban environments where detailed mapping and sensor redundancy provide meaningful safety advantages. Tesla may excel in suburban and highway environments where the camera-only approach is sufficient and the lower vehicle cost provides a competitive edge. The robotaxi future probably is not winner-take-all. It is a market large enough for multiple successful players.

Taha Abbasi tests autonomous vehicles in real-world conditions and covers the robotaxi industry. Subscribe to his YouTube channel for hands-on driverless vehicle testing.

Related reading: Tesla Cybercab Production at Giga Texas