Last mentioned: Mar 26, 2026
Tokyo Trial Announced
Uber, Nissan, and Wayve announce a joint robotaxi pilot program in Tokyo.
Nationwide Rollout
Uber officially expands the Women Rider Preference feature to all drivers in the United States.
U.S. Regional Testing
The feature is introduced in select U.S. cities to gauge driver interest and legal feasibility.
Wayve Series C
Wayve raises $1.05 billion in funding led by SoftBank to scale its AI technology.
Initial Pilots
Uber tests women-only matching in international markets like Brazil and South Africa.
Uber Shifts Strategy
Uber sells its self-driving unit ATG to Aurora, pivoting to a partnership-based AV model.
Wayve Founded
AI startup Wayve is established in London, focusing on end-to-end deep learning for AVs.
Uber is partnering with Nissan and UK-based AI firm Wayve to launch a robotaxi trial in Tokyo, marking a significant expansion of autonomous ride-hailing in Japan. The collaboration leverages Nissan's vehicle platforms and Wayve's 'embodied AI' technology to navigate one of the world's most complex urban environments.
Uber has officially expanded its Women Rider Preference feature across the entire United States, allowing women and non-binary drivers to prioritize requests from female passengers. This nationwide rollout aims to increase the number of female drivers on the platform by addressing long-standing safety concerns and personal comfort.
Jim Cramer has issued a definitive endorsement of Uber, characterizing the mobility and delivery giant as a company poised for global dominance. This sentiment reflects Uber's successful transition into a diversified platform that integrates ride-hailing, logistics, and high-margin advertising.
This page surfaces every story mentioning Uber across our retail coverage. We track each entity's appearance over time so readers can trace how the narrative evolves — which developments are isolated incidents, which build into longer arcs, and which reframe how operators in the space think about the entity. Story selection uses the same multi-source verification gate applied across the rest of our coverage.
Read our editorial methodology for how we identify, deduplicate, and score entity references. Our glossary defines the technical terms used across stories on this page, and our trends index contextualizes individual developments against the longer-running retail beat. Cross-entity comparisons live on our compare view.
| What you see | What it tells you |
|---|---|
| Story count | Number of distinct stories where Uber was a primary or referenced actor. |
| Recency clustering | Whether mentions are concentrated in a recent window (a news cycle) or distributed (a sustained arc). |
| Sentiment distribution | Aggregate sentiment of the stories mentioning this entity, weighted by impact score. |
| Cross-niche links | When the same entity surfaces in our sibling networks, we link to those views to enrich context. |