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Uber Partners With Zipline To Expand Drone Delivery On Uber Eats

Uber is adding Zipline’s drones to its Uber Eats network as the companies look to scale drone deliveries across the U.S. The partnership also includes an investment from Uber, although the companies did not disclose its size.

The first Zipline deliveries through Uber Eats are expected by the end of 2026 in markets where the drone company already operates. The partners eventually aim to expand the service to dozens of U.S. cities and reach as many as 1 million drone deliveries per day by the end of 2029.

Uber Expands Its Autonomous Delivery Strategy

The deal is part of Uber’s broader strategy of partnering with multiple companies developing autonomous transportation technologies. Rather than building all of these systems itself, the company has invested in and added outside providers to its platform.

Uber has followed a similar approach with autonomous vehicles, committing billions of dollars to partnerships across the sector. The strategy allows the company to expand into emerging technologies without developing every system internally.

Drone delivery is not new territory for Uber. The company previously explored the technology through its former Uber Elevate division and returned to the market last year through a partnership and investment in Israeli startup Flytrex.

Faster Deliveries, Bigger Market

Uber expects Zipline’s drones to complete some Uber Eats orders within five to 10 minutes. CEO Dara Khosrowshahi said the company sees rapid delivery as a potential driver of the next phase of growth for Eats.

For Zipline, the partnership provides access to Uber’s large customer and delivery network. The San Francisco-based company recently raised $800 million in an extended Series H round, bringing its valuation to $7.6 billion.

The companies now plan to combine Zipline’s drone technology with Uber Eats’ platform as they work toward making autonomous aerial delivery available to millions of customers.

Meta’s $18 Billion Settlement Limits State Claims Over Children’s Data

Meta’s $18 billion settlement with attorneys general from 29 U.S. states includes a provision limiting future state claims over the company’s use of children’s data for age-assurance systems.

Under the agreement, Meta must develop, train and begin testing a system to identify users under 13 within a year of the settlement taking effect. The company already uses AI-based age-detection tools, although the agreement does not require the new system to use AI.

States Agree To Limits On Future Claims

The Children’s Online Privacy Protection Act (COPPA) generally restricts the collection and retention of personal data from children under 13. Under the settlement, the 29 state attorneys general agreed not to bring past, present or future claims under COPPA or similar state laws over the specified use of children’s data.

Meta will not be permitted to use information from users under 13 for advertising, marketing or algorithmic optimisation.

Federal Enforcement Remains Unclear

COPPA is primarily enforced by the Federal Trade Commission, which is not a party to the agreement. That leaves open the possibility of separate federal action over how Meta collects or uses children’s data.

Another issue is whether Meta can keep age-assurance data isolated from its other systems. An independent auditor will monitor compliance, but the settlement does not fully specify what data Meta can retain for training, how long it can be stored or whether derived insights can be used elsewhere.

Legal Risks Remain

Joshua Wurtzel, a partner at Schlam Stone & Dolan, said states could still pursue claims if Meta uses the data outside the settlement’s limits. Such cases could depend on how those limits are interpreted.

Peter Jackson, a data and intellectual property attorney at Greenberg Glusker, said the provision could “disincentivize future enforcement actions.”

The agreement gives Meta greater legal certainty around using children’s data for age assurance, but questions remain over federal enforcement, data retention and secondary use.

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