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Uber says AI agents placed just 500 Eats orders in its biggest week ever

According to a post on X by @ZacharyDeWitt, his read of Uber's earnings call says AI agents placed 500 Uber Eats orders and booked 4 rides during a week with 320 million total trips. The post quotes the CFO describing this agent activity as "very, very early and very limited traction." The snippet is truncated, so the full context of the call is not available here, and the figures come from the post's account of the call rather than a transcript.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-11-09T23:50:00+00:00 Detected 2026-11-10T10:17:23+00:00
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According to a post on X by @ZacharyDeWitt, his read of Uber's earnings call says AI agents placed 500 Uber Eats orders and booked 4 rides during a week with 320 million total trips. The post quotes the CFO describing this agent activity as "very, very early and very limited traction." The snippet is truncated, so the full context of the call is not available here, and the figures come from the post's account of the call rather than a transcript.

AI-assisted summary based on the listed source.

Per Zachary DeWitt's read of Uber's earnings call, AI agents placed 500 Uber Eats orders and booked 4 rides during a week with 320 million total trips, and the CFO called it "very, very early and very limited traction." Why it matters: It is a rare hard number showing consumer agent shopping is still tiny next to...

The numbers suggest that consumer shopping through AI agents is still a very small share of activity compared with normal app use, at least for this week. Businesses and investors tracking agentic commerce may want to watch whether Uber reports larger agent volumes in future earnings updates. The post itself describes this as a rare hard number on the topic.

Signal Strength 86% Technical label WATCH Public Interest 22 Category DEVELOPING Reader Depth GENERAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 16 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Agents, connected to Scobleizer News Pulse (X).