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Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Market Capitalization:3 093 730 979 922,8 USD
Vol. in 24 hours:82 878 112 972,28 USD
Dominance:BTC 58,51%
ETH:12,07%
Yes

DoorDash AI Scam: Alarming Case Shows Driver Using AI-Generated Images to Pretend Deliveries

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DoorDash AI Scam: Alarming Case Shows Driver Using AI-Generated Images to Pretend Deliveries

Incident Overview

On January 4 2026 DoorDash permanently banned a driver after an AI‑generated photo was used to fake a delivery in Austin, Texas. Customer Byrne Hobart saw his order marked delivered without any package arriving and the driver submitted an image showing a bag at his front door. The claim went viral on X, prompting DoorDash’s swift response. This case is the first widely reported instance of AI‑image fraud on a gig‑platform.

Technical Method

The alleged scam combined a genuine photo of the customer’s residence with AI software that overlaid a delivery bag. Experts say the driver likely reused a prior delivery image, employed readily available generators, and marked the order immediately, bypassing any real drop‑off. Some observers suspect a compromised or jail‑broken driver account, though DoorDash has not confirmed technical details.

Platform & Industry Implications

Traditional photo verification is now vulnerable as AI tools become inexpensive, exposing a systemic risk for on‑demand services. Consumer complaints rose 34 % in Q3 2025, indicating broader concerns about gig‑economy fraud. Analysts warn that all platforms relying on user‑submitted images must strengthen security to protect trust.

Response and Future Measures

DoorDash removed the dasher’s account, refunded the customer, and emphasized its zero‑tolerance policy. Companies are testing live‑video proof, geolocation checks, image‑metadata analysis, and blockchain records to combat AI fraud. Regulators are beginning to explore legislation, but enforcing rules against rapidly evolving AI deception remains a challenge.