Delivery truck drivers and driver/sales workers

Handle paperwork such as receipts and delivery confirmation notices

Paperwork handling including receipts, delivery confirmations, and documentation is highly automatable through digital systems, OCR, electronic signatures, and automated record-keeping. Most delivery companies have already digitized these workflows, with AI handling data entry, verification, and routing with minimal human input.

BLS evidence: Delivery truck drivers and driver/sales workers handle paperwork, such as receipts or delivery confirmation notices.

Determine optimal delivery routes to reach destinations on schedule

Route optimization is a well-established AI capability with mature algorithms that handle traffic patterns, delivery windows, and multi-stop efficiency. Modern logistics software already automates this task end-to-end, with drivers typically following AI-generated routes rather than planning their own.

BLS evidence: Most drivers generally receive instructions to go to a delivery location at a particular time, and it is up to them to determine the best route.

Report road incidents and mechanical problems to dispatchers or appropriate personnel

Reporting incidents and mechanical problems can be largely automated through telematics, vehicle sensors, and AI-powered incident detection systems that automatically alert dispatchers. Voice-to-text and structured reporting apps enable quick automated logging, though complex incident descriptions may still benefit from human narration.

BLS evidence: Drivers report any incidents they encounter on the road to a dispatcher and report mechanical problems to the appropriate personnel.

Accept payments for delivered goods and services

Payment acceptance is increasingly automated through digital payment systems, contactless transactions, and automated invoicing. AI-powered systems can handle transaction processing, verification, and record-keeping with minimal human involvement, though some cash transactions and dispute resolution still require human presence.

BLS evidence: Delivery truck drivers and driver/sales workers accept payments for delivery, and some receive tips in addition to hourly wages.

Communicate with customers to determine pickup and delivery needs

AI can handle routine scheduling communications via chatbots and automated systems, but many customer interactions require real-time problem-solving for special requests, access issues, or ambiguous instructions that benefit from human judgment and relationship management in this service context.

BLS evidence: Delivery truck drivers and driver/sales workers typically communicate with customers to determine pickup and delivery needs.

Recommend products to businesses and solicit new customers

Product recommendation and new customer solicitation require reading social cues, building trust in face-to-face interactions, and adapting sales approaches to individual business contexts. While AI can suggest products, the in-person relationship-building and persuasion aspects of driver/sales work remain heavily human-dependent.

BLS evidence: Driver/sales workers recommend products to businesses and solicit new customers, and may be responsible for adding clients who are located along their route.

Follow applicable traffic laws while operating delivery vehicles

Following traffic laws while driving requires real-time perception, decision-making, and physical vehicle control in unpredictable environments with human drivers, pedestrians, and varied road conditions. This remains a core limitation of autonomous driving technology for general deployment in the near term.

BLS evidence: Delivery truck drivers and driver/sales workers typically follow applicable traffic laws.

Drive trucks weighing less than 26,001 pounds to deliver packages and shipments

Autonomous vehicle technology for delivery trucks exists but remains limited to controlled pilots and requires human oversight for safety-critical decisions in mixed traffic. Physical driving in unpredictable urban/suburban environments with varied weather, construction, and human drivers remains beyond reliable full automation in the 24-month window.

BLS evidence: They drive trucks weighing less than 26,001 pounds total for vehicle, passengers, and cargo to transport merchandise from a distribution center to businesses and households.

Load and unload cargo from delivery vehicles

Loading and unloading cargo requires fine motor skills, spatial reasoning in varied physical environments (stairs, tight spaces, irregular packages), and real-time adaptation to package conditions. Current robotics cannot reliably handle the diversity of cargo types, weights, and delivery locations (porches, loading docks, apartment hallways) that human drivers navigate.

BLS evidence: Delivery truck drivers and driver/sales workers typically load and unload their cargo, and when doing so, drivers do a lot of lifting, carrying, and walking.

Keep trucks and associated equipment clean and in working order

Cleaning trucks and maintaining equipment requires physical manipulation in varied spaces, assessing cleanliness standards, and performing basic mechanical checks and repairs. These tasks involve fine motor skills, physical presence, and adaptability to different vehicle conditions that current robotics cannot reliably automate.

BLS evidence: Delivery truck drivers and driver/sales workers keep their truck and associated equipment clean and in working order.