Is a Toll Collector job safe from AI?

Only partly. A Toll Collector scores 43/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.

When will AI be able to do a Toll Collector's job?

Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~4.1 years (2030). That projects the capability — actual adoption usually lags it.

How accurate is the Toll Collector AI-risk score?

It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

A Toll Collector carries a 43/100 AI replacement risk (medium). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~95% is automation vs 5% augmentation. Capability clock: ~4.1 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)

Will AI replace a Toll Collector?

AI replacement risk: 43/100 (medium risk). Moderate exposure — AI automates routine parts; judgment and relationships remain human.

Timeline: 2030–2034. Of the exposed work, roughly 95% is likely to be automated and 5% augmented. $73.1M/yr of US wages sit in highly-exposed work for this role.

AI/software exposure: 42%. Robot/physical-automation exposure: 61%.

Capability clock: AI's measured task horizon reaches this role's core complexity (~15189.7h of human work) ~4.1 years (2030) — projected from METR's ~4.3-month doubling.

Pressure Index: 33/100 (low) — blends risk, demand trend, and real-world evidence. Job postings up 4% vs 2020.

AI tools targeting this role

Aurora Driver — autonomous long-haul driving
Samsara — AI fleet routing and dispatch optimization

Layoff signal: moderate — Autonomous and optimization technology is advancing, though most driving roles remain stable for now.

Tasks at risk

Routine documentation and reporting — AI drafts and formats standard documents for a Toll Collector automatically.
Information lookup and summarization — LLMs retrieve and summarize the references a Toll Collector relies on in seconds.
Repetitive, rules-based tasks — Predictable parts of a Toll Collector’s workflow are increasingly automated.

Tasks that still need a human

Judgment in ambiguous situations — A Toll Collector still applies human judgment where rules run out.
Relationships and accountability — Trust and responsibility in a Toll Collector’s role stay human.

Skills that protect you

Work alongside AI tools — A Toll Collector who directs AI outperforms one who competes with it.
Specialize and deepen expertise — Harder-to-automate niches protect a Toll Collector.
Communication and stakeholder skills — The human side of a Toll Collector’s job is the durable part.

Safer adjacent careers

Flight Attendant (13%) · Airline Pilot (25%) · Tugboat Operator (26%) · Helicopter Pilot (26%)

Frequently asked questions

Will AI replace Toll Collectors?: A Toll Collector carries a 43/100 AI replacement risk (medium). AI can already handle routine documentation and reporting; Judgment in ambiguous situations still needs a person. Of exposed work, ~95% is automation vs 5% augmentation. Capability clock: ~4.1 years (2030). (ReplacedYet AI-Risk Index, 2026 data.)
Is a Toll Collector job safe from AI?: Only partly. A Toll Collector scores 43/100 (medium risk). AI can already handle a meaningful share of the tasks, so the safest path is shifting toward the judgment, relationship, and oversight parts of the role.
When will AI be able to do a Toll Collector's job?: Based on AI's measured task-completion horizon (METR, doubling ~every 4.3 months), AI reaches this role's core complexity ~4.1 years (2030). That projects the capability — actual adoption usually lags it.
How accurate is the Toll Collector AI-risk score?: It's a transparent, computed estimate — directionally useful, not a guarantee. It blends six labor and AI-exposure signals (O*NET, BLS, Eloundou task exposure, AIOE, the Anthropic Economic Index, and physical-automation data). See the methodology page for the full formula.

Category: Transportation · Methodology · Download the dataset

ReplacedYet AI-Risk Index. Last updated 2026-06-27. AI-estimated and directionally useful, not a guarantee.