Artificial intelligence is transforming transportation faster than regulators, drivers, and even automakers can keep up. A new study by CR Legal examines how AI‑powered systems are reshaping road safety, where autonomous vehicles are succeeding, and where they are falling short. The findings reveal a transportation sector on the brink of major change, driven by rapid technological growth and equally rapid public concern.
The global AI transportation market is expanding at a remarkable pace. Valued at $2.12 billion in 2023, it is projected to reach $10.25 billion by 2033, growing more than 17 percent annually. Meanwhile, AI‑enabled autonomy is becoming a standard feature in new vehicles. According to industry data, 38 percent of cars on the U.S. market now include some level of autonomy, and by 2030, 15 percent of new cars may be fully autonomous.
But despite the momentum, public trust is moving in the opposite direction. A 2023 AAA survey found that 68 percent of Americans fear autonomous vehicles, up sharply from 55 percent the year before. CR Legal’s study explores whether those fears are justified.
AI’s Economic Upside: Lower Costs Across the Industry
AI is delivering measurable financial benefits across transportation sectors. Machine‑learning systems now optimize routes, reduce fuel consumption, and streamline maintenance.
Key findings include:
- 12 percent reduction in public transit operating costs
- 17.5 percent reduction in aviation maintenance costs
- 20 percent reduction in fuel use across logistics fleets
- 15 percent average reduction in transportation costs for companies using AI
- $60 billion in projected annual savings by 2030
Autonomous trucking companies report some of the most dramatic improvements. Operating costs for heavy‑duty trucks have dropped by as much as 42 percent for companies using autonomous systems. Robotaxi operators also stand to save significantly by eliminating driver salaries and improving fuel efficiency across 24‑hour fleets.
Robotaxi Safety: A Market Growing Faster Than Its Reliability
The robotaxi market is one of the fastest‑growing segments in autonomous transportation. Valued at $1.76 billion in 2022, it is expected to reach $98.59 billion by 2030, a 65.3 percent CAGR. But safety performance varies widely across companies.
CR Legal’s study highlights several key comparisons:
- Cruise autonomous taxis recorded one accident every 43,000 miles in 2023
- The national human‑driven average is one accident every 192,000 miles
- Tesla’s Full Self‑Driving vehicles performed far better, with 3.2 million miles per accident
- Human‑driven Teslas averaged 588,000 miles per accident
- Waymo vehicles averaged 476,000 miles per accident
These numbers show that while some autonomous systems outperform human drivers, others lag significantly behind.
The study also notes high‑profile incidents, including a Waymo vehicle blocking emergency responders during a mass‑shooting response in 2026. Such events highlight the risks of system failures in unpredictable environments.
Where Autonomous Crashes Are Concentrated
Between 2022 and 2025, autonomous and semi‑autonomous crashes were heavily concentrated in a few states. California led by a wide margin, followed by:
- Texas: 345 crashes
- Arizona: 341 crashes
- Florida: 213 crashes (191 involving semi‑autonomous systems)
Other states reported far fewer incidents, but adoption rates vary widely, influencing crash totals.
Projected Safety Gains: A Future With Fewer Crashes and Lower Emissions
Despite current challenges, long‑term projections suggest substantial safety improvements as autonomous technology matures.
CR Legal’s study highlights:
- Autonomous testing has reduced accidents from 9.1 to 4.6 per million miles
- 25 percent of fatal crashes are speed‑related, a factor automation could regulate
- By 2050, self‑driving cars could save 21,700 lives annually
- Automation could prevent 4.22 million accidents per year
- Traffic‑related problems could drop by 80 percent
- Emissions could fall by up to 90 percent
- Insurance premiums could drop by as much as 90 percent
- Private car ownership could decline by 45 percent
These projections suggest that autonomous vehicles could dramatically reshape mobility, safety, and environmental impact.
Levels of Autonomy: Most Vehicles Still Rely on Human Oversight
The study outlines the five recognized levels of vehicle autonomy, from Level 0 (no automation) to Level 5 (full automation). Most vehicles on the road today fall into Levels 1 and 2.
Key adoption milestones:
- By the end of 2025, 60 percent of new cars sold globally included Level 2 autonomy
- By 2030, Level 3 and Level 4 vehicles are expected to make up 8 percent of new sales
Full Level 5 automation remains years away, largely due to safety, regulatory, and infrastructure challenges.
Public Trust: The Biggest Obstacle to Adoption
Despite the rapid rollout of autonomous features, consumer trust remains low.
CR Legal’s study reports:
- Only 12 percent of Americans fully trust self‑driving technology
- 46 percent have zero trust
- 50 percent believe autonomous vehicles improve safety
- 73 percent are afraid to ride in a self‑driving vehicle
Still, trust is slowly improving. In 2022, only 9 percent of drivers said they would ride in a self‑driving car. By 2023, that number rose to 13 percent. Perceptions of safety are also shifting; in 2018, 55 percent believed autonomous cars would increase accidents. By 2021, that number fell to 27 percent.
Accident Trends: Semi‑Autonomous vs. Fully Autonomous
The study compares accident totals from 2022 to 2025 for both driver‑assistance systems and fully autonomous vehicles. Increases in crash numbers reflect the growing number of such vehicles on the road, not necessarily declining safety.
In 2024:
- Self‑driving crashes nearly doubled from 288 to 544
- Semi‑autonomous crashes rose 35 percent
The study emphasizes that both categories still represent a small fraction of total vehicles on U.S. roads.
The Future of AI in Transportation
CR Legal concludes that AI is already improving transportation safety and efficiency, but major challenges remain. System failures, unclear liability, and public skepticism continue to slow widespread adoption. As more cities test autonomous fleets and as technology improves, the industry may move closer to realizing the projected safety and economic benefits.
