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.RCI · Robotaxi Confidence Index 50.9 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 36.4 ▲ +0.7 .ATCI · Autonomous Trucks Confidence Index 40.7 ▼ +0.3 .DCI · Delivery Bots Confidence Index 54.9 ▼ +0.4 Baidu Apollo GoCN 80.9 ▲ +2.0 WaymoUS 77.3 ▲ +0.2 Starship TechnologiesEE 74.4 ▲ +8.5 NeolixCN 63.1 ▲ +2.4 Pony.aiCN 61.2 ▼ -4.8 Serve RoboticsUS 59.8 ▲ +1.2 WeRideCN 57.3 ▲ +2.7 KodiakUS 56.4 ▲ +1.2 CocoUS 55.9 ▼ -4.5 Applied IntuitionUS 48.5 ▲ +11.0 AuroraUS 48.5 ▼ -1.9 Didi Autonomous DrivingCN 47.4 ▼ -2.4 TeslaUS 43.0 ▼ -1.1 Cao Cao MobilityCN 42.7 ▲ +1.4 Volvo Autonomous SolutionsSE 41.6 ▼ -1.1 MobileyeIL 39.2 ▲ +10.8 DeepRoute.aiCN 39.0 ▲ +4.7 WaabiCA 38.6 ▲ +9.2 XPengCN 37.0 ▼ -2.2 ZooxUS 35.7 ▼ -3.0 Bot AutoUS 35.7 ▲ +5.5 MeituanCN 35.1 ▼ -11.5 DoorDash DotUS 33.7 ▼ -1.3 MomentaCN 33.1 ▲ +4.3 May MobilityUS 32.6 ▼ -1.4 MotionalUS 31.9 ▼ -0.9 MOIA AmericaDE 29.6 ▲ +1.5 Avride PodUS 29.2 ▼ -5.0 AvrideUS 28.3 ▼ -1.6 TorcUS 28.1 ▼ -5.4 WayveGB 28.0 ▲ +0.1 VerneHR 24.3 ▲ +1.7 Tensor AutoUS 22.4 ▲ +6.6 Stack AVUS 22.1 ▲ +0.2 AutobrainsIL 21.8 ▼ -0.3 NuroUS 18.6 ▼ -0.8 PlusAIUS 17.8 ▼ -1.1 Helm.aiUS 17.5 ▼ -0.1 HUMAINSA 2.1 – 0.0 .RCI · Robotaxi Confidence Index 50.9 ▲ +0.1 .ADLCI · Autonomous Driving Licensing Confidence Index 36.4 ▲ +0.7 .ATCI · Autonomous Trucks Confidence Index 40.7 ▼ +0.3 .DCI · Delivery Bots Confidence Index 54.9 ▼ +0.4 Baidu Apollo GoCN 80.9 ▲ +2.0 WaymoUS 77.3 ▲ +0.2 Starship TechnologiesEE 74.4 ▲ +8.5 NeolixCN 63.1 ▲ +2.4 Pony.aiCN 61.2 ▼ -4.8 Serve RoboticsUS 59.8 ▲ +1.2 WeRideCN 57.3 ▲ +2.7 KodiakUS 56.4 ▲ +1.2 CocoUS 55.9 ▼ -4.5 Applied IntuitionUS 48.5 ▲ +11.0 AuroraUS 48.5 ▼ -1.9 Didi Autonomous DrivingCN 47.4 ▼ -2.4 TeslaUS 43.0 ▼ -1.1 Cao Cao MobilityCN 42.7 ▲ +1.4 Volvo Autonomous SolutionsSE 41.6 ▼ -1.1 MobileyeIL 39.2 ▲ +10.8 DeepRoute.aiCN 39.0 ▲ +4.7 WaabiCA 38.6 ▲ +9.2 XPengCN 37.0 ▼ -2.2 ZooxUS 35.7 ▼ -3.0 Bot AutoUS 35.7 ▲ +5.5 MeituanCN 35.1 ▼ -11.5 DoorDash DotUS 33.7 ▼ -1.3 MomentaCN 33.1 ▲ +4.3 May MobilityUS 32.6 ▼ -1.4 MotionalUS 31.9 ▼ -0.9 MOIA AmericaDE 29.6 ▲ +1.5 Avride PodUS 29.2 ▼ -5.0 AvrideUS 28.3 ▼ -1.6 TorcUS 28.1 ▼ -5.4 WayveGB 28.0 ▲ +0.1 VerneHR 24.3 ▲ +1.7 Tensor AutoUS 22.4 ▲ +6.6 Stack AVUS 22.1 ▲ +0.2 AutobrainsIL 21.8 ▼ -0.3 NuroUS 18.6 ▼ -0.8 PlusAIUS 17.8 ▼ -1.1 Helm.aiUS 17.5 ▼ -0.1 HUMAINSA 2.1 – 0.0
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Demystifying the Economics of Autonomous Trucking - The Road to Autonomy

Demystifying the Economics of Autonomous Trucking

Brett Suma, Founder & CEO, Loadsmith joined Grayson Brulte on the Autonomy Economy podcast to discuss the unit economics of autonomous trucking and the Loadsmith self-balancing freight network.

The conversation begins with Brett discussing the unit economics of traditional trucking.

Trucking and the most successful trucking companies look at unit economics. However they are measuring their business, they are going to do it in a very unit way. Whether you are looking at revenue per truck per day, revenue per truck per week, revenue per truck per hour, depending on your business and how your business is operating, revenue per mile obviously.

When you start looking at things like fuel surcharge per mile, your deadhead miles, your out of route miles, all of the things that build into those unit economics, that is the basis of trucking. So you have to look at things at a unit economic perspective.

– Brett Suma, Founder & CEO, Loadsmith

When autonomous trucks are introduced into the fleet the economics are going to change.

Well, the whole thing is going to change. The entire economics of trucking are going to change and not in every lane on day one, and not even in every lane forever. But the economics of, let’s just call it your 20 most dense lanes in the United States are going to probably change very drastically, very quickly.

Then it will continue to expand to the top 100 lanes from a density perspective, and it may settle in somewhere 150 to 250 total lanes that can support autonomous from an economics perspective.

– Brett Suma, Founder & CEO, Loadsmith

Autonomous trucks are first going to be deployed on over-the-road long haul routes, while the last-mile routes will still be driven by professional drivers. This dichotomy is going to lead to job creation and higher wages because of the demand for for first and last mile drivers. To capitalize on the hybrid network that is going to emerge from the mass deployment of autonomous trucks, Brett founded Loadsmith.

Along with the emergence of autonomous trucks, zero-emission trucks are also beginning to come online. However, the unit economics of zero emission trucks do not calculate today due to their higher upfront costs which is 50% more on average than traditional diesel trucks.

I’m very, very pro zero emission. I’m very, very pro autonomous. I do not think because of the cost of the truck that you’re going to be able to have zero emission in the middle mile at scale without it being autonomous.

– Brett Suma, Founder & CEO, Loadsmith

This is partly because of the infrastructure and the economics to operate the service with a professional driver. Where zero emission trucks could thrive is in the first and last mile. While autonomous trucks will thrive in the middle-mile. To scale up their autonomous freight network, Loadsmith partnered with Kodiak.

Wrapping up the conversation, Brett shares his opinion on the future of the freight industry.

Episode Chapters

  • 0:23 Economics of Trucking
  • 3:24 Impact of Insurance Costs on Trucking Economics
  • 15:36 Economics of Autonomous Trucks
  • 24:56 Building a Hybrid Freight Network
  • 31:55 Founding of the Loadsmith Freight Network
  • 36:04 Unit Economics of Zero Emissions Trucks
  • 39:41 Economic Advantages of the Loadsmith Freight Network
  • 42:20 Freight Balancing
  • 48:24 Partnership with Kodiak
  • 51:24 Future of Freight Industry

The future is bright. The future is autonomous. The future is The Road to Autonomy.

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