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Heavy Goods, Light Touch
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The Free Tech Newsletter That Readers NEVER Skip
Your uncle forwards you sketchy tech articles. Your coworker won't stop talking about AI taking everyone's jobs. And you're stuck Googling the same five questions every week.
The Current is a daily tech newsletter written by Kim Komando that helps you stay up to date on AI, tech, and trends in about 5 minutes a day.
Each morning she breaks down what’s happening in tech so you can quickly understand what matters without digging through a bunch of different questionable sources.
In each issue you’ll find things like:
Important AI updates
Useful tech tips
How to avoid the latest scams
It’s a simple read designed to help you eliminate the hours you probably spend Googling the same 5 tech questions
Dara Khosrowshahi, Uber’s CEO, reportedly said that AI could replace up to 9.4 to 9.5 million roles connected to Uber.

But when you think about it, the reason is fairly obvious.
Self-driving cars already exist.
They are not being used at mass scale yet, but the technology is no longer theoretical.
It is here, it is improving, and eventually, it could have a serious impact on Uber drivers.
So then you might think: maybe being a lorry driver is safer?
After all, driving a lorry takes more skill, carries more responsibility, and seems harder to automate than a regular car journey.
But about that…
The Disruption
Kodiak AI is building autonomous vehicle technology, with a particular focus on trucking.
In simple terms, it is trying to make driverless transport possible for moving goods safely and efficiently.
This matters because trucking plays a huge role in supply chains.
Goods need to move across long distances, often under pressure, and the industry already faces challenges around costs, driver shortages, safety, and reliability.
Kodiak’s technology is designed to help tackle some of those problems by using AI-powered autonomous trucks to transport goods with less reliance on human drivers.
The company’s bigger vision is to become a trusted leader in autonomous ground transportation.
And this is not just a futuristic concept.
As pioneers in autonomous trucking, Kodiak says its technology has already helped partners deliver thousands of loads safely and efficiently.
So while people may assume lorry driving is harder to automate than regular car journeys, companies like Kodiak show that even those roles are now firmly in AI’s sights.
Thoughts💭
Moving goods is expensive, time-sensitive, and often vulnerable to delays, driver availability, fuel costs, safety issues, and supply chain pressure.
If autonomous trucking can make transport more predictable, efficient, and scalable, the commercial opportunity is massive.
For retailers, manufacturers, and logistics companies, the appeal is clear: goods could move more consistently, routes could be optimised, and operations could become less dependent on the same constraints that affect traditional transport.
But the challenge is execution.
Autonomous trucking is not just about building smart vehicles.
It also requires trust from customers, regulators, insurers, and the wider logistics industry.
Businesses need to believe the technology is safe, reliable, cost-effective, and able to operate in the messy reality of roads, weather, traffic, and supply chain demands.
So the opportunity is big, but adoption will likely depend on proving one thing above all else: that autonomous trucking can deliver real business value without adding new layers of risk.
How to stay ahead and avoid being replaced?
Autonomous trucking could change how goods are moved, how routes are planned, how fleets are managed, and how supply chains operate.
So the people and businesses that stay ahead will be the ones who understand the bigger system, not just one task within it.
For individuals, this means building skills that sit above the repetitive parts of the job: operations management, route planning, safety oversight, compliance, customer relationships, logistics strategy, and problem-solving when things go wrong.
For businesses, it means not waiting until the technology is everywhere.
Start learning how autonomous transport could affect costs, delivery times, insurance, regulation, and partnerships now.

