The podcast discusses the rapid rollout of autonomous food delivery, featuring analyst Guillaume Gallant who traveled globally to study the technology. Two main types of robots are emerging: drones, which hover over homes and lower food in five minutes, ideal for suburbs; and ground robots, suited for dense areas like central London. Penetration varies widely—Helsinki leads at 10% of orders via robots, while LA is under 1%. Humans initially react with curiosity but quickly normalize the robots, especially when operators make them friendly with names and facial expressions. Economically, autonomous delivery offers significant savings: ground robots cost $5-7 per order vs. $9-10 for human delivery, with potential to drop to $1 long-term due to higher efficiency (3-4 orders per hour vs. 1.5 for humans). Restaurants benefit from reliability and brand innovation, but platforms like DoorDash and Uber remain key due to their ability to aggregate demand and supply. Key hurdles include regulation (national in Finland, city-by-city elsewhere), execution challenges in allocating delivery modes, and uneven adoption based on city layout and labor costs. For investors, the competitive edge lies in operational data; platforms with scale and balance sheet flexibility, and delivery operators with large fleets and experience, are best positioned. Penetration is under 1% today but could reach 10% by 2035, reshaping last-mile fulfillment while riders remain part of the mix.
Welcome back to the Barclays Brief, it's Patrick here. Now imagine it's the end of the week. You order a takeaway and when it arrives instead of a delivery driver ring in your doorbell, there's a small little robot waiting outside or even a drone hovering over your back garden carrying a pizza. Now I know that might sound like sci-fi, but the roll out autonomous food delivery is happening fast. To help me understand how this tech-led future is evolving, I'm joined today in the London studio by our internet research analyst, Guillaume Gallant, who has spent the last few months travelling the world to get a closer look at this technology and has just published a fantastic report for clients on the theme. Guillaume, thanks a lot for joining me on the Barclays Brief. Hey Patrick, it's great to join you on the show. I know you previously talked to Ross Sendler on Rubber Taxis and AVs, I'm super excited to talk about autonomous delivery. There's a lot to say. Yeah, there is. We've been talking a lot about physical AI on the Barclays Brief in the last three or four months because we're kind of entering this strange future where I could finish work, get a Robo Taxi home, come home to see humanoid cleaning my house or doing the ironing and then be able to order a delivery and have it delivered by a drone. What's going on with the autonomous food delivery and what are you seeing in this market? So yes, food delivery is going through a pre-fundamental change today. It's really the last leg which is changing. So if you think about it in the past, people associated food delivery with the rider human delivery today in several parts of the world, you can actually have your order delivered by a drone or a ground robot. Yeah, it's very strange. I remember when we had the episode talking to Ross Sendler about Rubber Taxis, it was very concentrated in San Fran. But I know you've travelled the world looking at this technology. It's not the same here, is it? It's not just a San Francisco story, I think it's global. We've been tracking this take for quite some time, been to different markets. He travelled to Helsinki, Dublin, Dubai, Los Angeles. So the penetration rate varies by geography. If you think about LA, it's more around 1%, even less. If you look at Helsinki in Finland, the penetration rate is one of the highest in the world around 10% of orders being delivered by robots today. Okay, so I want to talk about why that is. But first of all, set the scene for our listeners. When we talk about autonomous delivery, people often lump it all in together, but as I see it, there were two very clearly distinct types of robots. You've got drones that fly with your delivery, and you've got sidewalk robots that are kind of like big pack lunches with wheels. Which one is best at delivering food to your door? I wouldn't say one is better than the others. It's more about the mix itself, so we're seeing two emerging buckets. One is drones, and the other is ground robots. Starting with drones is pre-impressive because the delivery time comes down to five minutes. And how it actually works is that the drone hovers over your roof, lowers the food in your back garden. And I think this delivery mode is more suited for suburbs and longer distances. You have like startups, private startups in Ireland like Manor Air delivery doing the work here. But you also have ground robots which are better suited for very central dense areas like central London. So obviously you've been around the world seeing these things. I'm yet to see one of these in action. I've never seen a drone flying with a food delivery nor have I bumped into a robot on the street, but I'm always interested in how humans interact with these physical AI. What normally happens when you're in L.A. or when you're in Helsinki? How do humans interact with these robots? I'm pretty sure it's coming fast to London. You just have to wait a few months or maybe a year. It varies a lot by geography, to be honest. So when you think about L.A. which is a very nascent early market, I'd say the interactions people do notice the robot out there. They take pictures, take a selfie. But it's quite impressive how it fades very quickly. So if you look at the Helsinki where as we were saying 10% of orders are being fulfilled by robots today, people actually barely notice them. They just walk past is just another delivery option. And I think the reason behind this is essentially the investment that the delivery operators have made to make those robots friendly. They actually have facial expressions. They could smile at you. They also have names like Sarah or John, which makes the whole experience much more personalized. OK, I don't know if you chose on purpose, but Sarah and John, the first thing I think about is the Terminator films in the 80s and 90s, which is all about the rise of the robots. But anyway, we need to talk about economics for a moment. Why is capital flowing into this space right now? And when you break it down in practical terms, can you help our listeners understand the value proposition for the big groups here? Because you've got consumers that we just talked about, the delivery platforms and the restaurants. How do they all benefit from the usage of these robots? So maybe starting with the consumer side first, the experience is simply better and more reliable, almost secure and faster. And it's also pretty cool experience, right? Then if you look at the daily platform, first is on the unit economics, as you said, you're getting rid of the labor component, which is inflationary through the years, food time. And today, if you look at the best in class markets, autonomous delivery is around $3 to $4 cheaper than human delivery. OK, can you put that into contact? How expensive is human delivery in terms of unit economics? Sure, yeah. So in the US, human delivery is around $9 to $10. We think that ground robots delivery is around $5 to $7 today. This could go to $1 long term. Right, that much. Correct. Yeah. So you're getting essentially rid of the labor component, but it also scales with efficiency, utilization. And we think that the ground robot could actually perform three to four orders per hour. Drop rate goes up. Whereas for human delivery, the drop rate is around $1.5 to depends on the batching. What about the drones? So it's a good question. We've been Dublin. We're sitting at the Beckham from McDonald's looking at the drones take off. And during the peak hours, the drop rate was around $5 to $7 per hour. Right. So massive increase first, the standard delivery drivers. What about the restaurant companies then? How do they benefit and also help me understand why they don't just disaggregate the platform companies? Why not just buy a fleet of robots and cut the platforms out altogether? So on the restaurant side from our discussions with partners on the ground, it feels like it helps the daily flow of operations. It's just a much more predictable, reliable, also the consumers say it brings some sort of innovation for the brand image, thinking about the disentimentation risk. A large restaurant group could actually buy a fleet of robots, but it would be practically super hard for them to make it work because the key issue is scale and utilization. If you think about it, for daily platforms actually aggregate the demand, but also the supply, which is super fragmented today, we also get the flip side of that question. Why don't delivery companies create their own marketplace? The answer is pretty similar, right? The supply side is hugely fragmented. The platforms also earn the traffic and the demand. They can push the right order at the right time. So I think in the medium term, we're not seeing any risk through platforms being disentimentated. Okay. So we're not seeing that disentimentation risk. What about the other hurdles that stand in the way of the rollout of this technology? There must be quite a few. The first hurdle, which comes to mind, is regulation and that's the biggest swing factor. So the tech is ready out there. It's pretty much of the shelf. What really blocks adoption today? I guess it's the regulatory side, especially on drones, which is heavier. So in the US, this is done by state by state level. Whereas in Europe, this is more city by city. The only country which has managed to do it on the national level is Finland. And as you can see, the penetration rate is much higher today. The second hurdle is more on execution and the orchestration layer. But if you think about it, it's super hard for a platform to actually allocate the right delivery mode to the specific auto type. This could be a rider. This could be a drone. This could be a ground robot. All this has to happen without weakening the consumer experience nor the merchant experience. And the last hurdle we're seeing is more around adoption, which is going to be very uneven in the world. This will depend naturally on the layout of the city. If there's like wide pavements, but also on the country itself, if it has a high labor cost, right. So regulation, execution, adoption of the three biggest hurdles for the technology. Now think about it from the investors perspective and just sort of wrap it up for us. How are they looking to get exposure to this theme? Where in the value chain do you think the best risk rewards is? So you're not the first person to actually ask me this question since we published the report last week. The competitive edge in this field is more around the operational data. And if you look first at the platform side, I think investors will focus more on leaders with scales, strong data, balance sheet flexibility and players like door dash, mate one or Uber have started to do the work. And autonomous is part of their strategic agenda. On the more delivery operator side, what really matters is scale, experience and feed size. So you have private players like Starship, technologies who we met a few times, they own a fleet of 3000 robots, they fulfill over nine million deliveries today. Having the longest operating history, re-stand sound helps to stand out, but you also have public players like several products. In summary, it's truly to pick a single winner. There's a lot of capital flowing in this field today, but I'm super excited to keep you up to speed on what's going on. Yeah, well, we'll definitely get you back in, Gio, because it's a fascinating topic. Thanks for joining me today. It's been great to have Gio in the studio with me today. Am I three key takeaways if you excuse the pun? Our first penetration in autonomous food delivery, less than 1% today, but it could get to 10% by 2035. That should unlock
significant cost savings, generate meaningful operating leverage and could grow the food delivery market in entirety too. Secondly, the rollout is likely to be uneven and lots of structural hurdles remain. And finally, riders will remain a key part of the mix, but autonomous food delivery will reshape last mile fulfillment. Thanks for listening to The Barclays Brief and we'll be back again at the same time next week.
Podcast Summary
Key Points:
Autonomous food delivery is rapidly evolving globally, with two main types
Penetration varies by region; Helsinki leads with ~10% of orders delivered by robots, while LA is under 1%, and adoption depends on regulation, city layout, and labor costs.
Autonomous delivery is cheaper than human delivery (e.g., ground robots cost $5-7 per order vs. $9-10 for humans), with potential to drop to $1 long-term, benefiting consumers, platforms, and restaurants.
Key hurdles include regulation (biggest swing factor), execution (allocating delivery modes seamlessly), and uneven adoption across markets.
Investors should focus on platforms with scale and data (e.g., DoorDash, Uber) and delivery operators with operational experience (e.g., Starship Technologies), as competitive edge lies in operational data.
Summary:
The podcast discusses the rapid rollout of autonomous food delivery, featuring analyst Guillaume Gallant who traveled globally to study the technology. Two main types of robots are emerging: drones, which hover over homes and lower food in five minutes, ideal for suburbs; and ground robots, suited for dense areas like central London. Penetration varies widely—Helsinki leads at 10% of orders via robots, while LA is under 1%.
Humans initially react with curiosity but quickly normalize the robots, especially when operators make them friendly with names and facial expressions. Economically, autonomous delivery offers significant savings: ground robots cost $5-7 per order vs. $9-10 for human delivery, with potential to drop to $1 long-term due to higher efficiency (3-4 orders per hour vs.
5 for humans). Restaurants benefit from reliability and brand innovation, but platforms like DoorDash and Uber remain key due to their ability to aggregate demand and supply. Key hurdles include regulation (national in Finland, city-by-city elsewhere), execution challenges in allocating delivery modes, and uneven adoption based on city layout and labor costs.
For investors, the competitive edge lies in operational data; platforms with scale and balance sheet flexibility, and delivery operators with large fleets and experience, are best positioned. Penetration is under 1% today but could reach 10% by 2035, reshaping last-mile fulfillment while riders remain part of the mix.
FAQs
The two main types are drones, which fly and hover over your roof to lower food, and ground robots, which are sidewalk robots suited for dense urban areas like central London.
In early markets like LA, people take pictures and selfies with them, but in more mature markets like Helsinki, they barely notice them as they become a normal part of the environment.
Autonomous delivery is $3 to $4 cheaper per order than human delivery, which costs $9 to $10 in the US. Ground robot delivery costs $5 to $7 today and could drop to $1 long term.
It's practically hard for restaurants to make it work due to scale and utilization issues. Delivery platforms aggregate fragmented demand and supply, pushing the right orders at the right time.
The biggest hurdles are regulation, which varies by region, execution and orchestration of different delivery modes, and uneven adoption depending on city layout and labor costs.
Investors can focus on platform leaders with scale and data, like DoorDash or Uber, or delivery operators with large fleets and experience, such as Starship Technologies.
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