The corporate immune system: Google Cloud's Daniël Rood on building Europe's first AI team
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What is the “corporate immune system” and how does it affect AI transformation at Google?
There is also this corporate immune system that kicks in, which is I think a culture which exists in every company that has the function of protecting its success for all the right reasons. But if you need to make a dramatic shift, as everyone had to make, and us for sure, you start to see that corporate immune system activated. which meant that we had to convince the leadership team in different ways.
Welcome to Orbit, the HG podcast series where we talk to successful leaders of technology businesses and hear how they've built some of the most successful software companies across the world. I'm Chris Ross, head of growth for HG's value creation team, and I'm delighted today to be joined by Daniel Rhode, Director of AI Go to Market at Google Cloud. Daniel built Google's first AI team in Europe and now Daniel leads enterprise AI adoption at scale. His experience puts him at the sharp end of both the technical capabilities and business transformation required to make AI work in practice. Something HG are only too interested in. As enterprises navigate the shift from AI experimentation to real implementation, Daniel is on the ground helping companies deploy, and he's an invaluable voice in understanding where.
AI is heading. With that, Daniel, thank you for being here. Thank you for having me, Chris. So let's kick off. I've got a number of questions that I'm dying to ask you. You know, you've had an impressive career spanning Dow Jones, SAP, and now Google. What's the thread that connects these experiences and how did each of them prepare you for leading this AI adoption at Google Cloud?
It is interesting because if you look at it on the surface, I don't think Dow Jones or SAP or or Google have much in common. Definitely not from an AI perspective. However, if I now think back, it was probably a bit of a journey of information and from information to intelligence. If you think about Dow Jones, very much about finding signal in the noise, but also about the velocity. of data. That was absolutely critical for them. And I think that was a really great insight that I got there. But then moving into SAP, you get to work with enterprises where a lot of the processes are mission critical. And going at speed has a different meaning in that context. And you can't just go and break things, obviously.
So it was really fascinating to see there how information was of such value and so deeply embedded in business processes, and how customers think about that. And then comes Google, where of course through the lens of AI, all of a sudden these two worlds come together. You have the velocity of data and the importance of data and and finding the signal in the noise. linked to mission critical business use cases. And so we need to bring this exciting innovation at a scale, but also scalable, reliable and secure for organizations to use with their most sensitive data. So that has been quite a an interesting journey in a way.
Uh I think that that felt like a really good thread actually between those companies. So you get to Google and you're you're building the first AI team in Europe. Take us back to the moment, you know, what was the pitch internally? How did you justify how you were gonna build this team and was there resistance or scepticism in in what you were trying to build?
There definitely was. Okay.
How did Daniël Rood convince Google leadership to fund Europe’s first AI team?
And this was a time, it's difficult to imagine now where everyone in the boardroom is talking about AI. At the time, it was still a bit of a PhD science project. And so when we started to see the first startups predominantly in this space, I thought that this was going to be a big opportunity for us. Because if you especially if you look at Europe, there was one big challenge in the enterprise. Which was that they are data rich but inside poor. And so it was really difficult to get the insights from their data. And this technology, in its new form, because AI has been around for much longer, obviously, but this Gen AI capabilities specifically made it easier for any business user to start querying the data in a very human-like way.
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Chapters
8 chapters
1
What is the “corporate immune system” and how does it affect AI transformation at Google?
0:02–3:35
2
How did Daniël Rood convince Google leadership to fund Europe’s first AI team?
3:35–7:01
3
What hiring principles (intellectual humility, translators) did he use to build the team?
7:01–10:52
4
How does Google’s scale, data, and infrastructure give it an advantage over AI startups?
10:52–14:00
5
Why are customer success stories more persuasive than internal advocacy for AI adoption?
14:00–17:45
6
How are AI‑driven sales cycles changing from months‑long to proof‑based decisions?
17:45–21:12
7
What is the future of vertical SaaS – will expertise become an API on top of platforms?
21:12–24:30
8
What breakthrough AI applications in healthcare and embodied AI does Google see next?
24:30–26:57
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