Die weltweit bekannte Kölner KI-Schmiede DeepL will rund 250 von 1.000 Stellen im Rahmen einer grundlegenden Umstrukturierung abbauen. Das teilte CEO Jaroslaw Kutylowski auf LinkedIn mit.
Die Entscheidung sei ihm nicht leichtgefallen; es handle sich um die schwierigste in seiner beruflichen Laufbahn. Der Personalabbau sei jedoch unumgänglich, wenn man weiterhin auf globaler Ebene eine führende Rolle im Bereich der Künstlichen Intelligenz und Maschinellen Übersetzung einnehmen wolle.
Die Unternehmensstruktur soll auf kleinere, schlagkräftigere Teams umgestellt werden. Weniger Hierarchieebenen sollen zu schnelleren Entscheidungen führen.
Der spezielle DeepL-Fokus auf Sprache und Übersetzung soll erhalten und ausgebaut werden. So investiere man zurzeit stark im Bereich der Echtzeit-Übersetzung gesprochener Sprache.
Die Mitteilung im Wortlaut:
*
An important update on DeepL
2026-05-07
Building DeepL, and with it a new category of Language AI, on the ambitious idea that language should never be a barrier to how far businesses can go has been one of the most meaningful things I have done in my life. That is why what I am sharing with you all today is so hard. There is no easy version of it, so I will be direct. Today we are reducing DeepL’s overall headcount by approximately 250 roles, subject to local legal processes. This decision wasn’t made lightly – it is the most difficult I’ve had to make in my career. However, it is a deliberate structural choice about how DeepL needs to operate to remain a global AI leader.
To those who are leaving, I know how significant and difficult this moment is for you, and I take responsibility for the decision. You helped me build DeepL into something real. This company exists the way it does today because of the work each of you put into it, and I will not forget it. Your contributions here mattered deeply and I sincerely thank you.
Now let me explain what I believe is happening in the world and why we are acting on it.
DeepL has been building AI since 2017, long before most companies were even thinking about it and when few understood how powerful it would become. What drove us was the ambitious belief that people should be able to express themselves fully and work together without language getting in the way. Since then, thousands of businesses and millions of individuals have used our technology to share ideas, reach new markets, build relationships and collaborate across borders in ways that simply were not possible before. That mission has not changed. But the pace of AI has accelerated far beyond what was possible even just a year ago, changing what it means to operate effectively – including for a company like ours.
We are currently living through a massive structural shift in what work exists, who does it, and how many people it takes to do it well, and that shift is because of AI. This isn’t just a productivity upgrade or a new set of exciting tools. This technology is reshaping how organizations are built, how value is created, and what it means to compete. And we’re only seeing the beginning of it. Most companies sense this is coming but very few have truly acted on what it means. The companies that do, and do it now, will define the next decade. Those that wait will spend it catching up.
When I imagine what a truly AI native company looks like, I see something fundamentally different from how businesses are built today. AI is used not just as a helpful day-to-day tool, but is embedded so deeply that it understands every bit of knowledge that the organization holds, from its products, to its customers, to how it operates. This takes the pressure off of the hierarchical structure and team boundaries that have plagued companies for decades, allowing smaller groups – sometimes even an individual – to do work that once required entire teams.
Working effectively with AI therefore requires smaller, more impactful teams with sharper focus and clearer ownership. It means fewer layers, faster decisions and far less time spent on the back and forth that slows large teams down. The companies that get there first will be operating at an entirely different pace, unreachable by those that didn’t move.
DeepL has been at the forefront of this shift since day one, building the technology that has reshaped the language industry and enabled our users to do things that were once impossible. Our technology can turn a translation job that once required days of cross-team collaboration into a task that just one person can complete within seconds. And we haven’t just led this transformation – we’ve been living it. Within our own walls, the AI transformation is well underway, from how we approach product discovery and engineering to how we build our pipeline and support our customers.
These changes have been significant, but it is only just the beginning of this transformation for us. Seeing AI-driven shifts happen in a few areas is not the same as being structurally built for them. Which is why, over the past several months, my leadership team and I worked through many scenarios to answer a question we couldn’t ignore: what does it take to operate as an enduring global AI company at this pace of change, and are we built for that?
The honest answer was no. What got us here would not take us where we need to go. So we chose to act.
In practice, this means transforming how DeepL works from the inside out, with AI embedded into every layer of how we operate. We are moving to smaller high-agency teams where AI handles the routine, so people can focus on what only humans can bring, like using our intuition, coming up with new creative ideas and seeing projects through from start to finish. AI systems will allow us to put more energy into the work that actually matters and move at a speed we haven’t seen before, leaving behind recurring roadblocks and day to day inefficiencies.
To accelerate this transition, I will personally go deeper into founder mode, leading a small taskforce that will further completely rethink how we build products, find customers and partner with them at every level, with AI at the center of it all.
This shift will clear the path for us to invest, with even more conviction, in our largest ambitions. DeepL has always been a leader in Language AI. We are doubling down on that, including in real-time Voice translation, which we believe is the next frontier of language for global businesses. As part of this, we are bringing on the team from Mixhalo – a pioneer in breakthrough audio streaming technology – and opening a San Francisco office in the process. This will move our Voice roadmap forward significantly and expand our presence in the US, an important market for us.
We are not waiting until the shift is fully obvious to everyone in the market – the right time to make a move like this is before you have to. We’ve also done it before. We built something that genuinely changed the language industry, as a European AI company, at a time when few believed it could be done. That pioneering spirit is who we are, and we’re now applying it to how we operate, not just what we build.
To everyone staying – I know this is asking a lot of you. This chapter will demand something different from each of us. AI is changing the human role in profound ways, asking all of us to stop being purely specialists and start thinking like builders and owners. Not just solving the problem in front of you, but owning what happens next – understanding the bigger picture, making judgement calls and architecting the outcomes, rather than building the scaffolding. For some of you, that will feel uncomfortable. The comfort of deep specialization, of knowing every corner of what you are building, is hard to hold onto in an AI-native world. I know that feeling – I made that shift once myself, from engineer to founder.
I also want to say that the people in this company are extraordinary. What you have built and are bringing into this next chapter is not something I take for granted. The skills that will define this new AI era – like judgement, focus, and the ability to decide what matters and let go of what doesn’t – are about to become some of the most defining and valuable professional skills, and I believe we have the right people in place to make the most of this moment.
Building a company this way is one of the most significant things we will ever do, and I feel strongly it will be worth it. Thank you for being in this with me.
Jarek
* * *
Richard Schneider
