"At the F.A.Z. AI Conference on Tuesday, Karsten Wildberger
took a clear stance on the opportunities that artificial intelligence holds for
Germany and Europe. We present the full text of his speech here.
I’ll start here at the F.A.Z. with a disclaimer: This speech
was created “in cooperation with” artificial intelligence. We worked on it
together. And just as in a good newsroom—where the final byline belongs not to
the researcher, the archivist, or the editor, but to the author—I stand here
today taking full responsibility for my speech. It is based on my thoughts. My
structure. My stance. And that is precisely the point today: AI does not
replace responsibility; it raises the bar for it. And with that, we are right
at the heart of the topic. I would like to address three things.
First: the significance and scope of AI, and the
consequences this must entail for us in politics, business, and society.
Second: the mindset required to shape this transformation.
And third: what we must do to remain competitive and secure
our future in the age of AI.
1. Significance and scope of AI
The significance of AI is still widely underestimated. It
will transform every aspect of life. It is already making a powerful impact in
software development—one of the most crucial elements of value creation. For
the first time, we are essentially replacing programming—a form of language
(which, incidentally, possesses its own elegance and beauty)—with the machine.
And the scarce resource of “intelligence” is suddenly available in abundance.
This gives rise to application after application: in
manufacturing, in process automation, and ultimately in the augmentation of our
own thinking. It is happening almost everywhere, because the machine can do
many things faster and more efficiently—and some things already better—than we
can. But I am convinced: In the short term, humans won’t be replaced by AI
itself, but rather by the people who successfully leverage and deploy AI for
profit. Almost any business model can be reimagined if approached from the
perspective of AI—building it up from the ground floor. That is where much of
the pressure will come from.
Let’s look at where value creation is shifting: initially
toward language models and frontier models, but ultimately across the entire AI
stack. This highlights exactly where we need to catch up and achieve greater
autonomy—in energy, chips, data centers, and AI models. And, crucially, in AI
solutions—the application layer. We must focus all our efforts here to ensure
we are fit for the future.
I would go a step further. I am convinced we need an
extremely ambitious political agenda for AI, coupled with determined
implementation. This ranks among the most pressing challenges Europe has faced
since the Second World War. If we fail to harness AI independently and
profitably, Europe will lose the ability to shape its own future. We would find
ourselves on the economic and political sidelines, struggling to defend our
values or fund our social welfare systems in their current form. Ultimately,
even our democracy would come under pressure.
We therefore need a concerted effort on an unprecedented
scale to remain relevant. Yet, therein lies our opportunity. I call it
"leapfrogging."
The concept of leapfrogging comes from development
economics. We saw it with South Korea, which made massive strides in digital
infrastructure early on, and with Estonia, which systematically built a digital
state following its independence. For over twenty years, major platforms were
built elsewhere, standards were set elsewhere, and dependencies were determined
elsewhere. AI now opens a window of opportunity. Perhaps the last one.
Certainly the decisive one.
And we are not starting from scratch. Germany possesses
immense industrial strength, a robust SME sector serving as a powerful
backbone, world-class research capabilities, great inventive spirit, and a
promising, resurgent generation of entrepreneurs who naturally embrace AI. And,
not to be overlooked, a reliable rule of law.
We have far more going for us than we often realize.
2. The Mindset
This brings me to the second point: mindset. What kind of
attitude do we need?
Let me give you an example from China. Despite any
skepticism or criticism, I respect Chinese culture and what China has achieved
over the past few decades. In a recent interview, Professor Zhang Weiwei
described the Chinese attitude toward AI—in essence—like this: "AI is
unstoppable. And because it is unstoppable, we embrace it pragmatically and
calmly, continue to develop it, and leverage every advantage. And whatever
problems may arise along the way, we are
solving them. That is our stance. This is a completely different approach from
the one we often choose—namely, ruling out risks from the outset and viewing
technology with great skepticism. We need to give more room to opportunities,
maximize benefits, and find solutions to risks along the way.
Why is this so crucial right now? Because this technology is
evolving faster than anything humanity has ever developed before. Advances no
longer happen on a yearly or even six-monthly basis; they occur monthly, or
even almost weekly. Anyone who does not actively shape this development and
take a leading role in it will face immense pressure.
As I say: If you don’t shape AI, you will be shaped by it.
We have developed a reflex that paralyzes us: we comment and
pass judgment. Yet we implement too little and struggle to tolerate
contradictions and uncertainty. If we are serious about
"leapfrogging," we must overcome this self-imposed restraint.
3. What we are doing
This brings me to the third point: What exactly are we doing
in the political sphere? I would like to highlight three areas where we are
taking action: rules for AI, the sovereign infrastructure on which AI runs, and
frontier models, AI applications, and the ecosystem.
First, the rules. We are advocating for—and achieving—more
innovation-friendly regulation. Regarding the AI Act, we succeeded in having
the Machinery Regulation excluded from its scope initially. This gives our
industry greater clarity and freedom to develop and utilize AI. Furthermore, we
will improve the conditions for AI and cloud applications in the healthcare
sector—a move that is long overdue. We are also working on data protection
rules that focus more on data usage, while ensuring that fundamental rights and
protections—such as privacy—remain intact.
Second, sovereign infrastructure. Through our data center
strategy, we are working with numerous companies ready to invest to build
AI-capable computing infrastructure as quickly as possible. After all, what we
ultimately need is computing power.
And a genuine milestone: for the first time, the federal
government has awarded contracts for a sovereign cloud to two European
consortia led by German companies. In doing so, we are building a scalable,
sovereign cloud infrastructure for public administration in Germany—the
"Deutschland-Stack." This entails a shared architecture for
digitalization and AI solutions, the EUDI Wallet for digital identity, and the
"Deutschland-App." Furthermore, the state is strategically fulfilling
its role as an anchor customer to drive economic growth.
Thirdly: models, applications, and the ecosystem. We are
supporting consortia working on frontier models. When it comes to world models
and vision models, Germany is home to companies that rank among the global
elite; we must ensure they remain European. For language models, too, we will
need our own solutions capable of competing globally—consider, for instance,
cybersecurity and software development capabilities. The partnership between
Cohere and Aleph Alpha makes a significant contribution here, creating a
leading player with a strong foothold in Germany.
Equally important is the widespread adoption of AI—its
so-called diffusion. How do we enable small and medium-sized enterprises (SMEs)
to collaborate with young companies on sovereign infrastructure and unlock the
benefits of AI? How do we support start-up ecosystems? One example is the
"Agentic AI Hub" for public administration, where start-ups help us
digitize and automate administrative processes. This is how we build momentum.
AI is the most profound technology of our time. It is
transforming how we work, how companies position themselves, and how public
administration and security operate. The changes it brings to every aspect of
life will challenge us, requiring us to leave old habits behind and embrace the
new.
Yet, the full picture also includes the fact that AI can
help us solve major problems: curing diseases, extending lives, and addressing
energy and climate issues. AI can drive significant economic growth and make
public administration efficient and agile.
AI continues to evolve—in the US, in China, and in other
parts of the world. With us, or without us.
And that is why my position is clear: we cannot simply
reject this technology just because others are the ones shaping it—securing
growth and prosperity for themselves while we end up paying rent to use it.
That would only increase our economic and political dependence. That must not
happen.
I am convinced that artificial intelligence can drive a
comeback for Germany. What matters now is the will and the courage to move
forward—and the readiness to learn along the way.
This is a task for policymakers and the business community,
but also for the media. For this transformation requires public engagement. It
requires context. It requires critical scrutiny. But above all, it requires
courage.
Engage in discussion boldly, critically, and
optimistically—but with the necessary openness to the joy of progress.”
AI needs stable and inexpensive energy. Chinese have Russian
gas, that you, Germans, pushed to them with your sanctions. Americans have
their own gas. What do you have? Zeitenwende? [1] What is this? Hot air? Not enough
to produce stable electricity to run AI factories.
1. Zeitenwende (literally "turning of an era" or
"watershed", German) refers to the historic shift in Germany's
foreign and security policy announced by Chancellor Olaf Scholz in February
2022, shortly after start of the events in Ukraine. It signaled the end of
Germany's post-Cold War culture of military restraint. The Germans closed their eyes again and opened their mouths wide.
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