Sal Matteis

The Three Horses Racing Toward Global Dominance

Sal Matteis brings a rare combination of Silicon Valley execution experience and European strategic thinking to AI transformation challenges. With nine years at Yahoo during its peak as « a $100 billion company, » Matteis witnessed firsthand how technology waves reshape entire industries and economies. His experience spans the complete spectrum from internet-scale infrastructure to venture capital, positioning him uniquely to assess AI's competitive implications for European markets.

The Three Horses Racing Toward Global Dominance

Matteis's strategic framework of "The Three Horses of AI" has become essential reading for enterprise leaders navigating unprecedented technological acceleration. He identifies three simultaneous races that will determine global competitive advantage: « Number one, you're seeing this race towards AGI. We like the term or not. Anyone has heard of AGI, but anyone, you know, everyone knows what AGI is. »

His definition cuts through academic debates: « AGI, depending on who you speak to in the leader, but it's the ability for some level of general artificial intelligence that is able to replace a PhD level. That's the definition of Sam Altman. So PhD level colleague that you can have next to you that is an AI. »

The investment scale proves unprecedented: « There is this race where billions of dollars, and in fact every month is something crazy like 400 billions that are starting to go into AI. 400 billions is a big number. We've never seen this before in the history of technology. » This creates an inevitable dynamic: « Because the people that have invested in those frontier models, what I call the AGI race, are OpenAI, Antropic, Google DeepMind, Microsoft, et cetera, have one goal and one goal only, and the goal is to either monopolize or at least get at the top of the top two, three, four, they are going to dictate, dictate from a perspective of enterprise value, what it actually will mean. »

The Enterprise Gatekeeper Reality

The second horse involves enterprise productivity unlock, where organizations serve as critical gatekeepers determining AI adoption velocity. « Enterprise is really important because enterprise is the gatekeeper, » Matteis emphasizes. « Imagine the river coming down the mountain, AGI. It comes and it gets into the valley. Around the origins of the rivers, there is enterprise, and enterprise are the gatekeepers. Each one of them can open a gate for more AI to flow into our lives. »

This positioning proves crucial because « enterprise should be faster than government. Should, in theory. They're smaller than government and what happens in the cycle. But in any case, it has a big, important role to play, also in terms of what happens on the tax side and what happens with employees and so on and so forth. »

The Application Layer Breakthrough

The third horse focuses on application layer innovations where actual productivity improvements materialize. Matteis traces the logarithmic progression: « We went from agents that were prompt agents, chatGPT-like, to workflow agents, to what is now agent worker agents. A worker agent is the example I gave earlier before. Have a colleague that does X things. Now this thing is not equally distributed. It means some people are using it. But it is there. And so there's a big question mark on the acceleration of this thing. »

His analysis reveals exponential capability increases that challenge traditional organizational structures: « Even in the last months, we've essentially gotten from chatGPT is a nice cool tool to now we have AI agents. This is a logarithmic scale, and so things are moving dramatically fast. »

European Competitive Reality Check

Matteis doesn't sugarcoat the competitive reality facing European organizations, drawing from his Silicon Valley experience: « I'm not American, I'm European, I believe that there's a lot of great things we can do here in Europe. Our American counterpart will say, let the horse go, and then we'll see what happens. And to see what happens is everybody's going to live in this magical land of abundance. »

His assessment proves particularly pointed about European positioning: « Europe stayed behind. Switzerland stayed behind. We didn't play into cloud. We didn't play into the big, you know, Airbnb game, etc., etc., or Salesforce, all of these things. We missed the boat, so to speak. »

Yet he challenges conventional metrics: « Yes, there's a big gap in GDP between U.S. and Europe, again, collectively, but when you're looking at living conditions and how we're going about our lives, what's the real story here? »

Technology's Societal Impact Question

Matteis poses provocative questions: « When you think about it from their level, look at what internet has done. The companies that have monetized have gotten where they've gotten in valuation. Great, incredible, you know, multi-billion-dollar, trillion-dollar company, and what is the impact of technology on society? Do a measurement of those companies' impact on society in the U.S. versus Europe. »

The AI Native Transformation Imperative

His current work focuses on helping organizations become "AI native" rather than retrofitting AI into legacy structures. He poses the critical question every leader must answer: « Really the fundamental question is how do you operate in this new structure? This is my slide, it's my way of looking at it, which is you do have a human somewhere in the middle, CEO, head of HR, or subunit, whatever. But how are you using agentic AI within this picture to enact all of the productivity, and what's the role of humanity and the humans within this loop? »

The transformation proves inevitable: « It's a river that is coming downstream from the mountain and it's unstoppable. There's nothing we can do about it, whether we like it or not. Open source, centralized, whatever happens, it's there and it's happening. » The only choice is how intelligently organizations position themselves in its path, balancing competitive necessity with social responsibility.


Second report: The Conscious Humanity Advocate Framing Europe's AI Evolution

Sal Matteis brought a unique philosophical perspective to the Panoramai panel "Financing AI", positioning AI transformation within humanity's broader evolutionary moment. His eight years at Yahoo followed by entrepreneurial and investment experience informed his vision of conscious technological development and strategic European positioning.

The Conscious Humanity Framework

Matteis opened the discussion with a profound philosophical framing that set the tone for the entire conversation. He positioned current AI developments within humanity's broader evolutionary moment: « I like to think of it as more of a transition to a conscious, more conscious, aware humanity ».

This framework acknowledged both opportunity and chaos: « There's this tension between the incredible opportunity we have as a tipping point of humanity with artificial intelligence and intelligence, in fact, to accelerate our capabilities... But at the same time, there's also a lot of chaos and transformation happening at an accelerated pace ».

His perspective reflects deep understanding of technology's dual nature - simultaneously empowering and disruptive at unprecedented scales.

The Alien Civilization Perspective

Matteis introduced one of the panel's most thought-provoking frameworks by asking panelists to adopt an "alien civilization view" of humanity's current moment. This technique forced strategic elevation beyond immediate market concerns: « I'm coming to visit Earth. I'm out there, spaceship looking down at the planet and I'm saying, hey, these monkey like folks have done a lot of stuff, they've done some primitive technology, et cetera, but in this series they've developed over time and now they have this great technology that they built, including AI ».

This framing device enabled discussion of AI's civilizational implications while maintaining practical relevance for European strategy. It demonstrated Matteis's skill at using intellectual provocations to unlock deeper insights from experienced practitioners.

The Exponential Convergence Analysis

Matteis articulated a sophisticated understanding of contemporary technological dynamics, noting how multiple exponential curves now overlap: « The last 20 years effectively have seen overlapping exponential curves of technology. For those of you who've, of us who are in technology, look at innovation curves, the S curve, so to speak, you see different things coming at different stages ».

His observation that « a day doesn't go by, whether you like to be in technology or not, where you're inundated with, hey, what's the next quantum breakthrough on one side and what's happening on bioscience and so on and so forth » captures the overwhelming pace of change that executives must navigate.

The Value Creation Transition

Matteis identified a fundamental shift from the previous twenty years of software/internet value creation to a new paradigm: « If you looked at the last 20 years... You've seen a lot of the focus has been in so called software companies, Internet companies, which have generated incredible amount of value, at least from a CAP perspective, from a valuation perspective. But we're really transitioning into a very different place now ».

This transition framework helped contextualize the panel's discussions about SaaS disruption and new business model requirements within broader economic evolution.

The Strategic Urgency Vision

Matteis created urgency around European AI strategy while maintaining optimism about opportunities. His framing positioned current discussions as critical for European competitiveness: « If we're thinking strategically as a community in Europe and in Switzerland, where should we place our bets? How are things going to play out? »

His advice to founders reflected practical wisdom from operational experience: « If you're a founder raising for money you better make sure you know who's on the other side otherwise you waste your time... Make sure you listen to what people have to say online and just talk to the people that don't waste your time because they don't fit with whatever it is your vision that you're building ».

Key Achievement

Sal Matteis demonstrated how philosophical framing can illuminate practical strategic decisions in technological transformation. His framework for understanding AI as part of humanity's conscious evolution provides essential context for European leaders navigating technological disruption while maintaining founder-centric focus on immediate execution needs.


Multifaceted AI strategist, investor, and entrepreneur currently serving as Author at AI [r]ecursive and Change Lead/Head of AI Innovation at Good AI, focusing on the transformative impact of artificial intelligence. Co-founder of Earthshots Collective, a deeptech syndicate investing in AI infrastructure and trustworthy AI solutions. Previously served as Director at Founders Factory, leading pan-European pre-seed and seed investment vehicles in deeptech, AI, and fintech, and as Co-Founder of Next Humanity Ventures, investing in deeptech ventures addressing planetary and humanitarian challenges. Earlier career includes leading Fusion Partners, Switzerland's venture building platform connecting corporations with startups, and extensive experience at Yahoo as Head of Platforms EMEA. A frequent mentor and advisor in the startup ecosystem through roles with 500 Global, Techstars, and various accelerators. Combines deep expertise in venture capital, business transformation, and AI strategy with a focus on creating techno-humanist futures where technology enables positive outcomes for people and planet.