Flavio Aliberti @flavalib

If there is one thing that has shaped my path in Life Sciences, it is M&A. That is why I periodically look at M&A transactions through a simple strategic lens: is the deal mainly about price and share, or is it really about value creation? have a look #ai #lifesciences

There is something more interesting than the usual “AI will transform pharma” narrative. Something that goes beyond a technology being adopted by Life Sciences companies. #supplychain #lifesciences #ai

What is the Life Sciences tech dream team in World Cup season? That was the lighter idea behind the visual (soccer lovers might recognize the coach who inspired the 3-4-2-1 structure 😀) #WorldCup2026 #supplychain #lifesciences #ai

He is the lens under which we can see the world... I went deeper on the helium question than I expected. medium.datadriveninvestor.com/helium-is-the-…

#hormuz : What if the #pharma system is less hardened at the #molecule level than at the #compliance level? Chemistry might be forkable, but the real bottleneck is regulatory qualification, approved vendors, and synchronized operating procedure. Will we touch again approvals?

What if the real bottleneck turned out to be sterile packaging resin or medical-grade refrigeration components, not the drug molecule itself? #Hospitals could then “have the medicine” in bulk form but still fail to dispense it safely at scale. #Hormuz

Imagine some manufacturers quietly welcome moderate #disruption as scarcity improves pricing power in low-margin #generic markets. In that what-if, crisis narrative becomes a bargaining tool as much as a warning. Commercial incentives could magnify fear beyond physical constraint

What if the main shortage driver were not hydrocarbons at all, but a sudden export-control cascade by major manufacturing states trying to protect domestic supply? #Hormuz would be the trigger, but national hoarding would be the true mechanism.

@BoringBiz_ The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@MilkRoadAI The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@LuizaJarovsky The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@NVIDIAAI The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@zackbshapiro The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@milesdeutscher The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@NVIDIAAI The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

The hardest infrastructure question is not whether a system scales. It is what the system becomes while scaling. Some systems bend toward concentration, tighter coupling, and fewer exits. Others preserve redundancy, modularity, and branching capacity. medium.datadriveninvestor.com/the-curvature-…

@antgrasso Most infrastructure analysis is still too polite. It talks about scale, efficiency, connectivity. It talks much less about the moment a system becomes impossible to reroute without pain. That is the real threshold. Not growth. Dependency. medium.datadriveninvestor.com/the-curvature-…

Most infrastructure analysis is still too polite. It talks about scale, efficiency, connectivity. It talks much less about the moment a system becomes impossible to reroute without pain. That is the real threshold. Not growth. Dependency. medium.datadriveninvestor.com/the-curvature-…

A network does not become dangerous when it gets big. It becomes dangerous when too much of the world has to pass through too few points. That is when efficiency stops being strength and starts becoming exposure. That is the piece I just published. medium.datadriveninvestor.com/the-curvature-…

Rail, grids, payment rails, cloud. Different sectors. Same drift. Success deepens the same paths. The same paths become centers. The centers become hard to leave. Then a small shock travels too far. That is infrastructure curvature. medium.datadriveninvestor.com/the-curvature-…