𝗧𝗵𝗲 𝗖𝗼𝗹𝗹𝗮𝗽𝘀𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗠𝗶𝗱𝗱𝗹𝗲
Markets used to thrive on information asymmetry.
Companies charged high fees to turn complex science into everyday tools. I call this the Complexity Intermediation Tax. You needed agencies, consultants, and expensive software to bridge the gap between labs and customers.
Think of a high-end restaurant. You pay for the food, the chef, the logistics, and the service. Traditional software worked the same way.
AI changes everything.
AI acts like a tractor destroying the old supply chain. It takes complex academic math and puts it in the hands of a local baker in weeks.
AI is the ultimate translator. Market value is moving away from technical execution. It is no longer about knowing which button to press. Value now lives in vision. It is about knowing what to ask for.
Open source accelerates this. When brilliant minds release open models, independent builders wrap them in direct solutions. They cut out the middleman. Expensive corporate software that only provides a pretty interface is losing its reason to exist.
Value is migrating to the two ends of the spectrum:
• The Base (Infrastructure): Cloud providers and hardware makers like Nvidia. • The Edge (Hyper-Niche Products): Builders who solve specific problems for consumers without friction.
However, there is a limit. Open source destroys software middlemen, but it does not remove hardware landlords. You can skip the agency, but you still pay AWS or Google for compute power.
How do you capture value at the edge without getting squeezed by infrastructure costs?
I focus on three pillars to protect my operations:
• Radical Agnosticism: Do not marry one infrastructure. If you rely on a single closed API, you are at risk. You must be able to switch to an open source model in seconds if a provider changes their rules.
• Proprietary Data: Generic models know the world, but they do not know your client's specific operations. The real value comes from connecting raw intelligence to specific, real-world data.
• Obsessive User Experience: Since backend logic is now easy to replicate, the interface is your real advantage. Reducing friction is the goal.
The magic happens when AI works quietly in the background. The user should solve their problem without even knowing they are using a prompt.
The middle is dead. This is the biggest certainty of this new cycle.
If you embrace the infrastructure at the base and focus on exact customer pain at the edge, the opportunity is massive.
Are you updating your stack or are you stuck in the middle?
Optional learning community: https://t.me/GyaanSetuAi