I read something super interesting. One question Ronald Coase asked in 1937: why do firms exist at all?
Think about it. In theory, every task could be done by independent freelancers contracting with each other on the open market.
You need accounting? Hire an accountant per transaction.
Need legal work? Contract a lawyer for each deal.
Need someone to manage a project? Find one on the market each time.
Why bother having employees, offices, hierarchies?
Coase's answer: because using the market is expensive.
Every time you go to the market, you spend time and money finding the right person, negotiating terms, writing a contract, and then monitoring whether they actually deliver. Those are transaction costs.
When those costs are high, it's cheaper to just bring people inside a firm, put them on salary, and manage them internally. That's the "make" option.
When transaction costs are low, you "buy" from the market instead.
Large companies exist because coordinating thousands of tasks through open-market contracts would be prohibitively expensive.
My own career is actually a beautiful illustration of the opposite.
I've operated entirely through referrals and independent contracts precisely because in blockchain governance and tokenomics, the transaction costs of finding and verifying specialized talent are low enough that clients don't need to hire a full-time person internally.
Now here's the cool part: The activities that create transaction costs aka price discovery, negotiation, contract drafting, and compliance monitoring are exactly what AI agents are good at.
If agents can do these tasks at near-zero cost, then the "buy" option suddenly gets dramatically cheaper across the board.
If it becomes trivially cheap to find, vet, negotiate with, and monitor external providers, then firms don't need to be as large. More work moves outside firm boundaries and into markets.
You'd see more disaggregation, more independent specialists, more market-based coordination and far less of the traditional corporate hierarchy that exists primarily because coordinating through markets used to be too expensive.
The irony for my career is that AI agents could make the way I've always worked: independent, referral-based, project-by-project, as the default mode of economic organization, not the exception.
And this is why I am not scared of AI taking my job.