The Daisy Chain Effect
The Terminal Phase of Complex Systems Failure
In my last post, I described the moment an organization realizes it spent five years buying complexity it can no longer maintain. Phantom Load. Entropy debt. The bill coming due. Yadda yadda yadda.
That post was about what happens inside a system when things stop working.
This one is about what happens when everyone knows things have stopped working (and nobody moves).
Phase 1: The Daisy Chain
Most of you may know that “daisy chaining” means plugging one power strip into another. You need more outlets, so you extend... then someone else extends off your extension… then someone else off theirs… and so on.
Everyone has seen this. The conference room where the projector, the speakerphone, and three laptops are all running off a chain of strips going back to a single wall outlet that was rated for a coffee maker.
I can’t lie, I’ve done it. Hey, it works! The lights are on. Nobody dies.
So it continues. And every time someone new needs power, they don't rewire the room - they just pop another strip on the end. It's faster, cheaper, and avoids the only thing worse than a dangerous setup: a temporary shutdown.
Great, let’s scale that to an organization.
Every new module, integration, and vendor tool daisy-chained onto the previous one. Nobody goes back to the panel. Nobody traces the circuit. Nobody wants to rewire while the building is occupied (and the building is always occupied).
This is how enterprise systems are built.
By extension.
Phase 2: Why Nobody Says Anything
It sounds irrational, but I get it.
Everyone in the room can see the chain (IT admin, project lead, budget approvers, etc.), but nobody says “this is dangerous” for one very simple reason: their shit is plugged into the same mess of a chain.
The moment you say “we need to shut this down and rewire,” the first thing that goes dark is your screen. Right now, its your tools, dashboards, and access on the line. The thing you need to do your job today stops working immediately, and nobody can tell you how long the rewire takes because nobody remembers what's plugged into what anymore.
So you look at the chain. You look at your screen. And you plug in.
Because the cost of fixing it falls on you right now, and the cost of ignoring it falls on everyone later. And “later” has been working out fine (so far) for everyone else.
This is the Daisy Chain Effect. It is the terminal phase of complex systems failure. It’s not exactly the part where things break - it’s the part where everyone knows things will break, and the structure of the system makes it irrational for any single person to act.
Phase 3: “Not My Problem”
Well, that's not my department. That's not my integration. I didn't approve that vendor. If it blows, that's on whoever plugged in the last strip.
This is the logic of shared infrastructure and distributed blame. Everyone assumes that when the chain fails, accountability will fall on someone else. Just blame the admin who made the last connection or the consultant who recommended the architecture. Better yet, blame the vendor whose product was the weakest link.
So people don't just tolerate the chain. They lowkey hope it fails (as long as it fails on someone else's strip).
Until it does fail.
And the first thing leadership asks isn't “what happened to the power strip?” It's “where's the Disaster Recovery plan?” and “who owns business continuity?” Well, at least I hope thats what they’d ask.
And it turns out the DR plan was an AI-generated document from last quarter to check a compliance box. And the business continuity strategy assumed that every upstream dependency would be available (because it was written by the same chain of tools plugged into the same chain of vendors plugged into the same chain of assumptions that just went dark).
The recovery plan was plugged into the thing it was supposed to recover from.
This is where I see many businesses currently standing as of February 2026.
Phase 4: The Self-Referencing Loop
The terminal moment of the looping pattern.
A daisy chain is dangerous, but it can function as long as there's a source. As long as there's a wall outlet at the beginning of the chain, connected to actual power. Actual infrastructure. Something real.
It kicks off when someone unplugs the chain from the wall and plugs it into itself.
This is where we are with AI-dependent operations (note the word dependent). Companies are building their business continuity on top of platforms they don't control, running on infrastructure they don't own, powered by models they can't audit. They aren't just daisy-chained to a vendor. They're daisy-chained to another company's entire business model. If that company reprices, pivots, goes down, or simply changes its API, then your chain breaks, and you don't own a single link in it.
This is 2008 logic applied to operations instead of mortgages. Overleveraged on someone else's foundation. Except in 2008, the underlying asset was housing (something that existed, and that you could at least repossess). The underlying asset here is a probabilistic text engine that was never designed to be load-bearing infrastructure.
Sidenote: Physics in Business
There's a concept in physics called the Knudsen number. Without getting technical: it's a ratio that describes whether a signal can travel through a system before getting scattered.
When the ratio is high, information propagates and messages get through.
The system can coordinate and self-correct. A direct line to productivity.
When the ratio is low, every signal collides with the next node before it arrives.
The system is full of action (meetings, reports, dashboards, emails, etc.), but nothing is actually communicating. A game of telephone and “translate the translation.”
How many projects have you had like that recently?
That's a daisy chain in its terminal phase. Every node is busy, yet nothing is coordinated. The chain looks like infrastructure but functions like friction.
In thermodynamics, friction is irreversible and does only one thing: it turns all that useful energy into hot air.
Phase 5: What Breaks the Chain
If you’re going to fix the Daisy Chain, you can’t do it from the inside. I’m not being pessimistic here, I’m being literal. The cost of fixing falls locally, and the benefit is distributed globally. No rational individual actor will absorb that cost voluntarily.
Chains break one of three ways:
External shock. Something hits the system from outside that it wasn't sized to handle (a recession, breach, regulatory action, vendor collapse, major outage, etc.). The chain’s degradation cascades because each strip depends on every other, and none are rated for the actual load.
Slow starvation. The phantom load I described in the last post keeps growing.
The manual workarounds multiply.
The talent that understood the wiring leaves.
Eventually, the chain draws more energy to maintain itself than it produces.
The system stops doing useful work. The lights are on, but nothing runs.
Someone with nothing to lose. Occasionally (rarely), someone who isn't plugged into the chain walks in and points at it. They have no laptop to lose. No dashboard that goes dark. No strip that's theirs. They can afford to say what everyone sees because they don't pay the cost.
What to Do If You're In One
You probably are. Hell, most organizations are. The question is more about how long the chain is and whether you still have a wall outlet.
Trace the circuit. Literally. Pick any critical process (payroll, hiring, compliance reporting) and trace every system it touches downstream, every system that feeds it upstream, every dependency, every vendor, and every single manual step along the way. If you already know that you can't complete the trace, well… I mean, there ya go.
Find the wall outlet. What is the actual source of truth in your organization? I’m not talking about your backup database, I mean the source. If every system went down tomorrow, where would you go to reconstruct or stay in business? If the answer is “I don't know,” you're in a loop.
Test the DR plan by unplugging something. Not in production (I have to say this), but simulate the loss of a critical vendor or platform. See what actually happens. If the DR plan requires the same systems it's supposed to recover, you don't have a DR plan. You have a document with words on it, and you might not have that either.
Stop adding strips. Before you plug something else in, ask one question: does this reduce our dependency on the chain, or extend it by one more link? If it extends it, you are not innovating. You are adding load to a circuit that is already over capacity. I’m sorry, but you need to rewire that thing.
And there's always the obvious stuff. Invest in an electrician to add more outlets. Upgrade the grid. Upgrade the power box. Update your load capacity. Identify backup power sources. Use different rooms. Start unplugging the stuff you don't use.
Blah blah blah. We can’t do that. Why not just daisy-chain into someone else’s subscription model? Gotta cut all that CapEx, right?
So the practical fallback is to make sure the analog still works (even if it's collecting dust in the back).
I have an induction stovetop, but I keep a camping stove in the garage and charcoal on hand for the grill. I’m not about to be scrambling for smart devices just to cook food for my family.
Long story short, it’s better to have it and not need it than to need it and not have it.
The Final Word
The Daisy Chain Effect is not a failure of intelligence. It’s not just “stupid people doing dumb stuff at work.” I’m not trying to lecture some holier-than-thou condescending point.
I’m saying it's a structural failure.
Smart people, acting rationally within a system that punishes honesty and rewards inertia, will keep their work plugged into a chain they know is dangerous. They’ll do it because unplugging costs them, and the overload costs everyone else later.
But “later” always arrives. And when it does, the excuse won't be “we didn't know.” Everyone knew.
That's what a daisy chain is.
So what does your business do when the system loses power?