Arrival Is Emotional. Survival Is Fixed Cost.
Follow the S-Curve
Arrival Is Emotional. Survival Is Fixed Cost.
Follow the S-Curve
A few years ago, buying an electric vehicle felt like a statement. You weren't just buying a car — you were buying a position. Lower impact. Lower guilt. A small, visible bet that you were on the right side of the future.
That's a real reason to buy something. It's just not a real reason for an innovation to survive.
Here's the pattern I keep finding, industry after industry, case after case: an innovation arrives on an emotional need, but it only stays if it reduces fixed cost. Those are two different tests, and most people only ever check the first one.
The Two Questions Every S-Curve Has to Answer
When something new shows up — a technology, a product category, a way of working — it has to clear two separate hurdles, usually years apart.
Hurdle one: why did anyone try it?
This is almost always emotional. Status, identity, hope, fear, belonging, guilt relief. Early adopters aren't doing a cost-benefit analysis; they're making a statement about who they are or want to be. That's not a criticism — it's just how liftoff works. Nothing climbs the early part of an S-curve on spreadsheets.
Hurdle two: why does anyone keep it?
This is where fixed cost takes over, whether the buyer realizes it or not. Does the thing actually lower the recurring cost of doing what it does — time, money, labor, energy, risk? If yes, the curve keeps climbing after the early adopters move on to the next identity purchase. If no, the curve stalls, flattens, or reverses the moment the emotional premium stops being enough to carry it.
The tell is simple: if the reason you bought it and the reason you'd need to keep it are different things, the innovation is still riding on the purchase, not standing on the economics.
The EV Case
EVs are a clean example because the two hurdles are so easy to separate.
Arrival reason: lower the environmental impact of driving. That's an emotional, values-based purchase — a hold reason, not a structural one. It answers "why did I buy this," not "why is this cheaper to operate than the alternative, forever."
Survival test: does an EV actually lower fixed cost?
Time. Gasoline refueling is a five-minute transaction. Charging is a scheduling problem — home charger installation, planning around trip length, waiting at a station on longer drives. Time is a fixed cost like any other, and this version of the technology adds to it rather than removing it.
Energy source. In a grid still substantially powered by coal, the emissions haven't been eliminated — they've been relocated upstream to the power plant, with conversion and transmission losses added on top. The externality didn't go away. It moved and got a markup.
Net result. The two things an EV was supposed to fix — cost of driving and cost to the environment — haven't structurally improved for a meaningful share of buyers. What's improved is the story about the purchase.
That's why you're now seeing EV adoption curves flatten or dip in several markets. Not because people stopped caring about the environment — because the emotional premium that got the curve moving was never converted into a fixed-cost advantage that could carry it the rest of the way.
Why This Matters Beyond Cars
The pattern isn't specific to EVs. Solar succeeded past its own emotional-purchase phase because it eventually did lower a fixed cost — the electric bill — independent of how anyone felt about it. Remote work is persisting in the roles where it demonstrably lowers fixed cost (office square footage, relocation, hiring radius) and reversing in the roles where it doesn't. Same curve, same test, different technology.
Which brings me to the one everyone's actually asking about right now.
AI Is Going to Run the Same Curve
Right now, AI is deep in hurdle-one territory. The framing is almost entirely emotional — utopian in the optimistic corners, existential in the anxious ones. People are excited about what it could mean for how we work, what we're capable of, what gets easier. That excitement is real, and it's exactly what gets any S-curve off the ground. It is not, on its own, what keeps it climbing.
The S-curve doesn't know it's AI. It doesn't care about the discourse. It only asks the same question it's asked of every innovation before it: did the fixed cost actually go down?
Not "does this feel transformative" — ask five people in five different rooms and you'll get five different answers, none of them falsifiable. Ask instead: does this measurably collapse headcount, coordination overhead, decision latency, or error rate? That question has one answer, and it's the one that predicts what survives past this hype cycle and what gets remembered as this decade's version of the EV chart that flattened.
The tools that make it through won't be the ones that made the best case for a better future. They'll be the ones some finance department can point to and say: this line item is smaller than it used to be, and it stayed that way.
The Question to Ask Next Time
Before you bet on an innovation — as a buyer, an engineer, or an investor — separate the two questions:
Why is this arriving? (Usually emotional. Fine. That's how liftoff works.)
What fixed cost does this actually reduce, and can you measure it? (If you can't answer this one, you don't know if you're looking at a technology or a mood.)
Ask it about EVs. Ask it about remote work. Ask it about whatever AI tool is showing up in your feed this week claiming to change everything. The curve only cares about one of those two questions in the long run — and it's never the one that got the innovation in the door.
Herbert Roberts, P.E. is a licensed professional engineer with 30+ years in aviation research and development across two companies, and has spent eight years analyzing accidents for attorneys under his P.E. license.