Business news and discussion on TalkFuse.
Why over-optimised systems struggle when unexpected pressures hit
The article argues that relentless optimisation can make systems more fragile and create risks that are missed when efficiency is treated as the only goal. Keeping spare capacity may look wasteful in normal conditions, but it can help hospitals, transport networks and other systems cope when unexpected pressures arise.
It describes three traps: removing too much slack, defining “best” too narrowly, and allowing individually optimised parts to destabilise a whole system. England’s hospitals reached about 95% adult bed occupancy at the height of last year’s flu season; Milton Keynes has around 130 roundabouts that favour traffic flow but can make coach journeys uncomfortable. In the 2010 “flash crash”, the S&P 500 fell a further 5% in five minutes before recovering within ten, as automated trading responses interacted and liquidity evaporated.
In short
- Efficiency can leave vital systems short of reserves.
- Optimising what is easy to measure can overlook other costs.
- Automated decisions can combine to destabilise markets.
Steelman: both sides, in good faith
The strongest fair case each way — we don't pick a winner.
The case for
Optimising systems can reduce waste, cost and delay, freeing resources for other needs. In predictable settings, high utilisation may be a sensible use of limited capacity, and adding spare capacity everywhere could mean higher taxes, fares or prices without enough benefit. The examples show risks, but they do not by themselves establish how much reserve capacity is worth its cost.
The case against
Systems designed around peak efficiency can have too little room to absorb shocks, so a disruption may cause disproportionate harm across hospitals, transport or financial markets. Spare capacity can function as insurance: it may seem underused in ordinary conditions but help preserve safety and service when demand surges or components interact unexpectedly. Judging success only by routine efficiency can therefore overlook resilience and wider effects.
Explained simply
Systems such as hospitals, roads and financial markets are often organised to use resources efficiently. But when they run close to full capacity, they may have little room to absorb a sudden rise in demand or disruption.
The people making decisions may measure success differently: a hospital may focus on bed use, while a road system aims to keep traffic moving. Those choices can have wider effects, and automated decisions in one part of a system can interact with others in unexpected ways.
This matters because spare capacity can help systems cope when conditions change, even if it appears unused in ordinary times. Understanding that trade-off helps explain why efficiency alone may not show how well a system will handle pressure.
Business Culture Health Markets Medicine
Read the full article at the source →
Originally published by The Guardian as “The efficiency trap: why optimising everything can backfire, badly”.