The Cost of Intelligence Is Falling
AI’s footprint is growing, but the cost of intelligence is falling. Which trend matters most?
AI consumes significant energy, water and infrastructure, and those costs are real.
New generations of AI are becoming dramatically more efficient.
Leaders should focus less on AI’s footprint and more on whether its outcomes justify its cost.
Every few months another headline appears warning that AI is consuming too much electricity, too much water, or too many resources.
The implication is usually the same.
AI is bad for the planet.
There is truth in that claim.
Training and operating large AI models requires enormous computing infrastructure. Data centres consume electricity. Cooling systems use water. New facilities require land, construction materials and transmission infrastructure.
According to the International Energy Agency, data centre electricity demand is expected to grow significantly over the coming decade, driven largely by AI workloads.
The environmental costs are real.
Ignoring them helps nobody.
But there is another side to the story.
The Headlines Aren’t Wrong
Most public discussion focuses on total consumption.
More data centres.
More power.
More water.
What gets overlooked is that the technology itself is improving at an extraordinary pace.
Every generation of AI hardware performs more work with less energy. Every generation of AI software becomes more efficient. Every generation of AI models delivers more capability from the same infrastructure.
This is not unique to AI.
It is the pattern that has defined computing for decades.
The environmental cost per unit of intelligence is falling.
That distinction matters.
But They Miss Something Important
Cars became more fuel efficient.
Computers became more energy efficient.
Air travel became more fuel efficient.
Yet society ultimately used more of each because they became more useful, more accessible and more affordable.
AI is likely to follow the same path.
Even if individual AI tasks become dramatically more efficient, total usage may continue to grow because the technology becomes increasingly valuable.
Which means two things can be true at the same time.
AI is becoming greener.
AI is consuming more resources.
We’re Asking The Wrong Question
The debate around AI often starts with the wrong question.
“Is AI sustainable?”
Nobody asks whether hospitals are sustainable.
Nobody asks whether universities are sustainable.
Nobody asks whether the internet is sustainable.
All of them consume resources.
The real question is whether the value they create justifies the resources they consume.
AI should be evaluated the same way.
Not Every Outcome Is Worth The Cost
Using AI to generate endless streams of low-value content is very different from using AI to improve logistics, optimise energy systems, reduce waste, accelerate scientific discovery or increase productivity.
The technology is the same.
The outcome is not.
Research highlighted by the International Energy Agency suggests AI could improve electricity networks, building efficiency, industrial processes and transportation systems.
Researchers publishing in Nature Communications also found significant opportunities for AI to improve energy efficiency in buildings, one of the world’s largest sources of emissions.
If AI helps reduce waste across the broader economy, then the comparison is not between AI emissions and zero.
It is between AI emissions and the emissions that never occur because better decisions were made.
The Market Is Doing Its Job
My instinct has always been that markets eventually determine what survives.
Every AI provider must pay for chips, electricity, buildings, cooling systems and talent.
If those inputs become expensive, providers have a powerful incentive to reduce consumption and improve efficiency.
Competition rewards those who can deliver more intelligence with fewer resources.
That is one reason computing has become relentlessly more efficient over time.
Markets are remarkably good at squeezing waste out of systems.
But they are not perfect.
Carbon emissions, water scarcity and local environmental impacts are not always reflected in the price of a transaction.
That does not invalidate markets.
It simply means leaders should understand their limitations.
Someone Still Has To Decide What’s Worth Doing
For CEOs, CFOs and boards, the environmental debate around AI is not really about AI.
It is about stewardship.
Every organisation consumes resources in pursuit of outcomes.
Capital.
Energy.
Materials.
Talent.
Time.
AI is simply another input.
The challenge is ensuring the value created exceeds the resources consumed.
The environmental cost of AI is real.
The value of AI can also be real.
Leadership requires understanding both sides of the ledger.
What We Do With It Matters
AI is neither an environmental catastrophe nor a free lunch.
It is infrastructure.
Like every major technology before it, it consumes resources while simultaneously becoming more efficient.
The environmental debate should not be about whether AI exists.
It should be about whether we are using increasingly affordable intelligence to create outcomes that are genuinely worth the cost.