Technology Is Geology: Why Critical Minerals Are the Biggest Risk to AI, EVs, and the Net Zero Economy

What Does "Technology Is Geology" Mean?

Every ChatGPT query is a mining operation. Not metaphorically. Physically.

Electricity pulled through tons of copper. Transmitted via silver contacts. Cooled by rare earth magnets. Every single prompt. Every single time.

We talk about "the cloud" as though it floats above us — weightless, infinite, effortless. But the cloud doesn't float. It's bolted to the earth. It's wired with copper. It's cooled by water. And the materials that make it work are dug out of the ground in some of the most geopolitically complex regions on the planet.

The phrase "technology is geology" from my IMARC 2025 keynote captures a critical and often overlooked reality: every major technology trend of the 2020s and 2030s — artificial intelligence, electric vehicles, renewable energy, and grid electrification — depends on physical minerals extracted from the earth. The digital economy is, at its foundation, a mining economy.

This is the second-order story that almost no one in business is paying attention to. And it might be the most important megatrend of the next decade.

Why Are Critical Minerals the Bottleneck for AI and the Energy Transition?

We are in the middle of the biggest simultaneous demand surge for critical minerals in human history. And it's not being driven by one megatrend. It's being driven by all of them — at the same time.

AI and data centres. Electric vehicles. Renewable energy and wind turbines. Grid electrification. Battery storage. Defence systems. Net zero commitments.

Every one of these requires copper, lithium, cobalt, nickel, rare earth elements, and graphite. And every one of them is scaling at once.

According to the International Energy Agency's Global Critical Minerals Outlook 2025, demand for lithium is projected to grow fivefold by 2040. Demand for rare earth elements is expected to increase 50–60%. Copper demand will rise 30%, but existing and planned mines are only projected to meet approximately 70% of 2035 demand.

S&P Global has identified a potential 10-million-tonne copper supply deficit by 2040, describing it as a "systemic risk for global industries, technological advancement, and economic growth."

That collision — between exponential digital ambition and finite physical supply — is the defining tension of the next decade of business, geopolitics, and leadership.

How Much Copper Does AI Actually Use?

Copper is woven into every layer of data centre infrastructure: power distribution, wiring, busbars, electrical connectors, grounding systems, and cooling.

Data centre copper demand is projected to increase from 1.1 million metric tonnes in 2025 to 2.5 million metric tonnes by 2040, according to S&P Global. By 2030, AI training-related copper demand will account for 58% of total data centre copper consumption.

A single hyperscale data centre can consume thousands of tonnes of copper. As AI racks become more power-dense, the copper footprint per facility continues to grow. Microsoft's $500 million Chicago data centre, for example, used approximately 2,177 tonnes of copper — roughly 27 tonnes per megawatt of power capacity.

And the demand extends far beyond the data centre walls. Every new facility requires grid connections, substations, and transmission infrastructure — all of which are copper-intensive. The copper crunch is not just about server components. It's about the entire electrical grid that supports the digital revolution.

Why Are Electric Vehicles and Renewables Making the Problem Worse?

The mineral demand from AI is colliding with equally massive demand from the clean energy transition.

A typical electric car requires six times the mineral inputs of a conventional vehicle. An onshore wind farm requires nine times more mineral resources than a gas-fired plant. Since 2010, the average mineral requirement for a new unit of power generation capacity has increased by 50%.

The IEA projects that in a scenario consistent with the Paris Agreement, the energy sector's share of total demand rises to over 40% for copper and rare earth elements, 60–70% for nickel and cobalt, and almost 90% for lithium by 2040.

EVs and battery storage have already displaced consumer electronics as the largest consumer of lithium and are set to overtake stainless steel as the largest end user of nickel by 2040. Meanwhile, growing demand for permanent magnets — particularly from EVs and wind power — is driving surging demand for neodymium, praseodymium, dysprosium, and terbium.

The core challenge is simultaneity. These are not sequential trends. They are concurrent, competing demands on the same finite pool of resources.

What Is the Geopolitical Risk of Critical Mineral Concentration?

This is not just an economics story. It is a power story.

China dominates the refining and processing of most critical minerals — including over 70% of rare earth production. The IEA's analysis is stark: if the largest supplier is removed from the equation, remaining global supplies cover only 35–40% of demand for graphite and rare earth elements, and less than 55% for nickel.

In 2010, China cut rare earth export quotas and halted shipments to Japan over a territorial dispute. Prices spiked tenfold within a year. In April 2025, China placed new export restrictions on seven categories of rare earths in response to US tariffs — demonstrating that this playbook is very much still in use.

The IEA warns that a sustained supply shock for battery metals could increase global average battery pack prices by 40–50%, significantly slowing electrification and EV adoption worldwide.

The nations and organisations that secure access to critical mineral supply chains will not just be better positioned for the energy transition. They will be the ones who control the pace of AI deployment, electrification, and industrial competitiveness for the next 20 years.

Why Does a New Copper Mine Take 29 Years While AI Moves in Months?

This is perhaps the most underappreciated tension in the modern economy.

The average timeline to develop a new copper mine — from discovery through permitting, construction, and production — ranges from 16 to 29 years depending on jurisdiction. In the United States, the average is 29 years, the second longest in the world.

Meanwhile, the AI revolution operates on a timeline measured in months. New models, new capabilities, and new infrastructure demands are emerging quarterly. Agentic AI capability is doubling roughly every three months.

This mismatch between geological timelines and digital timelines is not a detail. It is the defining structural constraint of the next era of technology and business. Current mine project pipelines are not keeping pace with projected demand, and the gap is widening.

Copper prices have already climbed above $11,000 per tonne — up from around $8,500 two years ago — and investment banks project further increases through 2026 and beyond.

What Should Business Leaders Do About Critical Mineral Risk?

Leaders navigating digital transformation, electrification, and sustainability commitments need to recognise that their strategies have a physical supply chain underneath them. Three actions are essential.

1. Map your mineral exposure. Every digital transformation strategy has a physical supply chain underneath it. Whether you are deploying AI, electrifying your fleet, or building renewable infrastructure — understand which critical minerals you depend on, where they come from, and what happens if supply tightens. This is no longer a procurement question. It is a board-level strategic risk.

2. Watch the collision, not just the trends. AI, EVs, renewables, and grid electrification are each massive trends on their own. But the second-order impact — the fact that they are all competing for the same finite pool of minerals simultaneously — is what creates systemic risk. The leaders who see around corners are the ones watching intersections, not just individual lanes.

3. Think in decades, not quarters. A new copper mine takes up to 29 years to develop. A new AI model takes months. This mismatch between geological timelines and digital timelines is perhaps the defining tension of the next era of business. The organisations that plan for it now — through supply chain diversification, circular economy strategies, and strategic partnerships — will have an enormous compounding advantage.

The Bottom Line: Technology Is Geology

We spend a lot of time talking about what AI can do. We do not spend nearly enough time asking what AI is made of.

The future is not just code. It is copper, lithium, cobalt, and neodymium. It is the 17 rare earth elements that make permanent magnets work in wind turbines and EV motors. It is the silver contacts in your server. It is the graphite in every battery.

Technology is geology. And the organisations that understand the connection between their digital ambitions and the physical constraints of the planet will be the ones that lead, rather than react.

The future belongs to those who understand both.

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Anders Sörman-Nilsson is a futurist, keynote speaker, and strategic advisor who helps organisations navigate AI adoption, innovation culture, and the future of work. His "Decoding Tomorrow" newsletter provides weekly frameworks for leaders preparing for exponential change. To book Anders for your next conference, leadership summit, or strategy session, send us an email now. 

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Frequently Asked Questions

What does "technology is geology" mean?

Technology is geology is a framework developed by futurist Anders Sörman-Nilsson that captures the overlooked physical reality behind digital transformation. Every major technology trend — from AI and data centres to electric vehicles and renewable energy — depends on critical minerals extracted from the earth. The cloud is not ethereal. Every AI query runs on electricity transmitted through copper wiring, via silver contacts, and cooled by systems relying on rare earth magnets. The digital economy is, at its foundation, a mining economy.

What are the most important critical minerals for AI and the energy transition?

The most important critical minerals for AI infrastructure and the energy transition include copper (wiring, power distribution, cooling, and grid connections), lithium (batteries for EVs and energy storage), cobalt and nickel (battery cathodes), graphite (battery anodes), and rare earth elements such as neodymium, praseodymium, dysprosium, and terbium (permanent magnets for EV motors and wind turbines). Copper is the single most in-demand mineral across all major technology megatrends simultaneously.

How much copper do AI data centres use?

Data centre copper demand is projected to increase from 1.1 million metric tonnes in 2025 to 2.5 million metric tonnes by 2040, according to S&P Global. By 2030, AI training-related demand will account for 58% of total copper consumed by data centres. A single hyperscale data centre can use thousands of tonnes of copper for wiring, power distribution, cooling systems, and grounding infrastructure.

Is there a copper shortage in 2026?

Yes. Wood Mackenzie has forecast a 304,000-tonne refined copper deficit for 2025, with a wider gap expected in 2026. The IEA's critical minerals outlook indicates that existing and planned mines are only projected to meet approximately 70% of 2035 copper demand. S&P Global warns of a potential 10-million-tonne cumulative copper deficit by 2040, which they describe as a systemic risk for global industries and economic growth.

Why does a new copper mine take so long to develop?

The average timeline to develop a new copper mine ranges from 16 to 29 years depending on jurisdiction, encompassing discovery, environmental assessment, permitting, construction, and ramp-up to production. In the United States, the average is 29 years — the second longest in the world. This creates a fundamental mismatch with the pace of digital transformation, where new AI models and capabilities emerge in months rather than decades.

What happens if there is a critical mineral supply shock?

According to the IEA, a sustained supply shock for battery metals could increase global average battery pack prices by 40–50%, significantly slowing electrification and EV adoption. In 2010, when China restricted rare earth exports, prices spiked tenfold within a year, disrupting industries worldwide. China controls over 70% of global rare earth production, and without its supply, remaining global sources would cover only 35–40% of demand for graphite and rare earths.

Why are AI, EVs, and renewables all competing for the same minerals?

AI data centres, electric vehicles, wind turbines, solar infrastructure, battery storage, and electrical grid expansion all require large quantities of the same critical minerals — particularly copper, lithium, cobalt, nickel, and rare earth elements. The unprecedented challenge is that these megatrends are scaling simultaneously rather than sequentially, creating compounding demand on finite supply. A typical EV requires six times the mineral inputs of a conventional car, while an onshore wind farm requires nine times more mineral resources than a gas-fired plant.

How can organisations prepare for critical mineral supply risk?

Organisations should take three strategic actions. First, map their mineral exposure by identifying which critical minerals their technology stack and electrification plans depend on and assessing supply chain concentration risk. Second, monitor the collision between megatrends, recognising that AI, EVs, renewables, and grid expansion are competing for the same minerals simultaneously. Third, think in decades rather than quarters — investing in supply chain diversification, circular economy strategies, and strategic partnerships to build compounding advantage before supply constraints intensify.