What is The Physical Economy?
What does the physical economy include?
The physical economy is best understood as one interconnected system, not a set of separate industries. Energy generation and grids, transport and industrial infrastructure, food and materials, and the compute infrastructure that runs modern software all depend on each other, and a change in one forces change across the rest.
Electrify transport at scale, and you place new demands on the grid. Strengthen the grid, and you change where and how industry can site itself. Shift how materials are made, and you alter both the energy each process consumes and the goods that move through transport networks. These sectors respond to each other because they share the same constraints, namely power, materials, land, and the physics of moving mass around.
Compute infrastructure now belongs firmly inside the physical economy. A data centre is not just software running somewhere abstract. It draws megawatts from a grid, needs cooling systems and water, and depends on where you can physically site it near power and connectivity. Data centres used 1.8 to 2.6% of total EU electricity in 2022 and around 4.4% of US electricity in 2023, a figure that could reach 6.7 to 12% by 2028 without efficiency gains. AI workloads are the reason, and that growth ties compute directly to energy generation and grids.
Seeing these sectors as one system explains why progress moves in waves. When cheap clean power arrives, it does not stay contained in energy. It ripples through transport, industry, and compute at the same time.
Why is the physical economy changing now?
Previous waves of industrial change moved one variable at a time. This one moves four together, and each makes the others cheaper and faster to deploy.
Clean power is now the cheapest electricity in most markets, which changes what you can afford to run and where you can build it. Solar and wind at low marginal cost make electrification economic in places where diesel or gas once won on price. That shifts demand onto the grid, which pulls in the second force.
Power electronics are improving at the pace of industrial manufacturing rather than the pace of lab research. Cheaper, denser converters and inverters let you route clean power precisely, which makes electric drivetrains, heat pumps, and grid-scale storage viable at scale. Chip-level power delivery is a live example: shortening the distance electricity travels from inches to millimetres can cut energy losses by up to 15% at the chip and up to 50% at the data centre. Better switching hardware lets more clean power reach more machines, so the first two forces compound rather than sit side by side.
AI is now reaching into physical systems, controlling grids, factories, and logistics networks that ran on fixed rules for decades. A model that optimises a distribution network in real time makes cheap power and flexible electronics more valuable, because it extracts more work from the same hardware.
New sensing and biology tools give you readings from physical and living systems that were opaque before. Cheap sensors and faster biological measurement feed the data AI needs to act, which closes the loop. Each force lowers the cost of using the next, and that is why the whole physical economy is moving at once rather than in isolated sectors.
How is the physical economy different from the digital economy?
In the digital economy, value ships when the code does. Copy a piece of software and the marginal cost approaches zero. The physical economy works differently. Value depends on atoms getting built, shipped and switched on, so a battery cell, a grid connection, or a fermentation tank only earns its keep once it physically exists and runs.
That difference shows up in cost, time, and how things fail. A software bug ships a patch overnight. A fault in a substation or a chemical plant costs weeks and real capital to fix. Physical projects carry upfront cost, long lead times, and consequences that land in the world rather than in a log file.
The interesting change is that software and AI now reach into these systems for the first time. Better control software, machine learning, and cheap sensing sit on top of physical assets that digitisation left alone for decades. The value still comes from the atoms. What has changed is how well you can design, run, and improve them.
Why does the physical economy matter to founders and investors?
Category-defining companies get built where a system shifts, because the shift resets who has the advantage. When cheap clean power, better power electronics and AI change how a market works, the incumbents lose the assumptions their businesses were built on. A founder who reads the new conditions correctly can win a market that looked closed a decade ago. Product execution still matters, but it decides who wins a market, not which markets are worth entering.
The harder advantage comes from reading market forces, industry dynamics and the system conditions that govern how a company scales. In the physical economy, a good product can still fail if the grid connection, the offtake contract, the supply chain or the regulatory path is not understood before capital is committed. The founders who build large businesses here treat those conditions as part of the design, not as obstacles they discover later.
The market is already large enough to matter. Roughly $6bn was invested into companies at the intersection of technology and the physical economy across the UK, Europe and the US in the twelve months to Q1 2026, up from $4.8bn the year before, with deal count rising from 361 to 445.
Systemiq Capital is a venture firm investing at Series A +/- across the UK, Europe and the US, backing founders in [Electrification](https://systemiqcapital.earth), [Decoding Nature] (https://systemiqcapital.earth) and [Applied AI] (https://systemiqcapital.earth). Our edge comes from understanding the market forces, industry dynamics and system conditions that shape a company's path to scale and commercial value. That is what [physical economy venture capital](https://systemiqcapital.earth) requires, and it is the lens we apply to every company we back.
Frequently asked questions
What is the physical economy?
The physical economy is the part of the economy where things are made, moved, grown and powered. It spans energy, industry, transport, buildings, food, materials and the compute infrastructure that AI now runs on. Software, AI and new hardware are redefining it as they reach systems that earlier waves of digitisation left untouched.
What is physical economy venture capital?
Physical economy venture capital backs founders building companies in the systems that make, move, grow and power the world. It differs from generalist software investing because value depends on hardware, industrial infrastructure and real-world deployment, so the investor's edge comes from understanding market forces, industry dynamics and the system conditions that shape scale.
How is the physical economy different from climate tech or cleantech?
Climate tech and cleantech describe an outcome, namely lower emissions. The physical economy describes the systems themselves, whether or not decarbonisation is the goal. Many physical economy companies do cut emissions, but the category is defined by energy, transport, food, materials and compute rather than by a climate objective.
Why does the physical economy matter now?
Cheap clean power, rapidly improving power electronics, AI reaching into physical systems and new sensing and biology tools are converging at the same time. When these forces compound, they reset the cost and capability of building, shipping and running physical systems, which is when category-defining companies tend to get built.
Who is Systemiq Capital?
Systemiq Capital is a venture firm investing at Series A plus or minus across the UK, Europe and the US. It backs founders in Electrification, Decoding Nature and Applied AI, drawing on a deep read of the system conditions that shape a company's path to scale.