For most of human history, wealth meant owning a bigger slice of a fixed pie. Land, water, forests, ore deposits, human labour – all of it was local, finite, and hard to move. If one city or empire became richer, it usually did so by extracting more from others: more tax, more tribute, more land, more slaves. The basic game was zero‑sum: your gain was my loss.

You can see this mindset even in the games we invented. Chess is a beautiful abstraction of a world built on scarcity. Both sides start with a fixed set of pieces on a fixed board. No new pieces appear. Nothing is created. The only way to advance is to simplify the world by taking something away from the other player. The endgame is literally the annihilation of the opponent’s most important piece. That is zero‑sum thinking in its purest, most elegant form.

As technology advanced, this picture slowly began to crack. The industrial revolution, electricity, chemistry, computing and global logistics all did something radical: they allowed us to grow the pie. New energy sources, new materials, new crops, new medicines, new information networks. Suddenly, cooperation could create outcomes that no one could reach alone. Game theory calls these non‑zero‑sum games: situations where smart collaboration can make everyone better off than pure competition would.

Yet even in this modern world, a deep layer of our political and economic thinking is still wired for scarcity. We feel it whenever we talk about “securing access” to critical materials, “controlling” supply chains, or “protecting” markets. The twenty‑first century resource scramble – for rare earths, battery metals, clean water, arable land – shows how easily we slide back into a zero‑sum mindset as soon as we hit hard planetary limits.

Now put that next to another fact: at the scale of our current civilisation, Earth is finite, but the inner Solar System is effectively open‑ended. In terms of energy and raw matter, the Sun and the asteroid belt offer more than enough to support a Kardashev Type I-II civilisation. From that perspective, the real strategic question is no longer “who controls the last deposits on Earth?”, but “who learns first how to tap into the resources beyond Earth – and how fast can that capability grow?”.

A Kardashev analogy for resources, not just energy

The Kardashev scale was originally created to classify civilisations by the amount of energy they can harness: Type I at the scale of a planet, Type II at the scale of a star, Type III at the scale of a galaxy. But the same logic applies if we extend the idea from pure energy to all key resources: metals, volatiles, structural materials, data, computation.

From that angle, the transition we face is not just a green energy transition. It is a resource‑geometry transition:

• From harvesting thin, scattered, politically contested deposits on a single planet.
• To harvesting thick, abundant, largely unclaimed deposits in a whole planetary system.

Seen this way, the biggest mistake would be to treat off‑Earth resources as just another arena for the same old zero‑sum geopolitics. If we copy the mindset of “who gets what share of a fixed pie” into space, we will waste decades on the wrong game.

The more interesting question is: what technologies and architectures remain useful for a Kardashev I–II civilisation, even if we are still only at ~0.7 today? Those are the technologies that deserve serious investment now.

Slow path vs fast path: people first, or machines first?
There are two broad paths to building a space‑enabled resource economy.

The slow path is intuitive: send people out, build habitats, and replicate familiar Earth‑based activities in orbit, on the Moon, or on Mars. This is inspiring, necessary for exploration, and politically attractive – but it is also extremely expensive and slow. Human bodies are fragile. Everything from air to water to radiation shielding has to be shipped, recycled and protected. Every kilogram is a cost.

The fast path is less romantic but more scalable:
build autonomous machine ecosystems that can operate, reproduce and improve themselves in space, using local materials as much as possible.

In this view, three technological pillars become truly strategic:

1. In‑space transportation: Reliable, efficient movement between orbits and bodies: tugs, transfer stages, depots, refuelling, debris‑avoidance, and traffic management. Without logistics, nothing compounds.
2. In‑space materials and manufacturing: Extracting and processing regolith, ice and metals; producing structural elements, propellants and radiation shielding from local matter; eventually manufacturing components in microgravity that are hard or impossible to make on Earth.
3. Autonomous, self‑directed systems (AI + robotics): Machines that can plan, decide and act with minimal human supervision: prospecting, mining, construction, maintenance, fault recovery. Deep‑space missions already rely on increasing autonomy because of the communication delay; this trend will only accelerate.

The real breakpoint is this:
when the effective reproduction rate of such machine systems becomes greater than 1 / when each generation of hardware can build slightly more than one replacement generation from local resources – growth becomes exponential in a practically unlimited environment. At that moment the true Kardashev game begins, not as science fiction, but as industrial dynamics.

From then on, optimisation means improving both the “exponent” (growth rate) and the “mantissa” (quality, efficiency, and versatility of each generation).

Humans and AI as partners in different habitats

In this picture, AI is not an abstract threat but a necessary counterpart.

Humans will, for the foreseeable future, remain Earth‑anchored for the most delicate tasks: designing chips and algorithms, prototyping new systems, running complex political and ethical decision‑making, and maintaining the precision manufacturing chains that produce advanced electronics. This is what our environment and our biology are good at.

Autonomous systems, by contrast, will naturally gravitate outward: into orbits, onto the Moon and asteroids, into deep space. That is where radiation is harsh, communication is delayed, and logistics are unforgiving – conditions that suit machines much better than unmodified human bodies.

The partnership is clear:

• We build intelligence and precision here.
• They build infrastructure and abundance out there.

If we design this relationship well, with built‑in safety, transparency and control layers, then for the first time in history we can move large parts of our resource extraction, heavy industry, and even energy‑intensive computing off‑planet. That is not just sci‑fi ambition. It is a plausible route out of the current trap where every gain by one actor on Earth feels like a loss for someone else.

Competing less with each other, more with time. The deepest mental shift is this: