I created this real estate tour demo with an AI tool called
@TourEstateAI . I'm fascinated with the model because it can create a lot of architectural renders such as orthographic projections, 3D plans, microstructures, and animated plans.
As a mechanical engineer, I'm deeply interested in how AI will augment hardware engineering, especially in critical sectors like architecture, manufacturing, and material science.
AI is already being integrated into a lot of sectors such as aerospace and automotive engineering. Tesla and SpaceX are perfect examples of this, with Tesla ditching LiDAR for AI-enabled camera vision.
SpaceX is also employing AI for real-time adaptation. Onboard computers ingest terabytes of data from flight sensors to adjust for wind speed, atmospheric conditions, and unexpected turbulence, along with trajectory optimization. The rockets run a customized flight-code algorithm called G-FOLD (Guidance for Fuel-Optimal Large Diverts). This allows the booster to mathematically determine its own optimal descent path mid-air to ensure it hits the drone ship while consuming the absolute minimum amount of fuel.
These are just a few examples of how AI is being utilized in deep tech. We're also seeing the meteoric rise of AI-integrated robots such as Figure 01, Figure 02, Figure 03, and Tesla's Optimus.
The Chinese are also experimenting heavily, and by all counts I expect them to have a fully automated economy by 2040 or earlier.
This exponential growth gives rise to a new question: are we going to have a fully automated economy, or, taking it a step further, a fully autonomous economy run by an ASI or groups of ASIs?
I don't know about the West, but I know for sure the Chinese are already preparing themselves for this.
What is a fully autonomous economy? This term may mean different things to different people, but this is how Claude describes a fully autonomous economy:
It is one where AI agents, not humans, are the primary actors driving economic activity. Production, distribution, pricing, hiring, investing, negotiating, and even innovation happen through interconnected systems of intelligent agents operating with minimal to zero human intervention.
It's not automation in the old sense. Robots on assembly lines replacing specific tasks. It's something deeper: the entire economic nervous system becoming self-executing.
What It Actually Looks Like
Think of every economic action that currently requires a human decision, a purchase order, a hiring call, a market trade, a contract negotiation, a customer support resolution, a supply chain reroute. Now imagine agents handling all of it end-to-end, in real time, across millions of simultaneous transactions, learning and adapting as they go.
Companies wouldn't just use AI tools. Companies would be AI, a thin layer of human intent sitting on top of a dense autonomous operational stack.
The Key Building Blocks
For a truly autonomous economy to function, several things have to converge:
Agentic AI with reliable tool-calling, agents that can take real actions in the world, not just generate text. Booking, paying, executing, routing, filing.
Agent-to-agent communication, AI systems that can negotiate, transact, and coordinate with other AI systems without human mediation. Entire supply chains running as agent meshes.
Autonomous finance, smart contracts, algorithmic treasury management, AI-driven capital allocation, and eventually agents that can own economic resources and enter binding agreements.
Continuous learning infrastructure, systems that improve from market feedback in real time, not in quarterly model updates.
A fully autonomous economy quietly dismantles several things we take for granted. It gives rise to thought-provoking questions such as: if agents can perform most knowledge work and increasingly physical work, human labor loses its position as the primary input in the economy. Why maintain a 500-person operations team when an agent mesh handles it at a fraction of the cost and latency?
If agents are optimizing spending, saving, and investment faster than central banks can react, the levers governments currently pull become much less effective.
The uncomfortable question at the center of all this is: who is the economy for at that point?
If production is autonomous, distribution is autonomous, and capital allocation is autonomous, and humans are no longer primary inputs, then the economy becomes a self-sustaining machine that generates abundance without automatically distributing it.
That's not a technical problem. It's a governance problem. And it's arguably the most important question of the next 30 years.
Silicon Valley elites are already asking these thought-provoking questions. For instance, Dario Amodei said AI will turbocharge the world's GDP, but at the same time it will dislodge much of the labor force.
This is no small change to dismiss at face value. When the world's economy is fully operated by an AI or powerful AI systems with complete production and logistical dominion, and humans are no longer needed, what will its impact on society be, and how will the world react to this?
One could say this is an extreme scenario and that we're nowhere close to achieving it. It's incumbent upon us to be well prepared for any eventuality and to control the outcomes delicately, or we could see the entire globe thrown into economic and social chaos on a cataclysmic scale.
On a positive note, a fully autonomous economy should usher in an age of economic prosperity and scientific exploration the likes of which the world has never seen.
So buckle up. The story is just starting. The old era is done. A new Tower of Babel is about to emerge.