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Why Fully AI/Robotics Corporations Will Dominate: The ‘Computer' Analogy | Taha Abbasi
“Computer” used to be a job title. Before the silicon revolution, entire rooms of human beings sat at desks performing mathematical calculations by hand. They were called “computers” — and they were essential to everything from ballistic trajectories to astronomical tables. Then machines replaced them. Every single one of them.
Taha Abbasi has been watching this pattern repeat in real-time. The same transformation that eliminated human computers in the mid-20th century is now accelerating across every industry — and the companies that fully embrace AI and robotics, removing humans from the loop entirely, will dominate those that don’t.
This insight was crystallized by @xfreeze on X:
Credit: @xfreeze for the original thread inspiring this analysis.
The Original “Computers”: A Forgotten History
In the 1940s and 1950s, “computer” was a profession. Organizations like NASA’s Jet Propulsion Laboratory, insurance companies, and military installations employed hundreds of human calculators — predominantly women — who performed complex mathematical operations using pencil, paper, and mechanical adding machines.
These human computers were remarkably skilled. They calculated artillery firing tables, processed census data, and enabled early space missions. Katherine Johnson, featured in Hidden Figures, exemplified this profession at its peak.
Then ENIAC arrived. Then UNIVAC. Then the transistor.
Within two decades, the entire profession vanished. Not reduced — eliminated. The electronic computer didn’t just do the job faster; it did it millions of times faster, with perfect consistency, 24 hours a day, at a fraction of the cost per calculation.
No amount of human skill could compete. The transition wasn’t gradual coexistence — it was total replacement.
Why the Pattern Repeats: AI and Robotics
Today’s equivalent isn’t arithmetic — it’s everything else.
Artificial intelligence and robotics are reaching the inflection point that electronic computers reached in the 1950s. The capabilities that seemed like science fiction five years ago — conversational AI, autonomous vehicles, humanoid robots performing physical labor — are now operational realities.
Taha Abbasi sees the engineering trajectory clearly: just as electronic computers outperformed human computers by orders of magnitude, AI systems will outperform human workers in nearly every measurable dimension:
- Speed: AI processes information millions of times faster than humans
- Consistency: No fatigue, no bad days, no variation in quality
- Cost: Once deployed, marginal cost approaches zero
- Scalability: Duplicate infinitely without training new employees
- Availability: 24/7/365 operation with no breaks, no benefits, no turnover
The question isn’t whether this transformation will happen. It’s which companies will embrace it first — and which will be left behind.
The Economics of Fully Automated Corporations
Consider two hypothetical manufacturing companies:
Company A employs 10,000 workers at an average cost of $60,000/year including benefits and overhead. Annual labor cost: $600 million. They experience turnover, training costs, quality variation, union negotiations, sick days, and scheduling constraints.
Company B deploys 10,000 robots with an amortized cost of $20,000/year per unit including maintenance and power. Annual operating cost: $200 million. They operate continuously, produce consistent quality, and scale by ordering more units.
Company B doesn’t just have a 67% cost advantage — they have an accelerating advantage. Every year, their robots improve through software updates. Every year, new robot models get cheaper and more capable. Company A’s labor costs, meanwhile, only go up.
This is the mathematical reality that Taha Abbasi recognizes: fully automated corporations aren’t just more efficient today — their efficiency advantage compounds over time. Human-in-the-loop companies face a widening gap that eventually becomes insurmountable.
Tesla’s Position: The Full Stack Automation Play
Among large corporations, Tesla is positioning most aggressively for the fully automated future — and this is no accident.
Tesla isn’t just building electric vehicles. They’re building the infrastructure for complete automation:
- Optimus: A humanoid robot designed for general-purpose physical labor. Unlike specialized industrial robots, Optimus can theoretically perform any task a human can — operating in environments designed for human workers, using human tools, navigating human spaces.
- Full Self-Driving (FSD): Autonomous capability that eliminates the need for human drivers — not just in Tesla vehicles, but potentially across all transportation.
- Dojo: Tesla’s custom AI supercomputer, purpose-built for training neural networks. This represents vertical integration of the AI training stack — Tesla isn’t dependent on Nvidia or cloud providers for their compute.
Taha Abbasi has analyzed Tesla’s approach extensively: what Elon Musk is building isn’t just a car company or even a robotics company. It’s the infrastructure for fully automated corporations. Tesla factories could eventually build Teslas using Optimus robots, trained on Dojo, with materials transported by autonomous vehicles.
The entire production loop — from raw materials to finished product — could operate without a single human in the chain.
Other Companies Positioning for the Shift
Tesla isn’t alone, though they may be furthest along the integration path.
Amazon has aggressively automated warehouses with Kiva robots and is developing autonomous delivery vehicles. Their vision clearly includes minimal human involvement in the entire logistics chain.
Boston Dynamics creates some of the most advanced robots in the world — Atlas, Spot, and Stretch — though they lack Tesla’s manufacturing scale and vertical integration.
Figure and Agility Robotics are racing to develop humanoid robots for commercial deployment, with Figure recently partnering with BMW and OpenAI.
NVIDIA powers the AI infrastructure that makes this possible, though they remain a supplier rather than an end-to-end operator.
The common thread: every serious player recognizes that the future belongs to automated systems, not human-scale operations.
Implications for Employment and Economy
The transition from human computers to electronic computers displaced thousands of workers. The transition from human labor to AI/robotics could displace hundreds of millions.
This isn’t alarmism — it’s arithmetic. If fully automated corporations are 3x more efficient, they will inevitably capture market share from human-dependent competitors. Those competitors either automate or die. Either path results in fewer human jobs.
Historically, technological transitions created new categories of employment. The automobile eliminated horse-related jobs but created manufacturing, maintenance, and service industries. The internet eliminated retail jobs but created tech jobs.
But AI and robotics are different in a critical way: they’re general-purpose technologies that improve at everything simultaneously. Previous transitions displaced specific categories while creating others. AI threatens to be better than humans at most cognitive tasks while robots handle physical tasks — leaving fewer categories for human advantage.
Society will need to grapple with fundamental questions about work, income, and meaning that previous generations could defer. Taha Abbasi believes these conversations should be happening now, while there’s still time to prepare.
The Counterarguments: Creativity, Judgment, and Oversight
Critics argue that humans will always be necessary for:
- Creativity: AI can’t truly innovate or imagine new possibilities
- Judgment: Complex ethical and strategic decisions require human wisdom
- Oversight: Someone needs to monitor and correct automated systems
These arguments deserve serious consideration — and serious skepticism.
On creativity: current AI systems are already producing novel art, music, code, and scientific hypotheses. They may not experience creativity subjectively, but they produce creative outputs. For most commercial purposes, that’s what matters.
On judgment: humans are notoriously poor at judgment under uncertainty. We’re subject to cognitive biases, emotional states, and fatigue. AI systems make consistent decisions based on all available data. In many domains, that’s demonstrably superior judgment.
On oversight: the oversight argument assumes humans can meaningfully monitor systems operating at machine speed and scale. A single AI system making millions of decisions per second can’t be “overseen” in any traditional sense. Oversight will increasingly mean designing systems correctly upfront, not monitoring them in real-time.
Human computers also had defenders who argued that machines couldn’t match human reliability, intuition, or error-checking. They were wrong. The pattern suggests current arguments about human irreplaceability will prove similarly incorrect.
The Verdict: Adapt or Be Outcompeted
The corporations that will dominate the next century are those that most fully embrace AI and robotics — removing humans from operational loops wherever possible.
This isn’t a prediction about technology. It’s a prediction about competition. When fully automated companies can produce goods and services at a fraction of the cost, with higher quality and faster iteration, human-dependent companies cannot survive long-term.
Just as no company today employs rooms of human computers, no company in 2050 will employ humans for tasks that AI and robots can perform. The transition may be gradual in some sectors and rapid in others, but the direction is mathematically inevitable.
Taha Abbasi continues to track this transformation through real-world testing and analysis of frontier technology. The evidence points in one direction: fully automated corporations will dominate, and the winners will be those who position earliest and most aggressively for that future.
Tesla appears to understand this better than most. Whether they execute successfully remains to be seen — but their strategic vision is correct.
The age of human computers ended. The age of human workers will follow the same path.
For more analysis on Tesla, autonomy, and frontier technology, subscribe to Taha Abbasi’s YouTube channel.
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Taha Salahuddin Abbasi
Engineer. Builder. Architect.
