The world speaks. Reality responds.
1 November 2026
The future sounds wonderful.
Artificial intelligence will handle the paperwork. Robots will run the factories. Automated systems will manage operations while humans enjoy something they have been promised for generations.
More free time.
Perhaps even a shorter working week.
There is just one small detail.
The machines have expenses.
The future has an electricity bill
An AI system may not need a salary, but the computers running it need electricity.
Data centers require cooling. Servers need maintenance. Hardware eventually needs replacing. Networks, buildings and electrical infrastructure do not maintain themselves.
Automation can reduce certain labor requirements. It does not eliminate the physical resources required to operate a system.
The interesting part is how easily the conversation moves from “machines can perform more work” to “humans may no longer need to work.”
Those are two different statements.
And somewhere between them sits an electricity bill.
Congratulations. The work is automated.
Imagine a factory that once employed 500 people.
New machinery allows the same production process to operate with far fewer workers.
Productivity improves. Some operating costs may decline. The company might become more competitive.
But what happens to the financial benefits?
They could support higher wages, lower prices, shorter working hours, additional investment or larger returns to owners.
The technology alone does not decide.
The ownership structure, commercial decisions, labor arrangements and public policies matter too.
The factory may have solved a production problem.
That does not automatically mean society has solved an income problem.
The robot is not shopping
There is another amusing possibility.
Imagine an economy in which companies celebrate replacing workers with machines.
Production becomes faster. Products become cheaper to manufacture. Investors applaud.
Then someone in the meeting asks a slightly inconvenient question.
Who is buying everything?
Robots may produce goods, but they are not ordinary household consumers earning wages and deciding what to buy for dinner.
Of course, an economy does not depend exclusively on wages. Income also comes from business ownership, investments, transfers and other sources.
But when automation changes how income is earned and distributed, the question of purchasing power does not simply disappear.
It moves somewhere else in the system.
Possibly into another meeting.
The future is not free. It is financed.
The promise of automation deserves serious attention.
Technology can improve safety, reduce repetitive work, increase output and make valuable services more accessible.
Those possibilities are worth investigating.
But productivity is not the same as prosperity, and technical capability is not the same as economic distribution.
A world with less human labor could be a world with more leisure.
It could also be a world in which people continue working in different occupations, while the financial gains from automation are distributed unevenly.
The outcome depends on decisions that do not come preinstalled with the robots.
And that is what makes the conversation interesting.
The future is often presented as a technology demonstration.
Reality keeps asking for the operating model.
One last question
Technology: Humans won’t need to work anymore!
Reality: Wonderful. Who pays the electricity bill?
Technology: The machines will handle everything!
Reality: Including the invoices?
Technology: …
Reality: Coffee? ☕
World, Seriously?
The world speaks. Reality responds.
References and evidence
The factory employing 500 people is a hypothetical illustration, not a documented case. The article uses satire to explore economic questions raised by automation, rather than to predict a workerless economy.
- International Energy Agency (2025). Energy and AI. Examines data center electricity demand and the energy infrastructure required for AI development. https://www.iea.org/reports/energy-and-ai
- International Labour Organization (2025). Generative AI and Jobs: A Refined Global Index of Occupational Exposure. Examines occupational exposure to generative AI and distinguishes potential task automation from actual employment outcomes. https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure
- OECD (2024). The Impact of Artificial Intelligence on Productivity, Distribution and Growth: Key Mechanisms, Initial Evidence and Policy Challenges. Examines potential productivity gains, economic distribution and associated uncertainties. https://doi.org/10.1787/8d900037-en
- International Monetary Fund (2025). AI Adoption and Inequality. Working Paper WP/25/68. Uses economic modeling to examine potential effects of AI adoption on wage and wealth inequality. https://www.imf.org/en/publications/wp/issues/2025/04/04/ai-adoption-and-inequality-565729
License: DGCP | MMFARM-POL-2025