The Next Currency: If AI Replaces Our Jobs, Who Will Have Money to Spend?

As machines become capable of more work, the biggest economic question may not be what AI can produce, but who will still be able to afford it.

Reading time: 7–9 minutes

Imagine a world (rather, see the world) where AI writes the code, prepares the reports, designs the ads, answers customer calls, processes claims, analyses legal documents, and manages parts of recruitment. Robots handle more warehouse work, delivery, and manufacturing. The products keep coming. The services keep improving.

But what happens if the people who used to earn wages doing that work lose their income?

Who buys the products?

This is the uncomfortable paradox at the heart of an AI-driven economy: we could become extraordinarily good at producing things, and still struggle to distribute the purchasing power needed to buy them.

1. The quiet shift: from helping workers to replacing tasks

AI will not erase every occupation overnight. Jobs are bundles of tasks, and technology can automate some tasks, assist others, and create new ones. The impact will vary by industry, geography, regulation, and how businesses choose to deploy it.

Still, the pressure is real. The IMF estimated in 2024 that nearly 40% of global employment is exposed to AI, not the same as saying 40% of jobs will disappear. Exposure can mean augmentation as well as displacement. The difference matters.

Look across fields: customer support, content production, translation, accounting operations, software development, marketing, recruiting coordination, financial analysis, and parts of education. The question is no longer only whether a machine can do a task. It is whether a business can deliver the same outcome with fewer paid hours. We can already experience many companies focusing completely on driving their workforce to adapt to AI through mandatory learning, exposure to the AI concepts as the AI capabilities are still not perfect. They require a human in the loop while they get trained enough to come up with advanced models that can replace humans. (Similar to a trainee in MNCs).

One job lost is a personal crisis. Millions of incomes under pressure could become a demand problem.

We often tell the story of money as a neat sequence: first barter, then gold, then cash, then cards, and digital payments. It is a useful sketch, but not the whole history.

There is limited evidence that entire early societies generally ran on pure barter before money. Many communities relied on credit, reciprocal obligations, shared norms and social relationships. Barter certainly existed, but the past was not one universal queue of people swapping chickens for shoes.

Over time, societies used many forms of money and accounting: commodities, metals, coins, paper instruments, bank deposits and electronic payments. Gold mattered in many systems, but money was never simply “gold, then cash.” Modern fiat currency derives its value largely from institutions, law, taxation, confidence, and broad acceptance.

Today, UPI and other payment rails have made transferring money feel almost invisible. TAP. SCAN. DONE. Crypto introduced another experiment: digital assets that can operate outside conventional payment infrastructure, though most cryptocurrencies remain volatile and are not everyday money for most people.

The form keeps changing. The core functions remain familiar: money helps us price things, store purchasing power, and exchange value.

3. Did money make people work, or did it make work easier to organise?

Here is where the history becomes political.

Money makes complex trade possible between strangers. It helps coordinate specialisation, investment and large-scale production. But money systems have also helped states collect taxes, employers pay workers, creditors enforce claims and institutions measure economic activity.

That creates a provocative thought: money can be both a tool of freedom and a tool of discipline.

When survival depends on earning money, people have strong incentives to accept paid work. Governments and powerful institutions can shape those incentives through taxes, welfare rules, credit, wages, and access to services.

Does that prove currency was deliberately invented by elites to control everyone? No. That would flatten a complicated history into a conspiracy claim. Money emerged through varied practices and institutions. Yet it is fair to ask who benefits from the rules of any monetary system, and who gets to change them.

The more important question may be this: if paid employment stops being the main way people contribute to production, should a person's access to life’s essentials still depend so heavily on a paycheck?

4. The dangerous loop: fewer wages, weaker demand

Picture a company replacing 500 roles with software. Its costs fall. Investors may celebrate. Output might rise. Customers could even get lower prices.

Now imagine thousands of companies making similar choices.

If displaced workers cannot find comparable income, household spending may weaken. Businesses then face fewer customers. Some cut prices, hiring, or investment. The result is not automatic economic collapse. New jobs, lower costs, public transfers, and new demand could offset the shock. But the transition could be rough, and gains may flow disproportionately to owners of AI systems, data, infrastructure, and capital.

This is the difference between productive capacity and purchasing power. A society may have the technical ability to make plenty while many people lack the income to access it.

An economy cannot thrive on supply alone. It needs demand, institutions, and a way for people to share in the value created.

5. So what becomes the next currency?

Maybe the question is not which new token replaces money. Maybe the next “currency” is a new social contract.

Here are five possibilities worth debating:

1. A universal basic income (UBI).
People receive regular cash, regardless of employment status. It preserves choice and uses existing money, rather than requiring a mysterious new currency. The hard questions are funding, inflation risks where supply is constrained, benefit levels, and political durability.

2. A social dividend.
If AI-driven productivity comes from shared infrastructure, public investment, or collectively owned funds, citizens could receive a share of the returns. Think of it as ownership income and not charity. The challenge is deciding what society owns and how benefits are governed.

3. Universal basic services.
Healthcare, education, transit, housing support, or connectivity could be guaranteed directly. This may reduce the amount of cash people need, though it cannot replace choice or every personal expense.

4. A shorter working week and shared work.
If productivity rises, societies could distribute paid work across more people. That requires bargaining power, labour protections and changes in how careers and status are understood.

5. Credits tied to access, contribution or identity.
This is the more speculative, and potentially dangerous path. A future system might reward caregiving, community service, verified contributions or allocate scarce resources through digital credits. Such systems could recognise valuable work that markets ignore. But if access to essentials depends on a score, approved behaviour or constant monitoring, the currency could become a leash.

A new payment technology is not automatically a new economic settlement. A digital rupee, stablecoin or crypto token can move value around; it does not by itself solve who has value to spend.

6. What if attention, data or trust becomes money?

We already trade attention for free services. Platforms monetise engagement. Personal data can help train systems and target advertising. Reputation scores influence access to opportunities in some settings.

Could attention, data, compute, energy, carbon allowances or verified contribution become more important units of value? Possibly in specific systems or markets.

But none is a universal replacement waiting in the wings.

Attention is hard to distribute fairly. Data rights are contested. Compute and energy are inputs, not automatically good everyday currencies. Reputation-based systems can punish people unfairly. And a currency needs broad acceptance, credible rules, usability, and trust.

The next currency could be less like a coin and more like a claim on society’s productive abundance: a guaranteed floor of purchasing power, a dividend, public services, or shared ownership. Or money may remain money, while the way people earn it changes.

7. The real divide: owners and everyone else?

The most consequential divide may not be human versus machine. It could be between people who own productive systems and people who must sell labour to survive.

If AI increases productivity while ownership remains concentrated, wealth can rise even as bargaining power and labour income weaken for some groups. If access to capital, education and ownership broadens, AI could instead support wider prosperity.

The outcome is not predetermined by technology. Tax policy, competition rules, worker representation, education, public investment, ownership structures and safety nets all influence who benefits.

This is why the future of work is also a debate about democracy.

8. A future where survival is not a job title

There is a hopeful version of this story.

Imagine people spending less of their lives doing repetitive work and more time caring for family, learning, building, creating, exploring, or simply resting. Imagine productivity gains translating into time and security, not just bigger balance sheets.

But abundance in theory does not guarantee dignity in practice. Food can exist while people go hungry. Homes can stand empty while people sleep outside. Software can make services cheap while access remains restricted.

The question is not only how much AI can produce. It is what we decide everyone should be entitled to share.

The question I cannot stop thinking about

Barter, coins, paper notes, bank balances and instant digital payments are different answers to an old human problem: how do we exchange value and trust one another?

AI may force us to confront a newer one: if human labour is no longer the main ticket to income, what gives people a claim on the wealth machines create?

Will it be ownership? Citizenship? A universal dividend? A right to essentials? Or a new system that measures our usefulness in ways we have barely imagined?

Perhaps the next currency will not be something we earn.

Perhaps it will be something we agree that every person deserves.

What do you think? If AI can do most paid work, should people receive a basic income, own a share of AI-generated wealth, or should we invent a completely different system? Share your view.

Sources & further reading

IMF, Gen-AI: Artificial Intelligence and the Future of Work (2024): https://www.imf.org/en/Publications/Staff-Discussion-Notes/Issues/2024/01/14/Gen-AI-Artificial-Intelligence-and-the-Future-of-Work-542379
Federal Reserve Bank of Richmond, Essentiality of Money: A Historical Perspective (2024): https://www.richmondfed.org/publications/research/economic_brief/2024/eb_24-01
A Brief History of Money, IEEE Spectrum: https://spectrum.ieee.org/history-of-money

This article is an argument and exploration of possible futures, not a prediction that employment or money will disappear.

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