Life After Automation

In short: For most of history, work has organised our lives: income, but also routine, identity, colleagues and a feeling of contributing. As AI takes on more, people are likely to move from doing work to overseeing it, which makes it vital to keep the skills to step in when systems fail. Once most work is automated, the big question is no longer which jobs disappear, but what gives life structure and meaning. Relationships, human creativity, competition and craftsmanship are likely to keep their value precisely because people do them, and “working for pleasure” could become central to a good life.

The Question

Enhanced Automation looks at how the change unfolds. This article looks at the other side of it: what happens to people’s lives, skills and sense of purpose when machines do most of the work?

From Doing to Overseeing

At first, AI acts as a maker whose work people check and approve: a partnership. As systems become more reliable, the temptation to hand over more grows. The likely path is from doing to overseeing: people spend less time on the work itself and more time checking what AI does, catching errors and staying ready to step in.

Rules could, in principle, keep meaningful human control over key decisions. But making them hold across companies, industries and countries is a hard coordination problem, with no guarantee of success everywhere.

The Need for Backup Skills

Overseeing doesn’t mean we can forget how the work is done. If a system that has run a task for years suddenly fails, through an outage, an attack, a bad update or a case it can’t handle, someone must be able to take over. That ability doesn’t appear by itself; it has to be kept up deliberately.

This points to a lasting need for what could be called AI backup training: keeping enough people who really know how to fly the plane, treat the patient or run the system by hand, even if they rarely need to. Without it, reliance on automation creates a hidden fragility: skills quietly fade until the day they are needed most.

When Most Work Is Automated

Once AI and robots together handle most of what now counts as “the productive economy”, the question changes. It is no longer mainly which jobs disappear or how fast, but what fills the space paid work used to occupy, in the economy and in each person’s life.

The Purpose Question

Even if income no longer depends on work, through falling costs, redistribution or both, many people would face a question money can’t answer: what do I do with my time, and why does it matter?

Work has given us:

• a sense of contributing and being needed;
• structure and routine;
• social contact through colleagues and shared goals;
• mastery, the satisfaction of getting better at something hard.

Take that away suddenly and at scale, and many people could have plenty of time but no clear direction. Better technology does not solve this. If anything, the better AI serves our needs, the sharper the question becomes.

What Stays Distinctly Human?

Some activities are likely to keep their value precisely because people do them:

• Relationships and community: most people don’t want these automated, even if an AI could imitate them convincingly.
• Human creativity and entertainment: work whose value comes partly from knowing a person made it.
• Competition: sport and strategy games keep their meaning because human limits are part of the challenge.
• Craftsmanship and making things yourself: for the process and the result, even when a machine could do it faster.

These are not consolation prizes. They may become central to how people build meaningful lives once necessity no longer decides how time is spent.

Working for Pleasure, Not Necessity

When survival no longer depends on work, work doesn’t disappear: it changes character. People already cook from scratch, restore furniture or grow vegetables for the joy of it. This kind of voluntary work could become a main source of structure and satisfaction.

There is also an energy angle. Automation at scale, data centres, robots and AI, uses a lot of electricity. Low-tech, hands-on activities are rewarding in themselves and a small counterweight to that demand:

• gardening and growing food;
• cooking and baking from scratch;
• woodworking, sewing and repair;
• walking and cycling;
• crafts, music and other hands-on hobbies.

None of this needs to be seen as sacrifice. It is about recognising these activities as valuable ways to spend time, rather than inefficiencies to be automated away.

A Possible Upside

A world where AI handles much of production isn’t only a story of loss. If AI also helps with the political and coordination problems that fuel conflict over scarce resources, we could imagine less large-scale conflict and more capacity for shared challenges like sustainability. Whether that happens is a question of choices and governance, not technology alone.

Examples

• Keynes’s prediction: in 1930, the economist John Maynard Keynes predicted that by 2030, rising productivity would let people work about 15 hours a week, and that the real challenge would be how to use the freedom well. Productivity grew roughly as he expected; working hours fell far less.
• Skills that fade: aviation safety bodies have warned that pilots who rely heavily on autopilot can lose manual flying skills, and recommend regular hand-flying practice. The same lesson applies wherever AI takes over a task.
• When work disappears: in the 1930s, researchers studied Marienthal, an Austrian village where the only factory closed. With unemployment almost universal, people lost their sense of time and routine, not just their income.

As an Individual

• Ask how much of your sense of purpose comes from what you produce, and how much from who you are and how you connect with others. The second is much harder to automate.
• Invest time in activities that give real meaning, not just to fill gaps.
• Try low-tech, hands-on activities for their own sake.
• If you oversee an automated process, keep practising the underlying skill.
• Start thinking now about where you’d find meaning if paid work weren’t the centre of your time.

The Human Side

Purpose is one of the deepest human needs. Without a sense of contributing, people can feel lost even when all their material needs are met. The good news is that purpose can come from many sources: relationships, learning, creating, caring, helping others. See the core drivers of feelings and Connection and loneliness in the Personal Guide.

Open Questions

• How can societies keep enough people skilled to take over when automated systems fail?
• What should replace work as a source of status and recognition?
• Should some tasks stay human by choice, even when machines could do them better?

Where Next

• Previous: Impact of Artificial Intelligence
• Next: Big Risks: Pandemics, Nuclear War, Advanced AI
• Related: Enhanced Automation, Universal Allowance

Sources

• John Maynard Keynes, “Economic Possibilities for our Grandchildren” (1930)
• Marie Jahoda, Paul Lazarsfeld and Hans Zeisel, Marienthal: The Sociography of an Unemployed Community (1933)
• US Federal Aviation Administration, Operational Use of Flight Path Management Systems (2013), on automation dependence among pilots
• Lisanne Bainbridge, “Ironies of Automation”, Automatica (1983)
• Daniel Susskind, A World Without Work (2020)