AI, software and global connectivity are giving people capabilities that used to belong to teams, departments and large organisations. A person can learn faster, build things that previously required a team, find collaborators anywhere in the world and access tools that were once available only to companies with significant resources.
This changes more than the way we work.
It changes how we learn, how we build careers, how we find people to work with, how we create companies and eventually how we organise society around human potential.
For most of the industrial era, professional life followed a relatively simple path. You learned something, joined an organisation, developed inside it, and gradually took on more responsibility. The organisation provided much of the structure around your work: colleagues, reputation, mentorship, learning, income, access to projects and a place in a professional community.
That structure is becoming less necessary as the unit of work becomes smaller and more capable.
A person can increasingly assemble much of this independently. They can learn from anywhere, work with people they have never met, use AI and software to extend their own capabilities, move between projects and organisations, and eventually create something of their own.
But independence does not mean that a person needs no infrastructure.
It means that the infrastructure has to be built around the individual.
This is the part of the future that interests us most.
What does a person need when they can become much more capable on their own?
How do they discover what they are good at? How do they find meaningful problems to work on? How do they build a reputation based on what they actually do? How do they find the right people, mentors and collaborators? How do they keep developing when there is no longer a company telling them what the next step in their career should be?
And eventually, how do they turn all of this capability into something of their own?
One person, a department's output
A competent person with current tools can now produce what used to require a small team.
A founder can get to a working product with a fraction of the people and time it once required. A professional can delegate more routine work to software and AI and spend more of their time directing, deciding and creating. Someone with a strong idea can often test it without first building an organisation around it.
This changes the economics of starting things.
It also changes what we should expect from a person.
When software can handle more execution, human value moves towards judgement, taste, responsibility, communication, curiosity and the ability to understand a problem deeply enough to decide what should be done.
The individual becomes a more important unit of economic activity.
But we still have many systems designed around a different unit.
What a CV is actually for
A CV is a compression format designed for a world where checking was expensive.
You could not easily watch someone work, understand how they think or see what they were capable of. So you read a summary of the places that had already accepted them and used that as a proxy.
Today, more of the underlying information is accessible.
You can see what someone has built. You can read their writing. You can look at their work. You can talk to them directly. You can collaborate on a small project before making a much larger commitment.
This does not make experience irrelevant. Quite the opposite. Real experience becomes more valuable when it can be understood in context.
But the way we represent experience can change.
At Trood, we have never been particularly interested in CVs as the primary way of understanding people. We prefer to understand what someone cares about, what they can do, how they think and how they work with others.
One of the simplest ways to find this out is to build something together.
The same principle can extend beyond hiring. A person's reputation can increasingly be built through actual work, contributions, relationships and the problems they have helped solve.
That creates a much richer picture of a person than a list of previous employers.
Merit over geography
The same transformation is happening with geography.
A talented person can now work with a company, community or project almost anywhere in the world. Software development made this possible earlier; AI is making the range of work that can be done remotely much larger.
This creates an enormous opportunity for people who were previously limited by the labour market around them.
Someone in Lagos, Tbilisi or Da Nang can contribute to a project in London, Dubai or San Francisco. They can learn from people on the other side of the world, build an international reputation and become part of a professional community without moving first.
We believe this should be normal.
Not because geography does not matter. It does. Culture, communication, physical proximity and local knowledge remain important.
But geography should not determine a person's access to opportunity to the extent that it often does today.
The more people can contribute from wherever they are, the more the world can discover talent that existing institutions never had a chance to see.
The individual needs an operating system
There is a larger question behind all of this.
For a long time, companies provided much more than employment.
They gave people a professional identity, colleagues, mentors, feedback, a learning path, a network, access to projects and a reason to meet other people. They gave people a place where their abilities could become useful.
As people become more independent, some of these functions have to move somewhere else.
A person may need help understanding their own abilities and interests. They may need to discover a direction before they are ready to choose a profession. They may need a mentor, a peer group, psychological support, education, practical experience and opportunities to test themselves.
They may need help finding a project that matches their abilities.
They may need help presenting themselves to the world.
They may need a community.
None of this fits neatly into the traditional categories of university, employer or social network.
It is closer to an operating system for an individual's development.
And unlike an operating system, it should not decide what the person is supposed to become.
Its role is to give the person more possibilities, better information and more agency.
A personal curriculum
There is also no universal curriculum for this.
A person may need programming, finance, literature, communication, philosophy, psychology or design. They may need to learn how to sell, how to manage a team, how to work with AI, how to understand themselves or simply how to spend time with people who see the world differently.
The interesting curriculum is therefore not the same for everyone.
It is something that develops around a person's interests, abilities, weaknesses, circumstances and ambitions.
AI makes this much more practical because education can become increasingly adaptive. Instead of giving everyone the same programme, we can understand where a person is, where they want to go and what experiences could help them move there.
But technology alone cannot provide this.
People still need other people.
They need mentors who have already walked some part of the path. They need peers who are going through something similar. They need people who challenge them, encourage them and sometimes simply spend time with them.
The human part becomes more important as the technical part becomes easier.
Work as a stage of development
This also changes our relationship with work.
A job does not have to be the final destination of a person's development.
It can be a stage.
Someone may join a company to learn an industry, develop a skill, understand customers or work with people who know something they do not. Later they may move to another company, join a venture, become independent or start something themselves.
The important question becomes less about finding the perfect job and more about creating a sequence of experiences that develops the person.
This makes work experience even more important for young people.
The irony is that many entry-level positions increasingly ask for experience before giving someone the opportunity to acquire it.
A better system could connect education directly with real work.
A student or recent graduate could be understood through their skills, interests and ambitions. The system could identify relevant opportunities, help them acquire missing skills and connect them with real projects where they can gain experience.
After enough experience, another path becomes possible.
They can create something.
From employment to creation
Starting a company has traditionally required a particular combination of knowledge, money, connections and confidence.
Many people who could build something never reach that point because they do not know where to start or do not have access to the people and resources around them.
AI lowers some of these barriers.
But lowering the technical barrier is only the beginning.
A founder still needs to understand a problem, talk to people, make decisions, develop judgement, find collaborators, survive uncertainty and build relationships.
This is why we think the future infrastructure around individuals should support both employment and entrepreneurship.
Someone can enter through a job, develop through real experience, find a problem worth solving and eventually build a company.
Another person may discover that entrepreneurship is not for them and become an excellent specialist, mentor or leader.
There should be many successful forms of a human life.
People creating opportunities for people
There is another consequence that we find particularly interesting.
If people become more capable of creating their own work, they can also become capable of creating work for others.
A person who has accumulated experience can become a mentor. A founder can create opportunities for younger people. A specialist can bring others into a project. A community can help its members discover one another and form new teams.
This creates a compounding effect.
People do not only receive opportunities from the system. They gradually become part of the infrastructure that creates opportunities for others.
A young person enters a community looking for work and eventually becomes someone who creates work.
A student looking for a mentor eventually becomes a mentor.
A person looking for a place to belong eventually helps create that place for someone else.
This is how an ecosystem becomes something more than a collection of services.
The part that worries us
There is also a version of this future that we do not want.
Greater individual capability does not automatically produce greater individual freedom.
The benefits can accumulate around people who already have capital, networks, education and access to information. AI can make those people even more capable while leaving others with fewer opportunities to develop.
The infrastructure around the individual therefore matters enormously.
If we build systems that simply make people more efficient workers, we will have achieved only a small part of what is possible.
If we build systems that help people understand themselves, develop their abilities, find meaningful work, connect with others and eventually create opportunities for other people, the result can be much larger.
This is not primarily a technology problem.
It is a question of what kind of people and communities we want technology to support.
The time for individuality
The defragmentation of business creates a possibility for the defragmentation of the person as well.
People do not have to fit themselves into a single professional identity for an entire life.
Someone can be an engineer, entrepreneur, writer, mentor, researcher, artist or simply a person trying to understand something deeply. These identities can coexist and change.
The ability to move between them may become one of the most valuable forms of freedom.
But this requires a certain level of self-knowledge.
When there is less external structure telling us who to be, we have to become more conscious of what we actually want.
That makes the future of labor inseparable from the future of people.
It brings questions of education, psychology, philosophy, relationships, community and consciousness into the same conversation as AI and automation.
At Trood, this is where our interest in technology eventually leads us.
We started with software and automation because that is where we have experience. But the deeper question has always been what happens when technology gives people more agency.
We believe the next generation of infrastructure should help people use that agency well.
To learn, to work, to build, to connect. To create opportunities for others.
And, eventually, to become the people who build the next layer of the world.