Shaping the Future of Knowledge Work. What's Left for Humans?

It’s not just about knowing more. It’s about being more.

When we talk about the future of the knowledge economy, the first question that comes to mind is whether we should still call it that. Relatively soon, all knowledge, expertise, and the know-how to apply them - accelerated by the combined explosion of AI and robotics - will reside with machines.

We tend to downplay the impact of AI on work, focusing on the automation of rote tasks while humans would focus on those that demand 'human qualities' like creativity and empathy. That’s comforting; it helps us overcome the fear of the potential loss of jobs.

Fear is a natural reaction.

When we replaced agricultural work with animals, and later machines, things were different: it felt like we were getting rid of exhausting, unfulfilling work. The same happened with repetitive or dangerous tasks in manufacturing.

But those who claim AI is an invention on the level of electricity or the internet are both right and missing the point.

AI is something more. We are living through one of those rare moments in history when a discovery or scientific breakthrough shifts our perception of what it means to be human and erodes our sense of human singularity. Copernicus showed us that Earth, and by extension humanity, wasn’t the center of the universe, but just one small part of a vast cosmos. Darwin revealed that humans weren’t specially created but evolved through the same natural processes as all other life. Freud suggested that our thoughts and behaviors aren’t fully within our control, governed in part by unconscious drives. Einstein shattered our perception of an absolute reality by showing that space and time are fluid, reshaping our grasp on the physical world. Now we have AI, a force capable of challenging what we thought was uniquely human - intelligence, creativity, even empathy.

But AI is already highly empathetic, very creative, and in many ways, very human. It even makes mistakes and can sometimes be a little lazy - a counter-intuitive pattern, given our ingrained view of machines as perfect and predictable. And if we look down the road, maybe 20 years, maybe 50 - it’s far but close in the big scheme of things - AI will be much more powerful, and there will be little to no friction in our interactions with it. It will begin with voice, with memory of all our interactions so we don’t feel like starting conversations all over again, then maybe advance to reading body language, brain waves, or even move into our minds. AI will become a seamless extension of our “knowledge.”

The productivity gains from this transformation will push humanity to the next level of work. In fact, working to ensure survival may become a thing of the past. This shift will force societies to rethink how we share wealth and ensure that everyone can live with dignity, focusing instead on how to live a fulfilling life. People will still engage in activities, even rigorous work, but it will be because they want to, not because they have to.

Meanwhile, we face another massive challenge that will shape our lives: the future of our planet. Conquering another planet before ours collapses is not a viable option within the timeframe we’re dealing with. To secure a livable world, we must save this one by all means - accelerating innovation to achieve discoveries and breakthroughs that can reverse a seemingly unstoppable decline, while embracing drastic lifestyle changes. Regulations will follow. In my view, this shift is inevitable.

In passing, that’s why I don’t believe that 20, 30, or 50 years from now we’ll still be working in traditional fixed offices. The carbon costs will be too high, and fixed locations aren’t ideal for building the diverse, agile teams we need for rapid innovation. We must learn to work effectively in distributed teams instead of clinging to an outdated model that limits potential by confining talent to a few fixed locations - mostly empty yet consuming valuable resources. Eliminating fixed offices doesn’t mean eliminating in-person connection; it means doing it differently, less frequently, but far more purposefully and meaningfully. It’s more challenging, but it’s where we’re headed, and, like anything, we can learn to excel at it.

So, to summarize, I believe in these three long-term trends:

1. AI will become a seamless extension of human knowledge and will mimic us almost perfectly, co-knowing and co-creating with us.

2. Productivity gains will be so massive that working to survive will no longer be necessary. Regulations will however become necessary to preserve social balance and ensure everyone lives with dignity. People will choose how they want to fulfill their lives - whether by contributing to progress, pursuing a passion, or making an impact.

3. The urgency of climate change will push humanity to accelerate both technological progress and lifestyle changes. Among other consequences, this shift will make working from a fixed office the exception rather than the rule, due to its impact on carbon emissions and the limits it places on building diverse, hyper-innovative teams.

So, what does this leave to humans? I think the reinvention of the knowledge economy - maybe soon called the purpose economy or the hyper-innovation economy - will mean that humans will find their identity in a triptych: Accountability, Ownership, and Choice.

This triptych - Accountability, Ownership, and Choice - isn’t just a framework. It’s the answer to what’s left for us in a world where AI knows almost everything and where we don’t need “work” as we know it to survive. Each element is essential, and work together, as a response to the seismic shifts reshaping what it means to work, to create, to contribute.

Accountability is the anchor, and there’s no escaping it. No matter how advanced AI becomes, or how much we lean on it, accountability will remain essential. It will always come back to us. This is true for a CEO, a surgeon, a journalist - for anyone. Because in the end, it’s still on us to ensure AI is used responsibly and aligns with human values. Even deciding how much we leverage AI, or whether to use it at all, is a choice that requires accountability. Our responsibility to guide, validate, and oversee what AI produces isn’t something we can hand off. This accountability grounds AI in our purpose and our priorities.

But accountability alone isn’t a guarantee of success. Ownership is about being fully invested. It makes us up our game. It comes with a sense of purpose, a pride in outcomes, a natural inclination to uphold ethical and quality standards. With ownership, people see the outcome of what they do as a reflection of who they are and what they stand for.

Then there’s choice. Choice is the fair counterpart to accountability and ownership. It gives us the freedom to decide how we’ll engage, what we’ll work on, and how we’ll work, to make it happen. It’s the freedom to choose our approach, our tools, the environment and the pace that works for us. Choice lets any task we engage in become an extension of ourselves, rather than something imposed. It’s the power to say, ‘This is how I can best contribute.’

Accountability, Ownership, and Choice together give humans the power to thrive, not just survive, in a radically different world - one where work must be fulfilling. They create a future where people don’t just coexist with AI but lead with it, shaping outcomes with integrity, meaning, and purpose. This is where the knowledge economy is headed, or whatever we end up calling it.

Because at the end of the day, it’s not just about knowing more. It’s about being more.

Pierre Le Manh, Founder and Principal, NeuronVentures. First published in November 2024.