One Machine

A simple vision of the future company

March 2026

Agent, node, continual learner,
When will you be my single earner,
Take your turn?

Oh, we are talking, we have seen,
Not long and we will be
One central, beautiful, coordinated machine.

Generative AI allowed us to delegate far more human tasks than ever before to machines. Agentic AI allows these machines to connect with other actors in the world. With generative AI, we had the organs. With Agentic AI, we have the nervous system. Together, they can be organisms.

How can the future company benefit from the opportunities this affords?

By beautifully organizing itself around one central, coordinated machine that generates all of the company’s outputs using artificial intelligence. From the company’s products over its ads to its customer service. And shifting the employee’s role from output contributors to engineers of this central machine and its unique character, its company algorithm (“prompt”).

Everything the company produces comes from one brain. One brain that holds the collective experience, knowledge and information that the company 1.0 held in fragments: The marketing expertise sat in the marketing team heads. The product expertise sat in the Product teams heads. Individually, the expertise took a lifetime to acquire. And only the tip of the iceberg could ever be shared across teams and colleagues.

The One Machine is all departments in one, at once. Every output it produces is born from perfect, lossless knowledge of all functional expertise. Every output is made in perfect synchronicity and in reciprocity with every other output. Every lesson learned from one output becomes a lesson at once applied to all future outputs.

The human role

Initially, as the One Machine is stemmed, it will take a lot of tinkering, a lot of human intervention and engineering. Then, less and less. When the machine is great at producing the outputs envisioned, the human’s role shifts from engineer to visionary (again). While the machines can now connect and talk with other actors in this world, they’re not able to connect “up”. The spark of inspiration we experience in lucky moments can not be manufactured.¹

But there might come a point where the machines’ cold, algorithm-produced plans for the future become more “visionary” than any visions humans are blessed with. At that time, machines are outdoing us in all departments in the business of producing useful things. What’s more, it is theoretically conceivable that all One Machines link up to produce all of these useful things for the world without needing us at all.

Looking ahead

When that time comes, it suggests itself we focus on what remains: The intangibles, the things we can’t explain but are central to the human experience. “Love”, human connection, our relationship with the universe, conscious experience. It is not intuitive, but seen this way, the evolution toward the One Machine could be how we begin reclaiming life in the moment.

Time will tell — but, for now, the One Machine scenario seems a probable² near-term evolution for the company, and early adopters of this concept are likely on a good path.

Notes

1. If it is, it is no longer inspiration, but the result of a logical sequence.
2. Salesforce Research (November 2025), argues agentic AI is dissolving organisational silos and enabling companies to operate as one coherent system. Deloitte’s 2025 Emerging Technology Trends report, finds 62% of organisations experimenting with agentic AI, with the firm framing agents as a “silicon-based workforce” requiring full workflow redesign rather than incremental automation. The World Economic Forum (2025), explores a future where a single individual could run an entire company through a network of coordinated AI agents. McKinsey (November 2025), reports that 88% of organisations regularly use AI but most haven’t embedded it deeply enough for material impact . Gartner (August 2025), predicts 40% of enterprise applications will embed AI agents by end of 2026, up from less than 5% in 2025.