In a world where artificial intelligence promises to automate routine work but at the same time concentrates control in the hands of a few platforms, the founder of the Knowmad Institut and experts on the future of work are discussing at global forums not merely technology, but new models of personal and corporate wealth.
The Knowmad Institut, an independent think-and-do tank, focuses on human dignity, open science and technology governance. Its founders and like-minded associates, such as John Moravec, promote the concept of "knowmads" — knowledge nomads who create value beyond traditional workplaces. At the forums of 2026 they emphasize: AI is not merely a tool but a force capable of either expanding an individual's opportunities or making that individual dependent on algorithms and the data of giants.
The hidden interest here is the redistribution of wealth. According to the discussions, generative AI could add trillions to global GDP, but 95% companies that have invested billions are seeing no return. Success goes to those who integrate AI into real business processes rather than chasing hype. Knowmads, for their part, offer an alternative: personal knowledge and adaptability as the main asset that allows one to earn independently of corporations.
The paradox is obvious. AI lowers barriers for startups — anyone can launch a service based on neural networks — but data and infrastructure remain in the hands of the few. Experts note: without strategy and high-quality data, projects fail. At the same time, knowmads, relying on open science and collective intelligence, create sustainable models in which value is distributed more widely.
The analogy is simple: money is like water. In the old system it flowed through the pipes of corporations; in the new one, knowmads build their own sources and channels, using AI as a pump. But without rules of access, the water may go to those who control the taps.
At the forums there is a call: to invest not only in code, but also in skills, ethics and open ecosystems. This changes the approach to personal finance — instead of hoping for a salary or a pension, the focus is on a portfolio of knowledge and projects capable of generating income anywhere.
In the end, AI does not abolish entrepreneurship but makes it more personal: wealth now depends on the ability to turn knowledge into value faster than algorithms can.
