About Per Nystedt

Over the past two decades, Per Nystedt have worked hands-on as an innovator, founder, venture builder, startup coach, and teacher. He have built products, led teams, he have been granted several patents, and spent years close to people navigating uncertainty and transition. Across these contexts, a consistent pattern has emerged: lasting change rarely follows linear plans, but arises through exploration, feedback, and reorganization.

In his novel Dö för Dig, he delve deep into the theme of AI alignment, presenting a vision that goes beyond simply managing AI. He argues based on the latest and greatest of cognitive science that AI should be integrated into our collective intelligence, enhancing our societal capabilities to navigate an increasingly uncertain future. 

He deliberately stepped away from a tightly planned career path to explore a different way of engaging with complexity. Rather than optimizing toward predefined roles or outcomes, he is guided by curiosity, interestingness, and beauty, not as vague ideals, but as practical signals for where meaningful transformation and reorganization tend to occur.

His work is grounded in science, particularly cognitive science and the study of complex adaptive systems, where questions traditionally belonging to philosophy, meaning, agency, intelligence, becoming, have become empirically and computationally tractable. At the same time, his approach is explicitly philosophical, he treats models, metrics, and technologies not as final answers, but as lenses for examining what it means to become, to know, and to act under uncertainty.

Today, his exploration sits at the intersection of AI, cognitive science, and personal transformation, viewed through a systems perspective. He's particularly interested in how intelligence and meaning emerge through continuous becoming, within individuals, between people, and across human–technology systems, especially where outcomes cannot be fully specified in advance.

In practice, this means Per is writing, building simulations, thinking in public, and engaging in conversations that are still taking shape. He's drawn to early-stage questions, ambiguous problems, and collaborations where the aim is not optimization or scale, but deeper understanding of how new forms of sense-making and agency come into being.