Why AI Systems Are Essential for Designing New Scientific Tools

Powering scientific discovery: How new methods and tools drive major advances Alexander Krauss Oxford University Press (2026)

Popular accounts of major scientific breakthroughs, including advances in artificial intelligence, often present them as the work of lone geniuses or the result of sudden, unexpected insights. A classic example is physicist Albert Einstein, whose groundbreaking papers on light, matter and time were published in 1905 while he was working as a technical expert at the Swiss Patent Office.

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In The Driving Force Behind Scientific Discovery, philosopher of science Alexander Krauss challenges this traditional view. He argues that science advances primarily through the development of new methods, instruments and technologies that open previously inaccessible areas of research. Drawing on a wide range of historical discoveries, Krauss maintains that innovations such as electron microscopes and particle accelerators have often played a more important role in scientific progress than theoretical speculation alone.

Krauss goes further, suggesting that human scientific progress has been closely linked to technological progress. Humans are not simply Homo sapiens, he argues — a name meaning “wise person” — but also Homo Methodologicus: a species whose ability to expand knowledge depends on creating tools that increase what can be observed, measured and understood.

Although Krauss’s book is rooted in the history of science, its ideas also inform contemporary debates about artificial intelligence. In an era of AI-assisted and AI-augmented research, his analysis offers a useful framework for understanding how new tools could reshape scientific discovery.

The limits of human observation

Krauss bases his argument on an analysis of more than 700 historical examples of important scientific discoveries, including breakthroughs recognized with Nobel Prizes. He argues that the scientific revolution of the 17th century was driven not only by new ideas but also by new instruments and experimental methods. Microscopes, telescopes and other technologies expanded the limits of human perception, making entirely new worlds available for scientific study.

Each generation of scientific tools also creates the conditions for the next. Consider the study of proteins, the molecular mechanisms that support life. In 1924, chemist Theodor Svedberg developed the ultracentrifuge, a machine that spins samples at extremely high speeds to separate molecules for analysis.

Building on this breakthrough, Svedberg’s student Arne Tiselius developed electrophoresis in the early 1930s. The technique separates and classifies molecules by using electric fields.

Electrophoresis became a foundation of modern molecular biology and eventually supported techniques used to analyze and sequence DNA.

The broader lesson, Krauss argues, is that scientific discoveries rarely happen in isolation. Research tools expand scientists’ capabilities and create new methods, questions and fields of study that would otherwise be impossible.

He notes that approximately one-quarter of scientific fields are defined by the methods and equipment that made them possible. The electron microscope, invented by physicist Ernst Ruska, did more than improve magnification. By allowing researchers to see structures beyond the reach of optical microscopes, it helped establish modern cell biology.

Krauss also offers a fresh interpretation of scientific coincidence. Breakthroughs often described as lucky accidents are rarely the result of chance alone. Physicist Wilhelm Röntgen’s discovery of X-rays and Jocelyn Bell Burnell’s first detection of pulsars became possible because specialized instruments — including X-ray discharge tubes and radio telescopes — revealed phenomena that had previously been invisible.

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