In December 1947, John Bardeen, William Shockley, and Walter Brattain at Bell Telephone Laboratories built the first transistor using germanium, an invention that transformed electronics and ultimately enabled the information age. Their work was not driven by a product roadmap but by basic questions about electron behavior in semiconductors, combining quantum mechanics and hands-on solid-state experimentation. The device was kept confidential while Bell Labs filed patents, then publicly announced on June 30, 1948, with the scientific account appearing in Physical Review.
Early transistors used germanium, but industry moved quickly to silicon for its thermal stability and abundance, enabling integrated circuits and modern microprocessors. A contemporary chip can contain tens of billions of silicon transistors measured in nanometers, switching billions of times per second to perform computation, data storage, audio and visual processing, and Artificial Intelligence tasks. The global semiconductor industry is now worth over half a trillion dollars. Much of the foundational knowledge that made these advances possible came from federally supported university research and industrial R&D subsidized by AT&T revenue; nearly a quarter of Bell Labs´s transistor research in the 1950s had federal support.
The essay warns that this ecosystem of long-term investment is under strain. The new White House´s proposed federal budget includes deep cuts to the Department of Energy and the National Science Foundation, though Congress may alter those plans. The National Institutes of Health has canceled or paused more than Not stated billion in grants, and National Science Foundation STEM education programs suffered more than Not stated million in terminations. These funding losses have led some universities to freeze graduate admissions, cancel internships, and scale back summer research, limiting pathways into scientific careers.
Historical examples underscore the stakes. John McCarthy´s early work on Artificial Intelligence and the Lisp language, and decades of neural network research through periods of limited enthusiasm, laid the groundwork for today´s breakthroughs. Advances in GPUs, materials science, and emerging concepts such as memristors and spintronic devices all rely on decades of basic research. The author, Julia R. Greer of the California Institute of Technology, argues that the next transformative technologies will need the same patient curiosity, cross-disciplinary collaboration, and financial support that produced the transistor.
