JOHN McCARTHY
COMPUTER SCIENTIST
4-9-1927 24-10-2011
JOHN McCarthy, who was often described as the father of "artificial intelligence" (AI), a branch of computer science founded on the notion that human intelligence can be simulated by machines, has died of heart disease at his home in Stanford, California. He was 84.
McCarthy, who coined the term in 1956, defined it as "the science and engineering of making intelligent machines" and created the Lisp computer language to help researchers in the AI field.
He maintained that there were aspects of the human mind that could be described precisely enough to be replicated: "The speeds and memory capacities of present computers may be insufficient to simulate many of the higher functions of the human brain," he wrote in 1955, "but the major obstacle is not lack of machine capacity but our inability to write programs taking full advantage of what we have."
McCarthy went on to create AI laboratories at the Massachusetts Institute of Technology and later at Stanford University, where he became the laboratory's director in 1965.
During the 1960s, he developed the concept of computer time-sharing, which allows several people to use a single, central, computer at the same time. If this approach were adopted, he claimed in 1961, "computing may some day be organised as a public utility".
His concept of time-sharing made possible the development of so-called "cloud computing" (the delivery of computing as a service rather than a product). Meanwhile, his Lisp programming language, which he invented in 1958, underpinned the development of voice recognition technology.
McCarthy's laboratory at Stanford developed systems that mimic human skills such as vision, hearing and the movement of limbs as well as early versions of a self-driving car. He also worked on an early chess-playing program.
The concept of AI inspired numerous books and sci-fi films, notably Stanley Kubrick's dystopian 2001: A Space Odyssey (1968).
Meanwhile, he applied himself to addressing theoretical issues about the nature of human and robotic decision-making and the ethics of creating artificial beings. He also wrote a sci-fi story, The Robot and the Baby, to "illustrate my opinions about what household robots should be like". The robot in the story decides to simulate love for a human baby.
McCarthy was born in Boston to an Irish father and Lithuanian mother. The family lost their home during the Great Depression and moved to Los Angeles, where his father worked as a union organiser he also developed a hydraulic orange-juice squeezer. His mother had been active in the women's suffrage movement and both parents were active members of the Communist Party.
McCarthy taught himself mathematics as a teenager and when he arrived at the California Institute of Technology aged 16, he was so advanced that he was assigned to a graduate course.
In 1948, a symposium at Caltech on "Cerebral Mechanisms in Behaviour", which included papers on automata and the brain and intelligence, sparked his interest in developing machines that could think like people.
McCarthy received a doctorate in mathematics from Princeton University in 1951 and was immediately appointed to a chair in the subject.
It was at Princeton that he proposed the programming language Lisp as a way to process more sophisticated mathematical concepts than Fortran, which had been the dominant programming medium until then.
McCarthy joined the Stanford faculty in 1962 after short appointments at Princeton, Dartmouth and MIT, remaining there until he officially retired in 2000.
During the 1970s, he presented a paper on buying and selling by computer, prophesying what has become known as e-commerce. He also invited a local computer hobby group, the Homebrew Computer Club, to meet at the Stanford laboratory. Its members included Steve Jobs and Steven Wozniak, who would go on to found Apple.
However, his own interest in developing time-sharing systems led him to underestimate the potential of personal computers. When the first PCs emerged in the 1970s, he dismissed them as "toys".
McCarthy continued to work as an emeritus professor at Stanford after his official retirement, and at the time of his death was working on a new computer language called Elephant.
McCarthy won the Turing Award from the Association for Computing Machinery in 1972, the Kyoto Prize in 1988, and the National Medal of Science in 1990. Despite his disappointment with AI, McCarthy remained confident of the power of mathematics: "He who refuses to do arithmetic is doomed to talk nonsense," he wrote in 1995.
McCarthy is survived by his third wife, Carolyn, their son, and by two daughters of his first marriage.
Frequently Asked Questions about this Article…
Who was John McCarthy and why does he matter to investors interested in artificial intelligence (AI)?
John McCarthy was a pioneering computer scientist often described as the "father of artificial intelligence." He coined the term AI in 1956, created the Lisp programming language, and founded AI laboratories at MIT and Stanford. For investors, his work matters because it laid the theoretical and technical foundations for many modern AI applications and industries that tech companies now commercialise.
What is the Lisp programming language and why should investors care about Lisp's role in AI history?
Lisp, invented by McCarthy in 1958, is one of the earliest programming languages designed for AI research. The article notes Lisp underpinned the development of technologies such as voice recognition. Investors tracking AI and voice-enabled products may find it useful to understand Lisp's historical role in shaping the software approaches behind these technologies.
How did John McCarthy’s idea of computer time‑sharing lead to cloud computing that impacts today's tech investments?
In the 1960s McCarthy developed the concept of computer time‑sharing, letting multiple users access a central computer simultaneously. The article says that approach made possible what became known as "cloud computing" — delivering computing as a service instead of a product. Since many modern tech businesses and AI services depend on cloud infrastructure, that lineage is directly relevant to investing in cloud and AI service providers.
What did McCarthy mean when he dismissed early personal computers as "toys," and what lesson does that hold for investors?
McCarthy favoured time‑sharing systems and underestimated the potential of early personal computers, calling them "toys" when PCs first appeared in the 1970s. For investors, the takeaway is to be cautious about dismissing new platforms or consumer technologies too quickly — disruptive value can emerge from unexpected directions, as it did with personal computing and later consumer tech.
How did McCarthy's research contribute to technologies like voice recognition and self‑driving cars?
The article credits McCarthy's Lisp language with underpinning early voice recognition work, and notes his Stanford laboratory developed systems that mimicked human vision, hearing and limb movement as well as early versions of a self‑driving car. These early research threads evolved into commercial AI features now used by many tech companies.
Did John McCarthy anticipate trends like e‑commerce, and why is that important for investors today?
Yes — in the 1970s McCarthy presented a paper on buying and selling by computer that the article says prophesied what became known as e‑commerce. For investors, this highlights how foundational research can foreshadow major market shifts, suggesting value in monitoring academic and research developments that might seed future business models.
Which notable tech founders or companies are connected to McCarthy’s Stanford lab that everyday investors might recognize?
McCarthy invited the Homebrew Computer Club to meet at his Stanford laboratory; members included Steve Jobs and Steve Wozniak, who went on to found Apple. That connection illustrates how academic hubs and research labs can be springboards for influential tech companies.
What practical takeaways should everyday investors draw from John McCarthy’s legacy when evaluating AI and tech stocks?
McCarthy’s career shows that long‑term foundational research (like Lisp and time‑sharing) can enable whole new industries (voice recognition, cloud computing, autonomous systems). For investors, practical takeaways are: consider companies that build on proven research foundations, pay attention to cloud and AI infrastructure providers, and avoid dismissing emerging technologies too quickly since innovations can mature into major markets over time.