The Convergence

Squash and artificial intelligence share an unlikely origin story, both born in England in the 1830s, both slow to reveal their full potential, and both arriving at 2022 at opposite ends of their respective arcs. The introduction traces squash's remarkable two-century journey from a school corridor in Harrow to a genuinely global sport, one that produces world champions on every continent and has...

Two ideas were born in the same country, in the same decade, within twenty miles of each other. In the 1830s, Harrow School students improvising in a basement corridor accidentally invented squash — a game whose shared wall made intelligence, not power, the minimum requirement for survival. A few miles south, Charles Babbage was designing the Analytical Engine, a general-purpose computing machine...

When squash crossed the Atlantic in 1884, it did not democratize — it deepened its class associations, arriving at St. Paul's School in New Hampshire and spreading through Ivy League clubs, university athletic programs, and the social networks of American privilege. America did not open squash to everyone; it gave squash a more thoroughly elite home than it had ever had in England. Simultaneously,...

The summer of 1956 at Dartmouth College gave artificial intelligence its name and its founding ambition: that every aspect of human intelligence could be precisely described and mechanically reproduced. The optimism was genuine and, within its own frame of reference, earned — the Logic Theorist was proving mathematical theorems, and ELIZA was conducting conversations that made intelligent adults f...

Both squash and artificial intelligence built their institutional infrastructures in the same era and embedded within them the same hidden flaw: institutions designed by and for the people who had created the field, optimizing for the experience those people understood and leaving everything else as an afterthought. Squash wrote its rule book through the International Squash Rackets Federation, ev...

The Kodak story is the frame for this chapter: Steven Sasson invented digital photography inside Kodak in 1975 and watched his invention shelved while Kodak optimized for film, eventually filing for bankruptcy in 2012. Both squash and AI in the 1980s were Kodak — well-managed, optimized for what they had built, carrying the particular blindness that comes from genuine success. Squash's courts were...

Decline rarely announces itself, and Squash's decline was precisely the kind that arrives dressed as stability — membership numbers slightly down but surely recovering, courts quieter at shoulder hours but still full on Saturday mornings. The economic conditions of the late 1980s, rising interest rates and softening real estate values, made the squash court a difficult asset to justify, and the on...

The AI winters were not interruptions in the story of artificial intelligence — they were the periods during which the most important work in the field's history was being done by people the mainstream had stopped paying attention to. Herbert Simon's 1957 prediction that computers would be world chess champions within a decade was the epitome of the field's founding optimism; the Lighthill Report...

Samuel Morse's 1844 telegraph could cross forty miles in seconds and still required a messenger boy to walk the final blocks — this is the last mile problem, the persistent gap between the speed of the signal and the completion of the action the signal was meant to enable. Every communication technology in history has reproduced this gap in a new form: the telephone could connect voices but could...

The internet was not a communication technology — it was a network effects technology, and Squash treated it as the former while missing the latter entirely. The sport put its booking sheets online, built digital brochures it called club websites, and used the most powerful connective infrastructure in human history to broadcast information to passive audiences rather than build relationships betw...

Data was accumulating through the 1990s and early 2000s as a byproduct of ordinary human activity on the internet — not gold, which requires intentional extraction, but oil seeping from the ground, valuable only when the technology to refine it arrived. Google's PageRank demonstrated that learning from the statistical patterns in human behaviour at scale produced better results than encoding rules...

The iPhone arrived in 2007 as the first communication technology that was simultaneously personal, persistent, social, and always connected — eliminating the conscious act of engagement that every previous technology had required and making the network permanently present. Facebook, YouTube, Twitter, and Instagram collectively created the most powerful community-building infrastructure in human hi...

AlexNet's 15.3 percent error rate at the 2012 ImageNet competition, against the second-place team's 26.2 percent, was not an incremental improvement — it was the demonstration that the neural network approach was so fundamentally superior to the symbolic paradigm that the field's center of gravity shifted permanently in a single afternoon. The GPU, developed by NVIDIA for video games since 1993, t...

GPT-3 arrives with 175 billion parameters and changes everything — not because of what it can do, but because of what it reveals. Capability is no longer a research problem. It is an engineering problem. The scaling laws make the trajectory of AI predictable for the first time in the field's history.

Between 2020 and 2022, AI speciated. DALL-E, Codex, AlphaFold 2 — the Transformer template replicates across every domain that can be represented as data. The AI-native company category forms. By the end of 2022, every component of a unifying squash platform would exist. The ignition is eleven weeks away.

On November 30, 2022, OpenAI released ChatGPT. One million users in five days. One hundred million in two months. No consumer technology in history moves this fast. Underneath the hype is a genuine discontinuity — and for squash, the moment the last mile finally closes.

The gap between capability and utility — the last mile — is the hidden thread connecting squash's fragmented infrastructure and AI's long journey toward agency. Instruction following, tool use, and a decade of quietly built API infrastructure converge simultaneously. The messenger boy goes home.

Rob Eberhard picked up a squash racquet at twelve years old, handed to him by his father. He never put it down — building clubs, teaching players, selling racquets out of the back of his car between tournament rounds, and eventually spending eleven years and five pivots trying to build the infrastructure the sport was missing. His daughter Sage left competitive squash not because she stopped lovin...

How did you first start playing squash? Someone invited you. Network effects explained through Metcalfe's Law, Facebook's social graph, and the three-thousand-telephone-companies catastrophe of 1904. The difference between a tool and a network: tools solve problems, networks compound. What would a universal connection mean for a sport whose players have never truly been connected to each other?

K greater than one. The participation in mathematics that explains why squash has been declining despite genuine effort. The initiative trap — programs that produce participants but not advocates. The specific digital architecture that converts participants into advocates and replaces individual effort, which resets, with infrastructure, which compounds. The public facility is the sport's most imp...

Bell's patents expired in 1894, and six thousand telephone companies fragment a network that only works when it is one network. Visa, Stripe, and AWS followed the pattern that follows: fragmentation, neutral connector, interoperability, compounding value. The most defensible position in the sports technology stack is not the most powerful one. It is the most trusted one. Trust cannot be purchased...

The mission and the commercial model are not aligned. They are the same thing. Everything on the platform needs to lead to the growth of the sport, or it does not get added. A platform that grows only when the ecosystem grows cannot extract value from a declining community — it can only create value by growing one. The structural constraint that makes the right behaviour the commercially necessary...

Squash's challenge has never been passion — it has been infrastructure. ClubHub is building the compounding digital layer the sport has always needed, and three forces have converged to make this moment uniquely actionable: AI is production-ready, culture is hungry for purposeful community over algorithmic noise, and the 2028 Los Angeles Olympics will deliver the largest audience squash has ever h...