My mind is AI: Why Silicon Valley awaits its long-lost son, Ashwin

Right before Ravichandran Ashwin could send MLC batters into a tizzy, he had already sent San Francisco Unicorns co-owner Anand Rajaraman into one.

The Silicon Valley venture capitalist, whose firm has backed some of the most ambitious AI startups in the world, found himself fielding a barrage of questions from R Ashwin at his Chennai residence about the Unicorns' proprietary AI-driven player evaluation and match strategy algorithm. And not just Anand. It is believed Ashwin had the algorithms themselves spinning as well. The same eagle eye that spent two decades dissecting batters' techniques and exposing their hidden vulnerabilities was now turning its attention towards the blind spots embedded within cricket's artificial intelligence.

"It turned out that we both are Chennai boys and we also went to the same high school of St. Bede's so it was easy for us to connect. I have been a huge fan of Ashwin throughout his career. He is a legend of the game but also a top quality thinker which impressed me a lot. And that is evident from his YouTube channel, which is hugely popular, which I routinely watch. And also his keen interest in the Bay Area. As we know, the Bay area not just has the biggest set of fans but also the technology connection. He's very keenly interested in where technology is going in the space of cricket especially with us in the Silicon Valley, we are pushing the limits of technology with our tech team as well. So all of that also piqued his interest. So, all these things connected together and led to this," Rajaraman said.

Rajaraman and the Unicorns' analytics team realized early on that Ashwin wasn't merely happy with correlations identified by the SFU AI, Ashwin's instinct was to search for causation. One discussion that particularly stood out involved Hardik Pandya's matchup against left-arm spin. The Unicorns' in-house AI models flagged an intriguing trend: Mitchell Santner had proven significantly more effective against Hardik than Keshav Maharaj. Hardik's strike rate against Maharaj sat at 105. Against Santner, it dropped to 79, with the New Zealander also enjoying greater success in dismissing him.

Digging through the data, Ashwin identified a pattern. Santner's stock ball was generally slower than Maharaj's, while his arm-ball was delivered at a noticeably higher pace. The result was a broader range of speeds for the batter to process. Maharaj, by contrast, operated within a narrower speed range, making his variations comparatively easier to anticipate. The ball trajectory offered another clue. Santner's trajectory tended to be loopier and more variable, forcing constant recalibration of length and speed. Maharaj's trajectory was flatter and more consistent, allowing a batter of Hardik's caliber to settle into a rhythm more quickly.

"My mind is AI," Ashwin quipped during an interaction with Harsha Bhogle at the AWS AI Conclave in January 2025.

Of course, Ashwin wasn't making a boast. If anything, he was attempting to explain the process that had defined one of cricket's most fascinating careers. A process built around consuming vast amounts of intelligently curated information, identifying patterns invisible to most, questioning accepted wisdom and constantly searching for answers beyond the boundaries of the cricketing textbook.

Much like the LLM models powering today's AI revolution, Ashwin's greatest strength has never been what he already knows. It has been his willingness to continuously absorb new information, form his own hypotheses and refine it further with a new wave of emerging evidence. It also helps from the fact that Ashwin hardly switches off. He is a voracious consumer of cricket as one can get admitting to watching domestic cricket from around the world in his free time.

Yet, reducing Ashwin merely to a data obsessive would miss another trait that has defined him throughout his career, an insatiable willingness to explore. In the same AWS AI interview with Harsha Bhogle, when asked for the one piece of advice he would offer aspiring spinners, Ashwin's answer was characteristically simple: "Explore. Don't be shy of it."

It is a philosophy he continues to embody long after his India career has wound down. Even in his fledgling media career, Ashwin has shown little regard for comfort zones. A native Tamil speaker, he readily embraced Hindi commentary during the IPL, sharing the microphone with the likes of Virender Sehwag and Harbhajan Singh, personalities for whom Hindi comes naturally and whose exchanges often drift into playful repartee. For Ashwin, the challenge was two-fold. Not only was he operating in a language that was not his strongest medium, but he was also stepping into an environment where wit, timing and instant responses are constantly scrutinized. The pressure is amplified in the age of social media, where every quip and comeback is clipped into reels and endlessly dissected by rival fan armies in search of bragging rights.

This curiosity to venture into unfamiliar territory mirrors one of the defining characteristics of modern AI systems. Ashwin has approached life in much the same manner. As a perpetual learner willing to expose himself to situations where failure is a possibility but growth is inevitable.

To that polymathic streak can be added another quality that often leaves listeners in awe: his remarkable ability to generate apt analogies on the fly. Much like a sophisticated AI model retrieving patterns from vast data sets and connecting seemingly unrelated concepts.

Case in point. During the IPL this year, as Chennai Super Kings' batting unit stumbled through another disappointing outing, Ashwin recollected his engineering days for an explanation. He remembered how cricket commitments often left him with little time to attend classes. In one particularly difficult examination, a lengthy question stumped almost the entire class, including the toppers. Ashwin, however, found a way through. Picking out a handful of keywords embedded within the question, he joined the dots and constructed an answer that even the toppers failed to answer.

"Within the riddle itself there can be answers," he remarked.

It was a simple anecdote, but it revealed the way his mind works. That unique blend of cricketing excellence, analytical thinking and intellectual depth may prove to be as valuable off the field as it has been on it. As Ashwin prepares to turn out for the San Francisco Unicorns, it is not just the franchise owners, coaching staff and teammates awaiting his arrival in the Bay Area. Across cricket's rapidly expanding American ecosystem, a host of stakeholders including sponsors, technology companies, investors and even aspiring cricketers will be watching closely.

"Ashwin ticks all the right boxes. He is a legend of the game, super intelligent, educated and articulate and on top of that is a bold but credible man far removed from controversies despite a career spanning a decade and a half. Representing the Silicon Valley team and being its biggest star, coupled with his reputation as the game's most Silicon Valley-esque cricketer, I would be surprised if his endorsement earnings are not at least double his playing contract," said a long-time Indo-American brand strategist who has been selling brands to the Indian diaspora for over two decades.

Representing the heart of Silicon Valley and situated amidst one of the largest and most affluent Indian diaspora populations in North America, the Unicorns may have landed a cricketer whose persona is remarkably aligned with the region itself. Ashwin is not merely a sporting icon; he is a figure whose interests and public identity extend into technology, analytics, and entrepreneurship.

Silicon Valley's growing cricket culture is increasingly being shaped by the same intersection of sport and innovation that has long fascinated Ashwin. Local folklore already includes stories of a 14-year-old leg-spinner whose impassioned lbw appeal was turned down during a club game. Frustrated by the decision and convinced he was right, the youngster went home and within a month had built a ball-tracking application to model the delivery's trajectory. Such is the fusion of cricket and technology in the Valley. Quite frankly, it is difficult to imagine a more natural fit for Ashwin the cricketer and the human he is.

"My mind is AI," as Ashwin once quipped. Now, cricket's most AI like mind is headed to Silicon Valley. A match truly made in heaven.