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China's First Gaming Billionaire Now Chasing Artificial General Intelligence

Chen Tianqiao dominated China's gaming industry in the early 2000s and became one of the country's wealthiest entrepreneurs. But mental health struggles forced him to step back from the spotlight — and eventually abandon his gaming empire entirely. What's interesting is what he's doing now: he's relocated to the United States with an audacious new mission that makes his previous ventures look modest by comparison.

Today, Chen is pursuing what many consider the holy grail of artificial intelligence: discovering the fundamental "source code" of human consciousness to build AI systems that surpass human-level intelligence.

From Gaming Mogul to AI Researcher

Chen is leveraging the vast fortune accumulated during his earlier success — including Shanda Interactive Entertainment's 2004 Nasdaq listing following the massive hit The Legend of Mir II — to develop what he calls "discoverative AI."

Unlike today's large language models, which essentially learn to mimic human-generated content, Chen describes his approach as self-directed. Discoverative AI, in his vision, would autonomously uncover new knowledge rather than simply reproduce existing patterns.

Crucially, Chen emphasizes that his goal isn't replacing humans. Instead, he wants to build systems capable of solving problems that humans simply cannot tackle alone.

"I want to create AI not just as a replacement for humans, but to accomplish things humans cannot do — to push humanity further," Chen stated.

Chen Tianqiao

In his first international media interview in nine years, Chen outlined his ambitions for discoverative AI: discovering novel knowledge and predicting complex real-world events by integrating long-term memory, causal reasoning, and predictive modeling.

Chen and the Shanda Group plan to invest over $2 billion into this initiative, spanning both AI startup incubation and proprietary technology development.

The Push Toward AGI

What Chen is pursuing is formally known as Artificial General Intelligence (AGI) — AI capable of performing diverse intellectual tasks at human-comparable levels.

If achieved, AGI could revolutionize disaster preparedness, accelerate drug discovery, and tackle some of humanity's most intractable scientific challenges.

Chen revealed he's already testing his AI systems for smarter investment decisions, geopolitical forecasting, and even predicting outcomes on prediction markets like Polymarket.

While skeptics remain divided on AGI's timeline, fewer experts now believe we're decades away from such systems materializing. The consensus has shifted noticeably.

AGI

A Billionaire's Winding Path

During his Shanda years in the early 2000s, Chen commanded significant influence in tech circles. His profile occasionally rivaled Jack Ma of Alibaba — a striking achievement in China's competitive landscape.

Then panic attacks derailed his public presence. Chen took Shanda private in 2012 and sold it outright in 2014, stepping almost completely away from operational responsibilities.

After a stint in Singapore, he relocated to the United States and transformed Shanda into a diversified tech investment vehicle. His portfolio expanded across equities, venture capital, and beyond — with stakes in companies like Legg Mason, LendingClub, and Sotheby's. However, Chinese citizenship regulations prevented him from serving on boards or exerting direct management influence.

When U.S.–China tensions escalated during Trump's first term, Chen shifted toward passive financial investments. The strategy boosted his wealth, but it left him personally unfulfilled.

In America, Chen grew increasingly fascinated by neuroscience research. He committed $1 billion to brain science initiatives and partnered with the California Institute of Technology.

Shanda also became a major investor in brain-computer interfaces (BCI) — the same field Elon Musk pursues through Neuralink. These systems convert neural signals into digital commands, potentially stimulating specific brain regions to treat neurological conditions like epilepsy and Parkinson's disease.

Building Independent AI Infrastructure

As the generative AI boom exploded in recent years, Chen pivoted sharply toward advanced AI development.

While his investment pales next to players like OpenAI, Chen insists his strategy differs fundamentally. He's not chasing scale alone. The real concern he's addressing is architectural breakthroughs in AI cognition itself.

He's earmarking an additional $1 billion for data infrastructure and computing systems.

Chen plans to leverage roughly 700,000 acres of forestland he purchased in 2018 — predominantly across Oregon and Ontario — to supply clean, stable energy to AI data centers.

He's actively researching geothermal energy deployment for U.S.-based compute facilities, which he intends to open to AI researchers worldwide.

The initial phase involves a pilot compute center operating at megawatt-scale capacity, budgeted between $300–500 million.

Chen firmly believes superhuman AI represents the largest inflection point in technological history.

Humanity, he argues, is creating a form of intelligence that could exceed its own capabilities.

He also dismisses concerns about an AI bubble, pushing back against tech pessimism with characteristic boldness.

In a tongue-in-cheek moment, Chen suggested that future historians might not divide time into "Before Christ" and "After Christ," but rather into "Before ChatGPT" and "After ChatGPT."

"We're only in year three of the ChatGPT era," he remarked. "The road ahead for AI remains incredibly long."

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