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Gate founder and CEO Dr. Han took the stage at the Oxford Debate Society to share his 13-year entrepreneurial journey from a one-person company to global development

On November 12, Gate founder and CEO Dr. Han was invited to speak at the Oxford Union, delivering a keynote speech titled "Start Alone," reflecting on his 13 years of entrepreneurial journey since founding Gate alone in 2013. He shared experiences and thoughts on entrepreneurial resilience, rapid innovation, team building, and opportunities for entrepreneurship in the AI era.Dr. Han stated that the founding of Gate stemmed from his early experiences of losses incurred through trading on online forums. To create a more trustworthy digital asset trading platform, he started his business alone without external venture capital support. Since then, Gate has experienced multiple industry fluctuations and significant business challenges, gradually growing through continuous innovation and adjustments. He emphasized that maintaining a strong long-term belief, quickly seizing new opportunities, and continuously improving innovation and execution efficiency are crucial factors for companies to face challenges and achieve long-term development.Regarding the AI era, Dr. Han proposed the "Boss + AI" model, pointing out that AI can significantly enhance information acquisition, knowledge learning, and daily work efficiency, empowering individual entrepreneurs with stronger execution capabilities. At the same time, he emphasized that "Start Alone" does not mean always going it alone; entrepreneurs must have the courage to take the first step independently while also seeking suitable partners and team members during the development process. Through this keynote speech at the Oxford Union, Dr. Han brought Gate's 13 years of entrepreneurial journey into a broader industry discussion and, drawing from years of personal practice, provided insights and inspiration for a new generation of entrepreneurs.

Barclays: The Nvidia controversy and financing risks cannot hinder the long-term trend of AI; investors should still maintain exposure

Julian Lafarge, Chief Market Strategist at Barclays Private Bank, stated that despite the uncertainty surrounding Nvidia CEO Jensen Huang's future, the uncertain returns on AI investments, and rising financing costs testing market confidence, investors should continue to participate in the AI market. Lafarge believes that AI is not a bubble but a technological revolution that will impact all industries, although its commercialization and infrastructure development cannot happen overnight.Lafarge pointed out that Nvidia is referred to as the "central bank of AI trading," but even if the company changes its CEO, it does not mean that the entire AI industry chain's trading needs to be re-evaluated or renegotiated. He compared the potential leadership transition at Nvidia to previous management transitions at Microsoft, Alphabet, and Amazon, arguing that a successor taking over does not necessarily weaken corporate value.However, Barclays lists interest rates and the financing environment as major risks that could disrupt the market. As the scale of AI infrastructure investment expands, the market's focus is shifting from whether the demand for computing power is real to whether the massive capital expenditures can generate sufficient returns. Data center construction also faces bottlenecks such as power access, equipment installation, and commercial operation cycles, while expectations of tightening Federal Reserve policies may also raise corporate financing costs and depress long-term cash flow valuations.Lafarge emphasized that the trillions of dollars in AI investment commitments cannot quickly translate into actual computing power delivery, and there will be significant divergence in investment returns among companies. Tighter financing conditions may change the pace of industry investment and competitive landscape, but it does not mean that the long-term demand for AI infrastructure will disappear. Barclays still prefers to maintain exposure to AI investments until there are clear signs of a significant slowdown in industry growth momentum.
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