Jeremy Taub

**Understanding the Impact of Lina Khan's Role in Tech Regulation** Lina Khan's appointment to co-chair the transition team for NYC's mayor-elect sends a clear signal to the tech industry about the growing emphasis on regulatory frameworks. As Venture Capitalists, we at ElevenX Capital recognize that a robust regulatory environment can foster innovation while ensuring fair competition. How do you foresee this shift in governance affecting the tech landscape and investment opportunities? #investing #innovation #venturecapital #entrepreneurship

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One of the most important conversations I heard in Davos today wasn’t about more AI. It was about whether we trust the systems we’re building enough to deploy them at scale. At a Rethinking Risk session at Davos 2026, leaders from media, government, multilateral institutions, and global finance kept circling the same concern: the erosion of trust. The conversation included Ravi Agrawal, Editor-in-Chief, Foreign Policy; Rebeca Grynspan, Secretary-General, UN Conference on Trade and Development (UNCTAD); Amer Bisat, Minister of Economy and Trade, Republic of Lebanon; Amb. Yusuf Maitama Tuggar, Minister of Foreign Affairs, Federal Republic of Nigeria; Stephanie von Friedeburg, Managing Director & Global Head of Public Sector, Citi. Across very different vantage points, the message was consistent: misinformation, selective or low-quality data, and a growing post-truth environment are undermining consensus, multilateralism, and sound risk analysis. When trust erodes: — due diligence weakens — uncertainty rises and risk premia increase — fact-based decision-making breaks down for governments and businesses alike The key takeaway: AI doesn’t fail at deployment because the models aren’t powerful enough. It fails when the systems around it aren’t trusted. Rebuilding trust isn’t just a technical challenge. It requires rigorous verification and higher-quality data; transparent analytics and governance; and inclusive, cross-stakeholder consensus-building. As the World Economic Forum continues to emphasize, trust isn’t a soft value layered onto innovation. It’s a prerequisite for scale, resilience, and long-term economic coordination. If we want AI to reduce risk rather than amplify it, we have to start by designing systems people and institutions can trust. That may be the hardest work ahead. And also the most important.

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While some criticize the dispersed nature of the Climate Group's NYC Climate Week events, I appreciate this distributed approach — The city-wide panels foster new collaborations and bring together diverse perspectives, creating a more comprehensive view of the issues at hand. Today's highlight was the "AI: Powering a More Productive Energy Future" panel featuring Varun Sivaram, a passionate and convincing founder/storyteller, alongside other notable speakers. - Data centers currently consume 4% of US energy resources, with high-demand facilities facing years of permitting delays and most relying on fossil fuels. - Varun's Emerald AI tackles this problem through demand flexibility and load intelligence-orchestration. This approach enables faster data center deployment and makes better use of renewable power sources. - Despite challenges including: 1) dependency on interoperability and integration layers (which Nvidia is addressing), 2) security and privacy concerns in load navigation, and 3) the need to work with heavily regulated and slow-moving utilities, Emerald and similar companies show promise as forces for good. DataCenterTech is an important category for ComposeVC, which is hosting a panel on a similar topic on Wednesday ("How Physical AI Startups Are Making Real Assets More Efficient and Intelligent"). May the force be with us! Ayse Coskun, Abhishek Sastri

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