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Von Tobel Bets Big on Quantum Computing – A New AI Horizon?

Quantum Computing Venture Capital Artificial Intelligence Penny Pritzker Logiqal Jeffrey Thompson Neutral Atoms Ytterbium
September 23, 2025
Source: Wired AI
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Computational Shift
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Article Summary

Alexa von Tobel, founder of Inspired Capital, is making a bold investment in quantum computing, arguing it’s the logical next step after the rapid advancements in Artificial Intelligence. She frames quantum computing as analogous to AI’s trajectory in 2015—a period of intense research with nascent practical applications. Von Tobel’s firm is focusing on the hardware side, recognizing the substantial challenge of building scalable quantum computers. Their strategy centers around investing in companies like Logiqal, spearheaded by Princeton professor Jeffrey Thompson, who is pioneering a neutral atom approach using ytterbium. This approach aligns with her belief that quantum computing will unlock transformative advancements in fields like material science, pharmaceuticals, and logistics, potentially even enabling innovations such as extending human lifespan. Inspired Capital’s approach reflects a willingness to take ‘convex’ risks – investing in potentially high-reward, low-probability ventures, much like the approach taken in AI. The firm is wary of 'brand or speed' moats in the AI space, highlighting the potential for established tech giants to dominate, and instead focuses on companies with durable, defensible business models, such as BrightAI’s data monitoring sticker strategy. Von Tobel’s conviction underscores a belief that quantum computing, despite its current challenges, holds the power to fundamentally reshape industries and drive innovation in ways currently unimaginable.

Key Points

Why It Matters

This news is significant for professionals in venture capital, technology, and scientific research. Von Tobel's strategic pivot to quantum computing signals a recognition of its potential and highlights the importance of identifying emerging technological trends before they become mainstream. The potential for quantum computing to dramatically accelerate scientific discovery and industrial innovation demands attention, and her approach – focused on early-stage hardware development – offers a valuable lesson in strategic technology investment. It underscores the need for continuous learning and adaptation within the tech landscape.

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