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Why venture capital must evolve to keep pace with AI innovation

  • Venture capitalists invest in startups based on their belief in the team, market potential, and technology in early-stage investments.
  • Investors should try to envision how artificial intelligence (AI) will impact the future while assessing teams' ability to deliver on their promises.
  • AI technologies, such as large language models, ChatGPT by OpenAI, Claude, and Perplexity, are significantly impacting and improving our lives.
  • The rapid pace of innovation is one of the key differences now compared to other technological shifts in recent years.
  • While AI is not magic, optimism can lead to overvaluations or investment in unproven concepts.
  • Investors must look for a barrier to entry, which is not AI itself but rather a new business model, an exceptional user experience, or the team's ability to execute effectively.
  • Investors must ask themselves if the team really needs funding, how much they need to start with, and how much capital is required to train AI models and utilize computing resources.
  • Startups possess agility and the ability to pivot quickly, while incumbents have resources, but they face bureaucratic processes that slow them down.
  • Investors must adapt their strategies, focus on the fundamentals, and support teams with brilliant ideas, resilience, and flexibility to navigate the rapid technological advancement.
  • Investing in the AI era is both exciting and challenging - the pace of innovation means that opportunities are vast, but so are the risks.

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