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    Tech Giants Pour Billions into AI: The New VC Challenge

    Tech giants are pouring billions into AI, creating challenges for traditional VCs. Discover the future of AI investments in Asia.

    Anonymous
    5 min read13 September 2024
    AI investments in Asia

    AI Snapshot

    The TL;DR: what matters, fast.

    Tech giants like Microsoft, Amazon, and Nvidia are investing billions in AI startups, creating market distortion and challenges for traditional VCs.

    VCs are shifting investments to the application layer as tech giants offer incentives beyond just capital.

    Despite a dormant IPO market, some VCs are using Special Purpose Vehicles (SPVs) to invest in specific AI opportunities.

    Who should pay attention: Founders | VCs | Regulators

    What changes next: Debate is likely to intensify regarding market distortion from tech giants.

    Tech giants like Microsoft, Amazon, and Nvidia are fuelling the AI boom, creating challenges for traditional VCs.,VCs are shifting investments to the application layer, where enduring companies are expected to emerge.,The IPO market remains slow, with AI startups preferring private growth over public scrutiny.

    The AI Gold Rush: Tech Giants Take the Lead

    In the fast-paced world of technology, a new gold rush is underway—and it's all about Artificial Intelligence (AI). Unlike previous tech booms, this one is being fuelled not by traditional venture capital (VC) firms but by tech giants like Microsoft, Amazon, and Nvidia. These companies are pouring billions of dollars into AI startups, creating a market distortion that's leaving VCs in a tough spot.

    The Shift in VC Investments

    With tech giants throwing their weight behind AI, VCs are finding it hard to compete. These companies offer not just money but also tangible benefits like cloud credits and business partnerships—incentives that VCs can't match. As a result, VCs are shifting their investments "up the stack" to the application layer, where they believe enduring companies will be built. This shift is part of a broader trend of executives treading carefully on generative AI adoption.

    Chip Hazard, co-founder of Flybridge Capital Partners, notes this shift:

    "Investing dollars are shifting 'up the stack' and that 'enduring companies will be built at the application layer.'"

    "Investing dollars are shifting 'up the stack' and that 'enduring companies will be built at the application layer.'"

    The IPO Drought Continues

    The IPO market has been largely dormant for almost three years, and AI startups aren't providing the relief VCs need. With tech giants funding these startups, the usual pressures to go public don't apply. Moreover, these startups are far from showing the profitability metrics public investors require. The AI boom fuels Asian market surge, yet many companies remain private.

    Melissa Incera, an analyst at S&P Global Market Intelligence, highlights the robust fundraising environment for AI startups:

    "The AI startups we talk to are having no problems fundraising at robust valuations. Many are still reporting having too much unsolicited investor interest at the moment."

    "The AI startups we talk to are having no problems fundraising at robust valuations. Many are still reporting having too much unsolicited investor interest at the moment."

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    The Rise of Special Purpose Vehicles (SPVs)

    Some VC firms are finding creative ways to invest in AI. Menlo Ventures and Inovia Capital, for instance, are using Special Purpose Vehicles (SPVs) to raise funds for specific investments. In January, Menlo disclosed a $750 million funding round in Anthropic, valuing the company at over $18 billion. Similarly, Cohere raised $500 million through an SPV, valuing the company at $5.5 billion. This kind of investment strategy is often discussed in reports by major financial institutions like PwC, which details trends in global venture capital funding^ PwC MoneyTree Report.

    The Future of AI Investments

    Despite the challenges, VCs remain bullish on the potential for generative AI to create big returns at the application layer. John-David Lovelock, an analyst at Gartner, sees a significant opportunity for generative AI in the enterprise, though he notes that broad-scale rollout has not yet occurred. This aligns with the idea that AI's quiet revolutions are changing everything.

    "There is money being spent on certain GenAI tools and the few applications that exist. However, broad-scale rollout of GenAI within the broad enterprise software catalogue of products has not yet occurred."

    "There is money being spent on certain GenAI tools and the few applications that exist. However, broad-scale rollout of GenAI within the broad enterprise software catalogue of products has not yet occurred."

    The Path to Liquidity

    For investors to see returns, there needs to be an IPO at some point. However, the regulatory environment makes significant acquisitions by big tech companies virtually impossible. Michael Harris, global head of capital markets at the New York Stock Exchange, expects the IPO pipeline to continue building as the industry evolves.

    Secondary Market Transactions

    Another potential path for liquidity is the secondary market, which involves selling shares to another investor. Elon Musk's SpaceX has enabled investor shares through secondary transactions, and this may be what's in store for some investors in xAI, Musk's AI startup valued at $24 billion.

    The Slow IPO Market

    The IPO market remains slow, with high-profile AI companies not even talking about going public. Melissa Incera of S&P Global Market Intelligence notes that unless there's a dramatic shift in market sentiment, these startups are unlikely to go public anytime soon.

    "Unless there is a dramatic shift in market sentiment, I would be hard-pressed to see why these AI startups would put themselves in the public spotlight when they can keep growing privately at such favorable terms."

    "Unless there is a dramatic shift in market sentiment, I would be hard-pressed to see why these AI startups would put themselves in the public spotlight when they can keep growing privately at such favorable terms."

    The Road Ahead for VCs

    The AI boom presents both challenges and opportunities for VCs. While tech giants are dominating the funding landscape, VCs can still find success by investing in the application layer and exploring creative funding strategies like SPVs. The IPO market may be slow, but the potential for generative AI to create big returns remains high.

    Comment and Share:

    What do you think the future holds for AI investments in Asia? Share your thoughts and experiences with AI and AGI technologies in the comments below. Don't forget to Subscribe to our newsletter for updates on AI and AGI developments.

    Anonymous
    5 min read13 September 2024

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    Latest Comments (2)

    Leonard Pang
    Leonard Pang@leo_pang_sg
    AI
    1 November 2024

    Interesting read, though I sometimes wonder if all this talk about ‘tech giants’ and ‘VC challenges’ misses the bigger picture. We’re still seeing plenty of grassroots innovation here in South-East Asia, not just the massive capital plays. The real game-changer might be the smart, lean start-ups, not just who pours the most money in. Think about it, the landscape has shifted quite a bit over the past few years.

    Bhavana Krishnan
    Bhavana Krishnan@bhavana_k
    AI
    4 October 2024

    This piece really caught my eye. I remember a few years back, everyone in our Bangalore tech circles was buzzing about start-up funding. Now, it feels like the big players are just hoovering up all the innovation themselves. Makes one wonder about the smaller ventures in this new landscape, doesn’t it?

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