Sramana Mitra: There’s no question there’s value, especially in our world. Non-technical founders were always at a disadvantage. Now they can prototype and get to MVP quickly because of no-code tools, but the products still need to be built. No-code products don’t always scale or sustain.
Sandeep Sardana: There’s going to be a world where these tools are used effectively, and another where they don’t necessarily scale to that level. Other tools will emerge to complement them. For now, it’s an amazing use case.
Sramana Mitra: It’s an amazing use case—an amazingly useful tool.
Sandeep Sardana: Scale issues aside, they’ve carved out a space for themselves. Other tools are coming together around them. The distribution advantage they have and how fast they’re growing is phenomenal. It’s a global use case—one of the first true global use cases.
Sramana Mitra: My favorite case study of a no-code company is Base 44. In six months, with no financing, that company was acquired by Wix for $80 million. Wix is a perfect acquirer—they’re in the same space, have the customers, and can scale the product rapidly. It’s an excellent path for them and a great entrepreneurship story. This is an ultralight startup.
No-code has brought us a new genre of ultralight, product-led growth companies scaling faster than we’ve ever seen before.
Here’s my more complex question: In many Silicon Valley conversations, people are discussing AGI and when it hits the market. The timeline from experts ranges between three and ten years.
What happens to everything we’re working on if AGI arrives? Some believe it’s the end of capitalism—if AGI does everything better than people, all work could end. What happens to venture capital, vertical SaaS, or any business model? What’s your thesis?
Sandeep Sardana: It requires a clear definition. There’s AGI, there’s superintelligence, and a lot of confusing terms. To some extent, AGI may already exist in limited form, though not yet widespread.
Our view is that applied intelligence is as important, if not more. Data models, workflows, and governance structures are still human-defined and require human innovation. Humans will still be needed to interpret and implement insights.
I don’t think AGI will take over everything. Jobs will evolve, as they always have with technological change. Some junior-level roles—like programmers or underwriters—are being automated, but the workforce adapts and retrains, leading to new opportunities and overall economic improvement.
I don’t believe businesses will vanish or that technology will fully run itself.
When robo-advisors emerged in wealth management, people expected human advisors to disappear. Instead, the market grew. Advisors now leverage robo-advisors rather than being replaced by them.
Similarly, in real estate, technology tools make buying and selling homes easier, but there are still as many real estate agents as before. They use technology to be more efficient.
The same will happen with AGI. Tools will get better, humans will leverage them, and those who learn to use them effectively will thrive.
This segment is part 4 in the series : 1Mby1M Virtual Accelerator AI Investor Forum: Sandeep Sardana, BluePointe Ventures
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