Why Tim Draper is outsourcing himself to AI

Tim Draper is a busy guy.

The 67-year-old longtime venture capitalist and billionaire’s days are often scheduled down to the minute. He’s accustomed to working long hours, but to stretch himself even beyond the finite time in a day, Draper now has a digital twin (several of them, actually) to help him meet with countless entrepreneurs.

“Every tool has benefits and drawbacks, and, in my mind, the benefits way, way outweigh the drawbacks,” said the real Tim Draper of his digital twins. “There are a lot of people who have trouble with innovation, and they just want the world the way it is. They’re just content. But, I am an innovator, and I like trying new things, and this is a new thing, and it’s a new way of looking at venture capital.”

Digital twins are an emerging AI-powered technology that creates virtual representations of a person via text, voice and video formats. Draper has a chatbot twin accessible to anyone on the internet, along with an accompanying voice version designed to facilitate real-time conversations with startup founders.

Naturally, I had to try the chatbot. I posed as a fledgling founder pitching an AI infrastructure startup that would bolster news stories with accurate, expert sources.

The first thing it did was make clear that it couldn’t “make investments or give specific investment advice.”

The real Draper stressed to me that digital twins, still in their early days, are imperfect and the technology isn’t always reliable. Case in point: The voice version, designed to simulate a phone call with Draper, malfunctioned during my conversation with it. The twin gave a brief introduction and asked how it could help, before freezing up and delivering an error message.

Draper later called the software “flaky,” adding that the team is ironing out kinks. There are five active digital twins, built for external and internal purposes.

I switched to the Tim Draper chatbot, and its replies felt glacially slow compared to conversing with the chatbots of OpenAI and Anthropic. But even with the lag, the tone and cadence were Draper-esque: optimistic, blunt and relentlessly investor-brained.

Draper, on demand

My startup pitch got a warm reception.

“What a fun arena to be in,” Draper’s digital twin replied. “News plus AI infrastructure is a live wire right now. Since you want this to be a real rehearsal, let’s treat it like you are walking into a partner meeting.”

And it meant that literally. Within minutes, the chatbot pivoted from cheerleading to a skeptical partner-style stress test, asking about pricing, user counts and business economics.

The realism is the point. But it also highlights a gray area: where educational feedback ends and something that feels like investor guidance begins, particularly for founders who may never speak to the real Draper at all.

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Disclaimers, then due diligence

Because digital twins are so new, they have significant compliance risks. “The Draper Twin does not provide financial, legal, or professional advice,” reads a warning.

The website, meanwhile, explains: “Think of it as Tim Draper’s brain—not his signature.”

“Everybody in the world knows that digital twins have hallucinations,” Draper said. “So, you’re working with something that’s imperfect from the word ‘go.’ … People have to understand that it’s a digital twin. Some people are spending a lot of time with it, and they’re building a relationship with it, and that’s kind of a beautiful thing. They can talk to it more openly than they might even with me.”

Draper has loaded up his digital twins with thousands of data inputs to better emulate him. These range from media interviews and his writings to speeches and investor letters. It even gives detailed feedback on startup decks and advises founders on strategy, including how to achieve product-market fit.

In my test, I eventually tried to corner it with the key question: Would the real Draper take the meeting, or write a check? The twin refused to promise anything. Then it kept coaching.

Draper, whose VC firm, Draper Associates, opened its doors in 1985, said the likely drawbacks of waiting until digital twin technology improves before creating one are steep.

“A lot of VCs have gone and invested in AI companies, but we’re doing it for our own business,” he said. “And when you innovate, you get an early window where it’s going to go, and you can adjust accordingly. And that ends up being valuable. Short-term, it’s like, ‘wait, what’s he doing?’ And, long-term, it’s like, ‘hey, he seems to have this weird lead.’”

Users have the option to remain anonymous with Draper’s digital likeness, or they can create an account to save conversations. The main goal, Draper said, of the project is to help founders refine their ideas to a level of sophistication that’s ready to pitch to the firm itself—or to other VCs. The twins are powered by a mix of tech developed by startup TalkMe, other undisclosed companies, and internally.

Every week, the software selects about half a dozen of the most promising inbound pitches and sends them to the human Draper and his team. He personally evaluates them, sending feedback on hits and misses to the model to help it improve over time as it fine-tunes to Draper’s preferences.

This is only the next evolution in VCs’ ongoing use of AI for their own work, typically to take on time-consuming lower-skill tasks. PE firms have also been tapping large language models to source and evaluate complex deals, but they stress the tech has a ways to go before disrupting longstanding investment processes.