The AI-Driven VC: A New Era In Investing

Ninth article of Doug Laney's series on AI and data strategy
AI and advanced analytics are revolutionizing the venture capital industry, shifting it from a relationship-driven field to one informed by data analysis.

Editor’s Note: This article was originally authored by our colleague and BARC Fellow, Douglas Laney, and was first published on Forbes.com. We are republishing it with full permission, as we believe its insights are highly relevant to the topics we cover and valuable for our community

A venture capital (VC) revolution in advanced analytics and artificial intelligence (AI) is advancing an industry traditionally driven by relationships and intuition. For decades, the art of venture capital was based on a partner’s “gut feeling,” personal network, and ability to spot talent through conversation. Today, the science of data is augmenting that art, creating a new, more formidable type of investor: the AI-driven VC.

This new breed of VC is leveraging data across the entire investment lifecycle. For deal sourcing, they use AI algorithms to scan millions of data points—from new company registrations and website traffic to social media sentiment and academic publications—to identify promising startups long before they appear on the radar of traditional firms.

During due diligence, intuition is supplemented with rigorous data analysis. AI models can assess market size, analyze competitive landscapes, and even evaluate the founding team’s characteristics against profiles of previously successful entrepreneurs. This data-driven approach helps to validate investment theses and uncover risks that might otherwise go unnoticed.

The impact extends to portfolio management as well. VCs can use analytics to monitor the health of their portfolio companies, predict which ones may be heading for trouble, and identify opportunities for growth or strategic introductions. This shift from art to science is not replacing human judgment but enhancing it, creating a more efficient, and potentially less biased, investment landscape.


The transformation of the venture capital industry is a compelling case study in how data creates value. While this example is specific, the underlying principles are universal. For professionals interested in how these data monetization strategies are being applied across the broader market, our BARC+ subscription offers unrestricted access to our full research library. A relevant starting point is our analysis of the key trends from over 1,000 organizations.

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About the author(s)

BARC Fellow

Douglas Laney is a renowned thought leader and advisor on data, analytics, and AI strategy. He is a best-selling author, as well as a featured speaker and business school professor. Laney has been recognised repeatedly as a top-50 global expert on data-related topics and is a three-time Gartner annual thought leadership award recipient. He originated the discipline of infonomics – recognising and treating data as an actual economic asset. Laney continues to focus on helping organisations and their leadership innovate with and optimise the value of their data assets.

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