AI and Data in the Venture Business

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Oct 21, 2024

Join Gabriel Shin, co-founder of Landscape, an AI operating system for venture capital, as he shares insights from his banking background. He discusses the revolutionary impact of AI on the venture landscape, enhancing investment efficiency through data-driven strategies. Topics include the future trends in venture capital, the importance of relationships amidst technology, and the evolving role of junior VC talent. Discover how AI can free individuals to focus on innovation rather than displacement, all while navigating the challenges of adapting to these rapid advancements.

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INSIGHT

VC Value Chain Focus

Venture capital is a value chain composed of fund formation, investment, and portfolio management phases.
Landscape focuses on the investment phase to help investors source and evaluate startups efficiently with data and AI.

INSIGHT

AI Adoption in Venture Firms

Most venture firms are now adopting AI to gain tangible results in their investment processes.
Using AI tools for sourcing and evaluation will become standard to generate alpha and spot the right opportunities.

INSIGHT

Proprietary Advantage in VC

Deal flow is not proprietary; founders talk to many VCs simultaneously.
Proprietary advantage lies in winning deals through brand, network, and value creation, not just data access.

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In this episode, I explore the growing role of AI in the venture capital business with Gabriel Shin, co-founder of Landscape.

Massive and rapid advancements in AI have captured the attention of various sectors, including startups and venture capitalists. While the broader ecosystem often focuses on AI's technical innovations, the application of AI within venture capital still needs to be discussed more.

Landscape as an AI operating system is designed to streamline the venture capital workflow by leveraging data and automation to improve efficiency. It focuses on the investment phase, where the platform helps investors source and evaluate potential startups using a data-driven approach.

In the discussion, we touch upon many critical points, such as the future of venture capital, the increasing commoditization of startup discovery and evaluation through AI tools, the future of Junior VC talent, the growth of Partner-led and Solo GPs, the role of relationships in the venture business, and so much more.

Where to find Gabriel Shin:

• LinkedIn: ⁠https://www.linkedin.com/in/gabrielshin/

• Website: ⁠https://www.landscape.vc/

Where to find Rohit Yadav:

Web: ⁠https://linktr.ee/rohityadav⁠

LinkedIn: ⁠https://www.linkedin.com/in/rohityadav23/⁠

Newsletter: ⁠All Things VC⁠

In this episode, we cover:

(00:00) Episode intro
(01:12) Intro: Gabriel Shin
(02:01) Intro: Landscape
(03:03) Motivation to join Landscape
(04:00) Growth in Private markets
(05:18) Where are we in the AI cycle?
(08:00) What’s currently possible in the realm of AI and data tools available today?
(09:07) Is there any use case within AI that is over-hyped?
(10:19) AI future: One use case that we should look out for
(12:06) Venture Business value chain
(13:04) Landscape’s focus within the VC value chain
(14:04) Evolution of AI tools at the startup discovery phase
(15:37) Where will the differentiation or Alpha for VCs exist in the future?
(20:24) Does Landscape focus on a specific stage of VC investing?
(22:35) Should traditional VC managers be fearful of AI in venture business?
(24:53) Evolving role of Junior VC talent
(27:15) How can Tech and AI influence the VC ecosystem?
(28:45) Technical and Product insights into building Landscape
(37:22) Landscape’s secret sauce
(38:34) Is there a first-mover advantage in AI tools for VCs
(40:13) Personal side: What keeps you motivated?
(41:36) Personal side: Role of mentors and advisors
(42:56) Personal side: Book ‘Focus’

Referenced:

Book ‘Focus’ from Daniel Goleman (https://www.amazon.com/Focus-Hidden-Excellence-Daniel-Goleman-ebook/dp/B00BATG220/)