How VC Investors Think About AI Startups

Learn Investor Perspectives and Decision Making Processes Around Investing in Artificial Intelligence Startups

How VC Investors Think About AI Startups
How VC Investors Think About AI Startups

How VC Investors Think About AI Startups free download

Learn Investor Perspectives and Decision Making Processes Around Investing in Artificial Intelligence Startups

The 1Mby1M Methodology is based on case studies. In this course, Sramana Mitra shares the tribal knowledge of tech startup investors by giving students the rare seat at the table with investors who provide the most instructive perspectives on how to build a thriving business. Through these conversations, students gain access to case studies exploring the alleys of entrepreneurship. Sramana’s synthesis of key learnings and incisive analysis add great depth to each discussion.

There’s a lot of confusion around AI right now. The hype is astronomical. Amidst this noisy environment, we’re trying to bring you some signal, some wisdom. To that end, we’ve been speaking with many VC investors to gain their perspectives and share these conversations in this course to help guide entrepreneurs who are building or interested in artificial intelligence startups that may need funding.

This course is an exploration of AI investment strategies in the current tech landscape, highlighting investor perspectives in the Age of AI. You’ll learn how machine learning is shaping VC decision-making and hear about specific examples of AI companies they invested in and the rationale behind these choices.

Many conversations cover enterprise AI adoption, focusing on what investor portfolios reveal about the behavior of ML buyers in enterprises. Investors share views on the potential of general artificial intelligence versus specialized vertical applications, particularly in sectors they find promising.

Other key themes we explore include the challenge of AI hallucination, where generative AI produces inaccurate information, and its impact on the industry. There’s also a focus on whether the investor is backing AI platforms and applications built on third-party platforms or PaaS, exploring the infrastructure required to scale AI. We talk about superintelligence potentially rendering vertical AI obsolete and what future investments might look like in five years.

Altogether, this course reveals the strategic approach of investors to AI startups, shares current learnings from their portfolios, and their projections for the future of AI technology and its broader implications. Let’s get started!