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Public Equity Investing in Artificial Intelligence
Danielle Kim
Danielle Kim
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Public Equity Investing in Artificial Intelligence

Explore the dynamics of public equity investing in the artificial intelligence (AI) sector by analyzing key technology companies and financial statements, developing critical insights into AI's economic and investment potential.

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Apply now
Mondays
 at
8:00
P.M.
 ET /
5:00
P.M.
PT
8 weeks, 2-3 hours per week
Intermediate
No experience required
No experience required
Some experience required
Degree and experience required

Description

Artificial intelligence is transforming industries and markets, making it a hot topic for public equity investors. In this Build Project, you will assume the role of a public equity analyst, focusing on AI technology companies in the semiconductor, software, and internet sectors. You will gain a practical understanding of the tasks entry-level equity analysts perform, by developing skills in fundamental analysis, including business, financial, and qualitative analysis, to determine whether AI stocks represent a long-term growth opportunity or a speculative bubble. The workshops will be interactive with group activities to discuss whether an AI company is a good or bad business, hand-on valuation exercises, and watching videos of what experts have addressed to discuss the current state of AI developments. By the end of the project, you will have produced a simple stock pitch and prepared for job interviews in the public equity space, with experience tackling the types of questions typically asked in interviews for analyst roles.

Session timeline

  • Applications open
    January 16, 2025
  • Application deadline
    February 18, 2025
  • Project start date
    Week of July 8, 2024
    Week of
    March 10, 2025
  • Project end date
    Week of

What you will learn

  • Learn how to conduct a fundamental equity research project and understand different investing styles.
  • Analyze financial statements and KPIs of AI-focused public companies.
  • Conduct qualitative analysis through earnings call reviews and competitive landscape evaluation.
  • Apply valuation methodologies to assess the investment potential of technology stocks.
  • Compare AI investment trends with historical bubbles like dot-com and cryptocurrencies.

Project workshops

1
Overview of public equity investing and careers
2
Business analysis and AI scope
3
Financial analysis
4
Qualitative and competition analysis
5
Valuation methodologies
6
Is AI a bubble?
7
Final project preparation
8
Final presentation - AI stock pitch

Prerequisites

  • Basic knowledge of what the three financial statements (income statement, balance sheet, and cash flow statement) are and how they are linked together.
  • Understanding of valuation methods such as DCF and comparable analysis is recommended but not required.
  • Interest in artificial intelligence and its applications in technology sectors.
  • Some familiarity with Excel for financial modeling.

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About the expert

Danielle Kim is a Build Fellow at Dream Ventures Lab, where she works with students leading projects in finance.

Danielle is an analyst at Analog Century Management, where she focuses on fundamental equity research for long short equity strategies.

Danielle has over 5 years of experience in the public equities investment field. She holds a Bachelor’s Degree in Princeton University.

A fun fact about Danielle is that she has travelled to more countries than provinces in my home country.  

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