AI Is Creating A Leadership Vacuum. Here's Why Women Must Fill It.

Key Concepts

Optimizing for Learning: Continuously seeking opportunities to acquire new skills and knowledge.
Leverage: Utilizing resources and strategies to maximize outcomes with minimal effort.
Risk Aversion vs. Risk-Taking: Contrasting approaches to decision-making, with immigrants often perceived as risk-averse.
Machine Translation: Using technology to convert text or speech from one language to another.
Transformers: A type of neural network architecture used in natural language processing.
Encoder-Decoders: A model architecture used in machine translation and other sequence-to-sequence tasks.
Natural Language Processing (NLP): A field of AI focused on enabling computers to understand and process human language.
AI Agents: Software programs that can autonomously perform tasks on behalf of users.
Equity: Ownership stake in a company, often used as compensation or incentive.
LPs (Limited Partners): Investors in venture capital funds.
GPs (General Partners): Managers of venture capital funds.
Party Round: A funding round with many small investors.
Taste, Judgment, Character, Collaboration, Creativity: Essential skills in an AI-driven world.

Lucy Go's Story: Optimizing for Learning

Lucy Go describes her journey as one of constantly "optimizing for learning." This began in kindergarten, where she sought ways to make money, leading to trading and selling Pokémon cards. Later, she learned to code to hack the game Neopets, using HTML, CSS, and PHP. She built internet marketing tools, including one of the first Twitter bots, which she sold for $10,000.

Early Entrepreneurship: Started hacking Neopets in second grade and building websites from then on.
College Dropout: Dropped out of college because she felt she was learning more at hackathons.
Snap Experience: Joined Snap to learn about product development from Evan Spiegel, who she considers one of the best product minds of this generation.
Venture Capital: Entered venture capital to learn about different industries and gain a broader perspective.
Consumer Focus: Currently focused on consumer ventures, which she considers one of the hardest challenges.

May's Story: Following Language Technology

May's entrepreneurial journey began with her family business at age eight. A central theme in her life has been language, growing up in a non-English-speaking household and becoming proficient in English. Her first company was in the machine translation space, driven by the desire to break down language barriers.

Machine Translation: Started her first company in 2012, focusing on machine translation during the era of statistical machine translation.
Transformers and Encoder-Decoders: Her company stumbled upon transformers and started working on encoder-decoders.
Language as Medium for Intelligence: Realized that natural language can be used as a medium for intelligence.
Productizing Technology: Her entrepreneurial life has been about following and productizing on top of the technology.

Immigrant Influence and Risk

Both Lucy and May discussed the influence of their immigrant backgrounds on their entrepreneurial drive. While literature suggests immigrants are often risk-averse, Lucy felt a "go big or go home" mentality. May's parents wanted her to pursue a stable career like pharmacy. Lucy dropped out of college to prove her parents wrong.

Risk Aversion vs. Risk-Taking: Immigrants are often perceived as risk-averse, but both founders had a risk-taking mentality.
Rebellious Drive: Lucy's rebellious nature and desire to prove others wrong fueled her ambition.

Addressing Gender Imbalance in Tech and AI

The discussion highlighted the gender imbalance in tech and AI, with men dominating both the user base and the workforce. May argued that women are well-suited to lead in the new AI-driven era due to their collaborative and creative skills.

Underrepresentation: The vast majority of people using ChatGPT and working in AI are men.
Leadership Qualities: Women possess collaborative and creative skills that are essential for leading in the AI era.
Reorganization of the Enterprise: AI is driving a fundamental reorganization of the enterprise, requiring new leadership approaches.

Strategies for Empowering Women in Tech

Both founders offered strategies for empowering women in tech, including increasing funding for female-led funds and creating new ladders for career advancement in the AI era.

Female Funds: More female funds are emerging as more female founders are exiting.
Angel Investing: Angelus has democratized starting a fund, leading to more LPs investing in female GPs.
Creating New Ladders: It's crucial to create new career paths in the AI era to replace traditional junior jobs.
Equity: Understanding the value of equity is crucial for creators.

The Obsession with Customers

The interviewer noted that both Lucy and May are obsessed with their customers, emphasizing the importance of listening and solving problems.

Equity and Social Impact: May is driven by equity and the desire to address the potential for AI to increase inequity.
Creator Empowerment: Lucy focuses on helping creators build businesses and understand ownership.
AI Agents for Creators: AI agents can help creators automate tasks, negotiate deals, and increase earnings.

Venture Capital and Funding for Female Founders

The discussion addressed the challenges female founders face in securing funding, particularly larger checks.

Higher Standards: Women are often held to higher standards for funding than men.
Importance of Large Checks: Larger checks from LPs into female-led funds are needed to change the situation.
Party Rounds: Raising a large round is possible through party rounds, but female founders need better access to micro funds.
Board Representation: May includes many female observers in board meetings to help them gain experience and advance their careers.

Advice for the Future of Women in Business

The final advice focused on essential skills and attitudes for success in the AI-driven future.

Essential Skills: Taste, judgment, character, collaboration, and creativity are crucial skills.
Embrace AI: Get kids using AI technology as a tool.
Resilience: Suck it up and persevere despite challenges.
Irrefutable Talent: Become irrefutably talented to attract funding and opportunities.

Synthesis/Conclusion

The interview with Lucy Go and May provides valuable insights into their entrepreneurial journeys, the impact of AI on business, and strategies for empowering women in tech. Both founders emphasized the importance of continuous learning, adapting to technological advancements, and addressing the gender imbalance in the industry. Their stories highlight the potential for AI to create new opportunities and the need for proactive measures to ensure equity and inclusion. The key takeaways include the importance of developing essential skills like creativity and collaboration, embracing AI as a tool, and supporting female founders and leaders in the tech ecosystem.