Community Is Capital: 6 Lessons on AI and Venture Capital from Lolita Taub
Written by Jenny Kay Pollock, Co-Founder and Co-CEO of WOMEN x AI (WxAI) and Founder of Luminizing Growth. Through her work with executives, founders, and AI practitioners, she helps organizations navigate AI-driven transformation and adoption.
What happens when AI makes it easier than ever to build a company, but raising venture capital remains harder than ever?
That question was at the center of our November 4 WOMEN x AI fireside chat with Lolita Taub, Founder and General Partner of Ganas Ventures and author of What Actually Matters: Startups, Capital, and the Rules Nobody Taught Us.
With +200 registrations, the virtual event attracted founders, investors, operators, and AI practitioners interested in how artificial intelligence is reshaping the venture landscape, what investors are looking for, and how founders can position themselves for success.
Hosted by WOMEN x AI Co-Founders Jenny Kay Pollock and Reut Lazo, the conversation explored the realities of building a business, accessing capital, and creating relationships that make a difference.
Following the fireside and audience Q&A, attendees continued the discussion in small breakout groups, connecting Lolita's insights to their own experiences.
Here are six lessons from the conversation.
1. Community Is Capital, Especially in an AI-Driven World
One of the most resonant ideas of the evening came early in the discussion.
"Community is capital." — Lolita Taub
As AI makes content, information, and software easier to produce, trust becomes increasingly valuable.
For founders, community can create access to customers, investors, advisors, beta testers, and opportunities that would otherwise be difficult to reach.
Lolita explained how Ganas Ventures uses its network to help portfolio companies connect with potential customers and experienced operators. She also emphasized that relationships work best when people make it easy for one another to contribute.
This idea sparked one of the most interesting breakout discussions of the evening.
Is community simply a pathway to capital, or is it an asset founders can build alongside their products?
One group explored how community creates value for B2B and B2C businesses. The discussion also connected to Chapter 7 of What Actually Matters, which examines how founders, angels, general partners, and limited partners can approach community as infrastructure.
For WOMEN x AI, the conversation reinforced something central to our work: relationships expand what people are able to do next.
2. The Rules of Venture Capital Are Changing
AI is changing startup formation and investment, but it's only one force reshaping the venture ecosystem.
Lolita described several shifts that founders need to understand:
Capital is becoming increasingly concentrated. A small number of major AI companies are attracting an outsized share of venture investment.
Fundraising has become more difficult. Investors are operating in a market where liquidity and returns matter more than they did during periods of abundant capital.
Revenue and fundamentals are receiving greater scrutiny. Founders need credible business models, financial discipline, and a path to sustainable growth.
Investor fit matters. Venture funds operate according to specific investment theses, stages, geographies, and return expectations.
Lolita shared that Ganas Ventures evaluates approximately 7,000 startups annually.
That volume offers important context for founders wondering why a promising business might not receive investment.
Investors are evaluating opportunities relative to their fund's strategy and the other companies they encounter. A rejection does not necessarily mean a company lacks potential. It may just fall outside an investor's thesis.
What founders can do
Before approaching an investor, research their thesis, portfolio, investment stage, and geography.
Ask yourself: Does my company fit what this investor is actually looking for?
Understanding that alignment can make fundraising more focused and productive .
3. Make Yourself Easy to Help
One of the most actionable lessons from Lolita's conversation was simple:
The easier you make it for someone to help you, the more likely they are to follow through.
Lolita explained why vague requests, such as asking to pick someone's brain, can be difficult to act on.
Instead, she encouraged founders to make specific requests and prepare double-opt-in introductions. For example, if you're asking an investor to introduce you to a potential customer, draft a message explaining who you are, why the connection makes sense, and what you're hoping to accomplish.
The investor can then forward your message to gauge interest before connecting you.
This approach respects everyone's time while increasing the likelihood of a meaningful introduction.
Lolita also recommended keeping prospective investors informed through regular updates. An investor who doesn't invest today may become interested later as the company demonstrates progress.
A Lesson We've Heard Before at WOMEN x AI
This advice echoed a session led by Meg McWilliams, COO of Mixies, at our September AI Career Lab.
Meg taught attendees how to increase the likelihood that someone follows through on an introduction by reducing the work required of the person helping.
Her framework encourages people to prepare concise, forwardable emails that include:
Who: Your name, role, and relevant credentials.
Proof: Why the person receiving the introduction might want to meet you.
Context and ask: Why you're requesting this particular introduction and what you hope to accomplish.
The person making the introduction should be able to forward your email without editing it.
It's a lesson that applies whether you're fundraising, looking for a job, developing partnerships, or building your professional network.
Put It Into Practice
Before making your next request, ask yourself: Could someone understand what I need and take action in less than two minutes?
If not, make your request more specific.
4. AI Is Changing Fundraising, but Human Judgment Still Matters
AI is increasingly influencing both sides of the fundraising process.
Founders use it to research investors, develop pitch decks, analyze markets, and prepare for meetings.
Investors use it to evaluate opportunities, process information, and manage portfolios.
But Lolita emphasized that AI introduces risks alongside its efficiencies.
One concern is that automated investment screening can reproduce biases already present in venture capital.
When AI systems learn from historical investment patterns, founders who have traditionally received less funding may encounter those patterns again.
That makes it especially important to understand how AI is being used and where human judgment should remain central.
Lolita shared examples from her own workflows, including using Claude to process portfolio updates, identify requests for assistance, and connect those requests with relevant resources.
She also described using an AI digital twin to help respond to frequently asked questions. You can chat with Lolita's digital twin on SuperMe.AI
At the same time, she emphasized that strategic decisions still require human involvement.
The opportunity is to use AI to improve how we work while remaining thoughtful about what we delegate.
5. In an AI-Native World, What Makes a Startup Defensible?
During the audience Q&A, Savita Kini raised a question many AI founders are confronting:
When models and capabilities evolve so quickly, what constitutes a defensible competitive advantage?
Lolita offered a practical way to evaluate differentiation.
Founders should consider three questions:
Will customers leave an existing solution to use yours?
Are they willing to pay for it?
Can competitors replicate your solution quickly?
These questions matter whether a company builds AI-native technology or uses AI to enhance an existing product.
The conversation also explored other sources of differentiation, including proprietary data, domain expertise, customer relationships, and distribution.
Founders must also consider the economics of building with AI.
Who owns the underlying infrastructure?
What dependencies and liabilities exist?
How do inference costs affect margins?
AI may accelerate product development, but the fundamentals of building a sustainable business still apply.
A Question for Founders
If a competitor could reproduce your AI features tomorrow, why would customers continue choosing you?
The answer may reveal where your strongest competitive advantage actually lies.
6. Founders Should Evaluate Investors, Too
One of the most interesting themes surfaced during the small-group discussions.
Founders are accustomed to preparing for investor scrutiny.
But what happens when they reverse the question?
What value will this investor bring to my business?
Lolita had emphasized this earlier when discussing the value Ganas Ventures aims to provide its portfolio companies beyond a financial investment.
Founders benefit from understanding what kind of partnership they're entering.
An investor may have capital available without being the right partner for a particular company.
From Conversation to Action: Using AI to Prepare for Investor Meetings
During the session, attendees explored how AI can help founders prepare for investor conversations.
The exercise focused on identifying jargon and hype, strengthening the evidence behind a pitch, and practicing more conversational approaches to investor meetings.
Lolita also discussed the importance of providing context when working with AI tools to generate more useful, specific feedback.
For founders interested in exploring additional exercises, What Actually Matters includes AI prompts throughout the book to help readers apply its lessons.
The Conversation Continued in Community
Following the fireside and audience Q&A, participants moved into small breakout groups.
We invited attendees to consider three questions:
What idea from Lolita challenged your thinking?
Where could AI improve or introduce bias into fundraising?
What's one action you'll take?
When everyone returned, the conversations highlighted two particularly powerful ideas.
One group discussed how founders can evaluate potential investors and why revenue has become such an important signal in today's fundraising environment.
Another group explored the meaning of community as capital, asking how relationships and trust create lasting business value.
The discussions reflected the spirit of WOMEN x AI: learning from experts, contributing our own experiences, and helping one another move forward.
We learn more when everyone has an opportunity to contribute.
📖 Go Deeper with What Actually Matters
Interested in understanding the unwritten rules of startups, capital, and venture investing?
In What Actually Matters: Startups, Capital, and the Rules Nobody Taught Us, Lolita Taub shares practical lessons from her experience as a founder, investor, and ecosystem builder.
The book offers guidance for navigating venture capital, building relationships, and making more informed decisions, with exercises to help readers put those lessons into practice.
Available in print and Kindle on Amazon, or as an audiobook on Spotify.
Continue Learning
Whether you joined us live or are exploring the conversation afterward, here are a few resources to continue learning.
Thank you to Lolita Taub for sharing her insights and experience, and to everyone who joined, asked questions, exchanged resources, and contributed to the conversation.
We look forward to continuing to learn, build, and shape what happens next together.
