One of the biggest shifts I'm seeing right now is not only how AI is changing work, but how it is changing the way we test ideas.

In the past, if a founder, researcher, product manager, or strategist wanted to validate an idea, the process was slow. Build a hypothesis. Run surveys. Wait for responses. Clean the data. Analyze it. Then maybe discover the question itself was not strong enough.

Now, with GenAI, that whole cycle is being challenged.

And this connects directly with my own work as well. When I work on AI strategy, GenAI maturity, or enterprise adoption roadmaps, the hardest part is often not the technology. The hardest part is asking the right question before building the solution.

That is why today's conversation is important.

Because we are moving from AI as a content generator to AI as a thinking partner.

A system that can help researchers, founders, and teams test assumptions, explore user behavior, and sharpen decisions before spending time and money in the wrong direction.

Today, I'm joined by Sharif Amlani, who brings together political science, research methods, data analysis, and generative AI to build tools for synthetic respondents and AI-powered research analysis.

This is a conversation about research, validation, synthetic data, agents, and what happens when GenAI becomes part of the thinking process itself.

Let's get into it.

Episode # 187

Today's Guest: Sharif Amlani, Founder, HumanAI

Sharif Amlani is the Founder and CEO of HumanAI, a UC Berkeley startup using generative AI to transform how we do research, analyze data, and expand what we know about the world around us.

Website: HumanAI

What Listeners Will Learn:

How GenAI is changing research, surveys, and analysis
What synthetic respondents are and where they can be useful
Why AI-generated responses should support-not replace-real human validation
How founders can test ideas earlier, before spending money on surveys
Why talking to users remains the most important startup habit
How AI agents can support analysis and reporting workflows
Why consistency matters more than intensity when building a startup
How market feedback can reveal a different customer than originally expected

Resources:

HumanAI