Using Gen AI to Analyze the NYC Mayoral Race
This event is hosted by AI NYC (50,000 member community) see https://ainyc.net if you have any questions.
Successful completion of the course will result in a certificate from Chainhaus, an AI school
GenAI & The Mayoral Showdown: Who Will Win NYC 2025?
Adams. Mamdani. Cuomo. Who’s got the momentum, the narrative, the edge?
This isn’t your average civics class. This is NYC politics dissected by generative AI — a fast-moving, no-prerequisite workshop for business professionals who want real-time, intelligent insights into the city’s highest-stakes race. Over 3 hours, we’ll use cutting-edge language models (like GPT-4 and Claude) to analyze campaign messaging, social media strategy, comment sentiment, thematic trends, and public discourse around the mayoral frontrunners.
You'll learn to:
Use LLMs for social listening and surface the dominant emotions, topics, and arguments in user comments across Instagram, TikTok, X (Twitter), and Reddit.
Generate real-time perspectives by prompting LLMs with live campaign material, interview transcripts, and donation data.
Apply prompt engineering and embeddings to compare narrative tone, style, and substance between candidates.
Design persona-based analyses (e.g., what would a Gen Z voter vs. a union worker think of Mamdani’s housing policy or Cuomo’s comeback bid?).
Create custom dashboards and auto-generated bullet-point briefings using natural language queries.
Forget polling averages. This course arms you with the tools to generate bespoke, AI-driven intelligence — on-demand, dynamic, and deeply contextual. If you’ve ever wondered how executives, journalists, and campaign teams are using generative AI behind the scenes, this is your inside look.
Instructor Bio
Professor Jamiel is the founder & CEO of Chainhaus, Digital Currency Think Tank and Modelex.AI companies focused on distributed AI, payments, blockchain, and finance, with releasing products like Yield®, TRUSD, FinPython™ and Disburse® and is contributor at Forbes and TED speaker.
He has spent 20 years on Wall Street working for major banks like JPMorgan, Citi, Lehman Brothers, Bank of America, and Merrill Lynch in equities and fixed income. He is a bestselling author, professor, community builder, board member and event organizer. Jamiel leads AI NYC and Blockchain NYC, a 50K-member community and hosts events like The AI & Finance Conference, Stablecoin NYC, DEFICON, CBDC Summit, DARC and DC Summit and manages media assets like Blockchain101.com and Currency Insider.
Jamiel serves / served as an adjunct professor at Columbia Business School, Sun Yat-sen School of Business Taiwan, NYU, Zicklin Business School, and CUNY SPS teaching graduate courses on blockchain and machine learning and is Innovation Fellow at Columbia Business School’s Lang Center for Entrepreneurship and AI Expert at AI2030.
Additionally, he authored Mastering Corda, published by O’Reilly and is currently writing a book on generative AI and finance for Columbia University Press and a book on stablecoin design.
Jamiel holds an MBA from Columbia Business School, a BBA from Baruch College, and is completing a second Master degree in AI from Georgia Institute of Technology.