AI in NYC Show

Guy Mounier is a four-time founder, investor, and the CEO of Boon AI.In this episode of AI in NYC, we explore one of the biggest questions facing technology today: how do we build trust in an AI-powered world?Our conversation spans entrepreneurship, AI, business, society, and the ideas behind Guy's newest initiative, The Trust Era Project. We discuss how AI is changing the way organizations make decisions, the opportunities and challenges ahead, and why trust may become one of the most important currencies of the next decade.Learn more:boon.aitrusteraproject.orgSubscribe for more conversations with the founders, researchers, investors, and builders shaping the future of artificial intelligence.#AI #ArtificialIntelligence #Startups #Entrepreneurship #FutureOfWork #Trust #TechnologyConnect with Guy: https://www.linkedin.com/in/guymounier/

Dr. Taniya Mishra shares her remarkable journey from early machine learning research and accessibility-focused AI projects to building SureStart, a company dedicated to bringing AI fluency to students around the world. Together, they explore what it means to prepare the next generation for an AI-driven future—and why responsible AI, mentorship, creativity, and critical thinking matter more than ever.The discussion covers the evolving workforce, the impact of AI on entry-level jobs, the importance of ethics in technology education, and whether today's race toward advanced AI is overlooking the human element. They also examine how AI can be used to empower people, foster innovation, and create opportunities rather than simply automate work.Check out SureStart: thttps://mysurestart.com/Subscribe to AI IN NYC newsletter: https://magic.beehiiv.com/v1/c2777e42... Join the community: https://aiinnycshow.com/

In this episode of AI in NYC, Rob and Ryan are joined by Hilary Mason for a wide-ranging conversation on the evolution of AI in New York — from the early data science era to today’s generative AI landscape.The discussion dives into the early days of data science in New York, the rise of AGI hype in Silicon Valley, and why practical AI product design may matter more than chasing artificial general intelligence. The episode also explores the growing importance of small language models, harness engineering, and building AI systems that are actually useful for people instead of relying on chatbot-first experiences.The second half of the episode focuses on the future of AI-powered storytelling and interactive entertainment. The conversation breaks down how immersive narrative engines could allow users to create characters, shape evolving storylines, and participate inside fictional worlds in entirely new ways. Rather than replacing creators, these AI tools are positioned as creative amplifiers designed to help writers, gamers, and storytellers unlock richer and more meaningful experiences.Check out Hidden Door: https://www.hiddendoor.co/Subscribe to AI IN NYC newsletter: https://magic.beehiiv.com/v1/c2777e42-a25b-4683-bc3e-e47a10dbc291Check out our website & send us guests / promote your company on our channel: https://aiinnycshow.com/Thank you to our sponsor: https://www.bepresentapp.com/

In this episode of AI in NYC, hosts Rob May (Co-Founder & CEO, Neurometric) and Ryan Eppley (Co-Founder & CEO, RootAccess) go deep on the biggest AI hardware and infrastructure stories of the week — no guest needed, just two hardware-obsessed founders breaking it all down.First up: the Cerebras IPO. Rob and Ryan give a technical but accessible breakdown of what makes the Cerebras wafer-scale chip so different — from its distributed SRAM architecture that eliminates the classic Von Neumann bottleneck, to the sheer audacity of using an entire silicon wafer as a single chip. They discuss why inference workloads are fragmenting beyond GPUs, what the Groq acquisition by Nvidia signals about the market, and whether Cerebras' $50B+ market cap at 100x revenue is justified or dangerously frothy. If you've been wondering whether to invest or just want to understand the AI chip landscape beyond Nvidia, this is a must-listen.Then the conversation shifts to a Washington Post survey finding that 71% of Americans oppose data centers being built in their communities. Rob and Ryan question the methodology, debate whether this NIMBY backlash is rational, and explore what it means for the future of AI infrastructure. Plus: quick updates on the show's growth, the new job board, sponsor transitions, and more topics they planned to cover including dead internet theory, celebrity AI trademarks, and the viral UCF graduation AI backlash. Subscribe to the newsletter and check out the AI in NYC job board at our website! https://magic.beehiiv.com/v1/c2777e42-a25b-4683-bc3e-e47a10dbc291https://aiinnycshow.com/

In Episode 23 of AI in NYC, hosts Rob May, Anna Kirk, and Ryan Eppley sit down with Gabi Steele, co-founder and CEO of Preql AI, to tackle one of the most overlooked problems in the AI gold rush: your data foundation is probably broken, and that's why your AI agents aren't working. Gabi brings a unique perspective — she went from building data visualizations at the Washington Post during Trump's first term to teaching at Columbia and Parsons, then dove deep into data engineering after watching her co-founder's experience at WeWork, where a 100-person data engineering team still couldn't wrangle the company's spiraling data infrastructure.The episode kicks off with a deep dive into the bombshell WSJ report that OpenAI is missing key revenue and user targets ahead of its IPO. The panel debates whether this signals a real inflection point for the AI industry or just healthy competitive pressure from open-source models, DeepSeek, and a rapidly shifting market where agentic coding has overtaken conversational search as the killer app. Gabi weighs in with a grounded take from the data trenches — she talks to CFOs every day who tell her LLMs are too slow and they still want dashboards, revealing a massive gap between AI hype and enterprise reality.The conversation evolves into a fascinating discussion about what interfaces should look like in an agent-first world. Rob shares his love for the physical Wall Street Journal, the group debates tactile vs. digital experiences, and Ryan introduces the concept of "Harness Experience" — designing not for users, but for agents. Gabi's core message resonates throughout: companies are rushing to deploy AI and automation but skipping the critical data layer that makes any of it actually work. If you're building with AI, buying AI tools, or leading a data team, this episode is essential listening.Preql AI is building the infrastructure layer that reconciles and contextualizes enterprise data from across all your systems so AI agents can actually function. Currently focused on CFO buyers, Preql launched its agent-first product in July 2025. Learn more about Preql and connect with Gabi on LinkedIn.