Welcome back to Elevate Your AIQ, your go-to source for insightful conversations on human-centric AI readiness, responsible innovation, and the future of work.
Today’s distinguished guest is Daniel Sieberg, co-founder and CEO of ScreenGeni.us, a media discovery-as-a-service platform using AI to help people cut through the noise and find content that actually matches what they’re in the mood for, across streaming, books, retail, and beyond.
Daniel and I met recently in NYC as co-panelists for a human-centric AI event, and I was really intrigued by both his background and his new venture, so of course I wanted to get him in the studio.
Daniel’s varied experiences include journalism as a science and technology correspondent at CNN, CBS, and ABC, to product management, spending nearly a decade at Google building the Google News Lab, to now running an early-stage startup that is putting responsible, human-centric AI to work on one of the most relatable problems out there: the paradox of choice on our screens.
We get into how ScreenGeni.us works, why most recommendation engines have underdelivered despite years of data, what it takes to build AI that respects the user rather than manipulates them, and why Daniel sees this moment not as the AI generation, but as Generation Transition.
If you’ve ever stared at a streaming menu for twenty minutes and thought there must be a way for AI to help, or you’re curious about responsible innovation in the media discovery space, this one’s for you.
Here’s a teaser where Daniel talks about our cross-generational responsibility with data and AI and how seriously his team takes this mission (along with an admission that ‘Gen T’ was not his own concept, but he’ll gladly borrow it)…
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Summary
Daniel Sieberg, co-founder and CEO of ScreenGeni.us, joined the show to discuss how his company is building what he calls a universal navigation layer for human curiosity. Coming from over a decade in broadcast journalism followed by six years at Google, Daniel brings a distinctive perspective on how we search, discover, and consume content. ScreenGeni.us started as a B2C streaming guide and pivoted into a B2B discovery-as-a-service platform, helping companies with large digital catalogs, from books and art to retail and food, surface more relevant recommendations through conversational, intent-driven AI. The conversation covers the gap between what recommendation engines promise and what they actually deliver, the importance of building AI responsibly by design, and the concept of “Gen T,” as in “Generation Transition”, as a framework for shared human responsibility in shaping where AI goes next.
Keywords
Daniel Sieberg, ScreenGenius, discovery as a service, recommendation engines, conversational search, semantic tagging, human-centric AI, responsible AI, paradox of choice, content discovery, B2B middleware, personalization, digital catalogs, Gen T, generation transition, Google News Lab, AI hype cycle
Takeaways
ScreenGeni.us pivoted from a consumer streaming guide to a B2B discovery-as-a-service platform after recognizing that its recommendation engine had broader value across verticals including books, art, food, and retail
Most recommendation systems ask users to search like a machine; ScreenGeni.us is building conversational, intent-driven discovery that lets people search more like humans
The paradox of choice is a core design constraint: once options exceed roughly five, human decision-making breaks down, so narrowing a massive catalog to a meaningful few is the real product
Enterprise knowledge workers are a second use case: internal discovery tools to help employees navigate large data archives, not just consumer-facing recommendations
Daniel frames responsible AI not as compliance but as ethos, citing his family history and mission to leave something beneficial to humanity as the throughline behind the company
“Gen T,” generation transition, reframes the AI debate away from generational blame toward shared responsibility for shaping what AI becomes
Quotes
“It feels like a rebellious act to fight for humanity these days.”
“AI is now helping us to search more like a human, which I find fascinating in the discovery evolution of where this is all going.”
“We like to call ourselves the universal navigation layer for human curiosity.”
“Business is trust, money is trust, relationships are trust. You’re going to need to talk to a human being.”
“Gen T is generation transition, and we all have a shared responsibility in thinking that through.”
“I hope that we champion this responsible AI flag for as long as we’re in existence.”
Chapters
00:02 Welcome and introductions
01:01 Daniel’s career arc from journalism to Google to entrepreneurship
04:53 The origins of ScreenGeni.us and the problem of content overload
08:38 From streaming guide to B2B discovery-as-a-service platform
13:02 Competing with Algolia and moving past the AI hype cycle
15:55 Personalization, intent, and the limits of recommendation engines
20:10 The paradox of choice and narrowing massive digital catalogs
24:14 Breaking down silos and building a universal navigation layer
30:33 Respecting human time and the enterprise knowledge worker use case
40:30 Why human relationships still matter more than vibe coding
43:05 Gen T, generation transition, and shared responsibility for AI’s future
46:32 Responsible by design and the ScreenGeni.us mission
Daniel Sieberg: https://www.linkedin.com/in/danielsieberg/
ScreenGenius: screengeni.us
For advisory work and marketing inquiries:
Bob Pulver: https://linkedin.com/in/bobpulver
Elevate Your AIQ: https://elevateyouraiq.com
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