It May Be Too Late: AI has Changed Hollywood Forever ... and Now it is Coming for the Creator Economy
Xavier Kochhar
CEO, XKE Founder, The Video Genome Project (Hulu)
Hernan Lopez
Founder, Owl & Company Founder, Wondery (Amazon)
Adrienne Lahens
Co-Founder and CEO at Infinite Studios
Eric Shamlin
Governor, Academy of Television Arts & Science Founder, Firebringer AI
Suhaib Rangoonwala
Partner, Media & Entertainment at Altman Solon
Hollywood is not just being disrupted, it's being rewritten … by code. Artificial Intelligence has already changed how stories are conceived, cast, produced, distributed, and monetized, detonating the old order in just a few short years. The same algorithms that predict audience hits, greenlight films, and design characters are now generating the content themselves. Faster. Cheaper. And in some cases, better. And the result is a seismic power shift shaking every corner of the entertainment industry, from studio lots to talent agencies to the streaming giants.
And now AI is coming in full force for the very revolutionaries that disrupted Hollywood over the last decade: the Creator Economy. Now these creators are being challenged by anyone with an idea, vision, or even just an ounce of creativity, who can use a few prompts to become a studio, a star, or an entire franchise.
This year's Data Con Keynote Panel brings together the executives, innovators, and investors who are defining the next era of entertainment to discuss how the media and entertainment ecosystems are changing and answer some of the most important questions of this moment: What happens when the machines don't just assist creativity, they originate it? Who owns IP in this age of algorithms? Can human storytelling compete with infinite machine imagination? Where will the next billion-dollar franchise come from? Is AI devaluing entertainment content to an infinite commodity or is it making it more valuable than ever? Are there any remaining arbitrage opportunities for investors? Where is there career upside for the data community and which jobs may not exist soon? And most importantly, how can you benefit from all this disruption?