Nina Schick is a world-leading authority on artificial intelligence, deepfakes, and the transformation of information ecosystems. A political scientist and strategist by training, she has advised global leaders including President Joe Biden and NATO Secretary General Jens Stoltenberg on disinformation, election security, and emerging technologies.
As the author of Deepfakes: The Coming Infocalypse, Schick was among the first to warn of synthetic media’s potential to disrupt democracy, media, and business. She is also founder of Tamang Ventures, where she helps organizations navigate both the risks and opportunities of generative AI.
Regularly featured on CNN, BBC, Bloomberg, and in The New York Times, Schick translates complex topics into actionable insights. She has spoken at global forums including the World Economic Forum, TEDx, and international cybersecurity summits. Her talks empower leaders to adopt AI responsibly, safeguard trust, and understand how exponential technological change is reshaping societies and markets.
Nina Schick is a globally recognized keynote speaker, author, and leading expert on disinformation, artificial intelligence, and the evolving landscape of global politics. With a keen focus on how emerging technologies are reshaping democracy and international relations, Nina has become a sought-after voice in the intersection of technology, media, and policy. Her insights provide invaluable guidance to policymakers, business leaders, and organizations striving to navigate the rapidly shifting world of AI and geopolitical challenges.
As the digital age continues to accelerate the spread of misinformation and disrupt traditional power structures, Nina offers a unique and critical perspective on how artificial intelligence is influencing political discourse, governance, and the future of global stability. Her ability to dissect complex issues and translate them into actionable insights makes her a compelling and authoritative voice on the most pressing issues of our time.
With over a decade of experience at the forefront of political analysis and emerging technology, Nina Schick has advised world leaders, multinational organizations, and media outlets on the ever-changing impact of artificial intelligence and digital disruption. She has worked extensively on global political strategy, providing expert counsel on election security, disinformation campaigns, and geopolitical risk management.
Nina is the author of the critically acclaimed book Deepfakes: The Coming Infocalypse, which explores the alarming rise of AI-generated misinformation and its implications for democracy. Her research and analysis have been widely featured in major media outlets such as CNN, BBC, The New York Times, and The Guardian, solidifying her status as a trusted authority in the field.
As a prominent voice in the discourse on artificial intelligence, Nina has presented at some of the world’s most influential forums, including the World Economic Forum, TEDx, and international cyber security summits. Her engaging and thought-provoking talks delve into the intersection of technology and politics, equipping audiences with the knowledge and strategies needed to safeguard democratic institutions in an era of rapid digital transformation.
Beyond her thought leadership, Nina Schick is an advocate for ethical AI governance, pushing for responsible development and deployment of artificial intelligence technologies. Her work bridges the gap between technological innovation and policy making, ensuring that AI serves as a tool for progress rather than a weapon for manipulation.
In an age where misinformation and AI-driven disruption pose significant risks to businesses, governments, and societies, Nina Schick provides indispensable insights that empower leaders to make informed decisions. Her experience advising senior policymakers and organizations equips her with a strategic outlook that resonates across industries.
Nina’s engaging stage presence, coupled with her wealth of knowledge, makes her a standout speaker at conferences, corporate events, and leadership summits. Whether discussing the risks of deepfake technology, the role of AI in modern warfare, or the future of global governance, she delivers thought-provoking content that sparks meaningful dialogue and drives impactful change.
Nina Schick is an influential keynote speaker, author, and expert on the intersection of artificial intelligence, disinformation, and global politics. With a deep understanding of how emerging technologies are transforming democracy and international relations, she provides invaluable insights to policymakers, business leaders, and organizations worldwide.
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Nina Schick explains why generative AI will power most digital content, how policy will respond, and what leaders should do now.
In this interview, Nina Schick argues that 2023 marks an inflection point for generative AI. Tools like ChatGPT have captured public attention, but she frames them as early interfaces to a broader wave of models that can generate text, images, audio, and video. She expects valuations across the space to rise and new applications to become universal across industries.
Nina revisits a prediction that AI will generate the majority of online content and now moves the timeline forward. Given exponential progress, she believes the internet could reach about 90 percent AI generated content much sooner than 2030. That reality will force rapid responses from educators, enterprises, and policymakers.
Regulation will lag innovation, so she expects 2023 and beyond to bring a more serious policy conversation. Key questions include how to govern foundational models, whether open source development should remain accessible, and how to balance augmentation of human work with fears of automation. She anticipates the European Union to take early steps through comprehensive AI regulation.
On education and copyright, Nina notes that plagiarism concerns are already visible, as students test ChatGPT for essays. In creative domains, training sets and the ability to imitate artist styles raise consent and compensation issues. She stresses that these systems are tools, yet their capabilities will evolve quickly, making today’s interfaces seem quaint by year end.
Competition will intensify. Big tech firms have data, talent, and research pipelines to launch their own generative tools, while partnerships and investments with newer players will continue. Microsoft’s stake in OpenAI is one signal, but she expects Google and others to unveil significant products. The strategic questions for leaders are where to adopt, how to govern, and how to prepare for content, search, and workflow changes.
Her bottom line: treat generative AI as a new communications infrastructure. Plan for rapid capability gains, build governance around IP and safety, and focus on human augmentation to unlock value while addressing legitimate risks.
00:00 – Why ChatGPT is a gateway to a broader generative AI wave
01:10 – Most digital content will be AI generated sooner than expected
02:20 – Policy response begins to take shape and will lag innovation
03:20 – Open source vs proprietary models and control of foundation models
04:25 – Education, plagiarism, and copyright concerns
05:35 – Acceleration ahead makes current tools look quaint
06:20 – Big tech and new entrants prepare competing product plays
07:20 – Action items for leaders on adoption and governance
Nina Schick hosts Dan Li to unpack how generative AI will dominate digital content and why provenance and personal style engines will define the next era.
Nina Schick opens by framing generative AI as a tipping point for human creativity and the digital ecosystem. She defines generative AI as systems that autonomously create text, images, audio, and video, and updates a bold prediction: by 2025, the majority of digital content online could be AI generated. That scale forces new thinking on policy, authenticity, and business models.
Guest Dan Li recounts building earlier AI companies and noticing cultural moments that signaled a shift, like viral synthetic music. He highlights the explosion of developers and users building with open tools and argues that creation barriers have collapsed. Li introduces Vermilio, a platform that combines generative models with blockchain to record authorship and lineage for every synthetic output. The goal is to authenticate origin, track derivatives, and enable creators to benefit as their work inspires new works.
Central to Vermilio is the idea of a personal style engine. Instead of platforms owning aesthetics, individuals define and own their creative style, then generate original outputs with simple prompts. Nina probes artist concerns about imitation and IP. Li responds that provenance and transparent attribution are the foundation for ethical participation and healthy creator economies. With verifiable lineage, artists can engage fans, license styles, and share in downstream value.
They preview Vermilio’s launch styles, from action figures to vintage comics and digital goods like sneakers, connecting this to a fast-growing market for virtual merchandise. Li expects text-to-video capabilities to follow quickly, pushing premium content creation to billions with smartphones. Both emphasize urgency. Without open, portable provenance, closed platforms or states could centralize control of generative engines. An open verification layer enables interoperability, user ownership, and trust across ecosystems.
The conversation closes on use cases for brands and institutions: disclose synthetic media, adopt provenance standards, pilot creator tools with consentful datasets, and design policies that prefer augmentation and inclusion over exclusion.
00:00 – Opening context and why generative AI is a human-scale inflection point
01:05 – Definition of generative AI across text, image, audio, video
02:10 – Updated forecast: most online content AI generated by 2025
03:20 – Dan Li’s entry into the space and signals from synthetic culture
05:15 – Scale of developer and user adoption, barriers to creation collapse
06:40 – Introducing Vermilio: provenance, authorship, and derivative lineage
08:20 – Personal style engines and user-owned aesthetics
10:05 – Artist concerns, IP, and transparent attribution
12:00 – Launch styles, digital goods, and the virtual merchandise boom
13:30 – Roadmap to text-to-video and premium creation on smartphones
15:00 – Why open provenance matters for interoperability and trust
16:20 – Action steps for brands, educators, and policy teams to adopt responsibly
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