The Media Copilot

The Media Copilot

Hosted by journalist Pete Pachal, The Media Copilot is a weekly conversation with smart people on how AI is changing media, journalism, and the news.

  1. 3d ago

    Tech companies are becoming Media companies. What happens next?

    As AI transforms how people discover information, the relationship between technology, media, and audience trust is evolving rapidly. This episode is sponsored by: Adobe Acrobat What happens when technology companies stop advertising in media and start owning it? In this episode of The Media Copilot podcast, host Pete Pachal speaks with Jonathan Hunt, VP of Media & Content at HubSpot and Head of The Hustle, about the growing convergence of technology, media, and audience ownership. As AI transforms how people discover information, search for answers, and build trust online, companies are rethinking their relationship with media. HubSpot has quietly assembled one of the most ambitious media portfolios in business, spanning newsletters, podcasts, YouTube channels, creator partnerships, and acquisitions including The Hustle, Mindstream, Starter Story, and Futurepedia. Their conversation explores why audience ownership has become increasingly valuable in an AI-driven world, how brands are adapting to changing discovery patterns, and why trusted human voices may be more important than ever as generative AI floods the internet with content. Sponsor: The new Adobe productivity agent orchestrates tools and models to generate images, text and rich content like presentations, podcasts and social posts, while also powering conversational PDF editing in Acrobat. With new PDF Spaces capabilities, users can combine files, links and notes into interactive, shareable spaces for research, collaboration and content creation. VICE News, Kid Cudi and celebrity event planner Mindy Weiss are already using these tools to build trust and deeper engagement with their audiences. Link: Do that with Acrobat: AI-Powered PDF workspaces | Adobe Acrobat Why this mattersThe rise of AI is changing how audiences find information. Traditional search is giving way to AI-powered discovery, and companies are increasingly looking beyond advertising to build direct relationships with audiences. As content becomes easier to produce, trust becomes more valuable. Organizations that own audiences, cultivate expertise, and build authentic relationships may be better positioned to compete in an environment where AI-generated content is abundant but human credibility remains scarce. The discussion highlights a broader shift taking place across media and marketing: the growing realization that audience ownership may be just as important as product ownership. What we cover • Why AI may increase the value of human-created content rather than diminish it • How HubSpot built a media network through acquisitions, launches, and creator partnerships • The strategic thinking behind acquiring brands like The Hustle, Mindstream, and Starter Story • Why audience ownership matters more than ever in a fragmented media environment • How AI-powered discovery is changing traffic, engagement, and customer acquisition • What Answer Engine Optimization (AEO) means for publishers and marketers • Why visitors arriving from ChatGPT and other AI tools often convert at higher rates • The growing influence of YouTube, LinkedIn, Reddit, and creator-driven media on AI search results • OpenAI's acquisition of TBPN and what it could signal about the future of technology-owned media • How HubSpot balances editorial independence with corporate ownership • The role of AI in content creation, production workflows, and operational efficiency • Whether concerns about a "SaaS apocalypse" are reality or industry hype • Why authentic creator partnerships outperform traditional influencer marketing About the 👤 Guest   LinkedIn:   https://www.linkedin.com/in/jonathanwhunt  HubSpot Author Profile: https://blog.hubspot.com/marketing/author/jonathan-hunt  About the show: To explore more conversations like this and see what’s new, visit the Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube? Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit mediacopilot.ai.Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0All rights reserved. © AnyWho Media 2026

    38 min
  2. Jun 4

    Local news, AI, and the fight for accountability

    How veteran editor Rick Hirsch sees AI helping journalists do more with less, while protecting the trust that investigative reporting depends on.This episode is sponsored by: Adobe Acrobat What happens when artificial intelligence meets one of journalism's most important missions: holding power accountable? In this episode of The Media Copilot podcast, host Pete Pachal speaks with Rick Hirsch, director of the Collier Prize for State Government Accountability at the University of Florida and former Managing Editor of the Miami Herald. After more than four decades in journalism, Hirsch has witnessed nearly every major transformation in the media industry, from the rise of the internet and social media to today's AI revolution. Their conversation explores how AI is changing investigative and accountability journalism, not as a replacement for reporters, but as a powerful tool for uncovering stories, analyzing massive datasets, and helping newsrooms stretch increasingly limited resources."I think that's what motivates most people who do this work. We have the ability to highlight wrongs and give people the information to try to right them." — Rick Hirsch Hirsch shares insights from a recent survey of journalists, discusses emerging AI-driven accountability tools being used by organizations like CalMatters, and explains why local government reporting may be one of the areas where AI can make the biggest positive impact. At the same time, the conversation tackles difficult questions about trust, misinformation, newsroom economics, audience fragmentation, and whether journalism can sustain itself in an AI-mediated information ecosystem. Why this matters While much of the AI conversation in media focuses on content generation, traffic disruption, and business models, accountability journalism presents a different challenge. Investigative reporting relies on verification, judgment, sourcing, and public trust. AI can accelerate research and surface patterns that humans might miss, but it cannot replace the reporting instincts, ethical decision-making, and community engagement that make journalism valuable. As local newsrooms continue to shrink and public trust remains under pressure, the future of accountability reporting may depend on how effectively journalists learn to use AI without sacrificing the standards that define their work. Sponsor: The new Adobe productivity agent orchestrates tools and models to generate images, text and rich content like presentations, podcasts and social posts, while also powering conversational PDF editing in Acrobat. With new PDF Spaces capabilities, users can combine files, links and notes into interactive, shareable spaces for research, collaboration and content creation. VICE News, Kid Cudi and celebrity event planner Mindy Weiss are already using these tools to build trust and deeper engagement with their audiences. Link: Do that with Acrobat: AI-Powered PDF workspaces | Adobe Acrobat Key takeaways AI is a reporting assistant, not a replacement For accountability journalism, AI's greatest value lies in helping reporters process information faster, identify patterns, and uncover potential leads. Human verification and editorial judgment remain essential. Local journalism may benefit the most As newsroom resources continue to decline, AI tools can help journalists monitor government meetings, legislative activity, and public records that would otherwise go uncovered. Trust remains journalism's biggest challengeTechnology alone cannot solve declining public trust. Transparency, documentation, and showing audiences how reporting is done may become even more important in the AI era. The business model remains uncertainThe industry continues to grapple with how journalism will be funded as AI increasingly becomes an intermediary between audiences and information. Accountability reporting still mattersDespite economic pressures and technological disruption, journalists remain motivated by the ability to expose wrongdoing, inform communities, and create meaningful change through their reporting. About the 👤 Guest  Rick Hirsch is Director of the Collier Prize for State Government Accountability at the University of Florida and former Managing Editor of the Miami Herald, where he spent more than four decades as a reporter, editor, and newsroom leader. LinkedIn  https://www.linkedin.com/in/rick-hirsch-miami/  University of Florida Profile  https://www.jou.ufl.edu/staff/rick-hirsch/Collier Prize for State Government Accountability https://www.collierprize.org/  About the show: To explore more conversations like this and see what’s new, visit the Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube? Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit mediacopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team  Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0All rights reserved. © AnyWho Media 2026

    38 min
  3. May 28

    The Scraper Economy is already here. Publishers just aren’t getting paid.

    As AI systems increasingly rely on publisher content to answer questions, a new marketplace for information has quietly emerged. The problem? Publishers are barely part of it. This episode is sponsored by: Adobe Acrobat On this episode of The Media Copilot podcast, host Pete Pachal sits down with Jonathan Woahn to zero in on a part of the AI content ecosystem that’s just out of sight. The conversation explores the fast-growing “scraper economy,” where data brokers, indexing companies, and AI infrastructure providers are quietly monetizing access to the web at massive scale while traditional publishers struggle to establish sustainable licensing models. With this gray market of internet data growing, how can publishers both protect their content and take advantage of the now billion-dollar demand for it? Pete and Jonathan also explore: • Why the social contract between Google and publishers has fundamentally changed • The rise of ethically sourced data and whether AI companies will eventually care where content comes from • Why inference markets may become far more valuable than model training • How publishers should think about MCPs, AI infrastructure, and product strategy • Whether a legitimate marketplace for AI content licensing can actually emerge before scraper economics dominate the ecosystem Along the way, Jonathan shares how his company, Cashmere, is helping publishers structure, license, and deploy content for AI systems while quietly brokering relationships between content owners and companies looking for legal, high quality access to trusted information. Why this matters: As generative AI continues reshaping how audiences consume information, the future of publishing may depend on whether media companies can establish sustainable economic models around their content before gray-market scraping ecosystems become the default infrastructure layer of the internet. This conversation goes beyond AI hype and digs into the economics, legal gray areas, and technical realities quietly redefining the relationship between publishers, platforms, and information itself. About the 👤 Guest   Linkedin: https://www.linkedin.com/in/jonathanwoahn/  Website: https://cashmere.io/  Company Linkedin:  https://www.linkedin.com/company/cashmereio  Manifesto:  https://cashmere.io/manifesto  Sponsor: The new Adobe productivity agent orchestrates tools and models to generate images, text and rich content like presentations, podcasts and social posts, while also powering conversational PDF editing in Acrobat. With new PDF Spaces capabilities, users can combine files, links and notes into interactive, shareable spaces for research, collaboration and content creation. VICE News, Kid Cudi and celebrity event planner Mindy Weiss are already using these tools to build trust and deeper engagement with their audiences. Link: Do that with Acrobat: AI-Powered PDF workspaces | Adobe Acrobat About the show: To explore more conversations like this and see what’s new, visit the Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube? Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit mediacopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team  Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0 All rights reserved. © AnyWho Media 2026

    43 min
  4. May 14

    AI won’t save Local News. But it might reinvent it.

    Local journalism is collapsing under old business models. The next version may be more dependent on AI than most newsrooms are ready to admit. By The Copilot Can AI help rebuild local journalism before the economics of the industry completely break? Axios does.  On this episode of The Media Copilot podcast, Pete Pachal speaks to Allison Murphy, COO of Axios, to explore how Axios Local is experimenting with AI-driven newsroom operations, “hyperlocal” expansion, and lean reporting teams designed to scale across hundreds of communities. The needle to thread: how to produce high-quality local journalism without sacrificing editorial standards. From AI-assisted social publishing and newsroom training to experimental tools like the “Axiomizer” and “Localizer,” the conversation goes beyond vague AI hype and into the real mechanics of how modern media organizations are adapting in real time. Murphy also explores newsroom trust, AI transparency, audience skepticism, regional expansion strategy, and the growing financial pressure forcing publishers to rethink how journalism can remain sustainable in the modern media economy. “The fundamental challenge with local journalism now is a financial one. We are looking at how we can bring the cost of delivering really high quality, originally reported journalism and news and information to many, many communities.” Murphy argues that the future of local news depends on finding the right balance between human expertise and technological efficiency before the economics of the industry become impossible to sustain. What We Cover:  • Why Axios sees AI as essential to saving local journalism economics • How one reporter and “half reporter” cities are changing newsroom models • The role of AI in reporting workflows, editing, planning, and social distribution • Why Axios believes human reporters remain core to its journalism • The rise of AI-enabled newsroom operations and internal employee training • What media companies still misunderstand about AI adoption • Reader trust, transparency, and AI disclosure experiments • The future of audience growth and media discovery in an AI ecosystem • Why local journalism may become more scalable than ever before Why this matters: Most conversations about AI in the media stay theoretical. This one gets operational. Axios is actively testing what an AI-enabled newsroom looks like at scale—not in a lab, but across real communities with real reporters and real business pressures. As local journalism continues to shrink nationwide, the stakes are bigger than newsroom efficiency. They’re about whether sustainable local reporting can exist at all in the next decade. For anyone working in journalism, media strategy, publishing, audience growth, or AI product development, this episode offers one of the clearest looks yet at how a modern newsroom is trying to adapt before the industry’s financial realities force even harder choices. About the 👤 Guest   • LinkedIn: https://www.linkedin.com/in/allisonmmurphy  • Axios official site: https://www.axios.com  About the show: To explore more conversations like this and see what’s new, visit the Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube? Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit mediacopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team  Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0 All rights reserved. © AnyWho Media 2026

    47 min
  5. Apr 24

    How AI is changing B2B media

    In a world of fewer clicks and higher stakes, B2B media is being rebuilt around outcomes, not impressions. The media industry has spent years optimizing for clicks, traffic, and scale. But in B2B, the stakes are different. A single decision can involve millions of dollars and require input from 5 to 15 stakeholders. That changes everything about how content is created, distributed, and measured. At the same time, AI is reshaping how audiences discover information. Fewer clicks. More summaries. More intermediaries. Which means fewer chances to capture attention, but higher stakes when you do. That’s the shift happening in media that’s beneath the surface of headlines about lawsuits and AI slop. In this episode of The Media Copilot podcast, host Pete Pachal talks with Keith Turco, CEO of Madison Logic, to unpack the shift to better understand how AI is changing not just media, but B2B publishers. The result is a fundamental shift:  Quality over quantity. Precision over reach. Outcomes over impressions. For publishers, marketers, and media operators, this is not just a trend. It is a structural change in how value is created. What we cover Why B2B media is moving from impressions to performance-driven outcomesThe rise of buying groups and how they reshape content strategyWhat “geek chic” means and why measurement is now the differentiatorHow AI acts as a “refiner,” not a replacement, in marketing workflowsThe shift from one-to-many messaging to one-to-one and one-to-few targetingWhy podcasts and audio are becoming critical in the B2B media mixHow the “at-work state of mind” blurs personal and professional media consumptionWhat publishers are still getting wrong about ROI and measurementWhy niche, high-intent audiences are more valuable than everThe growing role of multi-channel strategies across CTV, social, and audio About the 👤 Guest   https://www.linkedin.com/in/keithturco/  Learn more about Madison Logic: 🌐 https://www.madisonlogic.com/ 🔗 https://www.linkedin.com/company/madison-logic/ 🐦 https://twitter.com/MadisonLogic  About the show: To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit MediaCopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team  Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0 All rights reserved. © AnyWho Media 2026

    34 min
  6. Apr 8

    The Real Battle in AI Isn’t Capability. It’s Trust.

    Why the future of generative media may hinge on who owns the data and who gets paid for it. Generative AI can now create high-quality images and videos in seconds. But as the technology accelerates, a more fundamental question is emerging: Can AI-generated media ever be trusted at scale? In this episode of The Media Copilot, Pete Pachal speaks with Dr. Yair Adato, founder and CEO of Bria, about a growing divide in the AI ecosystem. On one side are models trained on vast, scraped datasets. On the other are systems built around licensed data, attribution, and control. At stake is not just quality, but ownership, accountability, and the future economics of creativity. Why This Matters The generative AI boom has largely focused on what these models can do. Less attention has been paid to how they are built and who benefits. As brands, media companies, and enterprises begin to integrate AI into real workflows, concerns around copyright, likeness rights, deepfakes, and data ownership are no longer theoretical. They are operational risks. This conversation reframes the debate: The future of AI may depend less on better models and more on building systems that businesses can actually trust. What We Cover  • Why “brand-safe” AI is becoming a business requirement, not a feature • The case for licensed data and a new attribution-driven data economy • How generative AI could reshape ownership and compensation for creators • Why visual AI presents higher stakes than text models • The limits of current models and the push toward greater control and transparency • How enterprises are integrating AI into real production workflows • The tension between automation and creativity in media and storytelling • Why AI will handle the “average” and humans will still define what is exceptional Notable Insight “This is by far the most advanced technology humanity has created,” says Dr.  Adato. “…and it took six years, not fifty.” About the 👤 Guest   LinkedIn:  linkedin.com/in/yair-adato-4936b236  Americans for Ben-Gurion University feature https://americansforbgu.org/generative-ai/ Bria (official site) https://bria.ai Bria AI LinkedIn: https://www.linkedin.com/company/briaai  Bria AI Instagram: https://www.instagram.com/bria.ai Bria AI Facebook: https://www.facebook.com/BriaAI About the show: To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit MediaCopilot.ai.Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0All rights reserved. © AnyWho Media 2026

    37 min
  7. Mar 26

    Can You Certify Good AI use? This Organization Thinks So

    As AI reshapes journalism and media, Richard Murphy of the Alliance for Audited Media explains why the industry needs actual standards. AI is no longer experimental in media. It is operational. From drafting articles to generating images to influencing distribution, artificial intelligence is now embedded across the entire content pipeline in many organizations. But as adoption accelerates, trust is breaking down just as fast. In this episode of The Media Copilot, Pete Pachal talks with Richard Murphy, CEO of the Alliance for Audited Media, to unpack a growing industry response: ethical AI certification. Murphy explains how publishers, advertisers, and audiences are all asking the same question in different ways:  How do we know what is real, who created it, and whether we can trust it? The answer, at least in part, may lie in standards. Drawing from AAM’s newly developed framework, Murphy walks through the pillars of responsible AI use, from transparency and disclosure to human oversight and data protection. The goal is not to slow innovation, but to create guardrails that keep media credible in an era where AI can generate anything. Why This Matters Media has always relied on trust as its currency. AI is testing that foundation. When audiences cannot tell whether content is human-created, AI-assisted, or fully synthetic, credibility becomes fragile. At the same time, advertisers and partners are demanding proof that what they are funding or distributing meets ethical standards. This is where certification enters the picture. Ethical AI frameworks are quickly becoming more than best practice. They are positioning themselves as a competitive advantage, a compliance strategy, and potentially a defense against future regulation. The bigger shift is this: AI is not just changing how content is created.  It is redefining what accountability looks like in media. What we cover What “ethical AI certification” actually means in practiceThe 8 pillars of responsible AI use in media organizationsWhy disclosure is moving from optional to essentialThe difference between AI-assisted vs fully AI-generated contentWhere most trust failures are happening todayWhy self-regulation may be the industry’s best shot before government interventionHow AI is impacting not just content creation, but distribution and business modelsThe growing role of advertisers, partners, and audiences in demanding transparency About the 👤 Guest   LinkedIn (Personal Profile):  https://www.linkedin.com/in/rmurphy01 AAM Leadership Bio: https://auditedmedia.com/about/leadership Alliance for Audited Media): https://auditedmedia.com Digital Content Next (Articles): https://digitalcontentnext.org/blog/author/richmurphy/ About the show: To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit MediaCopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team . Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0 All rights reserved. © AnyWho Media 2026

    46 min
  8. Mar 19

    When AI changes discovery, who still gets paid?

    AI is reshaping how people search, shop, and consume information and that shift is starting to challenge the business models that have supported media for decades. In this episode of The Media Copilot, host Pete Pachal sits down with Colin Jeavons, Founder and Chairman of Nomix Group, to explore what happens when AI becomes the middle layer between publishers and their audiences. From the collapse of traditional ad economics to the rising value of trust, this conversation breaks down how discovery is evolving, why some publishers may struggle to adapt, and where new opportunities are emerging across commerce, subscriptions, and AI-driven experiences. What we cover • How AI is changing search, discovery, and media economics • Why CPM-based advertising is under pressure • The growing importance of trust in content • The future of subscriptions and micropayments • How commerce and AI shopping may evolve • What publishers need to rethink right now Takeaways The old web rewarded volume. The next era may reward credibility. In Jeavons’ view, AI is speeding up a market correction that was already underway. Publishers built around commodity content and low value ad impressions face increasing risk. But organizations that create trusted reporting, specialized expertise, or high intent commerce content may still have a path forward. The future, he suggests, will not be defined by whether AI destroys publishing. It will be defined by which publishers learn how to operate in a world where attention is filtered through intelligent systems, trust carries a premium, and audiences are willing to pay for what feels indispensable. About the 👤 Guest   🔗 Colin Jeavons  LinkedIn: https://www.linkedin.com/in/colinjeavons/ 🔗 Nomix Group Website: https://nomix.group LinkedIn: https://www.linkedin.com/company/nomix-group/ About the show: To explore more conversations like this and see what’s new, visit the freshly updated Media Copilot website at mediacopilot.ai. You’ll find new episodes, expanded resources, and tools designed for journalists, communicators, and media leaders navigating the fast-changing world of AI. It’s the home base for everything Media Copilot and it’s just getting started. Enjoyed this episode? Subscribe to The Media Copilot on Substack, Apple Podcasts, Spotify, or your favorite app. On YouTube?  Tap the Like button and Subscribe to the YouTube channel. For more AI tools and resources built for media professionals, visit MediaCopilot.ai. Produced by Pete Pachal and Executive Producer Michele MussoEdited by the Musso Media Team  Music: “Favorite” by Alexander Nakarada, licensed under CC BY 4.0 All rights reserved. © AnyWho Media 2026

    50 min

Ratings & Reviews

5
out of 5
6 Ratings

About

Hosted by journalist Pete Pachal, The Media Copilot is a weekly conversation with smart people on how AI is changing media, journalism, and the news.

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