The Media Odyssey
The Media Odyssey

H1 2026 PART 1: BUBBLES, BALLS, & BIG AGGREGATION

23 July 2026 32:43 Evan Shapiro & Marion Ranchet

Listen to episode

About this episode

AI infrastructure is now two-thirds of US GDP with 90% of companies investing in it reporting almost no ROI, and the media industry is frozen in place waiting for a merger that may never close. Happy H1.


This is the Season 2 finale of the Media Odyssey Podcast (split across two parts) with a deep dive into H1 2026. Evan and Marion zoom out on the biggest trends of the year so far they haven’t covered yet: the AI investment bubble, the creator economy's growing pains, the state of kids' content, and the measurement crisis at the heart of the streaming and social media landscape. It's one of their most data-rich, openly argumentative episodes of the season. Part 1 covers the macro forces reshaping media and the creator economy. 


Key Takeaways:


1. The AI Bubble

AI infrastructure investment in the US has reached two-thirds of GDP, driven almost entirely by demand from two unprofitable companies: OpenAI (which lost $38 billion last year) and Anthropic. SpaceX's post-IPO valuation dropped 34%, and a subsequent $25 billion bond offering collapsed shortly after launch. 90% of companies that have made significant AI investments report negligible productivity gains, with costs far outweighing benefits. A correction is coming in the next six months, and it will ripple through the entire media industry.


2. Creators vs. Brands: A Broken Partnership

Creators were the dominant conversation at Cannes Lions. Unilever even committed to having a creator in every zip code. But the economics remain broken: brands consistently undervalue and underpay creators, creator posts are declining in efficacy, and agencies are buying creator platforms (Whalar, Influential) without truly understanding how to use them. 


The emerging model to watch: brands acting like creators like the Kit Kat Heist and companies hiring creators in-house rather than as contractors.


3. Kids' Content: Despair With Green Shoots

Streamer commissions for kids' content are down significantly from their peak, YouTube has gutted the economics of kids' content monetization due to regulatory fears, and public broadcasters now fund over 50% of kids' content worldwide. But bright spots are emerging: ToonStar just signed with Fox; Disney partnered with Lumi/Animage on a new JV; and Super Awesome has been handed advertising rights for the under-13 segment on Roblox. BBC Studios' Bluey model (owned IP, fandom-first, multi-platform) remains the clearest template.

Interested in sponsorship? https://forms.gle/2LCWfX2HBNT8mtpx8  


Connect with us on Linkedin:

Evan Shapiro - https://www.linkedin.com/in/eshap-media-cartographer/  

Marion Ranchet - https://www.linkedin.com/in/marionranchet/  

The Media Odyssey Podcast - https://www.linkedin.com/company/the-media-odyssey-podcast    

  • (00:00) - Welcome and H1 Trends Setup
  • (02:21) - AI Bubble Warning
  • (05:48) - Media Deals Fallout
  • (09:13) - Europe and AI Power
  • (13:12) - GenAI SEO Shift
  • (15:42) - Attribution and Hiring
  • (18:19) - IBC Live Show Plug
  • (20:31) - Creators Take Over
  • (26:11) - Kids Media Crossroads
  • (28:18) - Streamers vs YouTube
  • (32:21) - Wrap and Part Two

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 The Media Odyssey. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.