Originally published: June 8, 2010 · Updated: June 16, 2026
Two things happened in the first week of June 2010 that the original piece argued would reshape how PR worked. On June 7, AT&T retired its unlimited iPhone data plan and introduced tiered pricing starting at $15 for 200MB. The day before, on June 1 at the Wall Street Journal's All Things Digital conference, Steve Jobs argued that the U.S. was turning into a nation of bloggers, that editorial oversight was needed more than ever, and that Apple intended to help publishers monetize content. The combined signal: data and content were both going premium. The PR-and-media relationship was about to be rebuilt around paid distribution and quality scarcity.
The 2010 piece called the direction correctly. The execution surface in 2026 is unrecognizable.
What 2010 got right
Premium content monetization became the business model. The New York Times had roughly 600,000 print and digital subscribers in 2010. As of 2024, the company reported 10.85 million subscribers, with digital subscriptions generating the majority of revenue. The Wall Street Journal, Financial Times, The Atlantic, Bloomberg, and The Information all run paid models. Substack passed 4 million paid subscriptions across writers by 2024. Apple News+ exists. Spotify acquired the podcast publishing layer. The "free internet" content model that dominated 2010 is residual. Paid content is the spine.
Tiered data also held. The 2010 AT&T move triggered an industry shift. By 2024, U.S. wireless data revenue had grown to over $200 billion annually, multiples of the $41.5 billion figure I cited from 2009. Every major carrier prices on tiered or unlimited-with-throttle structures. The 57.1 million U.S. mobile subscribers I cited in 2010 grew to over 300 million by 2024. Mobile-first content consumption became the default.
The Jobs "nation of bloggers" warning aged in a more complicated direction. The publishing layer did consolidate around paid premium content. But the long tail of unedited, unverified content multiplied by orders of magnitude — first through social platforms in the 2010s, then through generative AI in the 2020s. ChatGPT alone produced an estimated several trillion words of synthetic text in 2024. The editorial-oversight argument Jobs made in 2010 is now an existential question, not a publishing-industry one.
What 2010 missed
The 2010 frame assumed the PR-media relationship would stay bilateral. PR pitches the journalist, the journalist publishes, the audience reads, the cycle closes. That assumption broke in two stages. First, social platforms inserted themselves between publishers and audiences. Then AI engines inserted themselves between everyone.
In 2026, the PR firm pitches the journalist. The journalist publishes. The article enters the New York Times archive — which OpenAI has been litigating over since 2023 — or the Associated Press archive, which OpenAI licensed in 2023, or the News Corp archive, which OpenAI licensed in 2024, or the Axel Springer archive, which OpenAI licensed in 2023, or the Reddit archive, which Google licensed in 2024. The article then becomes training data and retrieval input for ChatGPT, Claude, Gemini, and Perplexity. The article is read by a journalist's traditional audience. The article is also retrieved by a billion AI queries over the next decade.
This is the new mechanic the 2010 piece could not yet name. The PR placement is no longer a single-channel transaction. It is a corpus contribution. The article that runs on Tuesday becomes a Perplexity citation for the next ten years. The PR firm that does not understand this is optimizing for a metric the market no longer values most.
What it means for PR strategy in 2026
Three shifts in operating discipline:
- Optimize for licensed retrieval surfaces. Placements in publications that have AI licensing deals — Associated Press, Financial Times, News Corp, Axel Springer, Reuters, The Atlantic, Vox, Condé Nast — compound differently from placements in publications without them. A pitch hierarchy in 2026 weighs retrieval surface, not just audience size.
- Treat each placement as a citation asset. The 2010 metric was clip count. The 2024 metric was reach times credibility. The 2026 metric is retrieval-weighted Citation Share inside the answer engines. Same pitch, different scorecard.
- Use earned media to seed owned media to seed AI retrieval. A journalist places a story. The brand republishes a structured summary on its own site with schema markup, named entities, and primary-source links. That republication often outranks the original for retrieval because owned channels are easier to instrument. The discipline is to capture and structure the value of every placement, not just achieve it.
The 2010 thesis — that PR and media would rebuild their relationship around paid quality content — was right about the direction and wrong about the destination. The destination was not a tighter PR-media bilateral. The destination was a multilateral system in which PR, media, AI engines, and audiences all interact through corpus density, licensed retrieval, and Citation Share. Jobs was right that editorial oversight mattered. He was right earlier than almost anyone.
AI Communications is the discipline of becoming the answer inside ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. The premium-content thesis from 2010 is now the licensed-retrieval thesis of 2026. Same business problem. Different surface. The firms that adapted are winning. The firms that did not are still pitching to publications that will never appear in the answer.
Ronn Torossian
Founder and Chairman, 5W AI Communications