Why an AI 'Death Spiral' Threatens the Internet

Why It Matters

The erosion of click‑through traffic threatens the ad‑based business model that funds most online journalism, while new licensing deals show a possible path to sustainable revenue in an AI‑dominated landscape.

Key Takeaways

• Google’s zero‑click results fell from 70% to mid‑40% since 2011
• AI answers cut publisher traffic, threatening ad‑based revenue models
• People Inc. offsets loss by licensing content to LLMs and diversifying platforms
• Smaller publishers risk collapse, potentially shrinking training data for future AI
• Industry may shift to AI‑run creator funds, reshaping the Internet’s content supply

Pulse Analysis

The shift toward AI‑powered search has accelerated a trend that began years ago: zero‑click results. In 2011 Google routed more than 70 % of queries to external sites, but today that share hovers in the mid‑40 % range, according to click‑stream analysis from Rand Fishkin. Generative models now surface answers directly in the SERP, eliminating the need for users to click through to a publisher’s page. While this improves convenience, it erodes the traffic that underpins display advertising and subscription funnels, forcing media companies to confront a rapidly shrinking audience base.

Not all publishers are being squeezed out. People Inc., which reaches 175 million Americans monthly, has turned the AI disruption into a growth engine. By licensing its high‑value editorial assets to large language model providers and expanding distribution across TikTok, YouTube, and owned newsletters, the company has generated ten consecutive quarters of profit despite a 50‑percentage‑point drop in Google‑derived traffic. The AI‑enabled workflow also lets People produce roughly 50 % more content for the same cost, proving that strong brands can monetize both the data they create and the platforms that deliver it.

The broader consequence is a potential “death spiral” for the open web. As smaller outlets lose ad revenue and shut down, the pool of fresh text, video, and audio that fuels future models contracts, prompting AI firms to build in‑house publishing divisions or creator‑fund schemes reminiscent of TikTok’s talent pool. This feedback loop threatens the diversity of news, local journalism, and the democratic function of an information‑rich Internet. Policymakers, publishers, and AI developers must therefore explore new licensing frameworks and revenue‑sharing models to keep the content ecosystem sustainable.