One year after Google rolled out AI Overviews in Australia, new data reveals a worrying trend for news publishers: many are experiencing steep declines in search-driven traffic, putting revenue and jobs at risk. ABC analysis shows smaller publishers are particularly vulnerable, with some already issuing layoff warnings.
Evidence of Declining Web Traffic
- ABC obtained SimilarWeb data showing that the combined readership of Australia’s top news sites is considerably lower than a year ago, with declines in search referrals across the board.
- Some news organisations report traffic drops of up to 35 % from Google searches since AI Overviews began appearing above the traditional blue links.
- In contrast, Ipsos Iris (the industry standard for audience measurement) still shows aggregate readership across the top 10 sites rising, suggesting conflicting interpretations of digital reach.
- Experts say the shift in user behaviour is clear: people now often read the AI-generated summary and never click through to the original article.
A data point from a former staffer named Thomas underscores the severity: after the AI Overviews rollout, his employer’s SEO traffic “plummeted,” forcing job cuts in content teams.
Google Shifts Search from Links to Answers
- Google launched AI Overviews in Australia in late 2024. Since then, queries now often surface a generated summary box above the usual search results.
- In October 2025, Google introduced AI Mode in Australia—an enhanced search experience that in many cases replaces blue links with conversational summaries.
- This represents a pivot in Google’s strategy: from being a search index to operating as an “answer engine” that may reduce dependency on publisher links.
Google defends the change, stating AI Overviews are used only when it has “high confidence” and still provide links for deeper reading.
Risks for News Publishers & Media Ecosystem
- Revenue erosion: With fewer clicks to publisher sites, ad impressions and subscription conversions could suffer.
- Job insecurity: Smaller outlets reported warnings of layoffs and financial strain.
- Content undervaluation: Publishers’ work is being distilled into AI summaries without proper credit or compensation.
- Quality risks: AI summaries can “hallucinate” or misrepresent facts, creating misinformation risks when users don’t click through to verify.
- Competitive concentration: Larger publishers may better withstand traffic loss due to diversified revenue streams, while niche outlets may struggle to survive.
What’s Next & What to Watch
- Whether audit or regulatory action will force Google to allow opt-outs or compensate publishers
- How publishers adapt: optimizing for AI search, building loyalty beyond search, or exploring paywalls and membership models
- Continued analysis of traffic data (SimilarWeb, Ipsos, internal metrics) to gauge the long-term impact
- Public and media pushback concerning fairness, transparency, and editorial integrity
- Evolution of Generative Engine Optimization (GEO)—new rules and strategies for visibility in AI-powered search
