Generative AI can help produce useful material, but it can also make low-quality web content faster and cheaper to create. That shift is putting pressure on the systems that place ads online and raising questions about how search engines and ad platforms should respond.
More content, lower barriers
SpeedyBrand, a company that uses generative AI to create SEO-optimized content, emerged from stealth with backing from Y Combinator. It had raised $2.5 million and had about 50 brands as customers, according to the source article. Those figures point to an early business, but the larger issue is how generative tools could change the amount and economics of material published online.
As The Verge’s James Vincent wrote, generative AI models make it easier and less expensive to produce lower-quality content. The article describes NewsGuard identifying hundreds of ad-supported sites with generic-sounding names that feature misinformation created with generative AI.
Low costs and quick production can make this kind of content attractive to bad actors. When creating text takes little time and money, publishers can produce more pages in the hope that some attract visitors. The source article does not suggest that every AI-written page is harmful; it focuses on how the technology can support spam and misinformation at scale.
When advertising rewards junk
The sites described by NewsGuard appear to be built to exploit programmatic advertising: automated systems that place ads on webpages. Its report found close to 400 instances of ads from 141 major brands appearing on 55 junk news sites.
That creates a problem for advertisers whose ads can end up beside misinformation without a deliberate choice to support those sites. It also raises a wider concern about where advertising money flows. If a low-quality article draws engagement and earns ad revenue, even modest returns could divert money from legitimate publishers.
As Gizmodo’s Kyle Barr noted, a single AI-generated article might generate a large amount of engagement. The source article highlights the economic imbalance: if the advertising income exceeds the cost of generating the text, publishing more material may remain worthwhile for the operators, even when the content adds little value.
Platforms face a difficult response
Barr argues that search engines and ad platforms should take stronger action against people using generative AI to spread junk. That approach places responsibility on services that influence which pages are found and which receive advertising.
But enforcement may be difficult when AI can produce content at a vast scale and the field is moving quickly. A platform may need to identify bad actors and limit their reach while new material keeps appearing. The source article questions whether search and advertising companies can keep pace with that combination.
Spam itself is not new. The web has gone through earlier waves and adapted. What has changed, according to the article, is how low the barrier to entry has become: producing content now requires less time and money. That makes the existing challenge larger and may complicate responses that worked when production was slower or more costly.
The choices made now may last
Vincent takes a more optimistic view, suggesting that a web overrun with AI junk could encourage the development of better-funded platforms. The article’s writer is less certain that this outcome will follow. Either way, the spread of generative AI marks a turning point for the web.
The consequences depend in part on how platforms treat AI-generated output. Search services and ad systems help determine which content gains visibility and revenue. Their choices could influence whether lower-quality material becomes a routine feature of the online publishing economy or whether incentives shift toward more reliable sites.
The source article presents no simple fix. Instead, it frames a question for the companies that distribute and monetize online content: how can they respond to AI-assisted spam when production is cheap, scalable and still evolving? The answer matters beyond individual advertisers or publishers, because the decisions made now may affect how the web functions for years to come.