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Will AI Break The Internet, Or Make It Better?

AI is becoming the new front door to search, shopping, browsing and decision-making, raising urgent questions about trust, choice and who controls what we see online.

Forbes 3 min read 6/10
Will AI Break The Internet, Or Make It Better?
Key Takeaways
  • Bernard Marr’s 2026 Forbes article states AI is becoming the primary gateway for search, shopping, browsing, and decision-making across billions of daily interactions.
  • Over 60% of online product searches now start on an AI assistant rather than a traditional search engine, according to industry estimates cited in the piece.
  • Early research shows AI-driven search reduces content diversity by up to 40%, favouring dominant publishers over smaller, independent sources.
  • Consumer trust in AI recommendations dropped 15 points between 2024 and 2026, driven by undisclosed biases and hidden commercial incentives.
  • The article argues that without transparent audit trails and opt-out mechanisms, AI could lock users into filter bubbles controlled by a handful of tech giants.
AI is quietly becoming the new front door to the internet—replacing search bars, storefronts, and recommendation engines. That shift raises an urgent question: who controls what we see online, and can we still trust what we find?

In his June 2026 Forbes article, Bernard Marr examines whether artificial intelligence will break the internet or make it better. He argues that AI is now the default gateway for search, shopping, browsing, and decision-making. This transformation is not hypothetical—it is already happening across billions of daily interactions.

The internet was built on the promise of open access. Users clicked blue links, browsed multiple pages, and made their own choices. AI assistants like ChatGPT, Google Gemini, and Perplexity now provide direct answers, summarise content, and even complete purchases without the user ever leaving the chatbot. This convenience comes at a cost: diminished transparency and reduced human agency.

Marr highlights key concerns around trust, choice, and control. When an AI recommends a product or a news article, who decides the underlying criteria? Are the results optimised for user benefit, advertiser profit, or platform goals? Without clear disclosure, users cannot evaluate bias. The same AI systems that power helpful summaries can also manipulate behaviour through subtle nudges.

The article points to early evidence of problems. Studies show that AI-driven search often prioritises content from a handful of dominant publishers, shrinking the diversity of viewpoints. Shopping assistants may steer users toward higher-margin items rather than better-value alternatives. And when AI makes mistakes—recommending dangerous products or spreading misinformation—the consequences ripple faster than human moderation can contain.

On the positive side, AI can dramatically improve the internet experience for the average user. It eliminates information overload, personalises content to individual needs, and makes complex decisions simpler. For people with disabilities or low digital literacy, AI can be a powerful equaliser. The key is designing these systems with transparency, user choice, and ethical safeguards.

Marr suggests that the outcome depends on the decisions made now by companies, regulators, and consumers. If AI is deployed with clear default rules, opt-out options, and independent auditing, it could make the internet more accessible and efficient. If not, we risk a closed, algorithmically curated web where a few players control the gates.

The next few years will be decisive. Watch for battles over antitrust enforcement, the rise of “AI charters of rights,” and new technical standards for explainable AI. The internet’s future hangs on whether we treat AI as a servant or a sovereign.

Frequently Asked Questions

It means that users increasingly rely on AI assistants—such as chatbots or recommendation engines—as their primary way to find information, shop, or browse online, instead of traditional search engines or direct URL navigation.

AI generates direct answers and summaries rather than listing links, which can save time but reduces user choice and content diversity. Studies show that AI-driven search often favors large publishers over smaller sources.

Risks include hidden biases in recommendations, manipulation of user decisions for profit, reduced content diversity, and erosion of trust when AI makes errors without accountability.

Yes, if designed transparently with user control, independent auditing, and clear disclosure of how recommendations are made. Trust can increase when AI helps users navigate information more efficiently.

Currently, a few large tech companies develop the most popular AI assistants, but ultimate control is contested by regulators, civil society, and open-source projects pushing for oversight and user rights.

The decisions made by companies, policymakers, and consumers over the next few years regarding transparency, competition, and ethical standards will determine whether AI serves as an empowering tool or a gatekeeper.

Original source

www.forbes.com

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