After a year of intense attention on flashy AI applications, analysts are noting a shift in user experience, with practical, low-profile tools likely to have a longer-term impact than more sensational AI offerings.
In 2025, “AI slop”—low-quality or unwanted AI-generated content—became a major feature of the Internet. From confusing chatbots to nonsensical product summaries, AI slop appeared across search engines, e-commerce platforms, and even official communications. Online media and consumer intelligence firm Meltwater reported that mentions of “AI slop” grew ninefold this year compared to 2024, with negative sentiment peaking at 54 percent in October. According to SEO firm Graphite, AI-generated content now represents more than half of all English-language material online. The term was even named Word of the Year 2025 by Merriam-Webster and Australia’s national dictionary.
Analysts warn that much of this content reflects “solution-led design,” where technology is added first, then products are built to justify it. Kate Moran, vice president of research at Nielsen Norman Group, said companies have often introduced AI in ways that confuse users rather than solve problems. She cited Meta’s AI search feature on Instagram, which replaced the traditional search bar and was quickly rolled back after user backlash. Consumer AI hardware, such as the Humane AI Pin, also received negative reviews, suggesting that “solutions are being built for problems that don’t exist,” according to Logitech CEO Hanneke Faber.
Even as some firms continue to launch flashy AI apps, user engagement has been muted. Meta introduced its AI video app “Vibes” in Europe this year, but early reports indicate just 23,000 daily users across the continent, concentrated in France, Italy, and Spain. This contrasts with the company’s previous efforts to prioritize “authentic storytelling” over low-value AI-generated content.
Experts say that practical, low-interaction AI features may be more effective in improving user experience. Moran highlighted Amazon’s AI-generated summaries of product reviews as a valuable example, providing quick insights without requiring user input. Similarly, Daniel Mügge, a researcher at the University of Amsterdam, argued that European tech investment should prioritize AI applications that solve concrete problems in robotics, manufacturing, or other sectors, rather than tools that amplify advertising or create low-quality content.
Platforms like Pinterest and YouTube are already responding to user frustration by allowing people to limit AI-generated content. Analysts say these “boring” but useful tools are shaping a more intentional approach to AI design.
“Smaller, specialized AI products can make a real difference for users without grabbing headlines,” Moran said. Mügge added that focusing on practical applications allows smaller companies to contribute meaningfully while avoiding a direct race with dominant AI developers.
As the AI hype cools, analysts agree that thoughtful, problem-focused tools are likely to outlast flashy applications, shaping the future of the Internet in ways that matter to everyday users.
