Business Insights on Generative AI Trends
As generative AI reshapes industries, the ‘AI Global Report: Global Sector Trends on Generative AI’ by SimilarWeb (data ending May 9, 2025) provides essential insights into user engagement shifts. The report identifies significant trends, highlighting both growth and decline in various sectors. Here are five key findings from the analysis.
1. Growth of AI-Powered Coding Tools
The category of DevOps and Code Completion tools has seen a remarkable 75% increase in traffic year-over-year. This trend indicates a growing acceptance of AI assistants that aid in coding tasks, error detection, and workflow automation.
For example, the platform Lovable achieved an outstanding 207% increase, while Cursor reported a 62% growth. Their integration into Integrated Development Environments (IDEs) helps developers reduce cognitive load and speeds up software development processes.
2. Disruption of Traditional EdTech Models
Chat-based large language models (LLMs) such as ChatGPT and DeepSeek are transforming educational practices. DeepSeek, in particular, experienced an incredible traffic spike of over 17,000% year-over-year before stabilizing in May.
Conversely, traditional education platforms are struggling, with Chegg and CourseHero reporting traffic declines of 62% and 68% respectively. This suggests that LLMs are effectively replacing conventional educational resources with interactive, real-time support, especially in STEM and writing disciplines.
3. Decline in Legal AI Tools
In contrast to the success of coding tools, the Legal AI sector has seen a significant traffic drop of 73%. This may indicate market saturation, where the benefits of generative AI for legal tasks like contract summarization and compliance automation have yet to be fully realized.
While initial interest was high, legal professionals appear hesitant to adopt these tools widely until they can demonstrate practical utility and alignment with the complexities of legal work.
4. Mixed Results in Video Generation Tools
The Video Generation sector showed a slight overall decline of 5%. However, this masks significant differences among platforms. While Kling.ai and RunwayML faced declines, Heygen experienced a 25% increase, likely due to its focus on specific business applications like creating synthetic avatars.
This illustrates a broader trend where video platforms that meet clear market needs are gaining traction, while those with less defined purposes struggle to maintain user engagement.
5. Pressure on Freelance Platforms from AI Automation
The report notes a 17% decline in traffic to digital freelance platforms, with Fiverr and Upwork experiencing drops of 15% and 19%, respectively. This decline is attributed to generative AI’s capability to automate tasks traditionally performed by freelancers, such as copywriting and design.
This shift may indicate a transitional phase for the freelance economy, where those who adapt by integrating AI-enhanced services will find new opportunities.
Conclusion
The findings from SimilarWeb’s report reveal a divide in generative AI adoption. Platforms that successfully address specific industry challenges and demonstrate measurable productivity improvements are thriving, while those lacking differentiation face challenges. As AI becomes more integrated into work processes, user engagement will increasingly rely on clear purpose and return on investment.
This transition is more than a technological shift; it signifies a fundamental redefinition of productivity across sectors.
If you’re interested in how AI can enhance your business processes, consider identifying areas for automation and evaluating key performance indicators to measure your AI investments effectively. Start small, gather data, and gradually expand your AI initiatives to see tangible benefits.
For further assistance in navigating AI in your business, feel free to contact us at hello@itinai.ru or connect with us on Telegram, X, and LinkedIn.
