Eseandre Mordi
⬤ Fresh data from Filtered shows a major shift in how people actually use generative AI between 2024 and 2025. The numbers tell a clear story: users are moving away from one-off queries and toward building repeatable workflows that handle everyday tasks. Technical assistance jumped from 23% to 31%, making it the biggest category by far. Meanwhile, content creation dropped slightly from 22% to 18%, suggesting people are getting more selective about when they fire up AI tools.
⬤ What's driving this change? Non-technical users are finally figuring out they don't need to code to build sophisticated AI systems. They're connecting tools like ChatGPT, Claude, Make, and Zapier into multi-step chains that automate repetitive work. The process is straightforward: break down a workflow, write clear instructions, add real examples, then let simple connectors handle the automation. Personal support held steady at 16%, while learning remained at 15%.
⬤ This matters because it's expanding who can actually benefit from AI day-to-day. When regular users apply chained workflows to communication, document handling, and decision-making, demand for AI platforms naturally grows. The data points to something bigger than a trend—AI is becoming standard infrastructure for how work gets done in 2025.
⬤ The shift from isolated prompts to structured workflows represents a maturation of the AI adoption curve. As platforms like Airtable and Notion integrate deeper with AI models, the barrier between thinking about a process and automating it continues to shrink. What started as experimental tech for early adopters is now becoming the default approach for handling routine business operations across industries.
Eseandre Mordi
