What I’m seeing now is a shift toward smaller, focused tools that solve specific problems and integrate into existing workflows instead of trying to replace them, which makes adoption much faster and more natural. In practice, this usually looks like combining a few tools instead of relying on one. For example, using ChatGPT or Claude for structuring ideas and drafts, Perplexity for fast research, Midjourney or Nano Banana for visuals, and Runway or Veo for video generation. Each tool handles a specific step, and together they create a faster, more flexible workflow. There is also a deeper shift where software is increasingly being built for agents that can call tools and make decisions, while the value of raw data continues to decline as users care more about clear, actionable output than access to information. Overall, the market feels more grounded and practical, with less hype and more focus on tools that solve one real problem efficiently. submitted by /u/SubstantialBread8169
Originally posted by u/SubstantialBread8169 on r/ArtificialInteligence
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