"Robots will be performing enough "main street" tasks that the average urban dweller will encounter at least one per week in the ordinary course of their day: Autonomous robotics development for dozens of high-leverage use cases, taking place largely behind the scenes for years now, finally hits a sophistication inflection point allowing for scaled deployments across a number of sectors and applications. People will begin seeing these products performing regular tasks in retail, restaurants, universities, hospitals, office buildings, construction sites, and elsewhere."
"Big agentic "every solution for every customer" AI companies will see accelerating churn: As enterprise customers grow frustrated with the amount of in-house customization required, and the time and cost of implementation and employee training. This is not to say that AI adoption will slow, rather that enterprise customers will rotate into products that sit within a traditional SaaS framework, purpose-built for their sectors and use cases - i.e., those that come off the shelf capable of solving their companies' most pressing problems,"
Most B2B SaaS platforms will embed generative AI into dashboards, with natural language prompts becoming the default navigation method that replaces traditional menus and search. Autonomous robotics will reach a sophistication inflection point enabling scaled deployments across many sectors, causing urban residents to encounter robots performing routine tasks in retail, dining, education, healthcare, offices, and construction on a weekly basis. Large, generalist agentic AI vendors will experience accelerating churn as enterprises tire of heavy customization, long implementations, and training, and will instead choose sector-specific, pre-trained SaaS solutions with simple, intuitive UIs for non-technical users.
Read at Alleywatch
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