Phase 2 of Futurism: The Emergence
He introduces different ways technology can seem and feel more human, taking on roles in caretaking and service-providing, which ultimately call for a more personal touch.
Trend - Consumer technology is moving beyond generic AI outputs by combining intelligence with real-time sensor data from wearables, health devices, and connected homes. By interpreting individual behaviors, environments, and routines, these systems can deliver more contextual guidance and personalized interactions. The result is a shift toward AI experiences that adapt to the user rather than relying on broad recommendations.
Trend - Enterprise platforms are being designed for an AI-native world, with data, logic and workflows structured so that software can interpret context and act on it. In turn, this reduces manual handoffs, cuts down delays between steps and makes complex processes easier to run reliably at scale, freeing teams to focus human judgment where it matters most.
Trend - Productivity tools are moving beyond single-use generation into systems that can process documents, capture screen context, organize prompts, and pull information back into a usable workflow. The common shift is from isolated AI outputs to ongoing task support inside daily work for continuous, ongoing support.
Trend - Customer-facing software is shifting from simple chat support to systems that can answer calls, field messages across channels, and complete basic service tasks on a company’s behalf. These systems are beneficial for offloading repetitive tasks, reducing wait times, and helping staff invest more time in higher-value work and relationship management.