AI in the Enterprise: Trust, Pace, and the Next Learning Curve
We live in a world of duality. As individuals, many of us still don't fully trust AI. Yet professionally, we're building products, workflows, and strategies that are increasingly AI-first. That tension is real - and for those of us building enterprise technology, earning trust isn't optional. It has to be designed in - through transparency, explainability, governance, and outcomes that actually matter to the people using the system. The pace of change is equally humbling. Even practitioners are working hard to keep up. New models, specialised LLMs, agentic workflows, MCP-style integrations, deep research capabilities, cross-system automation - what felt experimental eighteen months ago is quickly becoming a baseline expectation. And then there's FOMO. None of us wants to become outdated in our own field. Technology has changed dramatically over the last two decades, but this wave feels different - because the cycle time of innovation has compressed so sharply that ...
