Objective

We need to Stop Saying “AI” and instead shift shifting technical language away from the term and frame of "Artificial Intelligence (AI)" toward specific, outcome-oriented terminology. Advocates of this shift argue that "AI" has become a "dog whistle for disruption anxiety," often triggering fear of human replacement rather than highlighting utility. Instead, we should use "intelligent" to describe software capabilities as a standard expectation; replacing "automation" with "orchestration" to emphasize the coordination of complex tasks and shifting the focus from "chatbots" to integrated "workflows" that solve coordination errors and surface project statuses.

Subjective

When I reflect on why we need to stop saying "AI", I think about how words can either build a bridge or a wall. Labeling everything as "AI" creates a spectacle that often distracts from the actual value being delivered. It feels like we are more enamored with the engine than the destination. By focusing on orchestration and workflows, we ground the technology in human agency. It transforms a mysterious, looming force into a practical partner that simply helps us see what was previously hidden in the noise of our daily data.

Symbiotic Intelligence (SI)

Contexts

#artificial-intelligence