It sounds like you’re echoing a growing sentiment—people are feeling fatigued by the term “AI”, even if the underlying technology remains important and fascinating. There’s a case to be made for reframing the conversation with more precise or refreshing terminology.

Here are a few alternative terms or framings that could shift the tone or focus:

1. Cognitive Tools

Emphasizes augmentation rather than replacement. Think of it as an assistant, not a replacement brain.

2. Synthetic Intelligence

More neutral and technically descriptive. Doesn’t carry the Hollywood baggage of “AI.”

3. Machine Assistants / Digital Assistants

Grounded in function, not hype. This feels more relatable, especially in business and productivity contexts.

4. Automated Reasoning Systems

Focuses on what these systems do rather than what they are.

5. Language Engines / Code Engines

For LLMs and coding copilots, this term narrows the focus to specific domains, which can help with clarity.

6. Model-Based Systems

Technical and grounded—useful when talking to engineers or product teams.

Or if the goal is just to avoid the buzzword soup entirely, using role-based language like “copilot,” “advisor,” or “co-creator” can work wonders in keeping conversations productive.