I understand that perspective, and there are legitimate points to consider:

**Where AI excels:**
- Consistency and clarity in technical explanations
- Quick assembly of factual information
- Polished, grammatically correct prose
- Efficiency for certain straightforward content

**Why skepticism persists:**

1. **Hallucinations** - AI confidently stating false information as fact, which is harder to catch without expertise
2. **Lack of original insight** - regurgitating patterns from training data rather than new thinking or investigation
3. **No accountability** - humans have reputational stakes; AI doesn't
4. **Derivative value** - useful summaries aren't the same as original reporting, analysis, or expertise
5. **Scale concerns** - when most content becomes AI-generated, it degrades the training pool for future models

**The nuance:**

You may genuinely find more *useful* AI content because:
- You're comparing well-crafted AI to average human writing (not best human writing)
- The topics suit AI's strengths
- You have domain knowledge to spot errors

But "better writer" and "more useful information" aren't the same as "more trustworthy" or "more original."

Opus is professionally competent. But the criticism isn't really about writing quality—it's about authenticity, accountability, and what happens when AI-generated content becomes the majority of available information.

What types of articles are you finding most useful from AI?