AI Generates Charts; You Tell the Story
5 min read
Data Sci
Data Sci
AI drafts. You decide what the audience needs to hear and what they'll do next.
AI Generates Charts; You Tell the Story
TL;DR
- AI can create charts and draft narratives from data. Fast. Sometimes wrong.
- The story — what it means, why it matters, what to do next — is yours.
- Your job shifts from "make the chart" to "make the chart right and make it land."
A chart without context is a pretty picture. A chart with the wrong context is dangerous. AI will give you both. Your value: knowing which is which and turning analysis into action.
What AI Handles
Chart generation:
- "Create a bar chart of X vs. Y." — Done. You check: right data? Right aggregation? Right time range?
- "Make it look professional." — AI applies styling. You may need to adjust for brand or accessibility.
Draft narratives:
- "Summarize these findings." — AI writes prose. You trim, correct, add caveats.
- Useful for first drafts. Never ship without review.
Suggested insights:
- "This metric went up. That one went down." — AI states the obvious. Sometimes it catches something non-obvious. Verify.
What You Own
The "so what":
- Numbers went up. Why does that matter? What should the reader do?
- AI describes. You prescribe. That's the value.
The audience:
- Executive summary vs. deep dive vs. technical report — Different audiences need different stories. AI doesn't know who's reading.
- You adapt tone, depth, and framing.
The caveats:
- "This excludes X." "This is correlation, not causation." "We're not sure yet."
- AI tends to sound confident. You add the nuance.
The call to action:
- "Recommend next steps." — AI can suggest. You own which ones are realistic and prioritized.
The Workflow
- AI generates — Chart + draft narrative.
- You validate — Right data? Right interpretation?
- You refine — Add "so what," audience-specific framing, caveats, next steps.
- You own the final output — If it's wrong, it's on you. AI is a drafting partner.
Build chart. Add headline. Hope the audience gets it. 'Here's the data.'
Click "Reporting With AI" to see the difference →
Quick Check
AI generated a chart and narrative. The numbers are right. What's still missing?
Do This Next
- Generate one report with AI — Use your normal data. Have AI draft chart + narrative. Edit it. What did you change? That's your value-add.
- Document your review checklist — For any AI-generated insight: What do you always verify? Share it.
- Practice the "so what" — Pick one chart. Write three versions: for an exec, for a analyst, for a customer. AI can draft; you tailor.