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  3. AI exposure and productivity
Social Capital@socialcapital · Oct 6, 2026 · Scatter plot

AI exposure and productivity

Social Capital's scatter plot drew 24.2K views on X: 5.9x its typical post and #31 of 41 Social Capital charts we track by views. Read Oct 13, 2026.

According to the Dallas Fed, the three most exposed sectors to AI have grown output per hour at 3.7% a year since early 2024.

Posted on X by @socialcapital (Social Capital), Oct 6, 2026. Source: x.com · See its data

Why it spread

The post spread because it paired a clear, source-backed claim about AI-exposed sectors growing output per hour at 3.7% a year versus 1.7% for the rest of the economy withisas a scatter chart, earning 23,989 views, 59 likes, 8 reposts, 2 quotes, and 14 saves, which is 8.4 times the account's normal performance.

What worked

  • The post text gives a simple, credible comparison from the Dallas Fed: 3.7% versus 1.7%.
  • The scatter chart visually supports the claim that industries more exposed to AI have seen faster productivity growth.
  • The post is branded and shows a source line, which adds trust, and it earned an above average quote rate with many quotes.

What to borrow

We could use a scatter chart with a clear source line and a simple two-number comparison from our own data to show how one group outperforms another.

Careful

Do not over-read the quote rate or the unusual chart type as the main cause, and do not copy the exact numbers or the Dallas Fed framing without our own equivalent data.

Written by our analysis model from the measured numbers above, not by Social Capital.

Make it yours

We have not read this chart's numbers yet

All chart data

Its own maker appears here once its numbers are read. Until then, these are other real charts in a similar format: each data page starts from that chart's numbers and takes yours.

API · Max

Use this chart via API

On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 3e20068e5574.

Approximate values. Our two readings of this chart agreed only in part (confidence 0.43 of 1), so check the original before you quote a number. The API marks it lowConfidence, and ?min_confidence=0.5 leaves it out.

PathReturnsPlan
GET/api/v1/charts/3e20068e5574Title, publisher, date, form, point count; with a Max key, the data linkOpen
GET/api/v1/charts/3e20068e5574/dataEvery point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSVMax
GET/api/v1/charts/3e20068e5574/render?view=1The draw-only view this page usesOpen
POST/mcpTool get_chart_data with this id, for Claude, Cursor and other agentsMax
curlMax
curl -s https://viral-chart.com/api/v1/charts/3e20068e5574/data \
  -H "Authorization: Bearer $VIRALCHART_KEY"
Claude CodeMax
claude mcp add --transport http viralchart https://viral-chart.com/mcp \
  --header "Authorization: Bearer $VIRALCHART_KEY"

60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.

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Questions people ask

How far did Social Capital's "AI exposure and productivity" chart travel?

24,169 views, 61 likes, 8 reposts and 14 saves on X, read Oct 13, 2026. A normal post from @socialcapital gets about 4.1K views.

What kind of chart is it?

A scatter plot. Industries more exposed to AI have seen faster productivity growth.

Can I use Social Capital's chart?

Use the format, not the picture. The chart, logo and design belong to Social Capital. ViralChart redraws the chart type with your numbers and words, and credits the original publisher.