---
title: AI Adoption & Diffusion Across the Economy
type: concept
tags: [ai-adoption, labor-economics, onet, enterprise, diffusion, augmentation-vs-automation]
sources: ["[[sources/2025-korst-wharton-gen-ai-enterprise-adoption]]", "[[sources/2025-handa-which-economic-tasks-ai]]", "[[sources/2025-tomlinson-working-with-ai]]", "[[sources/2025-becker-metr-ai-developer-productivity]]"]
created: 2026-04-20
updated: 2026-04-20
---

# AI Adoption & Diffusion Across the Economy

Hub page for evidence on how generative AI is being adopted and what it is being used for, drawing on three complementary measurement strategies.

## Three complementary measurement lenses

| Lens | Source | Population | Unit | Key signal |
|---|---|---|---|---|
| Enterprise leader survey | [[sources/2025-korst-wharton-gen-ai-enterprise-adoption]] | ~800 US decision-makers at 1000+-employee firms | Self-reported usage & ROI | 82% weekly, 46% daily; 72% measuring ROI; 75% positive returns |
| Anthropic platform usage | [[sources/2025-handa-which-economic-tasks-ai]] | 4M+ Claude.ai conversations | O*NET task per conversation | ~36% of occupations use AI for ≥25% of tasks; 57% augmentation / 43% automation |
| Microsoft Copilot usage | [[sources/2025-tomlinson-working-with-ai]] | 200K Bing Copilot conversations | O*NET IWA (user-goal + AI-action split) | Cross-occupation applicability score; info work dominates |

A fourth, methodologically distinct, anchor measures *actual productivity* rather than adoption: [[sources/2025-becker-metr-ai-developer-productivity]] (METR RCT) finds frontier AI tools slow experienced OSS developers by 19%, despite forecasts of ~25–40% speedup.

## Converging patterns

- **Information work dominates.** Writing, learning, communicating, teaching/explaining, coding, and data analysis account for the bulk of usage across platforms.
- **Software engineering is the single biggest vertical** in both Claude and Bing Copilot usage; confirms predictions from exposure-based forecasts (Webb 2019; Eloundou et al. 2023) with direct measurement.
- **Cognitive skills over physical or managerial.** Reading Comprehension, Writing, Critical Thinking dominate; Installation, Equipment Maintenance, Negotiation barely appear.
- **Mid-to-high wage, bachelor's-degree peak.** Usage is inverted-U across wages and preparation requirements, not monotonic with skill.
- **Mix of augmentation and automation.** Neither pure collaboration nor pure replacement; 57/43 split in Handa et al. Tomlinson et al. extend this with a per-occupation user-goal/AI-action split, identifying which occupations shift *focus* vs. get *assisted*.

## Tensions and contradictions

- **Perceived vs. actual productivity gap.** Enterprise leaders report 75% positive ROI ([[sources/2025-korst-wharton-gen-ai-enterprise-adoption]]); experienced developers in RCT are 19% slower with AI while predicting 20% speedup ([[sources/2025-becker-metr-ai-developer-productivity]]). The gap is setting-specific — synthetic tasks and less-experienced workers still show speedups — but underscores that self-reported ROI may be inflated.
- **Augmentation-vs-automation is not a binary.** Tomlinson et al. show the AI's action often differs from the user's goal (40% disjoint IWA sets); pure-automation framings understate the co-production pattern.
- **Skill atrophy as adoption grows.** 43% of enterprise leaders warn of skill declines ([[sources/2025-korst-wharton-gen-ai-enterprise-adoption]]) — independently causally demonstrated in the novice-learning setting of [[concepts/ai-skill-formation]].

## Three-wave adoption trajectory (Wharton/GBK)
1. **2023 — Exploration.** 37% weekly use; "fascinated but cautious"; simple office tasks.
2. **2024 — Experimentation.** 72% weekly; +130% spend; pilots across functions.
3. **2025 — Accountable Acceleration.** 82% weekly; 46% daily; 72% measuring ROI; guardrails tightening; people (not tools) set the pace.

## Sectoral ranking (converging across sources)
**Leaders:** Tech/Telecom, Banking/Finance, Professional Services, Computer & Mathematical, Sales & Related, Office & Admin Support.
**Laggards:** Manufacturing, Retail, Healthcare Support, Farming, Construction, Building/Grounds Maintenance.

## Related concepts
[[concepts/ai-skill-formation]] · [[concepts/ai-agent-benchmarks]] · [[concepts/agentic-bpm]]