---
type: "post"
id: "the-wharton-school-of-the-university-of-pennsylvania-cb97aa"
slug: "the-wharton-school-of-the-university-of-pennsylvania-cb97aa"
title: "The Wharton School of the University of Pennsylvania has published its fourth annual report on the state of AI since the launch of ChatGPT, with the findings becoming one of the most closely watche..."
description: "The fourth annual Wharton-GBK AI adoption report adds a new vantage point to its recurring survey."
retrieval_nugget: "The fourth annual Wharton-GBK AI adoption report adds a new vantage point to its recurring survey."
published_at: "2026-10-19"
updated_at: "2026-10-19"
record_date: "2026-10-19"
date_kind: "published_at"
topics: ["ai-adoption"]
source_urls: ["https://ai.wharton.upenn.edu/wp-content/uploads/2026/10/Wharton-GBK-AI-Adoption-Report_Exec-Summary_FINAL.pdf"]
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stable_id: "post:the-wharton-school-of-the-university-of-pennsylvania-cb97aa"
status: "published"
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editorial_provenance: {"schema_version":"newruntime-editorial-copy-v1","content_status":"source_grounded_final","final_copy_sha256":"sha256:e9763654d64f932c24b4c7050a2e9f74e6e9f5018c10b1a4b03901f23fa6148b","reviewed_at":"2026-10-19T14:09:32.633Z","source_evidence_count":1,"verified_claim_count":2,"site_analysis_schema_version":"newruntime-site-analysis-v1","site_object_kind":"field_note","observed_fact_count":2,"implication_count":1,"watch_condition_count":1,"related_record_count":0}
analysis: {"schema_version":"newruntime-site-analysis-v1","object_kind":"field_note","thesis":"AI adoption reporting is more informative when it compares executive accounts with the experience of employees doing the work.","observed_facts":[{"text":"The report is described as a repeated cross-sectional study, and for the first time it also surveys entry- and mid-level employees.","source_urls":["https://ai.wharton.upenn.edu/wp-content/uploads/2026/10/Wharton-GBK-AI-Adoption-Report_Exec-Summary_FINAL.pdf"]},{"text":"Wharton Human-AI Research directs the research agenda and publishes the report; GBK designs the instrument and sample and runs the study and analytics.","source_urls":["https://ai.wharton.upenn.edu/wp-content/uploads/2026/10/Wharton-GBK-AI-Adoption-Report_Exec-Summary_FINAL.pdf"]}],"mechanism":"Adding worker respondents makes it possible to compare what leaders say about organizational AI use with what employees report from their own roles; it does not, by itself, establish that either account is more accurate or that AI caused a business outcome.","why_now":"The report says AI is moving into budgets, processes, and job design, making benchmarks relevant to organizational decisions.","implications":["Readers can treat the expanded respondent base as a potentially useful check on leadership-only narratives, while waiting for the detailed results before drawing conclusions about adoption or performance."],"evidence_boundary":"The supplied source excerpt gives the study’s scope and division of roles, but not its numerical findings, sample details, or comparisons between respondent groups.","watch_conditions":["Whether the full report publishes comparable results for leaders and employees, with enough methodology detail to assess how those groups were sampled."],"related_records":[],"new_branch_reason":"No prior New Runtime record of this report is supplied."}
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
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---

# The Wharton School of the University of Pennsylvania has published its fourth annual report on the state of AI since the launch of ChatGPT, with the findings becoming one of the most closely watche...

## Retrieval answer

The fourth annual Wharton-GBK AI adoption report adds a new vantage point to its recurring survey.

The fourth annual Wharton-GBK AI adoption report adds a new vantage point to its recurring survey. Thesis: AI adoption reporting is more informative when it compares executive accounts with the experience of employees doing the work. The report is described as a repeated cross-sectional study, and for the first time it also surveys entry- and mid-level employees. These are the observed facts in the supplied executive summary.

Mechanism: Adding worker respondents makes it possible to compare what leaders say about organizational AI use with what employees report from their own roles; it does not, by itself, establish that either account is more accurate or that AI caused a business outcome. Why now: The report says AI is moving into budgets, processes, and job design, making benchmarks relevant to organizational decisions. The source assigns Wharton Human-AI Research responsibility for research direction and publication, while GBK designs the instrument and sample and runs the study and analytics.

Implication: Readers can treat the expanded respondent base as a potentially useful check on leadership-only narratives, while waiting for the detailed results before drawing conclusions about adoption or performance. Evidence boundary: The supplied source excerpt gives the study’s scope and division of roles, but not its numerical findings, sample details, or comparisons between respondent groups. Watch condition: Whether the full report publishes comparable results for leaders and employees, with enough methodology detail to assess how those groups were sampled. This is a new analytical record because no prior New Runtime record of this report is supplied.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

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- topic hub: [Ai Adoption](https://newruntime.com/topics/ai-adoption.md): Explore the ai-adoption topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)