AI productivity
Source reports covering AI productivity. Stories will appear when analysis and community reactions are ready.
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Source reports
AI promises productivity, but for managers, it’s mostly a headache for now
news
4 min read
A Nielsen survey commissioned by Monday.com found that AI tools are making employee oversight harder for many managers even as they remain enthusiastic about the technology. More than half of 1,700 directors and senior managers surveyed across seven countries said AI has made it harder to evaluate employees’ work, while nearly half said they now spend more time reviewing and guiding team output. Polished AI-assisted work can obscure how much was created by an employee versus a model. Seventy-eight percent of respondents said they have changed employee evaluation methods after adopting AI, giving more weight to prompting, task delegation, and experimentation. Forty-six percent use AI to inform decisions and 39% use it to draft performance reviews. Monday.com’s Michal Miller Levi said companies have not yet resolved concerns about AI bias in performance assessments. The survey cited research finding that language models can reproduce human rating patterns and may show varying biases across social groups. AI adoption has also expanded software-management and governance demands. Fifty-seven percent reported more tools in use, 51% said their tools had become more interdependent, and only 29% described their AI infrastructure as fully optimized and centralized. Fifty-eight percent expect to oversee more AI agents than human employees within a year; 46% worry about losing control of agent actions, and 35% fear being held responsible for AI-made decisions.
Tl;dv: Over 180k meetings left wide open
news
7 min read
tl;dv (Too Long; Didn't View) is an AI meeting recording platform that integrates with Google Meet, Zoom, and Teams to record, transcribe, and summarize meetings. The platform has over 2 million users and is backed by investors, with endorsements from prominent figures in the sales community on LinkedIn.
Tech leaders say AI means less work – staff say they work up to 90 hours a week
news
6 min read
Tech leaders claim AI will reduce work hours, while employees report working up to 90 hours a week. A Google engineering director predicted a four-day work week by 2025, but recent feedback suggests a disconnect between expectations and reality.
The AI Productivity Gap
opinion
4 min read
AI has improved the productivity of engineering teams but has not significantly reduced the time required to develop production features compared to traditional methods. Understanding the AI productivity gap requires examining how developers structure their workdays.
AI saves about 3% of your hours, and almost none of it reaches the money
research
8 min read
AI saves approximately 3% of work hours, with minimal financial impact on paychecks or profit and loss statements. The technology enhances efficiency in specific tasks like writing and support, but overall productivity gains may diminish in practice.
The solution might be cancelling my AI subscription
opinion
5 min read
Maintaining numerous AI projects has become burdensome and unmanageable, leading to a reconsideration of AI subscriptions. The author expresses that most projects lack utility and were not intended to be developed, resulting in a news outlet that feels like a liability.
Is This Sustainable?
opinion
13 min read
Discussions on AI productivity often categorize experiences into overly optimistic claims of increased efficiency or vendor-centric perspectives on software development life cycles. A focus on the real human experiences and challenges faced with AI integration is lacking in current narratives.
Can we have the day off?
opinion
2 min read
AI is poised to revolutionize productivity across the global white-collar workforce, enhancing work processes, interactions, learning, and socialization. This transformation promises to significantly improve efficiency and ease in various aspects of life.
CEOs admit AI had no impact on employment or productivity
opinion
6 min read
Thousands of CEOs report that AI has not significantly impacted employment or productivity. This situation has led economists to revisit a productivity paradox first noted by Robert Solow in 1987, which observed a slowdown in productivity growth despite advancements in technology.
The human cost of 10x: How AI is physically breaking senior engineers
opinion
8 min read
AI has increased the review queue for engineers by 98%, leading to cognitive overload and physical exhaustion. This heightened productivity demands have resulted in significant mental strain, causing feelings of emptiness and disorientation among senior engineers.
What Is Copilot Exactly?
opinion
5 min read
Microsoft Copilot is an AI-powered tool designed to enhance productivity by assisting users in various tasks. It integrates with Microsoft applications to streamline workflows and improve efficiency.
Codegen is not productivity
opinion
18 min read
Generative AI, including large language models (LLMs), can produce significant amounts of code. However, measuring productivity solely by lines of code generated is considered an inadequate metric for assessing software development output.
Preliminary data from a longitudinal AI impact study
research
2 min read
Preliminary data from a longitudinal AI impact study indicates that AI productivity gains are approximately 10%, rather than the previously suggested 10x. High expectations for AI productivity, influenced by social media and vendor marketing, may not align with these findings.
Levels of Agentic Engineering
opinion
16 min read
AI's coding capabilities are advancing faster than effective utilization by engineering teams. Successful product development, such as Anthropic's Cowork, illustrates the importance of bridging the gap between AI capabilities and practical application.
Why developers using AI are working longer hours
opinion
6 min read
A survey of nearly 5,000 technology professionals revealed that 90 percent are using AI at work, with over 80 percent reporting increased productivity. Despite these benefits, developers are reportedly working longer hours.
We are changing our developer productivity experiment design
research
8 min read
METR's previous study indicated a 20% slowdown in task completion among experienced open-source developers using AI tools. A new experiment launched in August 2025 aims to assess AI's impact on developer productivity over time, but participant feedback suggests the data may be unreliable.