Some Amazon engineers say managers have increasingly pushed them to use AI over the past year, raising output goals and becoming less forgiving about deadlines
Pushed to use artificial intelligence, software developers at the e-commerce giant say they must work faster and have less time to think.
New York TimesNoam Scheiber
Context & Ripple Effects
Amazon engineers describe AI adoption not as a discretionary tool rollout but as a change in how their work is evaluated: higher output targets, faster delivery, and less time for deliberation. Later coverage extends that pattern to AWS developers taking on new roles with AI assistance and required technical-writing work.
The reporting matters because it puts management incentives at the center of AI deployment. Subsequent accounts of additional senior review for AI-assisted code after outages show the tension between pushing faster output and preserving engineering controls.
First-order effects
Amazon engineers face tighter delivery expectations alongside pressure to incorporate AI into day-to-day development work.
Less time for planning and review can shift more of engineers' effort toward producing visible output and away from independent problem-solving.
Second-order effects
Managers must reconcile AI-linked productivity targets with the extra review and remediation burden when AI-assisted work creates quality problems.
Teams that cannot translate AI use into reliable output may face internal pressure to standardize workflows, documentation, and sign-off practices rather than simply increase tool usage.
Third-order effects
If this approach persists, AI adoption in software organizations may become a labor-management system—where tool use is tied to performance expectations—rather than a voluntary productivity aid.
The durable constraint will be the cost per reliable completed task: faster generation only changes organizational productivity when quality assurance keeps pace.
The trend: This is one data point in AI industrialization, as companies convert generative-AI access into standardized workflows and measurable employee output expectations.
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so I would expect shit to stop working at Amazon/AWS in the medium term, as engineers are being required to (a) use AI coding to (b) output features faster faster FASTER!! — www.nytimes.com/2025/05/25/b... archive: archive.is/9V58J