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AI & Work

Check Shipped Outcomes, Not AI Activity

Audit your work for user-facing results, compare activity to shipped value, and build the judgment skills that keep you employable.

Illustration: Check Shipped Outcomes, Not AI Activity

Your screen is full of AI activity: generated code, drafts, tickets, and notes. The fear is understandable when agents, layoffs, and productivity claims fill the conversation. The question that decides your quarter is whether that activity shipped as user-facing value.

At Meta, internal code changes to platforms and infrastructure rose 220% over the prior year, while changes that produced new or improved user-facing features grew only 36%.

DORA, a research group that studies software delivery, reported AI use among developers at 90% in 2025, up from 76% in 2024. Over 80% of respondents credited AI with higher productivity, while 59% credited it with better code quality. Keep adoption and shipped value in separate lists.

DORA's earlier survey of 3,000 respondents linked each 25% increase in organizational AI adoption to a 1.5% drop in delivery throughput and a 7.2% drop in delivery stability, the speed and reliability of shipping. More AI can add friction if the team does not manage the work it creates.

The shipped-output test turns activity into evidence

  • Name the shipped outcome. Draft one line that names the user-facing feature, business result, or operational improvement that shipped because of your work. The line should include a release, a metric, a customer, and a date you can defend.
  • Compare activity to outcome. List the AI-assisted work you produced, then list the outcomes that reached users. The outcome list is the test, not volume.
  • Check the incident load. Look for service disruptions, security issues, rework, or support spikes tied to the work. At Meta, major technical and security incidents rose 40% year over year, and employee time spent responding to them rose 70%. End with what broke, what you fixed, and what you would prevent.
  • Trace accountability. Identify who owned the decision, who fixed the failure, and who can explain the tradeoff. You are ready when you can name the owner, the decision, and the tradeoff.
  • Put the evidence where it can be seen. Add the shipped outcome, the activity comparison, and the incident check to your weekly update as a short note your manager can read quickly.

Judgment, integration, and accountability are the durable advantage

Meta's Project OT, an internal Organization Transformation plan, considered scenarios in which some teams would be reduced by up to 60%. The plan outlined using virtual workers, overseen by compact talent-dense teams, to take over everyday work now done by thousands of employees.

Mark Zuckerberg stopped planning for Meta's planned second layoff wave in November, on May 19, hours before the first wave started, and Meta carried out a 10% workforce reduction on May 20. In its second-quarter regulatory filing, Meta reported 75,472 employees as of June 30, and that headcount still included roughly 8,000 people affected by the May reduction, with most expected to leave reported headcount by the end of September.

The sequence shows the failure mode: automated work can absorb routine tasks, but the organization still needs people who can integrate, judge, and own outcomes. DORA listed seven best practices shared by organizations that benefit from AI.

AI taking on routine coding tasks could let developers spend more time deploying code, raising delivery throughput and product performance. The effect of AI on software delivery is driven by how teams use it, not by whether they use it.

Build the talent-dense skills that close the gap: judgment, integration, accountability, and shipped impact. Record the tradeoff you made and the evidence behind it. Connect your work to the next team, the customer, and the business metric. Document what you shipped, what broke, and what you would change. In a review, show a few examples.

This week, capture a shipped outcome, an activity metric, and an incident check for your current role. Put them in your notes before your next performance conversation, and bring the one example that best shows you are on the talent-dense side: judgment, integration, accountability, and shipped impact.

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