ISIC 62

Software and data careers in the age of AI

Fast-rising AI capability alongside strong demand for people who can design, verify and operate software systems.

How to interpret AI change in software and data

Task exposure, employment outlook and model capability answer different questions. Reading them together gives teams and professionals a more useful picture than treating any single forecast as a prediction of what will happen to an occupation.

Start with tasks, not job titles

A role in software and data contains routine, interpersonal, analytical and accountable work. AI may accelerate one activity while increasing the need to verify another, so evaluation should test the actual workflow and not assume the whole occupation changes at once.

Use outlook data in context

The salary and employment figures on this page come from the cited U.S. Bureau of Labor Statistics occupation profile. They provide a transparent benchmark, but they are not a global wage estimate, a forecast of AI adoption or evidence that every software and data role follows the same path.

Evaluate the consequential decisions

Teams should prioritise cases where missing context, unsupported claims or incorrect actions could affect people or business outcomes. Qualified reviewers can define critical failures, identify when escalation is required and preserve difficult examples for future regression testing.

Track change with comparable evidence

A useful software and data benchmark records the instruction, model or agent version, reviewer standard and verified outcome. Keeping those elements stable allows teams to tell whether a later result reflects real improvement rather than an easier case mix.

Keep a human escalation path

Automation boundaries should be based on consequence and uncertainty, not only average accuracy. When evidence is incomplete, rules conflict or a decision requires accountable professional judgement, the workflow should stop and route the case to an appropriately qualified person.

U.S. salary range

$79,850–$211,450+

Approx. 10th to 90th percentile, May 2024

U.S. median salary

$133,080

Software developers

Employment outlook

+16% projected employment, 2024–34

U.S. BLS projection—not a global forecast

Salary figures are annual U.S. occupational wages and exclude some self-employed workers. They are a transparent benchmark, not a worldwide salary estimate or a DataM8 rate. View the BLS source.

AI EXPOSURE, CAREFULLY STATED

Exposure is not the same as job loss

Software and other highly digitised professional work has rising GenAI exposure. Exposure describes tasks that may change; the current BLS projection for software developers remains strongly positive.

Read the ILO global index

Where human expertise remains decisive

  • Architecture, requirements and system-level trade-offs
  • Security, reliability and production accountability
  • Verification across ambiguous multi-step work

How software and data experts improve AI

1

Review code correctness and maintainability

2

Score debugging and tool-use trajectories

3

Verify agent outcomes in realistic repositories

Explore matching experts

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