New graduates are often the most fluent people in the office when it comes to emerging technology, and many firms now encourage thoughtful use of artificial intelligence (AI) to improve productivity and solve problems. That fluency is genuinely valuable — but it comes with responsibilities that are specific to engineering practice.

Acceptable use varies widely between firms. Always follow your firm’s internal AI policy if one exists. If it does not, national guidance documents such as NCSEA’s Artificial Intelligence in Structural Engineering outline the key considerations.

  • Four things to get right
  • Where it actually helps
  • NCSEA resources

Four Things to Get Right

Where It Actually Helps

Used responsibly, AI supports tasks at the edges of engineering work rather than at its center:

  • Brainstorming approaches early in a problem
  • Summarizing lengthy code text
  • Generating first-draft narratives for reports and correspondence
  • Organizing calculations and documentation
  • Improving clarity in written communication

Like any engineering software, AI should be treated as a tool, not an authority. The same scrutiny you apply to a model that runs without errors applies here.

NCSEA Resources

NCSEA maintains an active body of work on AI in structural engineering practice.

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