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# AI makes creating software faster, but in regulated industries, judgment matters more

**[thoughbot](https://daily.dev/sources/thoughbot)** · 7 min read · 0 upvotes · 0 comments

## Summary

AI is making software implementation dramatically faster, but for regulated industries like healthcare, fintech, pharma, and insurance, the harder and more valuable skill is judgment: deciding what to build, how fast to move, and where mistakes are costly. The piece argues experienced developers become more valuable, not less, when using AI, since accountability for consequences (privacy breaches, compliance failures, auditability problems) still rests with humans. It cites a thoughtbot-commissioned survey of 168 healthcare tech leaders showing 68% struggle to increase velocity without added risk and 94% value reliability over speed. The author advises hiring for long-term ownership while augmenting teams for near-term capability gaps, and evaluating potential hires on judgment, disagreement handling, and understanding of when caution matters versus when to move fast.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thoughtbot.com/blog/ai-makes-creating-software-faster-but-in-regulated-industries-judgment-matters-more>

## Questions this post answers

### What percentage of healthcare technology leaders say they struggle to increase delivery velocity without increasing risk?

68% of engineering, product, and technology leaders surveyed across U.S. healthcare organizations reported struggling to increase delivery velocity without introducing risk. The same research, covering 168 leaders, found 94% value teams that ship reliably over teams that simply move fast, and 89% believe accelerating delivery depends on external trusted software partners.

_Healthcare engineering leaders balancing speed and risk can find related delivery research on daily.dev._

### Should a struggling engineering team hire more developers or use AI coding tools instead?

Neither by default: the real fix is diagnosing what capability is missing rather than assuming headcount is the answer. If engineers are blocked on product decisions or architecture, adding developers just accelerates building the wrong thing. Options include internal hiring, augmenting an existing team with senior talent for capability rather than capacity, or resolving a non-engineering bottleneck first.

_Teams weighing hiring versus augmentation can track this debate around AI and staffing on daily.dev._

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---

Tags: [#leadership](https://daily.dev/tags/leadership), [#ai-coding](https://daily.dev/tags/ai-coding)

[View this post on daily.dev](https://daily.dev/posts/ai-makes-creating-software-faster-but-in-regulated-industries-judgment-matters-more-u1z0b1lzy)

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