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# Good AI Models Aren't the Problem Anymore

**[Tech With Tim](https://daily.dev/sources/TechWithTim)** · 1 min read · 0 upvotes · 0 comments

## Summary

The current bottleneck in AI adoption isn't model quality, which is already strong, but the difficulty of deploying models into messy, real-world production systems that deliver measurable business impact. This shift in need explains the rise of the forward deployed engineer role, someone who bridges research-grade AI capability with practical enterprise integration.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.youtube.com/watch?v=NWzs25y_uls>

## Questions this post answers

### What is a forward deployed engineer and why is this role becoming important in AI?

A forward deployed engineer is someone who takes AI models out of demo environments and integrates them into a company's actual production systems so they deliver real business impact. This role has grown in importance because model quality is no longer the limiting factor in AI adoption; the challenge now is deployment into messy, real-world infrastructure that companies are willing to pay for.

_Engineers weighing a move into applied AI roles can follow how forward deployed engineering evolves on daily.dev._

---

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

[View this post on daily.dev](https://daily.dev/posts/good-ai-models-aren-t-the-problem-anymore-ko5kjcxqo)

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