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# Your interview questions assume candidates can afford Claude Code Max

**[LeadDev](https://daily.dev/sources/leaddev)** · 8 min read · 0 upvotes · 1 comments

## Summary

Engineering hiring practices are increasingly testing access to expensive AI tools rather than raw aptitude. A college student's inability to afford Claude Code Max prompted one engineering lead to reconsider his interview questions. Researchers frame this as 'agentic inequality' — a gap gated by money, compute, expertise, and time — with three dimensions: availability, quality, and quantity of agent access. The problem compounds: early access builds skills that lead to better jobs and more access. GitHub's removal of premium models from its student Copilot plan drew over 6,700 downvotes. Engineering managers report spending $100/month on agentic tools just to stay competitive. Proposed mitigations include providing candidates equal tool access during interviews and asking about access disadvantages, but researchers argue governments need to measure and address agentic inequality at scale before the flywheel effect entrenches permanent sorting.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://leaddev.com/ai/your-interview-questions-assume-candidates-can-afford-claude-code-max>

## Questions this post answers

### Why did GitHub Copilot's student plan change cause backlash?

GitHub removed access to premium models from its Copilot student plan and later added a 200 monthly AI credit cap starting in June, prompting users to complain they could no longer keep pace with industry standards on agentic coding. One user noted a single prompt could exhaust the entire monthly credit allotment, and the announcement post drew over 6,700 downvotes versus fewer than 100 upvotes.

_Developers tracking changes to AI coding tool plans and pricing can follow updates like this on daily.dev._

### What is 'agentic inequality' in the context of AI coding tools?

Agentic inequality describes a widening gap driven by unequal access to money, compute, expertise, and time needed to use agentic AI systems effectively. Researcher Matthew Sharp identifies three dimensions: availability of an agentic system, its quality, and how many agents someone can run, arguing this creates 'scalable delegation' where early access compounds into a permanent hiring advantage.

_Anyone weighing how AI tool access shapes career opportunities can find perspectives like this on daily.dev._

## Community discussion

Top comments from developers on daily.dev.

**@ghost** · 0 upvotes

> We are so fucked if the first requirement to not even having a job, but having interviews, is paying for an llm sub..

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---

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

[View this post on daily.dev](https://daily.dev/posts/your-interview-questions-assume-candidates-can-afford-claude-code-max-n8cce2cxb)

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