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Google will let candidates use its Gemini AI in a code‑comprehension interview round, testing the format in the US for junior to mid‑level roles.
Google will let software‑engineering candidates use its Gemini AI model during the “code comprehension” interview round, beginning in the second half of the year as part of a pilot for junior and mid‑level roles in the United States [2].
| At a glance | |
|---|---|
| Company | |
| AI tool | Gemini (approved assistant) |
| Interview round | Code comprehension (read, debug, optimize) |
| Pilot scope | Junior to mid‑level roles, select US teams |
| Timeline | Starts second half of the year, expands if successful |
The internal document reviewed by Business Insider describes the new format as “human‑led, AI‑assisted.” Candidates will still be overseen by interviewers, but they may query Gemini while analysing existing code rather than writing solutions from scratch [1]. Interviewers will assess “AI fluency,” including prompt‑engineering, output validation and debugging skills [2]. The pilot will first run in Google’s Cloud business and Platforms & Devices unit, with plans to roll out to other orgs and regions if the test proves effective [1][3].
Google says three‑quarters of new code generated inside the company came from AI as of April [2]. Industry peers such as Canva and AI‑coding startup Cognition already allow AI use in technical interviews, arguing that prohibiting tools is akin to banning calculators on a math test [2][3]. By aligning interview tasks with the “GenAI era,” Google aims to evaluate candidates on managing and improving AI‑generated code—a skill set increasingly central to modern software development [1][3].
If the pilot confirms that AI‑augmented interviews better predict on‑the‑job performance, Google could set a new hiring standard for engineering roles, forcing competitors to rethink how they evaluate coding talent in an AI‑driven development landscape.
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AI-assisted synthesis by the TrendWatcher Editorial Desk · sourced from 4 outlets · Jun 16, 2026 · How we report
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