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Google has confirmed that, during the trial phase of its revamped recruitment process, the Gemini model will serve as a companion for candidates in interviews. The company says the change is designed to better reflect how its teams operate in the AI era.
Brian Ong, Vice President of Recruitment at Google, said the recruitment process is being continuously developed to ensure the company hires “outstanding talents,” adding that the new approach reflects current team workflows.
Google also noted that when AI participates in the interview room, the way human capability is assessed changes. Employers will not only evaluate how quickly candidates can write code. Instead, they will assess “AI fluency,” including:
Google’s move is tied to the scale of AI-generated code at the company. In April, Google disclosed that 75% of newly created code is written by AI.
Separately, OpenAI Chairman Greg Brockman said AI has progressed from writing 20% of code to 80% in a short period. With code increasingly produced by machines, Google frames the engineer’s role as shifting from “craftsman” to “architect” and “controller.”
Google describes the new interview format as “human-led, AI-assisted,” aiming to simulate the real workflow of a software engineer in the AI era.
Beyond technical evaluation, the interview round “Googleyness and Leadership” is also being upgraded. Instead of answering behavioral questions, candidates will take part in a design discussion based on the technical projects they previously completed.
For younger applicants, Google said traditional technical tests will be replaced by solving “open technical challenges.”
Other tech firms are also moving in this direction. Startups including Canva and Cognition have begun allowing candidates to use AI in interviews.
Emily Cohen, head of operations at Cognition, compared restricting AI use to testing without tools, saying: “Not allowing candidates to use AI is like forcing a child to do math tests without a calculator.” She added that using AI tools can help candidates build something closer to real work.
According to BI, Google’s change signals that pure programming skills are no longer the sole “trump card.” In a world where AI can write code at scale, the value of human workers is positioned around systems thinking, judgment, and the ability to orchestrate AI tools.
For candidates, the company’s approach presents both opportunity and challenge: the opportunity to tackle more complex problems with machine assistance, and the challenge of learning to master AI rather than rely on it. BI frames the “race to Google” as shifting from IQ and algorithm knowledge toward adapting to artificial intelligence as a new collaborator.
Source: BI
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