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Eightfold AI says recruiters could screen 1 candidate’s digital twin first

Ashutosh Garg, CEO of Eightfold AI, says a candidate's digital twin could handle the first interview screen before a recruiter meets the real person. The pitch is built around faster screening, fewer résumé checks, and more focus on human judgment.

NBBy Nathan BrooksCorrespondent, Business & Corporate
October 12, 2026, 12:36 PM ET
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Ashutosh Garg, CEO of AI talent management platform Eightfold AI, says recruiters may soon interview a candidate's digital twin before meeting the person.

Garg recently launched TwinCafe, a platform where job seekers can upload a résumé, LinkedIn profile, work samples, and other relevant documents to create a digital version of themselves. The platform generates a shareable link that Garg envisions candidates placing at the top of their résumé or LinkedIn profile.

The stated goal is not just convenience. Garg says digital twins could change how companies screen talent by moving some of the early back-and-forth away from the live interview.

Rather than spending the first 20 minutes walking through a résumé, a recruiter could question the candidate's twin beforehand, digging into previous roles, skills, or gaps in work history. The recruiter could then reserve time with the actual candidate for questions that require human judgment and interaction.

'Imagine a future where a recruiter may not even need to be present for the first screen,' Garg said. In his view, an employer could 'send their own agent' to talk to the job seeker's digital twin.

Garg said the approach could surface people a standard résumé might reject and allow companies to interview more candidates. 'Why limit a screening to five candidates?' he said. 'Why not interview everyone?'

He also argued that résumés are too limiting and that a digital twin can 'fill in the blanks' on parts of a background that might otherwise raise questions, including career breaks or moves between industries.

The screening concept arrives as employers keep leaning on technology to compress hiring timelines and reduce the time spent on basic verification. Garg's pitch is that the machine does the sorting, and the human does the judgment.

That is the real story here. Hiring is becoming less about a polished résumé and more about what can be verified, interrogated, and processed at scale. For employers, that may sound efficient. For workers, it raises a simple question: if the first gate is software, who is really getting the leverage?

Capital rewards clear rules, and hiring is no exception. If digital twins become the new front door, the companies that use them will be betting that faster screening produces better labor-market outcomes. The market has already voted on the résumé; now it is testing whether the next step is an algorithm with a better memory.

Checked against its sources before publication · Method and verification

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