Who Does the Internet Think You Are?

For the generations before Gen Z, the internet was a separate, emerging space that existed only behind a glowing screen: a place to socialize, to experiment, and to share pieces of yourself without necessarily connecting those actions to your offline identity. Gen Z grew up with a different set of conditions and downstream effects of a world accelerating toward a future where everyone has a digital footprint.

As the first true social media-native generation, Gen Z were raised in a world where personal identity and digital identity developed simultaneously. Friendships formed online, hobbies became digital, and even education went virtual during the COVID-19 pandemic - when the majority of Gen Z was entering secondary and higher education. Someone’s online presence was not just a reflection of who they were. It was one of the primary ways they expressed it.

For Gen Z, the warnings were always present: “Think before you post,” your parents said. “Future employers will see this,” cautioned teachers. “The internet is permanent. Nothing is ever gone forever.” The idea that your online behavior could impact your real-world life was never surprising. It was the default assumption, and “normal”.

All of that advice is still relevant today, but artificial intelligence is supercharging the relevance of these warnings, especially for job-seekers. For decades the information that candidates provided when job searching (at least in the early stages of an application process) could largely be controlled by the applicant. A résumé summarized the experience you chose to share. An interview demonstrated communication skills but lasted for just the duration of the conversation. References offered outside validation, but not about your personal life - just your workplace behavior. In all but the most extreme (or careless) situations the system allowed applicants to decide which parts of themselves became professionally relevant and had the ability to curate exactly what they shared to employers and colleagues.

There are signals that AI is quickly eroding that boundary. As employers adopt AI-powered hiring tools, the definition of a candidate’s “professional profile” is expanding. A recent Wall Street Journal report describes how employers are increasingly using AI to analyze publicly available online information alongside traditional application materials. Platforms like Ferretly can connect activity across social media accounts using publicly available data and facial-recognition technology, while other hiring systems like Eightfold AI and Workday have faced lawsuits questioning how applicant data is collected, interpreted, and used in employment decisions. Together, these tools and their wide reaching ability to dig into an applicant’s full online presence (professional and person) illustrate a broader shift: hiring is moving beyond evaluating what candidates choose to disclose toward interpreting years of digital behavior that was never intended to function as part of a résumé.

For many workers, this expansion of employer visibility feels like a dramatic departure from the hiring process they expected. For Gen Z, however, it may feel surprisingly familiar. They entered adolescence under constant reminders that colleges, employers, and strangers alike could search what they posted online. Long before AI entered recruiting, many had already learned to think of their digital footprint as part of their public identity. The question isn’t whether digital footprints exist and can be found. It is whether every partof that identity should become available for evaluation, and the ease with which something that previously could have been removed or shielded from public consumption can now be found.

Our team sees this as a signal that the impact of artificial intelligence on job searching and hiring is still in its infancy, and the cautionary tales of what a person says or does online will likely take on a new level of seriousness. Previous generations generally enteredthe workforce believing their professional and personal lives were distinct. Gen Z largely did not. They built careers, friendships, portfolios, and reputations online long before applying for their first jobs. That may make Gen Z the first generation truly prepared for AI hiring—not because they welcome deeper surveillance, but because they already understand that digital identity has real-world consequences. The debate ahead is no longer whether online reputation matters. It is who gets to interpret it, what conclusions they can legally draw, and where society chooses to place the boundary between public information and professional evaluation.

The future of work may not ask, “What have you done?”, but rather “Who does the internet think you are?”

Potential Future Implications

• Human Judgment as a Premium Skill — As AI systems summarize candidates, employers may place greater value on human-led evaluation methods that capture nuance, context, and potential. Interviews, mentorship, and relationship-based hiring could become premium signals precisely because they cannot be reduced to data points.

• The Death of the “Private Citizen” — As digital identity becomes increasingly intertwined with professional identity, the expectation of having separate personal and public selves may weaken. Future workers may need to navigate a world where privacy is less about hiding information and more about controlling interpretation.

• AI Creates a New Type of Workplace Bias — Traditional discrimination often comes from visible characteristics. AI-driven evaluation introduces a different challenge: invisible assumptions. People may be judged based on algorithmic interpretations of interests, communication styles, networks, or online behaviors that they do not realize are being evaluated.

Key Data and Considerations

• Mobley v. Workday, Inc. A lawsuit examining whether AI-powered hiring tools can contribute to discriminatory employment decisions, raising questions about how employers should be held accountable when automated systems influence candidate screening, ranking, or rejection.

• Kistler et al. v. Eightfold AI Inc. A lawsuit involving allegations that an AI recruiting platform collected and used personal candidate information in ways that raised concerns around privacy, transparency, and the use of personal data in employment decisions.

• AI Knows What You Did Online. Now Your Employer Does, Too. Employers are increasingly using AI-powered tools to analyze candidates’ online histories, making it easier to connect digital activity across platforms and evaluate information beyond traditional applications.