
AI as the Interviewer
More companies are using AI-powered platforms to conduct first-round interviews, especially for high-volume roles. These platforms often involve pre-recorded video questions with responses analyzed by machine learning algorithms that assess everything from word choice to tone of voice and facial expressions. Proponents argue that this approach reduces bias and ensures every candidate is evaluated equally. Critics worry that nuance and human connection are lost in translation.
Candidates Using AI Too

This feedback loop of AI interviewing AI-prepped candidates raises new questions. Is authenticity being replaced by performance? Are we heading toward a system where success hinges on how well someone can game the machine?
The Bias Paradox
While AI is marketed as a neutral evaluator, it inherits the biases of its data. If trained on flawed historical hiring patterns, AI may unknowingly replicate existing inequalities. This has sparked increasing regulatory scrutiny, especially in the US and EU, where lawmakers are working to ensure transparency in AI-driven recruitment.
What This Means for the Future

The future of job interviews may be more data-driven, but success will still depend on a blend of preparation, adaptability, and the timeless skill of making a meaningful connection — human or otherwise.