The biggest opportunity for AI isn't just automating existing human work, but tackling the vast number of valuable tasks that were never done because they were economically inviable. AI and agents thrive on low-cost, high-consistency tasks that were too tedious or expensive for humans, creating entirely new value.

Contrary to expectations, job candidates found it easier to talk to an AI interviewer. The lower pressure of a non-human interaction allowed them to relax, be more open, and talk more freely about their experiences, leading to better outcomes.

Tools like Final Round AI provide candidates with live, verbatim answers to interview questions based on their resume and the job description. This development undermines the authenticity of remote interviews, creating a premium on face-to-face interactions where such tools cannot be used covertly.

The greatest value in recruiting has always been in the service layer—the human judgment required to find and engage talent—not in software like CRMs or ATSs. AI agents represent the first technology capable of automating this high-margin service work at scale, unlocking a decacorn-level opportunity previously inaccessible to pure software plays.

AI tools drastically reduce the time needed to complete complex tasks, breaking the traditional billable-hour model for consultants and agencies. The focus must shift to value-based pricing, where compensation is tied to the problem solved or the output created, not the hours worked.

Flexport uses AI agents for tasks that were previously skipped because they were too costly for human employees, like calling warehouses to confirm addresses. This shows that AI's value isn't just in replacing existing work, but in performing new, marginally valuable tasks at a scale that is finally economical.

The next wave of AI in hiring moves beyond asynchronous video interviews where recruiters manually review recordings. Talent Sprout exemplifies this shift by using conversational AI that not only engages candidates naturally but also evaluates their responses in real-time. This dual capability—conversation and evaluation—automates the initial screening process.

Previously, conducting large-scale surveys via expert calls was cost-prohibitive. AI-led interviewers remove human time constraints and dramatically lower costs, enabling investors to gather real-time market sentiment from hundreds of sources simultaneously.

The AI user research platform Listen discovered a key psychological advantage: people are less filtered and more truthful when speaking with an AI. This tendency to be more honest with a non-human interviewer allows companies to gather more authentic feedback that is more predictive of actual future customer behavior.