
How to build the team that builds the company
Beyond the Noise: Building High-Performing Teams in the Age of AI
(This article was generated with AI and it’s based on a AI-generated transcription of a real talk on stage. While we strive for accuracy, we encourage readers to verify important information.)
Mr. John Kim, Co-founder and CEO of Paraform, addressed Web Summit Vancouver 2026, highlighting the escalating difficulty in talent acquisition. He noted a dramatic increase in candidates needed for a single hire, from 500 a decade ago to 5,000 today. AI, while powerful, has paradoxically complicated hiring by plummeting outreach costs, leading to “signal collapse” and an overwhelming volume of AI-generated applications, making it harder to find exceptional talent.
Paraform, an agentic hiring platform, tackles this by connecting fast-growing companies like Decagon, Palantir, and Rippling with critical talent. Its expert recruiter marketplace combines a vast network of specialized recruiters with custom AI agents. Companies post roles with detailed requirements, and Paraform matches them with recruiters based on data like network, interview-to-conversion rates, and capacity. Paraform has raised $65 million in funding, paid out nearly nine figures to recruiters, and facilitated thousands of hires.
Mr. Kim emphasized that hiring is the biggest bottleneck to innovation, as great human talent remains the world’s last scarce resource, even as AI makes compute and data cheaper. True progress occurs when the right person works on the right problem at the right time. The challenge isn’t finding candidates, but connecting with interested, qualified individuals. Paraform’s marketplace scales through real relationships and trust, built within its specialized recruiter network.
Paraform’s effectiveness is demonstrated by its metrics: an average “found time” of 11.5 days to introduce customers to their eventual hire, and a 70% interview conversion rate. Mr. Kim stressed that hiring is a universal problem, extending beyond tech to sectors like the New York Public Library seeking investment professionals or restaurants needing specialized chefs. This widespread challenge represents a massive opportunity for efficiency in the nearly $900 billion annual outsourced recruiting market.
In the AI era, three key shifts are observed. Firstly, companies now offer unlimited budgets for “10x talent,” recognizing the asymmetric value a single exceptional individual brings. Secondly, traditional talent functions are outdated; a flexible model integrating external specialized recruiters and “talent engineers” leveraging AI and data is needed to avoid cyclical layoffs. Lastly, vision is the new competitive moat; a massive, clear vision is essential to attract the best talent in a crowded, AI-driven landscape.

