H22 AI Launches Platform to Help Gen Z Navigate Careers in an AI-Driven Job Market

January 21, 2026
H22 AI has emerged from stealth with an AI-native platform designed to guide Gen Z in career planning amid rising automation and job instability. The platform, expected in early 2026, will use personalized insights to help users identify strengths and align career paths.

H22 AI, Inc. has launched from stealth with an AI-native platform designed to help Gen Z navigate career and life planning, announced in a press release. The company aims to address challenges posed by automation and a shrinking entry-level job market.

The platform, expected to become available in early 2026, uses proprietary technology to generate a personalized "Blueprint of You," helping users uncover strengths, develop new skills, and explore career paths across three areas: Life, Learning, and Career. H22 plans to reach more than seven million users by 2030.

Founded by Heather Jerrehian, who previously built and sold workforce intelligence platform Hitch to ServiceNow, H22 will also form Gen Z advisory councils to influence product development, data governance, and AI ethics. The company will participate in the World Economic Forum at Davos to discuss solutions for youth employment and workforce readiness.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like AI in Education or Daily AI Brief.

Also, consider following us on social media:

Subscribe to AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more