Will I have
a job?

Honest predictions about which jobs survive automation — grounded in peer-reviewed research, not speculation.

Frey & Osborne — 702 occupations — 80,000 Hours — McKinsey — World Economic Forum — Bureau of Labor Statistics — O*NET — Epoch AIFrey & Osborne — 702 occupations — 80,000 Hours — McKinsey — World Economic Forum — Bureau of Labor Statistics — O*NET — Epoch AIFrey & Osborne — 702 occupations — 80,000 Hours — McKinsey — World Economic Forum — Bureau of Labor Statistics — O*NET — Epoch AIFrey & Osborne — 702 occupations — 80,000 Hours — McKinsey — World Economic Forum — Bureau of Labor Statistics — O*NET — Epoch AI

The data

The numbers
don't lie.

0%

of US jobs at high risk of automation

Frey & Osborne, 2017

$0.0T

in wages exposed to AI disruption

WILLAI, 2025

0M

new jobs expected to emerge by 2030

WEF, 2023

0+

occupations scored and analyzed

O*NET / BLS OOH, 2024

How it works

Search. Learn.
Bet on it.

Three tools for navigating the future economy, powered by data from Oxford, McKinsey, and 80,000 Hours.

01

Search any job

Search 150+ occupations covering 80M workers. See automation probability, timeline, and which tasks get replaced first.

02

Scan your resume

Upload your CV for a personalized risk assessment. Get specific upskilling advice, career pivot strategies, and see exactly which of your skills are future-proof.

03

Bet on the future

Wager play money on when jobs disappear. Shorter timelines pay bigger odds. See the crowd consensus.

Resume Scanner

Is your career
future-proof?

Upload your resume and get a personalized automation risk assessment. See which of your skills are resilient, which are at risk, and get specific upskilling advice and career pivot strategies — tailored to your exact background.

100%
Personalized advice
80K+
Hours research
0
Data stored