
Find out which parts of your job AI will automate first —
and exactly what to do about it.
The professionals who know their risk are already upskilling. The ones who don't are falling behind.





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In just three years, AI has gone from a curiosity to a co-worker. It writes code, drafts reports, analyses data, and handles tasks that used to take humans hours — in seconds.
This isn't a distant threat. Goldman Sachs estimates 300 million jobs face exposure. The WEF reports 44% of core skills will be disrupted by 2030. The question is no longer ifAI will affect your career — it's how much, and how fast.
Knowing where you stand is the first step to staying ahead.
“By 2030, 44% of workers’ core skills will be obsolete.”
— World Economic Forum, Future of Jobs Report 2025
Is yours one of them?
A precise 0–100% score specific to your job title, years of experience, and industry — not a generic bucket.
When the biggest changes hit your role: near-term disruption, acceleration phase, and high-impact window.
A task-by-task breakdown showing exactly which parts of your job are already being replaced — and which are resilient.
Specific skills to build, roles to pivot toward, and certifications that give you the biggest advantage — tailored to your profile.

Three data points that reframe the conversation — backed by peer-reviewed research.
Tell us your job title, industry, years of experience, and work type — takes under 2 minutes.
We match your role to O*NET task data and score each task against current AI automation capabilities.
Your weighted AI Risk Score is calculated using models from McKinsey, WEF, Oxford, and Stanford research.
Receive a personalised report with your score, timeline, resilient skills, and recommended next steps.






¹ O*NET OnLine, U.S. Dept. of Labor — occupational task database
² McKinsey Global Institute, The Future of Work after COVID-19, 2021 & A New Future of Work, 2023
³ World Economic Forum, Future of Jobs Report, 2025
⁴ Stanford HAI, AI Index Annual Report, 2024
⁵ Frey & Osborne, The Future of Employment, Oxford, 2013
⁶ MIT Work of the Future Task Force, Shaping the Future of Work, 2023
Real output based on O*NET task data and AI research. Pick your profession:
Mortgage loan officers face severe displacement pressure as AI now handles document ingestion, credit scoring, income verification, and rate comparison in seconds. Platforms like Blend, Roostify, and Rocket's AI underwriting engine already process 70–80% of standard loan applications end-to-end — with no human in the loop until final sign-off.
Tap a task to see why — and what you can do.
Own the human layer that AI can't replace — complex client cases, edge scenarios, and the relationship trust that closes deals. Your domain depth becomes your moat.
Help lenders implement AI platforms. Your insider knowledge of loan workflows is worth more to fintech vendors than any engineer who's never closed a loan.
Pivot to holistic financial planning — a relationship-first role where empathy and trust are structural advantages that no model can replicate.
“I'm a data analyst. Seeing 83% hit different. I've already signed up for two ML courses and started building side projects. This was the wake-up call I needed.”
“Shared this with my entire team after our quarterly planning. Everyone needs to see where they actually stand — not where they hope they stand.”
“Finally something that doesn't just scare you — it tells you exactly what to do about it. The pivot roles section alone was worth it.”
New WEF data reveals the occupations facing the highest near-term disruption risk.
5 min read →The human capabilities that research consistently shows AI cannot replicate effectively.
7 min read →Real stories of professionals who transformed threat into opportunity with targeted upskilling.
6 min read →A data-driven forecast of which sectors will see the most AI-driven workforce change by 2030.
8 min read →A step-by-step framework for professionals who want to stay ahead of AI disruption.
4 min read →