"I personally am charged with shipping these AI systems with a goal of reducing engineering headcount by 30%, and that feels like blood on my hands."
"I leaned into AI tools, building them into my day-to-day. Last week I did a healthcare claims analysis in 2 days that took me 2 years in grad school. My company recognized me with an innovation award."
Source: Anthropic: Interview of 81K Users
Same job title. Two completely different realities. If you've been paying attention to the labor market this year, you've heard some version of both, at a dinner table, in a group chat, in your social feed.
The shift isn't the dramatic overnight collapse the headlines keep predicting. It's quieter. Entry-level openings dropping. Familiar tasks showing up in AI product demos. The sense that the ground beneath certain careers has started to move, even if the job listings haven't caught up yet.
A month ago, we put up a AI-proof careers leaderboard, 900+ careers, ranked by AI resilience. The reception has surpassed our wildest expectations.
People aren’t passively consuming information - they’re actively searching for answers. They’re not just looking to validate their current path; they’re exploring multiple directions at once, trying to understand what options exist and which ones might actually hold up.
Conversations with users made something else clear: many people are feeling vulnerable. The response has been humbling, and it’s a responsibility we take seriously. It’s shaped how we think about what we’re building.
People don't just want an informational resource - they want help navigating their career uncertainty.
So today, we're publishing Industry Guides for the four sectors where AI's impact is most visible right now: Software, Finance, Sales, and Marketing. These guides provide a first look at how each industry is being reshaped, identifying which traditional roles are holding steady and which are beginning to compress.
Each industry features Career Deep Dives. Where we provide a complete view of your role's 'AI-proof' potential. Including expert quotes from leaders in the field, a data-driven resilience score, and a task-by-task breakdown using 1 million+ real-world AI interactions from the Anthropic Economic Index. We’ve also built transition maps for every occupation, showing you the exact skills you need to pivot into emerging, AI-native roles within your sector.
Automation is hitting the execution layer hardest. Developers who own architecture and system design are holding up better.
Basic reconciliation and data entry are being automated. The more durable roles focus on complex risk modeling, tax strategy, and high-stakes advisory.
Transactional outreach is being commoditized. Resilience is found in high-stakes negotiation, complex contract structures, and long-cycle trust building.
Content production is getting faster and cheaper. Roles owning the 'why' are more resilient. Focus on attribution modeling, cross-channel strategy, and brand differentiation.
The question everyone asks is “will AI take my job?” But that misses the nuance. Labor economists Erik Brynjolfsson and Tom Mitchell highlighted in Science that AI doesn’t replace jobs, it replaces tasks. Very few occupations will be fully automated, but almost every occupation will be significantly restructured as individual tasks within them are handed off to machines.
We use this Task-Based Approach to help you navigate how your role is shifting in real-time, not just find a new job. Every career page breaks down the occupation activity-by-activity, using data from the Anthropic Economic Index - sourced from 1 million+ real-world AI interactions.
AI automates when it handles the output end-to-end. It augments when it acts as a co-pilot, requiring human oversight.
The data consistently shows: tasks that involve generating, calculating, or researching known information are heavily automated. Tasks that involve supervising people, making judgment calls, and conferring on complex design decisions show practically no AI signal.
Knowing the precise line where automation stops unlocks a new kind of career strategy. It allows for Skill Arbitrage: using AI to compress your routine, research-heavy tasks so you can double down on the high-value judgment calls that AI cannot touch. By focusing your skill-building on the "resilience core" of your profession, you stop competing with the machine and start directing it.
As roles evolve, new ones are emerging alongside them, often in places people aren’t looking. Our approach is simple: the more you can see, the more options you have. So, every career page also includes a transition map with emerging AI-native roles, and the skills you need to pivot into them. Here's just a few examples from the industries we cover:
A mid-to-senior role focused on 'red-teaming' proprietary models for bias and hallucinations while preparing for high-stakes audits and risk-management compliance.
Navigates high-stakes privacy hurdles by creating 'synthetic' datasets that mimic the statistical properties of real financial transactions without exposing sensitive PII.
Deconstructs call data and email sentiment at scale to build a predictive 'ground truth' of why deals close, moving beyond traditional CRM guesswork.
The evolution of SEO. GEOs optimize content to be reliably cited by LLMs (ChatGPT, Gemini) as the authoritative answer for specific user intents.
This resource is free and open to everyone. The people who need it most shouldn't need a career coach to get clear information. That's why your feedback on the data matters. There's a "Give Feedback" button on every career page. The data we work from can tell us a lot, but it can't tell us what's happening in your specific role, at your specific company, this month.
So please reach out if you have suggestions or real stories. Real-world signal is what makes this project useful. Thanks for being part of it.