AI Impacted Your Job. Here’s How to Get a Better One.

Greta Schneider
Jul 15
3 min read

Updated: Jul 15

Feeling stuck after your job was impacted by AI? You’re not alone. You're not out of options either.

Person staring into colorful path — Staring Into a Colorful Pathway

Over the past year, we’ve watched AI move from behind the scenes to front and center in many industries. If you work in admin, marketing, design, customer service, or even tech roles, you might already be seeing the signs:

Job postings that used to fit you perfectly are gone
Tasks you owned are now automated
The roles you thought were safe feel less secure

And if you were recently laid off or passed over for new opportunities, it might be hitting even harder.

Which Jobs Have Been Impacted by AI?

AI has taken over the kind of work that is repetitive, predictable, or heavily templated. That includes things like scheduling meetings, writing product blurbs, making social media posts, or fixing basic bugs. Companies are using tools that can do those jobs faster and cheaper.

This includes:

Executive and Admin Assistants
Content Writers and Copy Editors
Social Media Coordinators
Graphic Designers working in templates
Customer Support Reps
QA Testers and Junior Developers
Entry-level Data Analysts

If it feels like the bottom has dropped out. That’s because it kind of has. But here’s the good news: work is not disappearing. It’s just changing.

Where the Jobs Are Going

Even as AI replaces some tasks, it’s creating demand in new areas. Roles that require strategy, creativity, people skills, and critical thinking. AI tools still need humans to guide the vision, design the systems, and connect with customers.

Here are just a few examples of where demand is growing:

Project Coordinators and Operations Analysts
Content Strategists and SEO Specialists
UX and Product Designers
Marketing Automation and CRM Specialists
AI Prompt Creators and Chatbot Trainers
DevOps Assistants and MLOps Support
Data Engineers and AI Governance Leads

These roles build on what you already know, they just require a few new tools and a slightly different mindset.

Skills That Help You Stay Ahead

You don’t need to become a machine learning engineer to stay relevant. But you do need to get comfortable working with AI instead of trying to compete against it.

Some skills to focus on:

AI tools like ChatGPT, Canva, Jasper, Midjourney, Notion AI
Marketing platforms like HubSpot, Salesforce, Mailchimp
Project management tools like Asana, Trello, Notion
Basic data skills and dashboards (Google Analytics, Looker Studio)
UX research, SEO, content performance tracking
Strategic writing and prompt creation
Human-centered thinking and storytelling

What matters most is your ability to adapt, learn quickly, and bring a point of view that AI cannot replicate.

You’re Not Starting Over, You’re Repositioning

You already have valuable experience. The key is to reposition that experience to fit where the job market is heading.

If you’ve worked in admin, lean into ops and workflow management
If you’ve created content, look into SEO or AI-enhanced storytelling
If you’ve supported customers, pivot into user experience or chatbot training
If you’ve done entry-level coding, build toward systems thinking or DevOps

Think of this as a rebrand, not a restart.

What You Can Do Right No

You don’t need a new degree to make a move. Here are five practical steps you can take:

Reflect on what you do best and what AI can’t do for you
Choose a path that builds on your strengths
Take a course or microcredential to bridge the gap
Update your resume and LinkedIn to reflect where you're going
Start applying or freelancing to build new proof points

And remember: your value is not in being a machine. Your value is in being the person who understands what matters, sees patterns, makes decisions, and builds real connections.