AI job disruption: 5 steps to future-proof your career
3 lies and 5 practical suggestions on how to navigate the biggest workplace transformation in decades.
Anthropic CEO Dario Amodei came out guns blazing last week, warning that we're looking down the barrel of significant unemployment numbers in the next 1-5 years. It was a big story this week, perfect for us to all write think pieces about.
Sound alarmist? Maybe. But even if he's half right, a lot of people are going to need a plan.
Between geopolitical chaos, an unpredictable administration reshaping government, and AI advancing faster than ever, the job market is feeling weird.
The truth is that no one has a crystal ball and we don’t know what’s going to happen with AI or jobs. But after a year of digging into "What will work look like after AI?", here's what I've learned.
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3 lies we’re telling ourselves
Lie #1: "AI won't replace you, humans with AI will"
Sure, new jobs will emerge. But they'll require different skills and mindsets than we need for our current jobs. It's not a straight swap (like accountant to AI-assisted accountant). It's more like accountant to... something we haven't invented yet.
Lie #2: "We've survived tech revolutions before"
A lot of techno enthusiasts reference the Industrial Revolution and how humanity adapted just fine. What they don't mention: it took 50+ years and caused genuine suffering. Entire generations never recovered economically.
Lie #3: "Universal Basic Income will solve everything"
Tech people love to trot this one out. But are we getting UBI from the same governments that took decades to figure out social media regulation?
The companies profiting most from AI automation are also the ones minimizing their taxes. Counting on tech billionaires to voluntarily share their AI windfall isn't a reliable strategy.
Move from panic to action
The current advice ignores how fast this disruption is happening, and how different it is from past changes. Instead of hoping for the best, here's are a few practical approaches that acknowledge the reality we're facing.
Step 1: Check your risk level
Spend 10 minutes on Anthropic's Economic Index. Look up your job and see which tasks are "highly automatable." If you do a lot of data entry, basic reporting, or routine scheduling, for instance, you're exposed. Manufacturing, food service, and transportation jobs are most at risk, along with routine office work.
Step 2: Build complementary skills
AI can crunch numbers but can't read a room or navigate delicate conversations (yet). Most people agree that human skills are what employers will pay for in 2030.
Pick a course that hones these skills and block out 30 minutes a week to take a course. Within a month, you'll have a certificate and concrete resume examples.
Step 3: Embrace AI tools
As futurist Sinead Bovell puts it: "Refusing to use AI is like refusing to use electricity." Even if AI can't save your current job, it'll help you find the next one.
Start simple: ChatGPT for research summaries, Copilot for writing tasks, or AI spreadsheet add-ons for data cleanup. Track your wins and share them with your team. Become an AI champion, as these skills will be baseline pretty soon.
Step 4: Target growth areas
Look for sectors that are growing with AI: healthcare (nursing and therapy alongside AI diagnostics), renewable energy (solar/wind technicians), and STEM research (data annotation and machine learning operations).
Care-oriented jobs resist automation best—think nursing, therapy, strategy, and high-level project management.
A marketing analyst can become an AI content strategist. A customer support lead can train as a conversational AI specialist. Search for growth area jobs on job boards and see what qualifications keep showing up.
Step 5: Get involved in the conversation
Systemic change matters. Workers and unions are already pushing back:
CUPE secured worker protections in Canada's AI/Data Act.
Writers Guild and SAG-AFTRA banned using performers' work to train AI without consent or compensation.
Canada’s 2024 budget earmarked $50 million for AI-disrupted sectors.
My hope is that in Canada, where I live, our new AI minister Evan Soloman is planning beyond giving tax credits for large corporations to adopt AI. I hope he pushes AI regulations forward.
Note: I reported that Liberal party candidate Mark Carney didn’t have much of an AI game plan in his platform, but he later released one.
If you want a say in how Canada approaches AI, you can reach out to Solomon here.
When you pair advocacy with personal upskilling, you're steering your own ship.
Your next move
The real question isn't "Will AI take my job?" It's "What will humans do for work in 10 years, and how do I get ready?"
Focus on what you can control in the next 18 months and test new ideas while you have a safety net. Small, consistent steps towards new income streams.
The people who'll thrive in this transition are the ones who start adapting while everyone else debates whether they needed to.
AI in the news
Meta to let brands create, target AI fully by end of 2026, report says (Investopedia) Meta is developing advanced AI advertising tools that would enable brands to automatically generate complete advertisements by late 2025. The Wall Street Journal reports that these tools will allow companies to create all components of their ads through artificial intelligence (visual elements, video content, and written copy) while also handling the targeting process.
‘One day I overheard my boss saying: just put it in ChatGPT’: the workers who lost their jobs to AI (The Guardian) Real people talk about how it feels to be replaced by a bot in their own words.
The New York Times’ first generative AI deal is with Amazon (The Verge) Last Thursday, The New York Times announced a multi-year partnership with Amazon that grants the tech giant access to its editorial content across Amazon's customer platforms. Amazon can now use Times articles in its products like Alexa, showing customers short summaries and excerpts from the newspaper's stories. Amazon will also use these articles to help improve its AI technology.
Salesforce Says AI Has Reduced Hiring of Engineers and Customer Service Workers (Yahoo) Salesforce says it's hiring fewer people because it's using AI tools to do work that employees used to handle.
Thank you for this! You're doing the Lord's work :)
Even I’ve been overly optimistic about how this was gonna go. It’s also now baked into every application, so even if people are avoiding it for ethical reasons they’ll soon have no choice, but to use it through whatever their place of work provides them.