Marie-Claire AssekoFrom entry-level jobs disappearing to new roles being created, AI is changing the workplace/job market in expected but also unexpected ways. This series aims to address some of those changes.
Well, you don’t need to be “technical” to ride that wave. ⬇️⬇️⬇️
According to the Future of Jobs Report 2025 from the World Economic Forum, you can count among the top 10 fastest growing skills by 2030, with their actual rankings:
3️⃣ Technological literacy
4️⃣ Creative thinking
5️⃣ Resilience, flexibility, and energy
6️⃣ Curiosity, and lifelong learning (my personal favourite)
This means that there’s room for everyone 🤩 to carve out a path for their professional development in the AI world…if we’re willing and courageous enough to try 😌
There are areas of AI that people without technical degrees can leverage to advance their careers.
I believe that by investing resources (time, energy or money), anyone can grasp these essential AI concepts that they can then apply their own areas of expertise to. Here a few of my suggestions below 🤓
📌You can also take this 5-minute quiz to see which blind spots are holding you back — and what to do about it.
📌 Try this AI Fluency quiz to assess where you stand regarding your utilization of AI and to know which three specific AI concepts you should focus on mastering! 🤓
✨Make AI Your Ally Even if You’re Not a “Techie”
1. Prompt Engineering and Optimization
In my opinion, those who will be able to get better and better results in decreasingly amount of time or prompts will have the upper hand in the next 3 to 10 years. Vibe-coding is just an example of how this skill can be useful! You need to:
- Master advanced prompting techniques for GPT, Claude, and other models.
- Develop systematic approaches to extract optimal outputs.
Stat: The average salary for a Prompt Engineer is $88,760 per year in Canada. With a range of $64K to $103K/yr. Glassdoor
📌 The kicker: Requires understanding of model behavior patterns, not coding. 😏
2. AI Product Strategy and Implementation
Your organizational knowledge and your expertise can guide your organization through AI transformation projects.
AI can factually know about legacy systems, technical debts and the company’s roadmap but ⚠️ it can’t understand the subtle nuances that connect these areas to one another. Therefore you can:
- Guide organizations through AI adoption without technical implementation.
- Identify use cases, assess ROI, design AI-based or AI-driven workflows.
Stat: The average salary for an AI Strategy Lead is $115K per year in Canada. With a range of $97K to $137K/yr. Glassdoor
📌 The kicker: Focuses on business process mapping and change management. 🔁
3. AI Training Data Curation and Quality Control
- Specialize in dataset preparation, annotation, and bias detection.
⚠️This field in particular is growing because the quality of a model output, its training and basically its development depends highly on the quality and accuracy of the data it was trained on.
Therefore, data annotators/labelers focus on meticulously labeling or annotating data (like images, text, or audio), and ensuring its quality to create high-quality datasets for machine learning models.
Stat: The average salary for a Data Annotator in the United states varies between $70K and $90K per year. Labelvisor
📌 The kicker: Requires domain expertise and attention to detail, not programming skills. 😉
📌Use our 5-minute self-assessment quiz to understand where you are at in your career and how you can unblock the way forward!
4. AI Ethics and Governance
- Navigate regulatory compliance, bias mitigation, and responsible AI deployment.
⚠️This field is becoming critical as companies face increasing scrutiny and AI use cases are expanding faster and faster
Stat: Wages vary greatly from $150K to 300K with highly regulated high-stakes industries like healthcare and finance typically paying more to protect themselves from reputational risks around AI abuse. Tech Jack Solutions
📌 The kicker: Requires a background in policy, law, or ethics and/or solid foundations in risk management and compliance. ⚖️
5. AI-Powered Content Creation and Marketing
Creating content has never been easier! It might be tempting to think that it’s then useless to focus on that skillset but rest assured: outside of the tech bubble, a lot of folks are still using traditional tools to produce marketing material.
⚠️They still waste time creating, editing and optimizing text, video and voice content. You can really make a difference in their businesses if you learn and lend these skills to them!
Simply put, content strategists who integrate AI in their workflows can enhance efficiency, creativity, and strategic output. To tap into that market you could for instance learn how to:
- Scale content production using AI tools.
- Train AI tools in understanding and maintaining quality and brand voice.
Stat: A job listing for a content strategist at OpenAI came with a pay package that rivaled senior engineering roles: US$310K to US$393K in base salary plus equity 🤯😱 While Glassdoor data shows that the average US content strategist earns about US$92K. Business Insider
📌 The kicker: Requires to master tools like Jasper, Copy.ai, Midjourney, Canva, Descript, etc.
6. AI Sales and Customer Success
- Sell AI solutions to enterprises.
Being great at sales and customer service involves a combination of soft and hard skills like active listening, empathy, communication, resilience, adaptability, problem-solving, and strong product knowledge. ⚠️There’s no AI development knowledge needed!
Stat: The estimated total pay for a Technical Sales Representative is $76,481 per year in the Montreal area, with an average salary of $58,756 per year. Glassdoor
📌 The kicker: Requires understanding AI capabilities and business applications, not development skills.
7. No-Code AI Application Development
Remember how I mentioned vibe-coding? Well, it’s a whole new field of work! ⚠️Now, non-engineers can:
- Build AI-powered applications using platforms like Zapier, Bubble, or Retool.
- Create solutions without traditional programming.
Stat: Wages are anywhere between US$50 to US$350 per hour for custom AI integrations. The average price for AI development services typically hovers around US$250 per hour. Fiverr
📌 The kicker: Requires to learn the specifics of vibe-coding. 🏄♀️ Potentially through a bootcamp to speed up learning.
📌Use our 5-minute self-assessment quiz to understand where you are at in your career and how you can unblock the way forward!
TL;DR — How to: Use AI to Change Your Career
To unlock AI’s potential to change their careers, women should adopt the right tools, language, and mindset shifts. It’s about making AI their ally even if they’re not “techies”:
- Invest time, money and energy into understanding the key building blocks of AI technologies.
- Connect these concepts to their own area of expertise to define how their skills can augment AI’s development or utilization’s inputs/outputs.
Hopefully these pivot ideas will help you to shift your path successfully in the workplace or in the job market 😎
