This Is Our New Reality: AI Isn’t Just Taking Jobs—It’s Creating New Ways to Work
- Carl Fransen

- Oct 28
- 3 min read
The rise of artificial intelligence is no longer a distant future—it’s here, reshaping industries, workflows, and careers. According to the International Labour Organization [1], while AI may fully automate only about 2.3% of jobs globally, its impact is concentrated in certain roles, especially clerical support, where up to 58% of tasks are moderately exposed to automation.
Just today, Amazon just announced a cutting of 14,000 jobs. And why? AI. Amazon confirms massive job losses in corporate division
A paradigm is a mindset on how you see the world. I would like to offer a paradigm that could help others navigate this changes. This isn’t a jobs apocalypse. It’s a transformation. And with transformation comes opportunity.

AI Takes Tasks, Not Talent
AI excels at repetitive, data-heavy, and rule-based tasks. But it doesn’t replace creativity, strategy, or human connection. Instead, it frees up time and mental bandwidth for people to do what they do best—think, create, and lead.
Let’s look at how this plays out in real-world roles:
Copywriters: From Creators to Creative Directors
A copywriter today can use AI tools like ChatGPT, Jasper, or Copy.ai to generate first drafts, brainstorm taglines, or even localize content across languages. But the magic still lies in the human touch—refining tone, aligning with brand voice, and crafting narratives that resonate.
New workflow example:
Use your network to gather client briefs.
Run AI tools to generate multiple content options.
Review, refine, and deliver polished work faster than ever.
Result: You’re not just writing—you’re managing more clients, scaling your output, and elevating your role to strategist.
Analysts: From Data Crunchers to Insight Architects
Data analysts can now use AI to automate data cleaning, run predictive models, and visualize trends. Tools like Power BI with Copilot, Tableau GPT, or even Excel’s AI features allow analysts to handle larger datasets with less manual effort.
New workflow example:
Use AI to process and summarize massive datasets.
Focus your time on interpreting results and advising stakeholders.
Take on more projects without burning out.
Result: You’re not just analyzing—you’re influencing decisions at scale.
Customer Service Agents: From Script Readers to Experience Designers
AI chatbots handle routine queries, but human agents are still essential for complex issues and emotional intelligence. With AI summarizing customer histories and suggesting responses, agents can focus on empathy and resolution.
New workflow example:
Let AI triage and prep customer interactions.
Step in for high-value or sensitive cases.
Use AI insights to improve service strategies.
Result: You’re not just answering calls—you’re shaping customer loyalty.
Displaced Workers: From Uncertainty to Empowerment
For those whose roles are being phased out, AI offers a toolkit to reinvent themselves:
Administrative professionals can pivot to virtual assistant roles, using AI to manage calendars, emails, and task automation.
Retail workers can transition into e-commerce support, using AI to manage inventory, customer queries, and product listings.
Factory workers can retrain in AI-assisted maintenance or quality control, where human oversight is still critical.
Platforms like Coursera, LinkedIn Learning, and Khan Academy now offer AI-powered learning paths tailored to emerging roles. And with tools like Copilot, even non-technical users can start building workflows, automating tasks, and creating value.
This Is Our New Reality—And It’s Full of Possibility
AI is not the end of work. It’s the beginning of a new kind of work—more strategic, more creative, and more human. The challenge isn’t just to reskill, but to rethink what we do and how we do it.
So whether you’re a copywriter, analyst, or someone navigating change, the question isn’t “Will AI take my job?” It’s “How can I use AI to do more, better?”
References
[1] unric.org






