Inspired by two podcasts on AI and the future of work.

Artificial intelligence is no longer just a support tool. Today, there are agents capable of browsing the web, generating audiovisual content, and executing complex tasks without human supervision.

This shift not only transforms industries: it redefines which tasks remain human, which roles will disappear, and how we must prepare to stay relevant.

Will AI eliminate all jobs?

Yes, but not in the way you think.

AI will completely transform the job market: it will destroy some jobs, change many, and create new ones.

This post is a navigation map for those who don’t want to be left behind.

1. Anything repeatable will be automated

Operational and predictable tasks (like support, data entry, or basic coordination) are being absorbed by autonomous agents.

In many startups, this is already evident: companies are scaling without hiring, thanks to automation.

But automating doesn’t mean losing jobs, it means redirecting human effort to what AI still can’t do.

📝 Suggestions

• Identify repetitive tasks and consider delegating them to AI tools.

• Don’t hide your automations: use them to demonstrate improvements in quality or speed.

• Focus on higher-value tasks: strategy, creativity, design, relationships.

2. Knowing how to do is not enough: knowing how to integrate matters

Today’s critical skill isn’t just execution, it’s the ability to combine human judgment with automated tools.

Just like the mechanical loom (automation), the slide rule (speed), or the crane (capacity) in their time, AI is a lever: it delegates, accelerates, and amplifies how work gets done.

📝 Suggestions

• Learn to use an AI tool aligned with your work or industry.

• Design small hybrid workflows between human + AI.

• Practice critical review: it’s not just about using AI, but enhancing it with your judgment.

3. Automating isn’t betraying your role: it’s redesigning it

People once thought Excel would eliminate accountants. The opposite happened: their role became more sophisticated.
The same could happen with designers, marketers, writers, or project managers.

What gets replaced is not the person, but the old way of doing things.

📝 Suggestions

• Identify tasks that don’t require human judgment. Automate them.

• Redefine your contribution: what part of your work is uniquely human?

• Show how automation doesn’t reduce value, it multiplies it.

4. Change isn’t linear: it’s cyclical and accelerated

The job market shifts every 2 to 3 years. In this new pace, being adaptable is safer than specializing too early.

AI enables no-code software creation, content generation without cameras or editors, problem-solving without large teams. The talent of the future will learn, integrate, and reconnect knowledge based on context.

📝 Suggestions

• Every quarter, try a new tool or technique.

• Maintain a side project as a space for testing and learning.

• Anticipate change: waiting is no longer an option.

5. Creating is safer than just executing

AI still can’t propose directions, spot opportunities, or create meaning.
Humans will continue working (even with universal basic income) for deeper reasons: status, purpose, connection, curiosity.

📝 Suggestions

• Pitch ideas even if no one asks. Iterate. Test.

• Document what you learn and share it: teaching is the new positioning.

• Create your “experiment portfolio”: a newsletter, channel, app, course, or community.

6. Your attention, identity, and judgment matter more than ever

In an environment full of deepfakes and AI-generated content, the real value lies in filtering, interpreting, and deciding.

More than ever, protecting your attention and focus becomes a strategic decision.

📝 Suggestions

• Enable verification, use password managers, and protect your digital identity.

• Define real focus blocks. Avoid extreme multitasking.

• Use AI as a curator, not as a content overload machine.

7. Adapting alone isn’t enough

AI can do many things, but it can’t replace a creative, trustworthy, and collaborative human network. Real relationships are your most valuable professional capital.

📝 Suggestions

• Invest time in non-transactional relationships.

• Join real conversation spaces (circles, coworking spaces, communities).

• Collaborate even if it’s not immediately profitable: it’s adaptability training.

How to Start — 100 Practical Use Cases for ChatGPT

Talking about adapting is good, but applying it is even better.

That’s why we’re closing this guide with a curated list of 100 concrete ways to use ChatGPT in your work, projects, or daily life.

From personal productivity to business, content creation, technical analysis, and collaboration:

🧠 Productivity & Personal Organization

• Daily planner for tasks and schedules

• Weekly/monthly goal tracking

• Email drafts from rough ideas

• Meeting summaries with key actions

• Personalized travel itineraries

• Weekly meal planning with shopping list

• Habit-building or breaking strategies

• Budgeting and financial organization tips

• Language practice through simulated dialogues

• Personal style assistant for outfits

✍️ Creativity & Content Generation

• Blog article outlines

• Social media titles and descriptions

• Persuasive ad copy

• Brainstorming stories, characters, plots

• Poetry or song lyrics in different styles

• Scripts for YouTube or TikTok videos

• Newsletter content

• Podcast episode notes

• Visual descriptions for designers or image AIs

• Presentation and pitch deck structures

📈 Business & Marketing

• Market and trend analysis

• Ideal customer profile creation

• SEO keyword lists

• Press release writing

• Sales email sequences

• Advertising campaign strategies

• Product or brand name ideas

• Brand voice and tone guides

• SWOT analysis of businesses or projects

• Client success story writing

💻 Tech Support & Programming

• Code snippet generation

• Help with debugging

• Guide to integrating popular APIs

• Complex algorithm explanation in simple terms

• Unit test templates

• DevOps automation scripts

• SQL or pandas queries for data processing

• Technical architecture diagrams

• Tech stack recommendations

• Cybersecurity best practices

📚 Education & Learning

• Academic topic explanations by level

• Quiz or exercise generation

• Step-by-step problem solving

• Foreign language text correction

• Flashcards for memorization

• Essay or assignment outlines

• Step-by-step programming tutoring

• Historical timelines

• Lab report templates

• Speaker notes for presentations

🔍 Research & Analysis

• Academic paper summaries

• Data or chart interpretation

• Source or bibliography suggestions

• Effective survey design

• Research hypothesis generation

• Competitor mapping in a sector

• Project risk evaluation

• Public policy summaries

• Funding proposal drafts

• Statistical method recommendations

🛎️ Customer Support & Operations

• FAQ creation

• Ticket response writing

• Chatbot scripts

• Onboarding manuals for users or employees

• Internal process documentation

• KPI dashboard ideas

• Inventory optimization tips

• Supplier selection criteria

• Incident report templates

• SLA (Service Level Agreement) templates

🌱 Health, Wellness & Lifestyle

• Personalized workout routines

• Guided meditation scripts

• Nutritional analysis of meals

• Sleep improvement tips

• Journaling and mental health prompts

• DIY or repair project guides

• Gardening plans by climate and space

• Event or celebration checklists

• Recipe adaptations for dietary restrictions

• Pet care and training tips

🔬 Specialized & Emerging

• Legal document drafts (for review later)

• Medical article summaries (non-clinical)

• Basic financial models

• Real estate investment evaluation

• UX interview or user testing scripts

• Web accessibility audits

• Commands for robots or simulators

• Biomedical educational material

• AI ethics principles

• Goal-setting for autonomous agents (Auto-GPT)

🤝 Collaboration & Teamwork

• Brainstorming workshop guides

• Retrospective meeting agendas

• Simulated tough client conversations

• Conflict resolution language

• Team-building activities

• Effective intercultural communication

• RACI matrices and governance frameworks

• Innovation or product development roadmaps

• Stakeholder update drafts

• Internal wiki or knowledge base articles

Conclusion

AI has already changed the rules of the game.
It’s not about resisting change, it’s about learning to move with it.

Those who experiment, adapt, and take initiative will have more opportunities than ever.