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Invent a Role That Doesn’t Exist Yet

Shehara Mar 31, 2026 6 min read

Spot emerging gaps that AI creates in workplaces and communities, then design a viable role to fill them—complete with service offerings and revenue model.

Intermediate Claude 30 Minutes Career Innovation Entrepreneurship

World Economic Forum — Future of Jobs Report 2025

92M

roles displaced

→

170M

new roles created

=

+78M

net new jobs by 2030

Note: The WEF 2023 report previously predicted a net decrease of 14 million jobs, but newer 2025 findings suggest a more positive, transformative outlook as generative AI accelerates. Read the report →

This experiment will help you design one of those 78 million potential new roles.

What You’ll Do

  • Identify translation, trust, and human connection gaps
  • Design a role that bridges one of them
  • Figure out who would pay for it
  • Create a service offering you could test

What You’ll Learn

  • How AI creates new job categories
  • The three gaps AI consistently creates
  • How to spot opportunities in your field
  • How to package a capability into a paid service

What You Need

  • Claude or ChatGPT (free version)
  • 30 minutes
  • Awareness of a field you understand
  • Willingness to think like an entrepreneur

Why This Matters

AI doesn’t just take jobs. It creates gaps. Every time AI automates something, it creates new needs: someone to translate between technical AI and non-technical users, someone to build trust in AI systems people are afraid of, someone to preserve the human elements AI can’t replicate.

These gaps are opportunities. And many of them don’t require technical degrees — they require domain knowledge + basic AI literacy + empathy.

The Three Gaps AI Creates

GAP 1

The Translation Gap

The space between “AI can do this” and “people actually using it effectively.”

Roles this creates

  • AI literacy educators for specific industries
  • Prompt engineering consultants
  • AI tool implementation specialists
  • “AI translators” for non-technical teams

Who pays

  • Companies adopting AI
  • Professional associations
  • Educational institutions
  • Confused individuals
GAP 2

The Trust Gap

The anxiety, fear, and resistance people feel toward AI.

Roles this creates

  • AI ethics consultants
  • “AI therapists” for job displacement anxiety
  • AI bias auditors
  • Human-centred AI experience designers

Who pays

  • Companies worried about employee morale
  • Nonprofits serving vulnerable populations
  • HR departments
  • Individuals navigating career transitions
GAP 3

The Human Connection Gap

The things AI automates that we realise we actually valued — judgment, relationships, creativity, empathy.

Roles this creates

  • “Human experience designers”
  • Relationship managers for AI-mediated services
  • Creative directors for AI-generated content
  • Community builders in automated industries

Who pays

  • Companies realising automation lost something
  • Customers paying premium for human touch
  • Industries trying to differentiate

The Experiment: Four-Part Role Invention Process

1
Spot Your Gap 10 minutes

Pick an industry, profession, or community you actually understand. Then use this prompt to have Claude identify the specific gaps it’s creating:

Step 1 Prompt — Find Your Gap 
I understand [industry/community]. I've noticed AI is changing [specific ways it's changing].

Help me identify 5 specific gaps this creates — problems people will face or needs that will emerge. Focus on translation gaps, trust gaps, or human connection gaps.

Be concrete. Not "people will need help" but "small business owners will need someone to..."

Once you have your list, pick the gap that feels real based on what you’ve seen, affects people you care about, and matches capabilities you have or could build.

2
Design Your Role 10 minutes

Take the gap you chose and use Claude to define what filling it would actually look like day-to-day.

Step 2 Prompt — Define Your Role 
I want to fill this gap: [the gap you chose]

Help me design a role. Specifically:

1. What would I actually DO day-to-day?
2. What capabilities would I need? (Be honest about what I'd need to learn)
3. Who specifically would I serve? (Get more specific than "businesses" or "people")
4. What would I call this role?
5. How is this different from existing jobs?

Be realistic about what one person could actually deliver.

Once you have a picture of the role, follow up with: “Does this role make sense? What am I missing? What would make this fail?” — then adjust based on what you hear.

3
Package Your Service 7 minutes

Turn the role into 2–3 specific services with real deliverables and pricing.

Step 3 Prompt — Create Your Offering 
Turn this role into 2-3 specific services I could sell.

For each service:
1. What's the deliverable?
2. How long does it take?
3. What would I charge? (Give me market comparisons)
4. Who's my first customer likely to be?

Make these concrete enough that I could test them next month.
4
Validate and Launch 3 minutes

Plan the smallest, fastest way to find out if people will actually pay for this.

Step 4 Prompt — 30-Day Validation Plan 
I want to test if people will actually pay for this. What's the smallest, fastest way to validate demand?

Consider:
- Who in my network has this problem?
- Where do these people hang out online?
- What could I offer for free or cheap to prove value?
- How do I get my first paying customer in 30 days?

Give me a concrete 30-day validation plan.

Real Examples of Roles People Invented

AI Prompt Consultant for Healthcare

Gap: Doctors wanted to use AI but didn’t know how to prompt it for medical contexts.

Revenue: $150/hour training  ·  $3,000 workshop packages for clinics

AI Literacy Educator for Seniors

Gap: Older adults felt left behind by AI, feared it, and didn’t know how to benefit from it.

Revenue: $500–$1,500 per workshop  ·  curriculum licensing

Human Touch Curator for AI-Generated Content

Gap: Marketing teams using AI but content felt robotic and off-brand.

Revenue: $75–$125/hour  ·  retainer clients

Common pattern: Domain knowledge + basic AI literacy + solving a real problem = viable role.

You don’t need

  • A computer science degree
  • To build the AI tools yourself
  • Millions in funding
  • Permission from anyone

You DO need

  • A real gap from lived experience
  • Basic AI literacy (you’re building it now)
  • Willingness to start small and iterate
  • Ability to explain value to people who need it

Key Takeaway

  • AI is creating jobs faster than it’s eliminating them — but these new jobs don’t have traditional names or postings yet. You have to invent them.
  • The roles that pay best bridge the gap between AI capability and human need, require both domain expertise and AI understanding, and serve communities mainstream tech ignores.
  • You just designed one. Now test it.

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