MyJobVsAI Press Kit
The first platform that transforms AI anxiety into actionable timelines
PDF : Dossier complet • ZIP : Logos + Screenshots + Vidéos
2029? When will AI take your job?
Before writing about MyJobVsAI, ask yourself this question: When will AI automate YOUR profession?
According to our analysis combining 7 major studies (MIT, McKinsey, WEF, Goldman Sachs, PwC, Bain, Morgan Stanley) and the O*NET v30.0 database (1,000+ occupations):
- Early wave (2026): automation of repetitive tasks; massive disappearance of junior positions; reduced marginal cost of content production.
- Mid wave (2029): productivity multiplied by 3 to 5 thanks to advanced AI; humans focus on verification and ethics.
- Late wave (2035): extinction of mass journalism; survival of specialized experts and creators.
👉 Test MyJobVsAI (2 min): myjobvsai.com
⚠️The Whistleblowers Are Already Here
The most influential tech leaders converge on one point: the 2025–2035 decade will be that of mass automation.
Bill Gates
"The next decade will see AI automate a large part of human tasks."
Sam Altman
"We could see AI automate nearly 40% of jobs by 2030."
Dario Amodei (CEO Anthropic)
"Up to 50% of young people's jobs could disappear by 2030."
These warnings do not describe a distant future: they define your professional horizon.
📉The Problem: Anxiety Without Concrete Answers
The data converges:
- •71% of Americans fear AI will destroy too many jobs (Reuters/Ipsos 2025)
- •By 2030, up to 30% of working hours could be automated (McKinsey, Generative AI and the Future of Work in America)
- •39% of current skills will become obsolete by 2030 (WEF 2025)
"In how long will MY job be impacted?"
Result: a feeling of anxiety... without an action calendar. Scores don't change anything. A time window does.
⚡The Solution: Impact Windows, Not Scores
MyJobVsAI transforms an abstract risk into an actionable timeline:
Early / Mid / Late Waves Position
Personalized impact window
90-day action plan
🧠How does it work?
Smart quiz — 2 minutes
- • Precise occupation (1,000+ O*NET v30.0 occupations)
- • Experience level
- • Daily tasks
- • Current AI usage
Personalized impact window
- • Early / Mid / Late
- • Time interval (e.g.: 2029–2032)
- • Vulnerability analysis
- • Recommendations to delay impact by up to +5 years
Viral TikTok / Instagram video
- • 9 video emotions
- • 12 to 40 seconds
- • Automatic comparison between friends
- • Goal: native virality
Premium Report
- • 90-day roadmap
- • Skills to develop
- • AI tool recommendations
- • Detailed analysis by phase (Early→Late)
- • Free if quiz shared with 5 friends
🎯Our Differentiation
| Criteria | Classic approaches | MyJobVsAI |
|---|---|---|
| Result format | Abstract score | Time window |
| Sharing | Static image | Viral video |
| Engagement | One-shot | Social challenge |
| Action | No plan | 90-day roadmap |
🔬Methodology
Sources: WEF, McKinsey, Goldman Sachs, PwC, MIT, Bain & Company, Morgan Stanley + O*NET v30.0 database.
Proprietary algorithm:
- Job Vulnerability Score (0–100)
- Mapping to 3 temporal waves
- 20 sectoral adjustments
- AI double validation (Claude / ChatGPT / Gemini)
Quarterly updates.
👉 Full details in APPENDIX.
👤Mahé Cornillon — Founder
As a developer then CTO, I witnessed AI transform my own profession before anyone else: my team shrank, my productivity tripled, and my friends — finance, design, marketing — lived the same shifts.
I wanted a simple answer: Who will be impacted, and when? MyJobVsAI was born from this evidence.
Vision: to become the reference for anticipating AI's impact on careers.
📞Press Contact
Social Networks:
🧵 X / Twitter — 📸 Instagram — 💼 LinkedIn: @myjobvsai
FAQ — 4 Essential Questions
1️⃣How can you predict a precise time window?
We don't "predict," we model a realistic trajectory.
Studies (McKinsey, WEF, Goldman Sachs) indicate what is automatable. We add when it will become so, based on sectoral adoption speed and your individual profile.
Our algorithm establishes a median tipping point, based on 7 major studies, the O*NET database, and AI cross-validation.
This is not a prophecy: it's an action horizon.
2️⃣Isn't it anxiety-inducing to give a precise window?
No, on the contrary: it's liberating.
Anxiety is born from vagueness, not clarity. Knowing your job is exposed between 2029 and 2032 means having a deadline — and therefore a concrete action plan.
Clarity allows you to anticipate, train, and transform constraint into opportunity.
3️⃣Why did journalists test first?
Because it's a meta validation.
Those who write about AI are the first concerned: understanding their own impact window helps them better tell others' stories.
Test MyJobVsAI. Discover your window, then write from your own experience.
4️⃣Are you making money from anxiety?
No. We monetize action, not fear.
80% of the platform is free:
- Complete quiz
- AI impact window
- Unlimited social challenge
Only the detailed action plan (90-day premium report at $14.99) is paid — and it becomes free as soon as you share the quiz with your friends.
Our mission: transform vague anxiety into measurable and actionable clarity.
📚📚 METHODOLOGY APPENDIX
How we calculate AI impact windows
Our approach combines 7 major studies, the O*NET database (~1,000 occupations), and cross-validation by multiple AI models to estimate when an occupation is most likely to be impacted. This is an action horizon, not a prophecy.
1) Timeline in 3 waves (consistent throughout the document)
| Vague | Timeline | Impact indicatif | Profils typiques |
|---|---|---|---|
| Early Wave | 2026–2029 | 10–20% of tasks | Juniors, routine tasks, low AI usage |
| Mid Wave | 2030–2033 | 40–60% | Intermediates, standard AI adoption |
| Late Wave | 2034–2038 | 70–90% | Non-adapted seniors, high proportion of codifiable tasks |
Occupations don't evolve as a block: impact accumulates in waves.
2) Sources (7 studies + occupations database)
AI & GenAI
- WEF — Future of Jobs 2025
- McKinsey — Generative AI & the Future of Work in America (2023)
- PwC France — AI Employment Barometer 2025
- MIT — The Work of the Future (2020)
Robotics / physical automation
- Goldman Sachs — Humanoid Robot: The AI Accelerator (01/2024)
- Bain & Company — Humanoid Robots at Work (04/2025)
- Morgan Stanley — Robotics Report (08/2024)
Occupations database
O*NET (US Dept. of Labor, ~1,000 professions, tasks & work contexts)
3) Algorithm (score → window)
A. Job Vulnerability Score (0–100)
Four variables (O*NET proxies) normalized 0–1:
| Variable | Effet | Poids |
|---|---|---|
| Task repetitiveness (Routine vs non-routine) | ↑ vulnerability | 0.35 |
| Automation proxy (composite of data-intensive tasks, procedures, SVP) | ↑ vulnerability | 0.30 |
| Face-to-face interactions (Face-to-Face Discussions) | ↓ vulnerability | 0.20 |
| Autonomy / decision latitude (Freedom to Make Decisions) | ↓ vulnerability | 0.15 |
Formule :
score = (routine*0.35) + (proxy_auto*0.30) + (1 - f2f)*0.20 + (1 - autonomy)*0.15B. Score → window mapping
| Score | Early | Mid | Late | Ex. illustratif* |
|---|---|---|---|---|
| 70–100 | 2026–2028 | 2029–2031 | 2032–2034 | Data-entry |
| 50–69 | 2026–2029 | 2030–2032 | 2033–2036 | Software dev |
| 30–49 | 2028–2031 | 2032–2035 | 2036–2039 | Plumber |
| 0–29 | 2033–2036 | 2037–2040 | 2040+ | Nurse |
*Indicative examples, may vary by country/sector.
C. 20 sectoral adjustments (relative delays)
- Tech / Finance: early adopters → –1 to –2 years
- Healthcare (direct care): critical human contact → +2 to +3 years
- Industry (structured environments): robots already present → earlier in the window
- Construction (variable environments): +~2 years
...
D. Cognitive AI vs robots
For physical occupations, sub-model with: gestural repetitiveness, environment structure, physical human contact, decision autonomy.
4) Cross-validation (multi-AI + human review)
Each occupation is compared against multiple models (Claude/Anthropic, ChatGPT/OpenAI, Gemini/Google).
- If gap > 1.5 years vs our model: robust consensus (average of 2 closest) + human review.
- Observed alignment: > 85% of windows concordant.
- ~150 occupations adjusted during the last iteration.
- Human supervision before publication.
5) Individual positioning (profile → window)
We adjust the occupation window with your responses:
- Seniority: Junior → pulls toward Early; Senior → pulls toward Late
- Daily AI usage: Yes → pushes back the window (internal goal: +5 years possible depending on occupations)
- Adaptability (declared): high → pushes back; low → advances
- Nature of tasks: more creative/human relations → pushes back
Ex. 5-year dev + daily AI usage → base Mid (2030–2033), adjusted Late beginning (2033); additional margin via AI mastery.
6) Updates & transparency
- Fréquence : Quarterly
- Facteurs suivis : New publications, AI/robots breakthroughs, field deployments, O*NET updates
- Dernière mise à jour : November 2025
Limitations
- Strong individual heterogeneity (two identical profiles → different trajectories)
- Technological uncertainty (accelerations/slowdowns possible)
- Regulation & public policies (can shift timelines)
- New occupations: our focus is on exposure rather than net job balance
Position
These windows are anticipation signals for planning and training, not guarantees. AI mastery can push back impact by several years.
7) Framework and methodological independence
Our estimates are based on a critical review of seven major international studies (McKinsey, MIT, Goldman Sachs, PwC, WEF, Bain & Company, Morgan Stanley), combined with our own field analyses and the O*NET v30.0 database. These works serve as methodological references, but our projections sometimes differ from their conclusions, particularly regarding the timing and magnitude of AI's impacts on employment.
These differences are explained by two main factors:
Technological updating:
most studies published between 2020 and 2024 are based on AI capabilities of that era. Our estimates incorporate recent advances and future evolution forecasts (multimodal models, new generation humanoids, autonomous agents, etc.), likely to significantly accelerate automation timelines.
Dynamic approach:
unlike static analyses, our model adjusts forecasts quarterly, based on new technical capabilities and adoption trends observed in companies.
The cited studies (McKinsey, MIT, Goldman Sachs, etc.) are used as public reference sources. MyJobVsAI is neither affiliated with nor validated by these institutions, and its projections result from an independent proprietary model designed to reflect the most recent advances in AI and robotics.
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