The world of work
has changed.
Career guidance hasn't.
Artificial intelligence is reshaping labour markets faster than any guidance tool was designed to handle. Fifty-year careers now cross multiple technological eras. The gap between what people need to navigate work and what career guidance provides has never been wider.
Traditional career guidance
was built for a different era.
The tools people rely on were designed when careers were linear, AI was theoretical, and one assessment could last a lifetime. None of those conditions exist anymore.
Built for linear careers
The personality-to-career-type pipeline assumes a single direction chosen once and held. The average career now includes two or three significant pivots. The assessment was designed for a version of work that no longer exists.
A snapshot in a moving market
Labour-market conditions, skill demand, and role definitions now shift on five-year cycles — faster in AI-adjacent fields. A one-time assessment at age 22 cannot navigate a 50-year career. Guidance needs to be continuous, not once-off.
No AI mapping
Every major career guidance framework was built before AI became a labour-market force. None of them map which human capabilities gain value when AI handles the rest. This is the most consequential gap in career guidance today.
No one follows up
Career guidance typically ends at the first report. There is no longitudinal tracking, no course-correction as context changes, no measure of whether the guidance worked. The field operates without feedback loops.
Career Intelligence is not
career advice.
Career Intelligence is the integrated, continuously-updated capacity to understand where one stands in work, where work is changing, where one's capability aligns with that change, how artificial intelligence is shifting the value of human contribution, and how to position next — across an entire working life, with evidence, agency, and dignity intact.
One-time assessment matched to a career type
Personality-based, static, context-free
Ends at the report — no follow-through
Does not account for AI-era labour-market shifts
Tells you what to be, not how to stay positioned
Continuous re-engagement across a 50-year career
Evidence-based, adaptive, context-anchored
Longitudinal tracking — follows outcomes over time
Maps AI impact at task level, per role, per person
Builds agency — the person remains the decision-maker
The Career Intelligence
Framework.
The six pillars are not sequential steps. They are interconnected dimensions of career capability — all six necessary for a complete picture. The pattern across all six is the unit of meaning.
The framework is grounded in five published research streams: career construction theory (Savickas 2013), career adaptability (Savickas & Porfeli 2012), South African employability research (Coetzee 2014, Bezuidenhout 2010), task-based labour economics (Acemoglu & Restrepo 2022), and frontier AI impact mapping (Anthropic Economic Index 2025).
The methodology is published, peer-reviewed, and open for academic scrutiny.
Explore the full Framework →One journey.
Five stages. A complete ecosystem.
Every PositionMeAI product answers one question in a continuous career journey. Each stage makes the next more valuable. Nothing stands alone.
Career Intelligence
at scale.
Every PositionMeAI product has an institutional equivalent. Universities, employers, and governments deploy the same framework and tools at cohort or workforce scale — with analytics, licensing, and integration.
Student Career Intelligence
Give students a structured Career Intelligence practice before they enter the workforce — field-specific, AI-aware, grounded in real employer demand, not generic careers advice.
Workforce Capability Development
Build the judgment, analytical thinking, and AI capability your workforce needs in a world where the tools change faster than the training programmes.
National Skills Infrastructure
Research partnership, CI Framework as a policy tool, and population-scale deployment of Career Intelligence diagnostics and development programmes.
Built on 23 years of practice.
Grounded in published research.
PositionMeAI is not a startup. It is a division of De Vlamingh & Associates Consulting CC — an HPCSA-registered Industrial Psychology practice founded in 2002. Every claim is traceable. Every method is documented.
HPCSA Registered
Industrial Psychology practice, registered with the Health Professions Council of South Africa. Professional and ethical standards apply to everything we publish.
23 Years of Practice
Career development, workforce assessment, and organisational psychology since 2002. Grounded in real-world career transitions, not theoretical models alone.
Published Research
Coetzee (2014) GSAS validated in South African early-career samples. Bezuidenhout (2010) Employability Attributes Framework. Peer-reviewed foundations for the six-construct model.
Open Methodology
How we measure career capability is documented. How we reason through AI opportunity mapping is published. There are no black boxes in the Career Intelligence Framework.
Ethical Governance
Eight ethical principles govern platform operation. Five governance principles bound commercial deployment. Agency before efficiency. Dignity throughout. No outcome promises.
PhD Research Foundations
Framework grounded in doctoral-level research into career development, employability, and the labour-market implications of AI. Full citations on the Framework page.
Your entry point
into Career Intelligence.
Choose the path that fits your role in the career intelligence ecosystem.
Free Career Scan & Report
Start with the free 15-minute Career Intelligence Scan. Receive a personalised report across all six pillars, AI opportunity mapping, and clear next steps — at no cost.
Go to positionmeai.co.za →Career Intelligence Academy
140 structured courses across 23 professional fields. AI Playbooks for your specific profession. Field-specific capability development you can act on from day one.
Explore the Academy →Judgment Lab
AI-coached simulation that develops decision-making and reasoning — the capabilities AI cannot replace. Currently seeking design partners for the pilot programme.
Learn about Judgment Lab →Student Career Intelligence
Deploy the Academy and Judgment Lab across student cohorts. Field-specific, evidence-based, learner-owned. Institutional licensing with cohort analytics. Pilot-ready.
University partnership models →Workforce Development
Build AI capability and judgment development into your L&D programme. Academy site licence + Judgment Lab cohorts, deployed at team or enterprise scale.
Employer licensing →Framework & Research
Six pillars, theoretical foundations, research methodology, and data. White papers, future of work reports, and AI impact analysis — published and open for scrutiny.
Read the Framework →