AI Risk · 531 careers assessed

Which careers will AI
reshape?

A comprehensive guide to AI exposure across career paths, how scores are calculated, and what you can do with that knowledge.

Definition

What is AI risk?

AI risk in careers refers to the likelihood that AI technologies will automate, displace, or fundamentally transform the core tasks in a given role. It is not a measure of personal risk, it is a measure of occupational exposure to automation.

Unlike manufacturing automation (which targeted physical labor) modern AI targets knowledge work, writing, analysis, coding, legal reasoning, financial modelling. This affects a much broader range of professionals including those who previously felt insulated from automation.

AI Risk: Low

AI assists but cannot replace core tasks. Requires human judgment, physical presence, or creative decisions.

AI Risk: Medium

AI handles many routine tasks. Professionals must adapt by focusing on strategic, interpersonal, or creative work.

AI Risk: High

AI automates a large portion of core tasks. These roles are transforming fast, upskilling is urgent.

Methodology

How we score it

Each career receives a score from 0 to 100. The score is computed by evaluating six weighted factors against current AI capabilities. Scores are reviewed quarterly as AI capabilities evolve.

Task automability

What percentage of daily tasks can be done by current AI models?

Judgment requirement

How much complex human judgment, ethics, and context does the role require?

Human interaction

Does the role depend on deep human relationships, empathy, and trust?

Creativity demand

How much original, novel thinking or creative production is needed?

Data dependency

Can AI access sufficient training data to match professional-level performance?

Physical requirement

Does the role involve physical manipulation, dexterity, or embodied presence?

Score interpretation

0-30 = Low risk, strong human-only advantages.

31-60 = Medium risk, significant AI assistance required.

61-100 = High risk, core tasks heavily automatable.

Score 0-30

Low risk careers

These 194 careers share a common thread: they require sustained human judgment, physical interaction, emotional intelligence, or creative originality that current AI cannot consistently replicate. They represent the safest long-term bets for students entering the workforce.

Biomedical Engineer

Health Sciences · KES 150k/mo

Data Science

Technology · KES 150k/mo

Nurse Practitioner

Health Sciences · KES 120k/mo

Public Health

Health Sciences · KES 100k/mo

Score 31-60

Medium risk careers

These 315 careers sit in transition. AI is already handling the routine portions of the work, including data entry, report generation, and basic analysis, but the strategic, relational, and creative layers remain firmly human. Professionals in these roles must proactively adopt AI tools to remain competitive and redirect their time toward higher-value activities.

Economics

Social Sciences · KES 100k/mo

Journalism

Media & Communication · KES 80k/mo

Biostatistician

Health Sciences · KES 100k/mo

Software Engineering

Technology · KES 120k/mo

Score 61-100

High risk careers

These 22 careers face significant disruption. Many tasks that previously required years of training, data entry, basic legal research, financial modeling, standard copywriting, can now be done faster and cheaper by AI.

This does not mean these careers will disappear, but it does mean the job descriptions will change dramatically. Professionals here need to specialize, build AI skills, and position themselves for the tasks that remain irreplaceable.

Important context

High AI risk does not mean these careers are "bad choices." Many high-risk careers remain in strong demand and offer excellent salaries. The key is choosing them with eyes open, understanding which skills to develop to stay ahead of automation.

Accounting Technician / Bookkeeper

Education · KES 60k/mo

Chemistry

Science · KES 100k/mo

Electrical Engineering

Engineering · KES 100k/mo

Legal Researcher

Law · KES 80k/mo

Real data

AI vs human tasks, by career

Every career in our database is broken down by what AI already handles and what still requires a human. These are sampled from live career profiles.

EconomicsAI Risk: Medium

Humans lead

Interpreting economic data
Developing policy recommendations
Communicating with stakeholders

AI handles

Data analysis
Econometric modeling
Forecasting

Biomedical EngineerAI Risk: Low

Humans lead

Designing custom prosthetics and orthotics for patients
Performing on-site installation and calibration of complex medical devices
Collaborating with surgeons to develop new surgical tools

AI handles

Analyzing device performance data to predict maintenance needs
Automating initial screening of medical images (e.g., X-rays)
Optimizing design parameters using AI algorithms

JournalismAI Risk: Medium

Humans lead

Conducting interviews with sources
Investigating stories
Writing and editing articles

AI handles

Data analysis and research
Fact-checking
Content optimization

Framework

Adaptation levels

Knowing your AI risk score is only half the story. The other half is your response. We classify adaptation into four levels. Your target level should match or exceed the risk level of your career.

AI User

Incorporate AI tools (ChatGPT, Copilot, Midjourney) into daily workflows. This is now the minimum baseline for employability across all sectors.

ChatGPT / ClaudeMicrosoft CopilotGoogle GeminiGrammarly AI

AI Manager

Strategically deploy AI within teams. Understand capabilities, limitations, and governance. Bridge business goals and AI tooling decisions.

Salesforce EinsteinHubSpot AITableau AIPower BI Copilot

AI Builder

Design and deploy AI systems fine-tuning models, building pipelines, and creating products that others rely on. Highest leverage position.

TensorFlow / PyTorchHugging FaceOpenAI APILangChain

AI Resistant

Chooses not to engage with AI tools. This category shrinks rapidly as AI becomes embedded in every major platform and workflow.

WhatsApp AI assistantsBasic smartphone AI featuresGoogle Search AI overviewsVoice assistants (Siri, Google Assistant)

Local perspective

The Kenya context

Kenya's labor market has unique dynamics that affect how AI risk plays out locally. Understanding the local context helps you make smarter decisions than generic global AI forecasts.

Strong services exports

Kenya is a growing BPO hub. AI threatens entry-level data work, but creates demand for AI supervisors, trainers, and quality assurance roles.

High relationship economy

Trust, networks, and personal relationships are paramount in Kenyan business culture, a strong natural moat against AI automation.

TVET and technical advantage

Skilled trades (electrical, civil, mechanical) require physical presence and judgment. These are structurally low-risk in the Kenyan market.

Digital leapfrog opportunity

Kenya has leapfrogged legacy systems before (mobile money). Professionals who adopt AI tools early will have an outsized advantage over peers.

Interactive

Career explorer

Filter by category to explore AI risk scores across all 531 careers.

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Economics

Which careers will AI reshape?

What is AI risk?

How we score it

Low risk careers

Medium risk careers

High risk careers

AI vs human tasks, by career

Adaptation levels

The Kenya context

Career explorer

Understand your position. Build your plan.

Command Palette

Which careers will AI
reshape?