The market, read off the records.
Not a think piece. Six views computed from the same career records you can open yourself, which is what makes every average on them checkable rather than quotable: where each field stands, which way it is moving, where pay is heading, the skills in demand, and which tasks AI is taking.
- 6 views, one question each
- 0 to 100 both scores, same scale
- every row openable and checkable
- HealthcareHiring+23%Exposure25
- TechnologyHiring+13%Exposure43
- AgricultureHiring+2%Exposure33
- FinanceTurned negativeHiring-1%Exposure60
- ClericalHiring-15%Exposure79
Averages you can take apart.
An average is where information goes to hide. Every figure here is drawn from career records held on the same scale, so the number is followed by the spread behind it and by the individual roles that produced it. A field average of 46 made of two clusters at 20 and 70 is a different fact from one made of roles all sitting at 46, and only one of those is a safe bet.
- 01hiring matrix
Hiring against exposure
A scatter split by a break-even line, then every career ranked by hiring minus exposure.
- 02distribution spread
The spread, not the mean
Ten bands, because the scores cluster in two groups and an average between them describes almost nobody.
- 03salary baseline
Entry pay by field
Its own chart, because shillings and 0 to 100 scores on one axis would invent a relationship.
- 04targeted fields
Your fields first
The fields you named lead every view, with your saved careers and your plan's target drawn on the chart.
- 05movement
Which way fields are moving
Where hiring is growing, and a weekly reading that turns each field's figures into a line you can follow.
- 06pay outlook
Pay to 2030
Entry, mid and senior pay against each career's 2030 projection, and whether the gap between them widens.
- 07skills in demand
Tools the market asks for
Tools ranked by how many hiring careers use them, narrowed to your fields and marked where you have them.
- 08task split
What AI takes, by field
Each field's work split into human, assisted and automated, with the tasks going and staying named.
Where every number comes from.
There is no separate trends dataset, the charts are computed from the catalogue at read time, which is why a figure here can never disagree with the record behind it. Every average and pay band traces back to a specific career row you can open and check yourself.
Records carry the scores
Each career holds its hiring outlook, exposure rating and pay band on the same scale as every other. The scores are stored on the record, not derived later, so what you see on a chart is what the career page says.
01 · Record-Level Empirical Data Tuple
Software Engineer · Nairobi
Sector: Information & Communication Technology (ICT)
Hiring Outlook
+26% YoY Growth
Exposure Rating
22 / 100 · Low Risk
Median Salary
KES 140,000 / mo
Task Split: 35% Automatable · 27% Assisted · 38% Human Core
1,511 career records individually scored, task-decomposed and cited in the open catalogue
Who gets it.
Each tier adds tools on top of the one below, and credits, which is how much model work you can spend in a week.
The catalogue is open and needs no account. The app is free to join, and a tier only changes how much it does.
Compare tiersThe open catalogue, the coach, goals and trends, with no card required.
Four times the allowance, plus Adapt and every résumé tool.
Eight times the allowance, plus applications and interview practice.
What it does not claim.
These are charts about a catalogue, and the catalogue is a description of roles rather than a measurement of the economy.
- 01 · market surveysout of scope
It is not a labour market survey.
It counts no live vacancies or wages; it summarises what each role's record says.
- 02 · headcount censusout of scope
Hiring outlook is an assessment.
It is kept per record against published sources, and inherits what is stale in them.
- 03 · sample sizeout of scope
Thin fields give loud averages.
A field of nine careers moves on one edit, so the count sits beside every mean.
- 04 · exposure estimatesout of scope
Exposure ratings are estimates.
Each is built from a task split published on the record, for you to check.
- 05 · county granularityout of scope
It says nothing about your county.
Everything is national; Nairobi against elsewhere is real and not modelled.
- 06 · history depthout of scope
The weekly history is short.
Readings began recently, and a direction needs a few weeks of them to mean much.
Common questions.
If yours is not here, ask. We answer in writing so the answer is quotable, and we correct the record when we get one wrong.
Ask usCheck the average against the rows.
Every point on every chart is a set of career records. Start with the field you are weighing and read what it is actually made of.