NDX Foresight

What the evidence says
about growing up with AI.

Foresight gathers what researchers, institutions, industry and policymakers say about AI, work and learning. It keeps each claim in the speaker’s own words with its source, shows where voices agree and where they part, and checks dated claims when their date arrives. It does not pretend to predict.

Evidence for ministries planning the next curriculum.
Evidence for ministries planning the next curriculum.
Live from the ledger

The ledger, as it stands today

Every count below comes straight from the Foresight ledger and moves as it is rebuilt. Each prediction is kept in its speaker’s own words, with its source.

Snapshot · 2 November 2026
People followed
125

researchers, institutions, industry leaders and policymakers, including sceptics

  1. 01
    39,036
    Documents gathered

    Posts, talks, papers and reports

  2. 02
    35,703
    Read so far

    Read and searched for predictions

  3. 03
    46,039
    Predictions recorded

    Kept word for word, with the source

  4. 04
    13,443
    With a date

    Only a dated claim can be checked

  5. 05
    1,516
    Ready to score

    Their date has come

  6. 06
    0
    Scored

    Checked against what happened. Scoring has just begun.

How it works

A ledger, not a forecast

Most writing about AI and education repeats a view. Foresight records who said what, when, and how sure they sounded, so a ministry can weigh it.

Independent agreement first

A finding needs the same forecast from at least three people working separately. The strongest come first.

Their words, not ours

Every prediction is stored as said, with its source. Nothing is paraphrased into a claim.

Coming due

Dated predictions are tracked to their date, so ministries can see what is about to be tested.

Scored in the open

When a date passes, the prediction is checked against what happened, and a track record builds for each voice.

How it works

Gather · Keep their words · Review · Score when due

  1. 01

    Gather

    Posts, talks, papers and reports from a broad roster of thinkers, including sceptics and economists, not only builders.

  2. 02

    Keep their words

    Each claim is kept in the speaker’s exact words and checked against the source, or it is dropped.

  3. 03

    Review

    Claims are reviewed for whether they are real forecasts, and whether they could ever be checked.

  4. 04

    Score when due

    When a dated claim reaches its date, it is checked against what happened. A track record builds over time.

What the sources are saying

The themes in the briefing

From the current briefing, Growing up with AI. These are what the sources say, not what we predict.

Work

  • Junior office work changes first
  • Work shifts to directing and checking AI
  • Some see no near-term mass job loss
  • Agents spread through everyday work

Learning

  • Tutoring rises while the weight of degrees falls
  • Prompting techniques date quickly
  • Research itself is increasingly automated

Capability and risk

  • Models improve almost month by month
  • AI moves into science and robots
  • Tasks become far cheaper to run
  • Misuse, misbehaviour and security come first
Why it matters
Why it matters

Today’s pupils will live the answers to these questions. Their curriculum is being written now.

Where they agree

Common ground across the sources

The order of change

Office and coding work change first; physical work changes later, through robots.

Education is central

Education is among the sectors the sources discuss most.

Skills that date

Narrow AI techniques taught today are expected to date fast. Durable skills matter more.

Where they part

The disagreements that matter for a curriculum

A ministry plans for years. These are the questions where serious voices give very different answers.

One view

Large change within a low number of years, mostly from people building AI.

Another view

Large change over one or two decades, mostly from economists and engineers.

One view

Robots reach physical work within a few years.

Another view

Physical work stays largely human for decades.

One view

Society adapts as it has before, with new kinds of work.

Another view

If paid work shrinks, it is not clear how incomes would be funded.

What it cannot tell you yet

We show the gaps too

Foresight says plainly where its evidence is thin. That is what makes it usable.

Most claims carry no date

Undated claims cannot be scored, so they inform but do not test.

Voices lean to North America

Few sources speak to any one country. Local evidence is the gap we most want to close, with ministries.

No track record yet

Scoring starts as dated claims fall due. Until then, no voice has earned more weight than another.

The training route

Few sources set out a route for school leavers that holds if office and physical work change together.

Growing up with AI: a living briefing
For ministries

Growing up with AI: a living briefing

A briefing for ministries of education on what the sources say about the decade today’s pupils will grow up into, rebuilt as the evidence grows. We walk your team through it and connect it to your curriculum.

  • What the sources say, and where they disagree
  • Dates the sources give, and how many give none
  • What it means for skills, assessment and teacher training
  • How it connects to your curriculum map and a reform pack
Next step

Brief your team on the evidence

We present the briefing to ministry teams and connect it to their curriculum and training plans.