Evidence map›Paper›PMID 42491592›Full record

ArticleFrontiers in psychology2026

Reframing talent development in the intelligence age: reasoning from first principles.

Ederick Stander, Ian Rothmann, Carla du Plessis, Sibusiso Mnxuma, Jordan Roothman, Joe Watson, Vesselin Popov

Abstract read
In one paragraph

Article in Frontiers in psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ederick StanderFitt Talent Solutions (FITT), Stellenbosch, South Africa.
Ian RothmannFitt Talent Solutions (FITT), Stellenbosch, South Africa.
Carla du PlessisFitt Talent Solutions (FITT), Stellenbosch, South Africa.
Sibusiso MnxumaFitt Talent Solutions (FITT), Stellenbosch, South Africa.
Jordan RoothmanFitt Talent Solutions (FITT), Stellenbosch, South Africa.
Joe WatsonUniversity of Cambridge Psychometrics Centre, Cambridge, United Kingdom.
Vesselin PopovUniversity of Cambridge Psychometrics Centre, Cambridge, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This perspective paper examines how AI is reshaping talent management in the emerging intelligence age, where value creation depends on the ability to interpret, apply, and scale insight. Despite advances in talent analytics, learning, and skills models, current approaches are static and generally misaligned with the dynamic, AI-mediated future of work. We use three lenses-AI as an evolving, permeating, and performance-amplifying force-to investigate how this technology is transforming capability dynamics, decision-making, and performance distribution, while probing the limitations of existing talent practices. We put forward a framework-Assess, Access, Accelerate, and Amplify-that reframes talent management as an integrated approach to capability development.

Indexed as

artificial intelligenceCapability ApproachecosystemsInformation Processing Theoryorganizational learningtalent development

Identifiers

PMID42491592
PMCPMC13377815

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.