aceWORKFORCE TRANSFORMATION IN MANUFACTURING INDUSTRIES: THE ROLE OF ARTIFICIAL INTELLIGENCE, AUTOMATION, RESKILLING, UPSKILLING AND SOFT SKILLS
The employment of new technologies like Artificial Intelligence (AI) along with robotics, intelligent automation and digital manufacturing are changing the nature of work and workforce capabilities in manufacturing industries. While previous studies have put a lot of focus on technological adoption and on Industry 4.0, comparatively less empirical attention has been paid to the organizational and human-capability mechanisms through which technological transformation leads to the transformation of the workforce.…
Among surveyed manufacturing workers, AI adoption, reskilling and upskilling were each positively associated with workforce transformation, including job redesign and a shift to higher-value work.
Evidence
- Peer-reviewedActa Innovations2026-10-18
How should this claim be treated?
Truvace Impact Record TRV-2026-2066, v1: “WORKFORCE TRANSFORMATION IN MANUFACTURING INDUSTRIES: THE ROLE OF ARTIFICIAL INTELLIGENCE, AUTOMATION, RESKILLING, UPSKILLING AND SOFT SKILLS.” Truvace, 2026-10-21. /record/TRV-2026-2066 (accessed at citation time). sha256 0dc0131476dd6808…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-2066 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.