How to Prepare Older Adults for AI in the Workplace: Strategies for Training Providers, Employers, and Policymakers
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| Title: | How to Prepare Older Adults for AI in the Workplace: Strategies for Training Providers, Employers, and Policymakers |
|---|---|
| Language: | English |
| Authors: | Amanda Briggs, Hailey D’Elia, Urban Institute |
| Source: | Urban Institute. 2026. |
| Availability: | Urban Institute. 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5687; Fax: 202-467-5775; Web site: http://www.urban.org |
| Peer Reviewed: | N |
| Page Count: | 4 |
| Publication Date: | 2026 |
| Sponsoring Agency: | AARP |
| Intended Audience: | Practitioners; Community; Policymakers |
| Document Type: | Reports - Descriptive |
| Descriptors: | Older Adults, Artificial Intelligence, Job Skills, Automation, Job Training, Resilience (Psychology), Adjustment (to Environment), Information Literacy, Digital Literacy, Job Search Methods, Stereotypes, Access to Computers, Older Workers |
| Abstract: | The rapid advancement and increasing complexity of artificial intelligence (AI) in recent years has prompted education and training providers and employers to rethink workplace roles and consider what it means to be job-ready. Concerns about task augmentation, or how specific aspects of jobs will change due to automation, and job displacement--involuntary job loss due to technological change--span work experience levels and industries. This brief offers strategies and recommendations for policymakers, employers, and education and training providers who support, hire, and train adults age 50 and older to support their resilience amid this changing landscape. A longer companion brief provides the research study that included a literature review and interviews and focus groups held with 20 individuals across 19 organizations. |
| Abstractor: | ERIC |
| Entry Date: | 2026 |
| Accession Number: | ED681280 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=ED681280 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Items | – Name: Title Label: Title Group: Ti Data: How to Prepare Older Adults for AI in the Workplace: Strategies for Training Providers, Employers, and Policymakers – Name: Language Label: Language Group: Lang Data: English – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amanda+Briggs%22">Amanda Briggs</searchLink><br /><searchLink fieldCode="AR" term="%22Hailey+D%27Elia%22">Hailey D’Elia</searchLink><br /><searchLink fieldCode="AR" term="%22Urban+Institute%22">Urban Institute</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="SO" term="%22Urban+Institute%22"><i>Urban Institute</i></searchLink>. 2026. – Name: Avail Label: Availability Group: Avail Data: Urban Institute. 2100 M Street NW, Washington, DC 20037. Tel: 202-261-5687; Fax: 202-467-5775; Web site: http://www.urban.org – Name: PeerReviewed Label: Peer Reviewed Group: SrcInfo Data: N – Name: Pages Label: Page Count Group: Src Data: 4 – Name: DatePubCY Label: Publication Date Group: Date Data: 2026 – Name: SourceSuprt Label: Sponsoring Agency Group: SrcSuprt Data: AARP – Name: Audience Label: Intended Audience Group: Audnce Data: Practitioners; Community; Policymakers – Name: TypeDocument Label: Document Type Group: TypDoc Data: Reports - Descriptive – Name: Subject Label: Descriptors Group: Su Data: <searchLink fieldCode="DE" term="%22Older+Adults%22">Older Adults</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Skills%22">Job Skills</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Training%22">Job Training</searchLink><br /><searchLink fieldCode="DE" term="%22Resilience+%28Psychology%29%22">Resilience (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Adjustment+%28to+Environment%29%22">Adjustment (to Environment)</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Literacy%22">Information Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Literacy%22">Digital Literacy</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Search+Methods%22">Job Search Methods</searchLink><br /><searchLink fieldCode="DE" term="%22Stereotypes%22">Stereotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+Computers%22">Access to Computers</searchLink><br /><searchLink fieldCode="DE" term="%22Older+Workers%22">Older Workers</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rapid advancement and increasing complexity of artificial intelligence (AI) in recent years has prompted education and training providers and employers to rethink workplace roles and consider what it means to be job-ready. Concerns about task augmentation, or how specific aspects of jobs will change due to automation, and job displacement--involuntary job loss due to technological change--span work experience levels and industries. This brief offers strategies and recommendations for policymakers, employers, and education and training providers who support, hire, and train adults age 50 and older to support their resilience amid this changing landscape. A longer companion brief provides the research study that included a literature review and interviews and focus groups held with 20 individuals across 19 organizations. – Name: AbstractInfo Label: Abstractor Group: Ab Data: ERIC – Name: DateEntry Label: Entry Date Group: Date Data: 2026 – Name: AN Label: Accession Number Group: ID Data: ED681280 |
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| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 4 Subjects: – SubjectFull: Older Adults Type: general – SubjectFull: Artificial Intelligence Type: general – SubjectFull: Job Skills Type: general – SubjectFull: Automation Type: general – SubjectFull: Job Training Type: general – SubjectFull: Resilience (Psychology) Type: general – SubjectFull: Adjustment (to Environment) Type: general – SubjectFull: Information Literacy Type: general – SubjectFull: Digital Literacy Type: general – SubjectFull: Job Search Methods Type: general – SubjectFull: Stereotypes Type: general – SubjectFull: Access to Computers Type: general – SubjectFull: Older Workers Type: general Titles: – TitleFull: How to Prepare Older Adults for AI in the Workplace: Strategies for Training Providers, Employers, and Policymakers Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Urban Institute – PersonEntity: Name: NameFull: Amanda Briggs – PersonEntity: Name: NameFull: Hailey D’Elia IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2026 Titles: – TitleFull: Urban Institute Type: main |
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