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Jonathan H. Westover

Provider-ID corpus identity

9Distinct papers
0Unique collaborators
9/9Semantic Scholar citation coverage

Publication dates unavailable. Corpus fetch span: 2026.

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Identity provenance

Provider IDs

  • Semantic Scholar: 2415561045

ORCID evidence

No valid ORCID is stored.

Observed aliases (1)
  • Jonathan H. Westover (semantic scholar, provider refresh)

Topics and outcomes in this view

Assessment themes

  • Org Design: 8 papers
  • Human Ai Collab: 7 papers
  • Productivity: 5 papers
  • Skills Training: 5 papers
  • Governance: 4 papers
  • Adoption: 3 papers
  • Labor Markets: 3 papers
  • Inequality: 2 papers

Claim outcomes

Papers in the Semantic Scholar view

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Jonathan H. Westover's distinct papers under the selected provider observation surface.
PaperAuthor evidenceDateProvider citations
Management theory, not only software metaphors, is needed to govern multi-agent AI: concepts like decision rights and spans of control explain coordination breakdowns that orchestration patterns miss. Embedding organizational design principles into agentic systems could turn experimental agentic workflows into dependable organizational capabilities—though the recommendations are currently conceptual and require empirical validation.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-07-20 0
Experts see big AI capability gains but only modest near-term economic effects, while a notable minority (14%) warn of rapid-progress scenarios with strong GDP growth coupled with falling labor-force participation and widening inequality. Firms that invest in systematic retraining, transparent transition planning and adaptive organizational design can better protect workers and maintain operations amid accelerated AI-driven change.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-06-28 0
Firms that redesign how people and AI work together report markedly better returns: those intentionally architecting human–AI interactions are twice as likely to exceed AI investment targets and 2.5 times more likely to report superior financial performance. The result is drawn from a large Deloitte executive survey and illustrates associations, not proven causal effects.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-06-22 0
Emerging evidence suggests large language models reshape jobs unevenly: some occupations face substantial task-level exposure while real-world displacement remains limited and concentrated; firms that invest in transparent planning, reskilling and role redesign can both mitigate harm and capture productivity gains.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-29 0
AI mostly amplifies human workers rather than replacing them, but productivity payoffs depend on people: without widespread AI literacy and stronger complementary skills, technological gains concentrate among a few and create productivity bottlenecks; broad investment in workforce capabilities is therefore essential.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-28 0
As AI automates technical core tasks, organizations must elevate human skills and overhaul learning architectures; blended, context-rich training and academic–corporate partnerships are the pathway to sustainable competitive advantage. Rote learning is becoming obsolete as firms prioritize critical thinking, adaptive decision-making, and interpersonal capabilities that AI cannot easily replicate.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-12 0
Rewiring the org chart beats culture programs: decentralizing authority and flattening hierarchies reliably speeds decisions and boosts adaptive behavior across manufacturing, platforms and healthcare; culture change and pay tweaks rarely achieve the same systemic effects.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-11 0
Corporate short-termism is prompting premature AI-driven layoffs that risk macro instability; coordinated policy-led reductions in standard work hours offer a practical tool to preserve jobs, maintain demand and spread the gains from AI.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-04-04 0
Widespread AI use is producing 'AI brain fry'—employees facing cognitive overload report higher turnover intentions and falling productivity. Employers must redesign work systems, training and governance to make AI a productivity enhancer rather than a drain on human attention.semantic_scholar Jonathan H. Westover
provider id		 Fetched 2026-03-17 0

Citation observation summary

Semantic Scholar supplied counts for 9 of 9 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.