What does this research mean for the field?

Artificial intelligence does not automatically guarantee firm productivity or GDP growth; rather, its economic benefits are contingent upon complementary intangible assets, task characteristics, firm heterogeneity, and macroeconomic preparedness. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate how artificial intelligence affects business-level productivity and broader macroeconomic performance by proposing the AI Productivity Contingency Framework.

September 8, 2026Open Access

Artificial Intelligence, Firm Productivity, and Macroeconomic Performance: A Systematic Evidence Synthesis and the AI Productivity Contingency Framework (AIPCF)

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To evaluate how artificial intelligence affects business-level productivity and broader macroeconomic performance by proposing the AI Productivity Contingency Framework.
Conducted a PRISMA-oriented secondary literature synthesis encompassing comprehensive macroeconomic and firm-level evidence (~15,800 words).
Demonstrated that artificial intelligence is not an automatic driver of firm-level productivity or gross domestic product growth.
Identified that economic payoffs depend critically on complementary intangible investments, specific task characteristics along a jagged technological frontier, and firm heterogeneity in technology adoption.
Showed that broader macroeconomic realizations require widespread technology diffusion, structural preparedness, and appropriate productivity measurement frameworks.

Implication

Systematic evidence synthesis reveals conditional productivity effects of artificial intelligence across firms and economies, highlighting the necessity of complementary organizational investments.

Abstract

Systematic evidence synthesis proposing the AI Productivity Contingency Framework (AIPCF). Argues AI is not an automatic firm-productivity or GDP machine; gains depend on complements/intangibles, task content and the jagged technological frontier, firm heterogeneity and adoption, and macro measurement/diffusion/preparedness. PRISMA-oriented secondary literature synthesis; ~15,800 words; APA 7th.

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Cite This Study

Nick Bellino (2026) studied this question.

synapsesocial.com/papers/6a9fd7d558e84d0ff5b46ea6 https://doi.org/10.5281/zenodo.22646757

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Implication

Systematic evidence synthesis reveals conditional productivity effects of artificial intelligence across firms and economies, highlighting the necessity of complementary organizational investments.

Artificial Intelligence, Firm Productivity, and Macroeconomic Performance: A Systematic Evidence Synthesis and the AI Productivity Contingency Framework (AIPCF)

Key Points

Implication

Abstract

Discussion

Cite This Study

Artificial Intelligence, Firm Productivity, and Macroeconomic Performance: A Systematic Evidence Synthesis and the AI Productivity Contingency Framework (AIPCF)

Key Points

Implication

Abstract

Discussion

Cite This Study

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