Redefining Accounting in the Digital Age: The Impact of Blockchain and Artificial Intelligence
The rapid advancement of emerging technologies, particularly blockchain and artificial intelligence (AI), is transforming the traditional landscape of the accounting profession. This study explores the impact of these technologies on accounting practices, auditing processes, financial reporting, and accounting education. Blockchain, with its decentralized, immutable, and transparent ledger system, has the potential to enhance data reliability, reduce fraud, and enable real-time auditing. Simultaneously, AI-drive…
Integration of blockchain and AI in accounting improves audit quality, enhances transparency and data reliability, and reduces operational costs while automating routine tasks.
Adoption of blockchain and AI in accounting faces scalability, interoperability, and potential job displacement concerns that constrain effective integration.
Findings are based on a descriptive qualitative design with questionnaire data from Chartered Accountants and audit firm professionals, not a large-scale quantitative or longitudinal outcome measurement.
Evidence
- Peer-reviewedWorld Journal of Advanced Research and Reviews2024-01-03
- Peer-reviewedIEEE Access2020-01-01
- Peer-reviewedEconomies2024-08-01
- Peer-reviewedApplied Sciences2022-10-31
- Peer-reviewedInternational Journal of Latest Technology in Engineering Management & Applied Science2026-05-08
How should this claim be treated?
Truvace Impact Record TRV-2026-0169, v5: “Redefining Accounting in the Digital Age: The Impact of Blockchain and Artificial Intelligence.” Truvace, 2026-09-04. /record/TRV-2026-0169 (accessed at citation time). sha256 961fecd905d751b1…
Calibration history
Every change to this record since certification, in the open.
Source set updated
Source set updated
Source set updated
Source set updated
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0169 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.
ace