TRV-2026-2071Certified recordPeer-reviewed

Digital Transformation for Accounting Students in Facing the Development of Artificial Intelligence (AI) in the World of Accounting

The development of digital transformation and Artificial Intelligence (AI) technology has brought significant changes in the world of accounting, especially in the process of recording transactions, preparing financial statements, digital audits, and fraud detection. This research aims to analyze digital transformation for accounting students in facing the development of Artificial Intelligence (AI) in the world of accounting. The research method used is Systematic Literature Review (SLR) with a thematic synthes…

Education · The Trace — both readings · certified 2026-10-21 · v1 · article view · machine-readable

Current reading — gain

AI is opening new accounting career paths such as digital auditor, financial data analyst and information systems consultant for students who build digital skills.

Current reading — problem

AI adoption is increasing job competition for accounting students and demanding technology skills that curricula may not yet provide.

What this doesn’t fix

The conclusions come from a literature review of only 15 included articles, and the abstract does not provide measured outcomes for student employment or tested curriculum interventions.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-2071, v1: “Digital Transformation for Accounting Students in Facing the Development of Artificial Intelligence (AI) in the World of Accounting.” Truvace, 2026-10-21. /record/TRV-2026-2071 (accessed at citation time). sha256 1134a68363588e02…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv11134a6836358…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-2071 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.