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Research Report

The Enterprise AI Readiness Report 2026

State of AI Transformation in APAC & Beyond

Release DateFebruary 2026
FormatPDF / 42 Pages
AccessEmail Required
TechShift Research

The Enterprise AI Readiness Report 2026

Confidential briefing for executive leadership

APAC 2026 Edition

Key Report Findings

72%

Board Mandate

of enterprises now have a board-level mandate for AI transformation.

3.4x

ROI Differential

Leaders see 3.4x higher ROI compared to laggards by focusing on data foundation.

18mo

Average Payback

Typical payback period for foundational AI infrastructure investments.

Table of Contents

01The AI Maturity CurvePreview
02Data Debt & Foundation
03The Talent Gap
04Measuring Real ROI
05Responsible Governance
Section Preview

Chapter 1: The AI Maturity Curve

Analysis of the 5 stages of enterprise AI adoption and where global leaders currently sit. Enterprise AI adoption does not happen in a single leap — it progresses through five distinct maturity stages that define an organisation's capability, culture, and competitive positioning. Stage 1 (Experimental) sees teams running isolated proof-of-concept projects with no centralised strategy, typically consuming 0–5% of IT budget on AI tooling. Stage 2 (Functional) marks the transition to departmental deployments where individual business units own their AI roadmaps, but integration across the enterprise remains fragmented. Stages 3 through 5 — Operational, Strategic, and AI-Native — represent the journey from coordinated enterprise programmes to organisations where AI is embedded in every product, process, and decision loop. APAC benchmarks from our 2026 survey of 312 regional enterpr...

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