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Research reports, briefs, and evidence-led analysis from DTMI.
Showing 1–10 of 24 reports
Research4 min read
AI-Augmented Work: Scenarios 2026-2030
In mid-2026, AI augmentation of knowledge work has passed the stage of experimentation and entered uneven institutionalisation -- the defining condition for D5 (Digital Workers and Workspace) in this cycle. McKinsey's June 2026 State of AI report estimates that 68% of…
Research3 min read
Hybrid Work Patterns: Scenarios 2026-2030
The hybrid work settlement of 2024-2025 is already fracturing in mid-2026 -- a live signal for D5 (Digital Workers and Workspace). Data from 14 global enterprise workplace studies published in Q1 2026 show that actual attendance rates are diverging sharply from policy…
Research3 min read
Economy 4.0 and the Measurement Failure: Why AI Investment ROI Stays Invisible
Why do traditional enterprise ROI metrics fail to capture the returns from AI investment in Economy 4.0 conditions, and what does this mean for how executives should govern AI programme decisions?
Research13 min read
The Cost Curve Divergence: Future Scenarios for DBP Economics
The economics of transformation are changing in a way that most executive planning frameworks have not yet absorbed.
Research3 min read
Enterprise AI Pilots Failing to Scale: Where the Production Gap Opens
Why do enterprise AI pilots fail to reach production at scale, and where in the pilot-to-production transition does the failure occur? Is the failure primarily a data quality problem, a model performance problem, or an architecture problem?
Research22 min read
Delivery Metrics Cannot Measure a Transformation That Has No End
[Vol 00] | [Paper 04]
Research23 min read
The Substrate Problem: Architecting Infrastructure 4.0 So Its Gains Compound
Ask an infrastructure owner how many digital twins they have paid for, then ask how many they still own and use today. The two numbers are rarely the same, and the difference is one of the most expensive habits in the built environment.
Research12 min read
The Pace Advantage: Future Scenarios for Continuous Integrated Transformation
The conditions that made discrete transformation projects the dominant model are changing faster than most organisations are responding.
Research4 min read
AI Builder Stack: Scenarios 2026-2030
The AI builder stack -- tools practitioners use to design, build, deploy, and manage AI-powered applications without full software engineering capability -- is a central concern within D6 (Digital Accelerators), and it has undergone more architectural change in the past…
Research2 min read
MACH Architecture in Financial Services: Where Implementation Fails
Why do MACH architecture implementations in financial services (banking, insurance) fail to deliver the composability and AI-readiness benefits the architectural model promises? Where in the implementation-to-outcome journey does the gap open?
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