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Latest Thinking

Analysis and opinion on AI, engineering, and business.

Strategy

Why 95% of Enterprise AI Initiatives Still Fail in 2026

Despite $300B+ in global AI spending, 95% of enterprise AI projects never reach production. A look at why — and what separates the 5% that succeed.

AI Strategy Enterprise ROI Production AI
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Agentic AI

The 2026 Business Workflow: The Era of Agentic Orchestration

AI has moved beyond chatbots into multi-agent orchestration — where specialized agents coordinate autonomously while humans shift from execution to supervision.

Agentic AI Multi-Agent Systems Workflow Automation Human-in-the-Loop
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Strategy

76% of SMBs Are Using AI. Only 23% Have a Strategy.

Small and mid-sized businesses are adopting AI faster than ever — but most lack a formal strategy. The gap between usage and intentional deployment is where value gets lost.

SMB AI Strategy B-CIDS Framework ROI
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Infrastructure

The 2026 AI Infrastructure Boom: Data Centres, Energy, and Economics

AI infrastructure spending is reshaping global energy markets, supply chains, and cloud economics. A breakdown of the numbers — and the hidden costs most organizations overlook.

AI Infrastructure Data Centers Energy GPU Cloud
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Strategy

Gartner Says 40% of AI Agent Projects Will Fail. Here's How to Be in the Other 60%.

Gartner's inaugural Hype Cycle for Agentic AI places the technology at the Peak of Inflated Expectations. What that means — and how to build projects that survive the trough.

Gartner Hype Cycle Agentic AI Risk Management
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Strategy

What BCG's Own Research Proves: AI Success Is 70% People, Not Technology

BCG's 10-20-70 rule says AI success is 10% algorithms, 20% technology, and 70% people. The evidence across industries confirms it — and most organizations are still investing backward.

BCG Change Management Workforce AI Adoption
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Strategy

The Enterprise AI Maturity Model

A practical framework for assessing where your organization stands on the AI adoption curve — and what to do next.

AI Strategy Enterprise Maturity Model
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Engineering

Why Production AI Is an Engineering Problem, Not a Research Problem

The gap between a working demo and a reliable production system is wider than most teams expect. Here's how to bridge it.

MLOps Production AI Engineering
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