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Original research, curated industry reads, and annotated perspectives on enterprise AI adoption, governance, and risk — from the 01 research desk.

01 Whitepaper

Whitepaper·01AI LTD · March 2026

The Five Silent Pitfalls of
First-Time AI Adoption

How Enterprises Undermine Their Own Transformation Before It Begins

Shadow AISanctioned LeakageVendor Lock-InGovernance GapSkills Illusion

Between 70–85% of AI initiatives fail to meet their expected outcomes. This paper identifies five structural decisions — made in the earliest stages of adoption — that consistently undermine first-time enterprise AI. They are not technical failures. They are governance, architecture, and competence failures, each avoidable, each compounding over time.

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March 2026 Picks

Pick 1·EY US Newsroom·5 March 2026

Autonomous AI Adoption Surges at Tech Companies as Oversight Falls Behind

Shadow AIGovernance GapSanctioned Leakage

52% of department-level AI initiatives operating without formal approval
78% of leaders say adoption is outpacing their ability to manage risk
45% report confirmed or suspected data leaks tied to unauthorised AI tools in the past year

01 Annotation

EY's March 2026 Technology Pulse Poll quantifies what we describe in our whitepaper as the Governance Gap: over half of department-level AI initiatives are running without formal oversight, and 78% of leaders admit adoption has outpaced risk management. Most telling: 45% report confirmed or suspected data leaks from unauthorised AI tools in the past year alone. The "velocity paradox" EY identifies — the tension between speed-to-market and accountability — is precisely why we argue governance must precede deployment, not follow it.

Maps to: Traps 1, 2 & 4 — Shadow AI, Sanctioned Leakage, Governance Gap

Pick 2·AI Business · Gartner Data & Analytics Summit·16 March 2026

AI Innovation vs. Adoption: Why They Are Misaligned

Skills IllusionGovernance Gap

AI innovation continues to move at a rapid pace, but enterprise adoption remains slow
Two root causes: lack of data foundation and lack of governance model
Without governance, trust never forms — and without trust, adoption stalls

01 Annotation

Speaking at the Gartner Data & Analytics Summit this month, Deloitte's AI Institute head Beena Ammanath put it plainly: enterprises are caught between pressure from leadership to show AI value and foundations that aren't ready. Her two blockers — data readiness and governance — mirror what we identify as the Governance Gap and the Skills Illusion. As she notes: without the right governance model, trust never forms, and adoption stalls. That is the trap. Not the technology — the organisational discipline around it.

Maps to: Traps 4 & 5 — Governance Gap, Skills Illusion

The State of AI: How Organizations Are Rewiring to Capture Value

Skills IllusionGovernance Gap

The flagship industry report our whitepaper draws from directly. McKinsey confirms that 78% of enterprises use AI, but only ~6% qualify as high performers — organisations that have actually redesigned workflows and achieved enterprise-wide impact. That single stat is the central argument of our paper: adoption metrics are not capability metrics. The 94% gap is exactly the terrain 01 operates in.

Maps to: Trap 5 (Skills Illusion) & Conclusion

IBM Security & Ponemon Institute·July 2025

Cost of a Data Breach Report 2025

Shadow AISanctioned Leakage

The definitive quantitative source on the financial cost of ungoverned AI. Shadow AI is now involved in 20% of all breaches, adding $670K per incident. 97% of AI-breached organisations lacked proper access controls; 63% had no AI governance policy at all. These aren't hypothetical risks — IBM put a dollar figure on them. The cost of not governing AI is measurable, and it compounds.

Maps to: Traps 1 & 2 — Shadow AI, Sanctioned Leakage

CTO Magazine·June 2025

The Great AI Vendor Lock-In: How CTOs Can Avoid Getting Trapped by Big Tech

Vendor Lock-In

This article centres on the Builder.ai bankruptcy as a cautionary tale and provides a practical CTO-level playbook for vendor independence — code escrow, data portability, multi-provider architecture. It complements our whitepaper because it goes deeper on the operational 'how to avoid it' side of vendor lock-in, while our paper frames the strategic 'why it matters.' Builder.ai wasn't a fringe startup: backed by Microsoft, the Qatar Investment Authority, $445M raised — and still collapsed overnight, stranding its clients.

Maps to: Trap 3 — Vendor Lock-In

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