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AI Data Center Energy Strategy for Boards
- October 11, 2026
- Posted by: WGA Advisors Inc
Boards must treat AI power demand as a capital, competitiveness, and resilience issue—and govern access, economics, siting, contracts, and assurance accordingly.
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How an accessibility strategy expands market reach
- October 10, 2026
- Posted by: WGA Advisors Inc
Boards can treat accessibility as a market-shaping capability, not simply a compliance fix. This article offers a practical framework for connecting inclusive design across products, channels and service operations to adoption, growth and accountable execution.
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The Productivity Dividend: Who Captures the Gains?
- October 8, 2026
- Posted by: WGA Advisors Inc
AI and automation can raise output per employee, but the resulting value does not allocate itself. WGA Advisors outlines a board-level framework for turning the productivity dividend into durable enterprise value.
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Model Drift: The Silent AI P&L Risk
- October 4, 2026
- Posted by: WGA Advisors Inc
Model drift can quietly erode revenue, weaken controls, and misdirect capital long after an AI system launches. This board-level guide presents a lifecycle framework for detection, accountability, intervention thresholds, and enterprise performance.
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Category Creation in the AI Buying Loop
- September 28, 2026
- Posted by: WGA Advisors Inc
AI answer engines are compressing vendor discovery into machine-mediated comparisons. This article shows how boards and CMOs can make category creation a growth discipline by aligning AI-readable language, proof, and ecosystem education so automated systems guide buyers toward them.
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AI Adversarial Testing Before Enterprise Scale
- September 28, 2026
- Posted by: WGA Advisors Inc
Boards need proof that AI cannot be manipulated before core workflow scale. AI adversarial testing turns red-teaming, evidence, rollback, and accountability into a standing control.
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Why AI Intangible Assets Defy Board Valuation
- September 27, 2026
- Posted by: WGA Advisors Inc
Boards entering 2026 need a clearer way to distinguish durable AI enterprise value from expensed experimentation. This guide connects valuation, impairment, disclosure, and investment governance so directors can challenge assumptions and allocate capital with confidence.
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AI-Native Due Diligence Reshapes Deal Value
- September 26, 2026
- Posted by: WGA Advisors Inc
AI-native due diligence gives boards a disciplined way to test models, data rights, agentic operations, and AI asset value before they commit capital.
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Model Exit Rights Protect AI Investment Value
- September 18, 2026
- Posted by: WGA Advisors Inc
As AI becomes embedded in critical workflows, vendor termination clauses do not protect the full value of the investment. Boards should require portability, evaluation-data custody, transition service levels, and tested fallback plans to make AI services genuinely transferable.
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Governing the AI Investment Portfolio in 2026
- September 16, 2026
- Posted by: WGA Advisors Inc
A board-level framework for governing AI as a disciplined capital portfolio, using stage gates, clear ownership, measured returns, and decisive reallocation to turn AI spend into durable enterprise value.
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