Uncertainty is the mainstay of the present global economy.
In the latest NACD BoardTalk blog, Managing Director Abby Curnow-Chavez discusses why strategy, structure and talent matter in uncertain times.
Directors, of course, hear a lot about strategy—and for good reason. A clear strategy is the compass necessary to stay the course, even in turbulent times. And given the current job market, the topics of succession and effective leadership are often at the top of every board’s agenda.
But there is often not enough discussion about the critical interplay between strategy, structure and talent. When a company is failing to execute, or, alternatively, consistently exceeding expectations, the “why” is usually found in the organization’s alignment (or misalignment) of strategy, structure and talent.
Learn more about how strategy, structure and talent are important to your organization's success.
Most Companies Have AI Ownership Backwards: Why AI Doesn't Belong in IT
May 21, 2026
Despite tens of billions in collective investment, a staggering 95% of enterprise AI pilots deliver zero measurable P&L impact, according to MIT’s Project NANDA. The instinct is to blame the technology, the vendors, or the talent shortage, but the data points to a different culprit: organizational design.
A blueprint for footprint
May 21, 2026
In today’s unpredictable industrial landscape, companies need bold, fact‑based decisions that strengthen resilience, protect value, and deliver measurable impact. Alvarez & Marsal’s five‑part Blueprint for Footprint series brings clarity to that challenge.
Lights, Camera, AI: What Consumers Reveal About How AI Is Reshaping Media & Entertainment
March 30, 2026
How are consumers responding to AI across media and entertainment? Explore key insights from Alvarez & Marsal’s Media & Entertainment research and access the full report.
Making Agentic AI Work: Technology Foundations, Operating Model Implications, and Evaluation Criteria
March 19, 2026
A&M’s Digital & Technology Services team explores how organizations can evaluate frameworks, platforms, domain-specific solutions, and hybrid models for agentic AI, and what those choices mean for governance, scalability, and long-term value.
