The AI GPS: A Dashboard for the Enterprise CFO

Many corporations are starting their #AIjourney in the wrong way. They make two mistakes. First, they lack an #AIstrategy. Second, they don’t engage the right members of their senior management teams in their AI decisions. As they face skyrocketing AI charges, #CFOs find themselves in the middle of a tug-of-war among the corporation’s various organizations. I describe a four-graph #dashboard that acts as the corporation’s #AIGPS. The CFO owns the dashboard. The executive team uses the dashboard to monitor AI strategy’s performance, and the CEO uses it to communicate the corporate AI efforts. 

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The AI Delegation Trap and the Productivity J-Curve

The Productivity J-Curve best explains AI’s productivity paradox. The investments across different categories beyond technology initially depress measurable output. Rather…

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Adaptive and Humanoid Robots

Embodied AI is the next AI frontier. Adaptive and humanoid robots will play a key role in many industries. Beyond the technology challenges that remain before conquering this frontier, how should we view embodied AI? Will it be the cause of massive job losses in various industries, or an opportunity to improve productivity by forming collaborative teams that combine humans with intelligent machines? We define four dimensions to answer these questions.

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Enterprise AI is Infrastructure You Build, Not a Utility You Rent

Under what conditions will #AI have a lasting impact on the #enterprise? This is a fundamental strategic question for enterprise leaders. Approaching it as a utility would imply that the bulk of the investments will be borne by others. But this could impact how enterprises scale their AI efforts. Approaching it as infrastructure impacts what the enterprise builds.

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Preparing the AI-First Enterprise Workforce for the Age of Agents

As AI agents become more capable, how should the roles and responsibilities of the AI-first enterprise employees evolve? Which skills will matter at each level, and how will technical and business teams collaborate to effectively leverage agents and agent-based systems? As the capabilities of agents advance, employees will move from executing tasks to supervising workflows, orchestrating agent collectives, and, ultimately, setting mission-level strategy. Preparing for this transformation requires a clear view of how roles evolve across the six levels of AI agents, and how responsibilities will shift among AI specialists, application users, and supporting teams.

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