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Strong brains are the AI strategy

Davos framed strong brains as the foundation of prosperity in the age of AI. Inside a company the logic is simpler. As machines absorb routine work, AI raises the value of human judgment at the exact moment it raises the load on it.

By Krystal Sexton

In January, the World Economic Forum's annual meeting in Davos gave workforce brain health its biggest platform yet. The McKinsey Health Institute, in collaboration with the WEF, published a report titled The Human Advantage, arguing that strong brains are the foundation of prosperity in the age of AI. That same week, the Global Brain Capital Index was released by the Euro-Mediterranean Economists Association, in collaboration with the Global Brain Economy Initiative, the University of Texas Medical Branch, and the Davos Alzheimer's Collaborative. Brain health is being framed, publicly and at the highest level, as economic strategy.

Defining the vocabulary is important. Brain capital is the combination of brain health and brain skills, the cognitive, mental, and emotional assets of a workforce that directly drive business performance, judgment, creativity, adaptability, and empathy. The Human Advantage report estimates that scaling proven brain health interventions could avert 267 million disability-adjusted life years globally by 2050 and generate up to $6.2 trillion in cumulative GDP gains.

As AI absorbs routine tasks, the work that remains is disproportionately the work only healthy human brains do well, including judgment under ambiguity, creativity, reading a room, and adapting when things do not go as planned. AI raises the value of those capacities at exactly the moment it increases the load on them, because adoption itself is change, and change taxes attention, decision-making, and recovery.

The strain is already visible. Gallup estimates that global employee engagement is 20%, its lowest since 2020, and that lost productivity is approximately $10 trillion. Early research points to a subtler risk as well. MIT Media Lab researchers used EEG to study people writing with an AI assistant and found the weakest neural engagement and the lowest sense of ownership among AI-assisted writers, a pattern the authors call cognitive debt.

I wrote in April about AI brain fry, the pattern in which organizations adopt AI tools faster than they redesign workloads, decision structures, and recovery cadence. The WEF reports put an economic frame around the same observation. Organizations that build the brain capital of their people will convert AI into performance. Organizations that do not will find that AI adoption raises stress without increasing output.

The strategic implication is clear. AI strategy and brain health strategy are becoming the same conversation, and the companies that treat them as one will hold the advantage the WEF report described.