EQ training is failing leaders in the AI era. Here’s the brain science concept that can replace it

The article argues that leaders need broader "neurointelligence" rather than just EQ to manage the AI era, emphasizing metacognition, brain health, and human cognition. It cites research suggesting fewer than 5% of leaders are strong in both goal and people focus and notes McKinsey’s view that investing in brain health will be a critical differentiator in 2026 and beyond. The piece is opinion-based and has limited direct market impact.

Analysis

This is more than a soft-skills narrative; it is a demand-shift argument for the training stack around AI adoption. If management teams buy the premise that productivity now depends on metacognition, cognitive limits, and decision hygiene, the spend likely migrates away from generic leadership/EQ workshops toward higher-credibility offerings tied to neuroscience, decision science, and AI workflow design. That favors vendors with enterprise distribution and evidence-based positioning, while commoditized coaching content risks becoming budget noise.

Second-order impact: the real monetization is not employee sentiment, but change-management throughput. Firms that help managers reduce AI-generated groupthink, improve prompt quality, and separate human judgment from machine output should see higher attach rates in L&D, consulting, and productivity software. Over 6-18 months, this could create a bifurcation between “nice-to-have” HR tools and platforms that can prove measurable lift in decision speed, adoption, and retention.

The contrarian risk is that this theme is intellectually compelling but operationally hard to buy. Budget holders may re-label existing leadership programs rather than add incremental spend, which limits near-term revenue upside for pure-play training names. Also, the strongest tailwind arrives only if enterprises conclude AI rollout is stalling on manager capability; if adoption stays smooth, this becomes a slow-burn content trend rather than a budget line expansion.

Net: the better expression is not a broad long on HR education, but a long/short on vendors with defensible enterprise workflows versus generic training assets. The catalyst window is the next 2-4 quarters as companies finalize 2026 budgets and decide whether to fund AI enablement through software, consulting, or internal training.

Key Decisions for Investors

• Long MSFT / short a basket of generic corporate training and coaching names over the next 6-12 months: the likely spend shift is from standalone EQ content to AI-integrated workflow and productivity tooling; risk is that budgets stay flat and the thesis takes longer to monetize.
• Long LinkedIn/enterprise learning exposure via MSFT optionality or partners if available; 12-month horizon. The best leverage is from companies that can embed neuroscience/decision-making content inside existing enterprise distributions rather than sell a new category from scratch.
• Avoid chasing pure-play EQ/leadership content vendors on this headline alone; if anything, wait for evidence of incremental AI-readiness budget in 2H26 earnings cycles. The risk/reward is poor if this is merely a branding refresh of existing spend.
• Pair long a governance/decision-support software name with short a generic HR services name if the market starts pricing 'brain health' as a budget unlock. The winner is the product that changes behavior and can be measured, not the one that sounds smartest in a keynote.