Stone Center on Inequality and Shaping the Future of Work Launches at MIT
Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.
Digital
How Zak Brown Led the Revival of McLaren Racing
The CEO of the F1 champion-winning team discusses the hurdles he faced reversing McLaren’s negative momentum.
Read MoreWhy Your Company Needs a Chief Data, Analytics, and AI Officer
How to define the role, provide a clear mandate, and ensure they’re positioned to deliver value for the company.
Read MoreCustomers Expect Empathy. Here’s How to Deliver It.
When people feel they’re treated empathically by a brand, they’re more likely to remain loyal and recommend it to others.
Read MoreThe 3 Types of Customers Who Buy Smart Products—and How to Market to Them
Selling to comfort-seekers, purpose-seekers, and efficiency-seekers.
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Connected Intelligence, Agentic Reality
The CDAO Summit in Boston highlighted the importance of connected intelligence in retail, exemplified by the collaboration of human and artificial intelligence (HI + AI = ECI). Panelists from major companies discussed AI’s practical applications, emphasizing reliable metadata, real-time responsiveness, and seamless integration into workflows, underscoring the critical role of governance and cultural acceptance.
Read MoreDesigning a Successful Agentic AI System
To realize the technology’s promise, prioritize outcomes—not tasks.
Read MoreWhat Consumers Really Want Brands to Do About Social Issues
New research finds that when brands link social action to their core business, they earn higher trust, broader appeal, and long-term loyalty from customers.
Read MoreHow to Spark—and Steer—Disruptive Innovation
An HBR Executive Masterclass with Scott D. Anthony.
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Workslop and the Erosion of Critical Thinking: Why ECI is the Executive Antidote
In this article I cover the phenonemon of workslop also known as AI slop. With the advent of AI powered tools integrated in office suites and the mandate to leverage AI tools some workers are over relying on AI generated otput without questioning and verifiying its content. This often leads to confusion for the receiver of AI slop requiring re-work and extra time spent on remediation. The ECI formula can help reduce workslop by applying the framework. I cover some aspects leaders can put in place today to tackel this issue.
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