Digital coworkers are no longer hypothetical. AI-driven agents—agentics—are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream—they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.
Read MoreParadox of Purpose: How the Quest for Meaning Reshaped Data Culture and Leadership
As we entered the 2010s, corporate America underwent a seismic shift. The relentless pursuit of efficiency that characterized the 1990s and early 2000s gave way to a new paradigm—one that prioritized purpose and profit. While addressing crucial issues of employee burnout and societal expectations, this transformation inadvertently set in motion a chain of events that would profoundly impact data culture and leadership across organizations.
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AI generated
Every system is perfectly designed to get the result that it does
What if employees could enter their credentials and skills, share their problem-solving interests, and get dynamically assigned to a team based relevant to the organization’s needs? No more silos. The organization could also crowdsource expert citizen engineers with similar interests and skills for inside-outside problem-solving, where appropriate.
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