AI’s Impact on Business and Education: Join the Power Breakfast

The invitation landed in my inbox with the quiet ping of inevitability. A “Power Breakfast” in Seattle, hosted by a prominent business school, with a single, dominant theme: how artificial intelligence is transforming business and higher education. It’s a subject that has moved from the realm of speculative conference panels to the core agenda of every corporate boardroom and academic senate. As a business journalist who has charted the economic waves from the dot-com bust to the crypto winter, I recognize this moment. This isn’t just another tech trend; it’s a fundamental recalibration of value, talent, and institutional purpose.

Debbie Compeau, the Dean presenting at this event, is pointing directly at the fault line. Her planned discussion points—AI’s role in workforce preparation, the need for business leaders to grasp its organizational impact, the heightened value of human skills—aren’t theoretical. They are the operational challenges keeping CEOs and university presidents awake at night in 2025. The U.S. Bureau of Labor Statistics projects that employment in computer and information technology occupations will grow much faster than the average for all occupations over the next decade, a trend heavily fueled by AI integration. Yet, a recent report from the World Economic Forum stresses that while technology adoption may disrupt 85 million jobs globally by 2025, it could also create 97 million new roles, demanding a radical shift in skills.

This duality is where the real transformation lies, not in the servers running large language models, but in the human systems they disrupt. From my conversations on Wall Street and in Silicon Valley, a clear consensus emerges: AI is first an efficiency engine, then a creativity catalyst, but ultimately a mirror. It reflects the strengths and gaps in our current models of education and management. A CFO at a major retail bank recently told me, “We can now automate 70% of routine financial reporting. My team isn’t becoming obsolete; they’re being promoted. But their job is no longer data entry. It’s asking the right questions of the data, interpreting anomalies, and making strategic recommendations the AI can’t conceive of.” This is the quiet revolution Compeau will address. The technical skill is knowing how to query the system; the indispensable human skill is knowing what to ask.

For higher education, this is an existential challenge wrapped in a logistical one. The traditional four-year degree, with its static curriculum, is facing a competitor that learns and updates in real-time. How does a business school teach marketing when AI platforms can generate a thousand personalized ad variants in the time a student writes a single case study? The answer, as pioneering institutions are finding, is to stop teaching the output and start teaching the orchestration. A study published by the National Bureau of Economic Research found that firms adopting AI see significant productivity gains, but those gains are maximized when paired with complementary investments in human capital and process redesign. This means business education must pivot toward fostering ethical reasoning, cross-functional collaboration, adaptive leadership, and what economists call “complementary skills”—the uniquely human abilities that allow us to direct and derive value from automated intelligence.

This brings us to the most critical point on the Power Breakfast agenda: the partnership between academia and industry. The old model of internships and guest lectures is breaking down. The velocity of change is too great. We are seeing the rise of embedded “innovation labs,” where corporate problems are brought directly into the classroom as live case studies, and company AI tools are made available for student research. Jared Theis, the KPMG managing director moderating the Seattle fireside chat, operates in this space daily. Firms like his aren’t just hiring graduates; they are helping to write the syllabus, ensuring that concepts like algorithmic bias audit trails, AI governance frameworks, and the economics of large-language models are not afterthoughts but core competencies.

The $75 price tag for the breakfast is a micro-transaction in the broader economy of adaptation. What these business leaders are truly investing in is a roadmap. The insights from such gatherings filter directly into capital allocation decisions—do we invest more in new server infrastructure or in reskilling our mid-level managers? They influence talent strategy, shifting recruitment from a focus on GPA to a search for demonstrable agility and critical thinking.

As I look at the Seattle skyline from my desk in New York, the narrative is clear. The story of AI in 2025 is no longer about its miraculous capabilities. That chapter is written. The new story, the one that will define the next decade of economic competitiveness, is about integration. It’s about whether our business leaders can cultivate the wisdom to guide these powerful tools and whether our educational institutions can shed centuries of tradition to build the agile, ethical, and human-centric minds those leaders need. The breakfast in Seattle is one of thousands of such conversations happening globally. It’s where the abstract force of a technology meets the concrete reality of a balance sheet and a student’s future. The transformation is already underway. The only question left is who will be at the table and who will merely be on the menu.

• AI’s role in workforce preparation
• The need for business leaders to grasp AI’s organizational impact
• The heightened value of human skills
• AI as an efficiency engine
• Partnership between academia and industry
• Shift toward fostering ethical reasoning and collaboration