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A featured contribution from Leadership Perspectives: a curated forum reserved for leaders nominated by our subscribers and vetted by the Education Technology Insights APAC Advisory Board.

Maria G. Burns, Tenure Track Faculty Member, Information Science Technology Department & Director, Executive Leadership & Technology Training Program

Judgment Will Define the AI Era
Maria G. Burns
Technology Judgment Authority
The future workforce will comprise two types of professionals: those who give prompts and direction to AI, and those who take shortcuts and over-rely on AI, letting AI make decisions for them.
The most sought-after capability for technology leaders and the business world entails judgment when working in Human-AI Collaboration (HAC) projects. When making corporate decisions, it is tempting to over-rely on AI for the fast completion of complex tasks. However, companies still need to allocate time and resources to review, correct, and fine-tune the final project.
Preparing Graduates for a Technology-Driven Future
Universities serve as a bridge from higher education to the real world of industry. It is important to adapt course curricula with content, activities, and case studies that reflect the rapidly changing industry. Universities need to work harder to catch up with the new career paths. This is vital, as in recent years, the industry has redesigned job descriptions, seeking young professionals with more STEM capabilities and the ability to work with AI, robotics, digitalization, blockchain, automation, digital twins, and other ground-breaking tools and protocols.
Separating Lasting Innovation from Passing Hype
Quantum Computing and Space Exploration breakthroughs will be the next coolest things. The impressive quantum computing capabilities instigate the need to build quantum frameworks that are robust enough to withstand radiation exposure, extreme temperatures, and spaceflight stress. Second, AI autonomy can help with both global supply chain optimization and deep-space missions. Quantum-inspired algorithms can generate a new level of tech autonomy, thus saving hours in information dispatch, analysis, and action.
"While business buzz words discuss resilience, the ability to overcome supply chain bottlenecks, and efficiency, it seems that Antifragility is the answer to almost all of the corporate challenges."
Generative AI, Agentic AI, is being promoted as the panacea that will solve corporate problems, or as the modest investment that will be able to replace human intellect. The current AI capabilities mandate thorough human intervention and corrections. Hence, an impressive demo may be a cool marketing tool, yet the truth is, human employees are needed, as corporate “checks and balances”.
Why Antifragility Matters in Leadership
The concept of Antifragility, is by far the most significant leadership lesson I use to mentor my students and professionals. While business buzzwords discuss resilience, the ability to overcome supply chain bottlenecks, and efficiency, it seems that Antifragility is the answer to almost all of the corporate challenges. Coined by Nassim Nicholas Taleb’s book, antifragility goes beyond resilience: It is a person or institution’s ability to thrive during crises and setbacks. At the University of Houston, most of our students are working full-time; many are U.S. Veterans and first-generation students. As our students seek mentoring to overcome academic, financial, or personal challenges, antifragility is an inspiring concept that has helped many.
Building the Next Generation of Technology Leaders
First, investing in high-tech and AI systems. Human-AI Collaboration (HAC) is the future of project management. To succeed in this, we need to train our students in catching AI errors or hallucinations, checking AI output for veracity, while remaining ethical in the use of AI.
Second, the ability to produce a stable corporate structure, despite market changes and global uncertainties. As technological innovations revolutionize the global setting, a leader’s ability to understand these changes while moving confidently and successfully is key.
Third, the ability to compile intelligent knowledge across disciplines and domains. We live in the era of information overflow, which may be good, yet requires the perception, experience, and foresight of classifying the valuable, actionable info. AI tools can help professionals and companies thrive. The ability to blend disciplines will help innovate.
Fourth, we must recognize that the geopolitical trends are not foreign to our corporate sustainability. We must study America’s partnerships, examine trade agreements, and observe the activity of trade blocs. Some professionals consider that geopolitics is irrelevant to our business success, yet this is not the case.