Bruce Dahlgren is the CEO of Anthology. It is a seasoned technological framework with more than 30 years of experience in leadership.
I recently had the opportunity to attend a global gathering to discuss the future of education. In a cat by the fireside on “the empowerment of teachers and the teaching profession”, we discussed a central truth: artificial intelligence (AI) can be a powerful ally in education, but only when deployed with clarity, care and confidence. This message is particularly relevant in higher education today, where the use of AI is accelerating, but the structures to support it always take shape.
The AI is already reshaping how we work, teach and learn, and higher education establishments identify new ways of going forward with clarity and confidence.
Recent surveys show a growing gap between the use of students and institutional preparation. A study of Digital Education Council revealed that 86% of learners Use an AI in the world in their studies, while reporting inside the superior ED shows most institutions have no policies for the use of AI at the company level. This difference has an important opportunity: before achieving the full potential of AI, institutions must first build a base of confidence, both internally and externally.
Understand disconnection
AI quickly wins adoption. Learners use AI to generate ideas, study more efficiently and automate tasks such as taking notes. The teachers explore how AI can support the classification, administrative tasks and individualized comments. These first use cases demonstrate the potential of the AI, but they often take place in the absence of clear institutional frameworks.
The result is a fragmented adoption. AI is used, but often without structure, support or alignment between the departments. Return to this challenge requires coordinated leadership to develop responsible policies, communicate clear expectations and strengthen confidence in the institution.
Responsible adoption begins with governance
Rather than focusing only on emerging tools, institutions can start by asking clear and fundamental questions:
• Who defines AI policy?
• How will data and ethics be managed?
• What systems guarantee responsibility and transparency?
A solid interfunctional collaboration can help managers ensure that AI tools are deployed in a thoughtful way. With shared policies and clear standards, institutions can create coherent and inclusive experiences that benefit all learners. Above all, educators and administrators must remain in control; Technology should support, and not replace human decision -making.
The value of AI through the education ecosystem
AI offers significant advantages for each part of the university community.
The generative AI can improve the efficiency of university operations by automating routine tasks, surfaced information more quickly and allowing more intelligent resources. For example, the AI can rationalize administrative workflows such as planning, treatment of admissions and students' communications – manual reduction workloads and response times.
It can improve decision -making by analyzing large volumes of data to identify trends, risks and opportunities faster than traditional methods. In fields as IT and installation management, AI can optimize maintenance calendars and predict service needs. By managing repetitive tasks and offering predictive information, AI frees the staff to focus on more strategic and high impact work – ultimately helping establishments to operate more effectively and offer better experiences for students and teachers.
For students, AI provides individual support; And for teachers, he rationalizes administrative tasks and allows educators to focus on teaching and learning.
Support literacy and inclusion
Employers are increasingly looking for graduates who can take advantage of AI and take advantage of AI responsible. Institutions play an essential role in the preparation of learners to use AI ethically, effectively and with the awareness of its limits in real contexts.
To maximize these opportunities, institutions can prioritize the digital and ethical literacy of AI. Create environments for teachers and learners who encourage reflection, survey and responsible use. I noticed that certain institutions introduced exercises where students engage with the answers generated by AI, then evaluate their precision and logic, creating critical thinking and mastery of AI in tandem.
Open dialogue, pilot programs and interfunctional working groups can help create a solid alignment across campus. When institutions adopt a proactive and inclusive approach, they can strengthen confidence and preparation for continuous innovation.
A future built on confidence
AI can be a powerful tool to allow personalized learning, dynamic evaluation and more support focused on the student. It allows educators to focus on creativity and connection, and it helps students prepare for a world where adaptability and digital control are essential.
But as roles and expectations are evolving, the adoption of carefully innovation is essential. I think the real opportunity lies in the direction of intention. Institutions that prioritize confidence today could be the most equipped to shape the most advanced and advanced approaches of the man of tomorrow.
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At Learnopoly, Finn has championed a mission to deliver unbiased, in-depth reviews of online courses that empower learners to make well-informed decisions. With over a decade of experience in financial services, he has honed his expertise in strategic partnerships and business development, cultivating both a sharp analytical perspective and a collaborative spirit. A lifelong learner, Finn’s commitment to creating a trusted guide for online education was ignited by a frustrating encounter with biased course reviews.