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Enhancing Planning Outcomes and Achieving Transformative Solutions



Transformative Outcomes of Collaborative Intelligence (CI) in Higher Education by 2030


This blog is the third in a five-part series on how Collaborative Intelligence (CI) will revolutionize planning in higher education. Building on insights from the earlier posts, this post explores the transformative outcomes CI will make possible by 2030. In their emerging, more central role in planning and decision-making at their institutions, planners will need this overview to have a feel for the potential outcomes in this new world.


Over the next few years, the first wave of improvements emerging from CI-assisted planning will mostly involve doing things better, faster, and cheaper. By 2030, however, CI will usher in an era of unprecedented innovation and problem-solving, enabling us to do things that were not possible before. The characteristics of this new era are portrayed in the figure below and further described in the paragraphs following.


Enhancing Planning Outcomes and Achieving Transformative, Breakthrough Solutions


1. Faster, Innovative, and Inclusive Planning, Decision-Making, and Execution.

These activities will address a wide range of problems and opportunities—operational, tactical, and strategic. They will transform problem-solving and enable higher education leaders to advance innovative, boundary-spanning solutions to a degree never before possible.


2. Enhanced Productivity and Performance.

GenAI will initially boost productivity by improving current processes. This will improve the performance of individuals, teams, and organizations. But these productivity gains are only the beginning. CI will eventually enable higher education to expand its scale and scope and redefine what and how it fulfills its vision and mission, discovering entirely new ways of achieving this expanding set of goals and visions.


3.  Predictive Foresight

Autonomous agents and modeling will improve the capacity of higher education to think, plan, and act for the future. These will enable more refined and timely visions, strategies, and execution and allow for heavy engagement with humans to ensure that human perspectives are fully considered in planning and execution.


4. Achievement of Innovative, Breakthrough Strategies and Solutions.

CI will deliver transformative, strategic outcomes that have been previously unattainable or even unimaginable. These include:


  • Personalized, Adaptive Learning at Scale. Provide customized learning for all learners that greatly improves success rates and perpetually adapts to changing workforce needs. Achieving scale enables moving beyond traditional clientele. Such initiatives will be the centerpiece of breakthrough solutions for higher education in the Age of Collaborative Intelligence.

  • Lifelong Career Planning and Upskilling Delivered in Personalized Teaching and Learning Packages. Continuous support for learning and career growth, beginning in K-12 and continuing to provide continuous, lifelong assessment and upskilling. This service will be provided in partnership with K-12, industry, and government.

  • Scientific Discovery and Tech Transfer. Autonomous agents and models will enhance research collaboration, accelerate research processes, and support commercialization and tech transfer of intellectual property. Agents will also create curricula and engage students seeking to understand and participate in tech transfer. These agentic models could also be part of networks that create jobs and spin-off ventures based on new intellectual property discoveries. (Such job and venture creation could be important in mitigating job losses caused by early-stage AI.)

  • Addressing Complex Global Issues. CI can be used to tackle strategic, complex problems like climate change, enabling higher education to engage in addressing climate change issues on campus and participate in problem-solving with national and global groups.

  • Campus Facility Rightsizing and Affordable Housing.  Most campuses face the challenge of overbuilding and a deficit of the right kinds of space for the Age of Collaboration. CI could be used to optimize the design, revitalization, and utilization of existing and new campus spaces. It could also be used to involve colleges and universities in community-wide initiatives to achieve affordable housing and public/private partnership facilities.

  • Cost Reduction:  GenAI and CI could drive dramatic cost reduction in learning, research, and tech transfer. Linkages between workforce needs and personalized learning could be especially powerful in reducing the price of learning and size of student debt burden.

  • New Roles for Leaders, Faculty, and Staff: CI will be used to redefine leadership and work roles in higher education and foster collaboration. Put simply, these new roles will be necessary for leaders, faculty, and staff to be successful in the Age of Collaborative Intelligence.


By 2030, institutions will achieve early versions of these innovative, transformative outcomes through leveraging GenAI and CI. Early adopters, startups, and think tanks are already exploring many of the solutions that will lead to these advances. More ambitious innovations will cascade over time. As an added benefit, these solutions should also be instrumental in rebuilding public trust in higher education.


 

Full Blog Series:


 

Additional Resources


  • Lisa Bodel, “Your Cheat Sheet for Using AI in Strategic Planning,” Forbes, 8/13/2024.

  • Steve Jones, “Change Management for AI Is All About the Organization.”

  • Abbie Misha, “Unlocking the Power of Creativity and AI: Preparing Students for the Future Workforce,” EdSurge, 4/3/2024.

  • Adrian Stiemach, “How Artificial Intelligence Is Transforming the Job Market: A Guide to Adaptation and Career Transformation,” Forbes Technology Council, 1/10/2025.

  • Mahmudur R. Manna, “Enterprise AI Strategy: What the Industry Is Missing,” AI Advances, 1.10.25

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