Future is here
In 2017 Andrew Ng from Stanford AI Lab said: "AI is the new electricity. Just as electricity transformed almost everything 100 years ago,… every industry will transform in the next several years."
Jensen Huang, NVIDIA's CEO, have echoed this view early last year: "Generative AI is not a hype cycle... This new way of computing, this new way of solving problems is here to stay, and it's going to touch literally every single industry."
On February 20, 2025, a new report, authored by Josh Freeman and titled "Student Generative AI Survey 2025" was published by the Higher Education Policy Institute (UK), examining how undergraduate students are using AI tools.
The Report confirms that AI Revolution is well underway in higher education:
92% of students now use AI in some form
Only 8% of students report using no AI tools whatsoever
88% have used AI for academic assessments
This isn't a trend—it's a fundamental shift that has already happened.
Students have already adapted to the new reality
The survey reveals that students have not only embraced AI but understand its crucial role in their education and future careers:
67% believe AI skills are essential to thrive in today's world
40% believe AI could produce work worthy of good grades
45% of students had already been using AI before arriving at university
Students recognize the value proposition of AI in their education:
51% use AI because it saves them time
50% believe it improves the quality of their work
40% value the instant support it provides
Students from STEM disciplines particularly understand the potential, with 45% confident that AI can produce quality work in their field. They're not waiting for permission—they're preparing for their future careers.
Kids are most generous and kind
One of the most beautiful aspects of this survey is how forgiving kids are toward failings of adults. Despite inadequate support that is most detrimental to their future success, students are remarkably charitable in their assessments.
42% say staff are well-equipped to support them with AI /and we know that this is impossible/
76% believe their institutions could spot AI use in assessments /and we know that this is not true/
These figures are suspiciously high given other data points.
But our kind children generously comply with stupid policies: 53% avoid AI for fear of being accused of cheating, only 25% consider it acceptable to include AI text in assignments after editing /even though many more actually do it/.
Fact: institutions are failing their students
Despite students' charitable views, the data paints a damning picture of institutional readiness:
Only 30% of students feel encouraged to use AI by their institutions
38% receive unclear or contradictory messages about acceptable AI use
40% believe AI-generated content would get good grades, yet institutions focus on detection rather than integration
Institutions are extremely weak when it comes to AI education and support. Only 36% support students in improving their AI skills, only 26% of institutions provide AI tools and 31% of institutions are actively discouraging or banning AI use.
Student comments reveal the frustration behind these numbers:
"It's still all very vague and up in the air if/when it can be used and why. It seems to be discouraged without the recognition that it will form an integral part of our working lives."
"Simply banning it and not understanding how most students use it or providing resources on AI literacy is more likely to lead to poor and inappropriate use of AI in an assessed context."
"They have not adequately considered the differences in the application of AI in different disciplines, leading to a one-size-fits-all policy that limits our learning."
Is higher education doomed?
The fundamental question is whether higher education can adapt before it becomes irrelevant. With 67% of students believing AI skills are essential for the future, yet only 36% receiving institutional support to develop these skills, we face a critical gap.
The data suggests most institutions are taking a fear-based, defensive approach: 80% have clear policies about AI use in assessments; 76% of students believe their institution can detect AI use – and this implies that institutes are talking about this. But only 29% feel their institution encourages AI use, revealing a primarily punitive rather than constructive approach.
As AI capabilities continue to grow exponentially, this gap between student needs and institutional response will only widen. If universities continue to treat AI as primarily a threat to assessment integrity rather than a fundamental shift in how knowledge is created and accessed, they risk becoming obsolete.
The institutions that survive will be those that recognize what students already know: AI is not just another tool but a transformation in how we learn, work, and think.
Ethiopia: get ready
While this survey focuses on UK institutions, the implications for African universities (Ethiopian in particular) are potentially even more severe. Several factors suggest the AI revolution could create an unprecedented crisis for these institutions:
The leapfrog effect
Much like how many developing regions skipped landline infrastructure and moved directly to mobile technology, students in Africa may bypass traditional educational approaches and embrace AI tools. This survey already shows 45% of students had AI experience before university—a percentage likely to grow rapidly worldwide regardless of institutional infrastructure.
With free versions of powerful AI tools accessible to anyone with an internet connection and a smartphone, African students can access capabilities that were previously available only to those with extensive research resources or library access. This democratization of knowledge access threatens the traditional value proposition of universities in regions where physical educational resources are scarce.
The widening global educational divide
The survey reveals troubling digital divides even within the relatively wealthy UK context, with socioeconomic status, gender, and discipline affecting AI adoption. These divides will likely be amplified in Africa, creating a multi-tiered system where:
Elite universities with resources to adapt curriculum and provide advanced AI tools
Mid-tier institutions struggling with outdated assessment methods
Resource-constrained institutions unable to upgrade infrastructure, train faculty, or integrate AI
The 20% of students in this survey who note AI tools are "too expensive" hints at a more significant barrier in Africa/Ethiopia. Without institutional access to premium AI tools, students with financial means will gain substantial advantages over their peers.
The faculty readiness crisis
The survey shows only 42% of UK students believe their faculty are well-equipped for AI integration—and this represents a significant improvement from 18% the previous year. In Africa, where faculty often have fewer professional development opportunities and higher teaching loads, this readiness gap could be catastrophic.
African/Ethiopian faculty may face an impossible dilemma: either ignore the AI revolution and become increasingly irrelevant, or attempt to integrate technologies they haven't been trained to use and don't have institutional support to implement.
The policy paralysis trap
Many African institutions operate within highly bureaucratic systems with centralized policy development. The survey shows even UK universities struggle to create coherent AI policies. African institutions might find themselves in policy paralysis—unable to develop guidelines quickly enough to match the pace of AI development and adoption.
This creates a scenario where institutions either:
Ban AI tools entirely (unenforceable and counterproductive)
Ignore the issue (allowing unguided and potentially problematic use)
Adopt policies from Western institutions without local adaptation (potentially unsuitable for local context)
The potential for innovative disruption
However, the crisis also presents opportunities. Institutions in Africa might actually have advantages in adapting to AI if they:
Face fewer entrenched traditions and bureaucratic barriers to change
Embrace AI as a solution to resource constraints rather than a threat
Develop assessment models that assume AI use rather than fight against it
Create collaborative networks to share faculty development resources
Smartest Ethiopian institutions that survive may leapfrog traditional models and emerge with educational approaches better suited to a world where AI is ubiquitous.
The question is whether leadership in these institutions will recognize the inevitability of this transformation before their students leave them behind.
Let us get to work!