From Cognitive Creation to Capability Transfer in the AI Age
For decades, educators have been encouraged to move learners upward through Bloom’s taxonomy—from remembering and understanding to applying, analysing, evaluating and finally creating. In the revised taxonomy, Create sits at the highest cognitive level. That hierarchy has served education well. But the world for which it became so familiar is changing.
Artificial intelligence can now remember almost endlessly, explain instantly, analyse large volumes of information, generate alternatives, compare options, write code, produce designs and create increasingly sophisticated outputs. A student can now appear to have travelled a long cognitive distance without necessarily having travelled it at all.
If machines can increasingly help us create, is creation still the end of educational progression?
Perhaps higher education needs to look one step further. I call that step Capability Transfer.
Creation Tells Me What You Can Do
Creation remains powerful evidence of learning. A student designs a machine. A researcher develops a method. A scholar proposes a framework. A doctoral candidate produces new knowledge. A team builds a prototype. Each demonstrates capability.
But there is another question universities rarely ask: What became possible in others because of what you learned, created or discovered?
Creation demonstrates individual capability. Capability Transfer demonstrates the ability to multiply capability.
That distinction may become increasingly important in the AI age. The value of higher education may lie less in proving that one person can produce an output and more in showing that one person can make many others more capable of producing meaningful outputs.
From Cognitive Elevation to Capability Multiplication
Bloom has helped us think about cognitive elevation. Remember less, understand more. Do not merely understand—apply. Do not merely apply—analyse. Do not merely analyse—evaluate. And eventually, create.
I would not casually add a seventh rung to Bloom. The taxonomy was designed for a particular purpose. Capability Transfer may be better understood not as another cognitive level, but as a post-creation dimension of higher education.
Create asks: What can I produce? Capability Transfer asks: Whom can I enable?
The transition is profound because the unit of achievement changes. The focus moves from the learner’s own accomplishment to the capability that the learner can generate around them.
What Capability Transfer Looks Like in a University
Consider a researcher. Publishing a strong paper demonstrates research capability. Developing a younger researcher who can independently identify a problem, frame a question, design an investigation, withstand criticism and eventually mentor others demonstrates something more. The first produces research. The second produces research capability.
The same applies to teaching. One teacher may explain thermodynamics beautifully. Another may enable students to interrogate assumptions, construct experiments, challenge explanations and eventually teach themselves. The first transfers knowledge. The second transfers the ability to acquire and create knowledge.
A professor who designs an excellent course has created. A professor who develops colleagues who can redesign their own courses has transferred capability. A student who develops an innovative prototype has created. A student who builds a team in which others learn to solve problems has begun multiplying capability.
A doctoral supervisor may produce doctorates. A deeper contribution is to produce independent intellectuals who establish research groups, challenge existing knowledge and develop scholars of their own.
Knowledge Transfer Is Not Capability Transfer
Universities have always transferred knowledge. But knowledge transfer and capability transfer are not the same. I may tell someone what I know without making the person capable. I may demonstrate a skill without enabling independent performance. I may even provide such a good solution that I deprive the learner of the struggle required to develop judgement.
Capability Transfer may include knowledge, skills, judgement, methods, confidence, networks, opportunity, intellectual discipline and eventually agency. The destination is not dependence. The destination is independence.
A successful transfer has occurred when the recipient increasingly needs the source less, not more.
That suggests a demanding question for every teacher, mentor, supervisor and university leader: Did people become more capable because I was there?
AI Makes This Question Urgent
This is no longer only a philosophical question. Generative AI is already improving task performance without necessarily producing equivalent learning. A student may submit an impressive report without becoming an impressive thinker. A researcher may produce a polished synthesis without having developed equivalent scholarly depth. A manager may generate a sophisticated analysis without acquiring the judgement to know when it is wrong.
Visible output is becoming weaker evidence of invisible capability.
Higher education will therefore need new evidence of cognitive elevation. Capability Transfer could become one such evidence because sustained capability in others is much harder to manufacture than a polished output.
Create May Become Cheaper
For much of educational history, creation was scarce because the knowledge, tools and intellectual assistance required for creation were scarce. That scarcity is disappearing. AI is lowering the threshold for producing code, presentations, designs, simulations, literature reviews and many forms of creative work.
Over the next decade, creation may become progressively democratised. That is a positive development. But it also means that simply asking a graduate to “create something” may no longer represent the summit of educational ambition.
The questions may have to move further: Can you create something worth creating? Can you judge its consequences? Can you enable others to become capable creators themselves?
Creation may become abundant. Capability multiplication may remain scarce.
From Teacher to Capability Multiplier
This also changes the meaning of teaching. The teacher as content provider is already becoming less central. AI can explain the same concept repeatedly, at different levels and in different languages, without fatigue. But the teacher who can recognise potential, provoke intellectual discomfort, design difficult problems, challenge weak reasoning, connect learners with opportunity and progressively withdraw support becomes more important, not less.
The familiar progression may therefore continue: Sage on the Stage → Guide by the Side → Pack at the Back. And perhaps there is one more stage: Step out of the way.
The learner has acquired sufficient capability to proceed independently. A teacher’s success should eventually make some dimensions of the teacher’s own intervention unnecessary. That is not diminution of the teacher. It may be the highest achievement of teaching.
Assessment Would Also Have to Change
If Capability Transfer matters, it cannot be measured through another three-hour examination. Its evidence would lie in what happens around the learner. Did the student mentor someone? Did a research scholar develop a reusable method? Did a team leader make weaker members stronger? Did an innovator document a process so that others could replicate or improve it? Did a student create a tool that enabled a community to solve its own problem?
Portfolios of the future may therefore need to capture not only “What did you produce?” but also “What capability did your work leave behind?”
Perhaps the Real Progression Is Different
The progression of higher education may ultimately be less about accumulating content and more about widening the radius of one’s capability. At first: I can understand. Then: I can do. Then: I can judge. Then: I can create. And eventually: I can enable others.
At an even higher level: those I enable can enable others. Now capability has begun to propagate. Education has moved beyond personal advancement and become institutional and societal capacity.
The University Should Leave Behind More Than Graduates
Universities frequently describe their outputs in numbers: graduates produced, papers published, patents filed, start-ups created and placements achieved. These are useful measures. But another question may become increasingly relevant: How much capability did the university multiply?
How many people became researchers because someone taught them how to research? How many became problem-solvers because someone refused to give them ready answers? How many became entrepreneurs because somebody gave them an opportunity rather than merely a lecture on entrepreneurship? How many teachers became better teachers because another teacher shared not notes, but judgement?
These effects rarely appear on a marksheet. Yet they may represent some of the most valuable outcomes of higher education.
Beyond Create
Bloom helped education understand that remembering cannot be its destination. The AI age may force us to confront another possibility: perhaps creation cannot be the destination either. Not because creation has become unimportant, but because creation will become accessible to far more people—and increasingly to machines.
Human development may therefore have to move from cognitive elevation to capability multiplication; from asking “What can you create?” to asking “Whom can you enable?”
Creation leaves behind an output. Capability Transfer leaves behind people who can create outputs.
And perhaps the most enduring evidence of education is this: the capability survives the person who first transferred it. That may be the step beyond Create that higher education now needs to begin exploring.
Author
Dr. Neeraj Saxena is a former Scientist at TIFAC/DST and co-author of Educational Roadmap of India's Technology Vision 2035, with subsequent advisory roles at AICTE spanning higher education policy and implementation. He is currently Pro-Chancellor of JIS University, Kolkata, and publishes on AI-induced transformation in education through the Education2047 platform [nrj2000.blogspot.com] & [nrjsaxenajisu.substack.com]g here...