by Atiya Sheikh | Aug 5, 2026 | Board Members, Board Trustees, CEO, CFO, COO, CIO, Emerging Leaders, General Managers, Heads of Divisions, Human Resources (HR), Junior Managers, Leadership Development, Managing Directors, Middle Managers, Non-Executive Board Members, Senior Managers, Women Leaders
As artificial intelligence becomes better at producing answers, the capabilities that distinguish exceptional people are changing.
For most of history, intelligence was limited by access to information. Today, it is increasingly limited by the quality of the questions we ask.
For generations, expertise was often measured by what people knew.
The person with the most knowledge frequently became the expert in the room.
Artificial intelligence is quietly changing that.
Today, information is available almost instantly. AI can draft reports, summarise meetings, analyse data, generate presentations and answer increasingly complex questions within seconds. Tasks that once required specialist knowledge can now be completed by almost anyone with access to the right technology.
This is one of the most significant shifts in the modern workplace.
Not because knowledge no longer matters.
But because knowledge alone is no longer enough.
AI Is Making Answers Cheaper
Throughout history, access to information created advantage.
Today, information has become abundant.
Increasingly, the competitive advantage lies elsewhere.
As AI makes producing acceptable answers faster, cheaper and more accessible, the value of simply having information inevitably declines.
What becomes more valuable is something AI cannot easily replicate.
- Judgement.
- Discernment.
- Curiosity.
- The ability to ask the question nobody else thought to ask.
- The confidence to challenge an answer that appears convincing.
- The wisdom to recognise when context changes everything.
Research reflects this shift. The World Economic Forum continues to rank analytical thinking among the most important skills for the future, alongside resilience, curiosity and lifelong learning. At the same time, organisations are investing heavily in AI while recognising that technology alone does not create competitive advantage. It is how people apply it that matters.
The New Definition of Expertise
Perhaps the most important change is not what AI can do.
It is what people now need to do differently.
For decades, expertise often meant providing answers.
Increasingly, expertise means framing the problem.
The quality of an AI-generated response depends almost entirely on the quality of the thinking that guides it.
A poorly framed question often produces a perfectly convincing—but fundamentally unhelpful—answer.
The opposite is also true.
A thoughtful question can unlock insights that would otherwise remain hidden.
In many organisations, this changes the nature of leadership.
The best leaders will not necessarily be those who know the most.
They will be those who help others ask better questions, challenge assumptions and think more deeply before acting.
The Hidden Risk
There is another consequence that receives far less attention.
Many professionals developed their judgement by completing the routine tasks that AI increasingly performs.
- Drafting papers.
- Analysing spreadsheets.
- Preparing presentations.
- Reviewing contracts.
Those activities were never simply about producing work.
They were how people learned to think.
If organisations automate those experiences without deliberately creating new opportunities for learning, they risk accelerating efficiency while quietly slowing the development of judgement.
The question is no longer whether AI will replace certain tasks.
The question is how future generations will develop the wisdom those tasks once created.
The Leadership Challenge
Leaders therefore face a different challenge from the one many expected.
The goal is not simply to encourage people to use AI.
Nor is it to compete with it.
The goal is to develop capabilities that become more valuable because AI exists.
- Critical thinking.
- Judgement.
- Creativity.
- Influence.
- Ethical decision-making.
- Systems thinking.
- The ability to connect ideas that appear unrelated.
These have always mattered.
Today, they matter even more.
Because as answers become increasingly accessible, the ability to recognise the right question becomes a defining competitive advantage.
Insight: Artificial intelligence is reducing the value of producing acceptable answers. It is increasing the value of recognising which questions deserve to be asked.
The organisations that succeed over the next decade will not simply adopt AI more quickly.
They will develop people who know when to trust it, when to challenge it and, perhaps most importantly, when to ask an entirely different question.
Because the future will not belong to those who can produce the fastest answer.
It will belong to those who can ask the question no machine thought to ask.
Leadership Question
As AI becomes better at providing answers, are you developing people who know how to ask better questions?
The Right Conversation Can Change Everything. Let’s Talk.
Microsoft Work Trend Index
by Joy Maitland | Aug 5, 2026 | Board Members, Board Trustees, CEO, CFO, COO, CIO, General Managers, Heads of Divisions, Human Resources (HR), Leadership Development, Managing Directors, Middle Managers, News & Articles, Non-Executive Board Members, Senior Managers, Women Leaders
Artificial intelligence isn’t making universities less relevant. It is forcing us to rediscover what higher education was always supposed to achieve.
Several years ago, inemmo was commissioned by a UK university to investigate a growing concern.
An increasing number of students were leaving during, or shortly after, their first year.
The university wanted to understand why.
What began as a study into student retention became something much more significant.
As we listened to students describe their experiences, it became clear that they weren’t simply questioning university.
They were questioning value.
Then one student said something that has stayed with me ever since.
“I’m only staying because I need the piece of paper.”
At the time, it sounded unsettling.
Today, it sounds remarkably prophetic.
They Weren’t Rejecting Education
As the interviews progressed, a clear picture began to emerge.
Long before ChatGPT entered everyday conversation, students were already asking questions that feel strikingly relevant today.
“Why am I paying to sit in lectures when I can learn much of this online?”
Some described watching YouTube tutorials that explained concepts more clearly than the lectures they had attended earlier that day.
Others spoke about reading research papers directly or completing specialist online courses.
Several questioned whether they would be better off gaining practical experience while avoiding years of student debt.
It would have been easy to conclude that students no longer valued learning.
The opposite was true.
They valued learning enormously.
What they questioned was where learning created its greatest value.
Perhaps the most surprising finding was not what they wanted to learn.
It was who they wanted to learn from.
Students repeatedly asked for greater exposure to people who had actually done the work.
People who had built businesses.
Led organisations.
Designed products.
Negotiated difficult decisions.
Made mistakes.
Recovered.
Started again.
They respected academic expertise.
However, what they were really asking for wasn’t more information.
It was interpretation.
Not another theory.
But what happened when that theory collided with reality.
Not simply what worked.
But why it worked.
When it failed.
What nobody anticipated.
And what they would do differently today.
One student captured it perfectly.
“Teach me what happened when the theory met reality.”
Perhaps, without realising it, they were asking for something that cannot simply be downloaded.
Judgement.
The Faculty Saw It Too
Interestingly, many faculty members recognised similar challenges.
Several spoke openly about becoming frustrated with traditional lecture-based teaching.
They wanted to spend less time delivering information and more time helping students think critically, solve problems, challenge assumptions and prepare for professional life.
Looking back, perhaps both students and academics had recognised something the rest of us had not.
The real value of higher education was never simply information.
It was transformation.
Information changes what people know.
Education changes how people think.
Those are not the same thing.
Then AI Changed the Conversation
When artificial intelligence entered everyday life, many predicted it would transform education.
Perhaps it has done something even more significant.
It has exposed a question we should have been asking all along.
If universities are no longer competing on access to information…
…where does their greatest value now lie?
Knowledge has become increasingly accessible.
The scarce resource is something altogether different.
Judgement.
Discernment.
Curiosity.
Perspective.
The ability to recognise nuance.
The wisdom to know when artificial intelligence is wrong.
The confidence to make decisions when there is no obvious answer.
These qualities cannot simply be downloaded.
They have to be developed.
Perhaps We’ve Been Measuring Different Things
To be fair, many employers recognised this long before artificial intelligence arrived.
Academic qualifications may open the door, but they have rarely secured the job on their own.
For many years, organisations have increasingly relied on competency-based interviews, assessment centres, case studies and psychometric assessments to understand how candidates think, solve problems and work with others.
Employers have long understood that knowledge alone is not enough.
Capability matters.
What artificial intelligence changes is not the importance of capability.
It changes the relative value of knowledge.
As information becomes easier to access, the ability to interpret it, question it and apply it wisely becomes even more valuable.
Perhaps that is where higher education and employment are beginning to converge.
Universities have traditionally excelled at developing knowledge.
Employers increasingly seek judgement, adaptability, collaboration and the ability to apply that knowledge in unfamiliar situations.
The challenge for the future may not be choosing one over the other.
It may be integrating both more effectively.
The University of the Future
Universities have survived wars.
Economic crises.
Political upheaval.
Industrial revolutions.
They will adapt to artificial intelligence too.
If anything, they may become more important than ever.
But perhaps their purpose will become clearer.
The institutions that thrive may not be those with the biggest libraries or the longest reading lists.
They may be those that become the world’s greatest developers of judgement.
Places where academic rigour is strengthened by practical experience.
Where researchers work alongside entrepreneurs.
Engineers alongside psychologists.
Clinicians alongside business leaders.
Military officers alongside behavioural scientists.
Not because theory has become less valuable.
But because theory gains meaning when it meets reality.
Perhaps universities have never simply been in the knowledge business.
Knowledge has always been the starting point.
Transformation has always been the destination.
Helping people think more clearly.
Question more deeply.
Judge more wisely.
Act more responsibly.
Artificial intelligence has not diminished the importance of higher education.
If anything, it has reminded us why it matters.
Because information can now be found almost anywhere.
Judgement cannot.
Insight: Artificial intelligence has not diminished the importance of education. It has reminded us what education has always been about. In a world where information is abundant, the institutions that create the greatest value will be those that develop judgement, curiosity, adaptability and the confidence to navigate problems that have no textbook answer.
Leadership Question
If information has become abundant, what is the one capability every graduate should possess before entering the workplace?
The Right Conversation Can Change Everything. Let’s Talk.
The future of jobs: World Economic Forum
