The next digital divide isn’t access. It’s capability.
20 Aug 2026 | Amanda Cunningham | Founder, Savvy Pixel®
Access gets people online. Capability enables participation.
For years, the conversation around digital inclusion has understandably focused on access.
Can people get online? Do they have a device? Can they afford connectivity?
Those questions still matter.
But in an AI-enabled world, they are no longer enough.
A new divide is emerging — between people and organisations that simply have access to digital technology and AI, and those that have the confidence, judgement and practical capability to use it well.
And that distinction matters commercially, professionally and socially.
Access is becoming the easy part
AI is increasingly available to almost everyone.
ChatGPT, Copilot, Gemini and countless other AI-enabled services can be opened within seconds.
But access to AI does not automatically create capability.
Being able to type something into an AI system is very different from knowing:
what information is appropriate to give it;
how to provide the right organisational context;
when its output can be relied upon;
when accountable human review is required;
how it fits into an existing role or business process;
and whether using it actually improves the work.
The same principle applies beyond AI.
A business can have a website, five social media accounts, a CRM, a booking system, analytics and an increasingly impressive software stack — and still have a fragmented digital operation.
Technology availability is not the same thing as digital maturity.
This is becoming a business capability issue
I increasingly see businesses asking:
“Which AI should we use?”
When the more valuable questions are often:
What are we trying to improve?
Where is our business knowledge currently held?
Which processes are unnecessarily dependent on individuals?
What information should AI have access to — and what should remain outside it?
Who remains accountable for the outcome?
These are not really technology questions.
They are operational questions.
And that is where the AI conversation is moving.
The organisations likely to gain the most value from AI will not necessarily be those experimenting with the greatest number of platforms.
They will be the organisations that understand their own work well enough to decide where AI belongs, what context it needs and where its boundaries should sit.
The same is true for individuals
Capability matters just as much outside the workplace.
Children and families need more than access to devices.
Employees need more than access to an AI assistant.
Business owners need more than another software subscription.
People need the judgement to understand what they are seeing, what they are sharing, what they can trust and what consequences their digital decisions may have.
That is why I think the language around digital inclusion now needs to broaden.
We should continue to talk about access.
But increasingly, we also need to talk about participation.
Because meaningful participation requires confidence, judgement, understanding and the ability to make informed decisions.
AI makes this more urgent
AI is accelerating the consequences of the capability gap.
Someone with good judgement and strong business context can use AI to research, analyse, organise knowledge, improve processes and make better-informed decisions.
Someone without that foundation can use exactly the same technology to produce more content, more noise, more risk and sometimes more work.
The technology is the same.
The capability around it is different.
That is why I am increasingly convinced that the next stage of digital transformation will be less about giving people access to technology and much more about developing the capability to use it responsibly and productively.
And for businesses, that may become a significant competitive distinction.
From access to capability
Perhaps we need to stop measuring digital progress primarily by what technology people possess.
A better question might be:
What are they now able to do because of it?
Can they make a better decision?
Can they work more effectively?
Can they recognise risk?
Can they protect valuable knowledge?
Can they participate confidently?
Can the organisation continue to operate effectively when people, platforms or AI systems change?
Those are much more meaningful measures of digital capability.
Because access is only the starting point.
Capability is what turns technology into participation, productivity and value.
I’m opening my September diary
A lot of the conversations I’m having with businesses at the moment are no longer about whether they should be using AI or digital technology.
They are about making sense of what they already have.
Where is time being wasted? Where is money being spent without enough return? Where does important business knowledge currently sit? Where could AI genuinely improve the way the organisation works? And where does better structure need to come before more technology?
I’m now opening my September diary for consultancy work with businesses and organisations that want an independent, practical view of their digital and AI position.
That might mean looking at:
digital activity that is consuming time without delivering enough commercially;
existing systems, software and processes that are fragmented or underused;
how AI is currently being used — or where it could be used responsibly;
business knowledge and processes that are too dependent on individual people;
or the wider digital and AI capability the organisation needs next.
This isn’t about adding technology for the sake of it.
It is about understanding the business first and making clearer decisions from there.
If something in this edition has made you think “we probably need to look at that”, you’re very welcome to get in touch.
Or message me directly on LinkedIn.
Originally published through Amanda Cunningham’s LinkedIn newsletter on 20 August 2026.
