The new era of IT
For decades, IT looked like it belonged to the people who could memorise syntax and write flawless documentation. That era is over. The AI-native era that's replacing it runs on exactly the way the dyslexic mind is wired — and we're not adapting to it. We were made for it.
There's a quiet revolution happening in technology, and almost nobody is naming it correctly. We keep saying "AI is changing IT." True, but vague. Here's the sharper version: AI is dismantling the exact parts of IT that used to gatekeep it — and elevating the exact parts that dyslexic minds do naturally.
I'd know. I'm dyslexic, and I've spent thirty years building systems. For most of those years, the field handed its rewards to the people who could hold syntax in their heads, spell flawlessly, write tidy documentation, and recall the right API signature on demand. None of that ever came easily to me. I got where I am by seeing the whole system at once, spotting the pattern nobody else saw, and finding the route around the wall.
It turns out I was early. Because that — not the syntax — is what the new era of IT is actually made of.
Look at what AI coding and analysis tools now do without breaking a sweat: write the boilerplate, fix the syntax errors, generate the documentation, translate between languages, recall the function signature, produce the first draft of the config. The entire literacy-heavy layer of technology work — the layer that historically taxed dyslexic engineers hardest — is being automated into the background.
So what's left? What goes up in value when the rote layer collapses?
The data is blunt about it. McKinsey, scanning 11 million-plus job postings, found demand for AI fluency has grown sevenfold in two years — and framed the future of work as a partnership where humans own the judgment, framing, and architecture while machines handle execution. The World Economic Forum's Future of Jobs 2025 puts analytical thinking, creative thinking, systems thinking, resilience and curiosity at the top of the rising-skills list. Microsoft describes the company of the future as "AI-operated but human-led."
Read that list again — judgment, framing, architecture, pattern-finding, systems thinking, lateral creativity, seeing the whole. That's not a list of generic "soft skills." In an IT context, that's the job description for the people who design the systems instead of just typing them. And it's a remarkably precise description of dyslexic thinking.
"Dyslexic thinking" isn't a diagnosis — it's the name for a cluster of cognitive strengths that show up alongside dyslexia: pattern recognition, big-picture reasoning, spatial and visual thinking, lateral problem-solving, and an instinct for narrative. LinkedIn now lists it as an official skill. Here's how each one lands in the AI era of technology.
Architecture → seeing the whole machine
AI generates components. Someone still has to hold the entire system in their head and know how the pieces fit, fail, and scale. Dyslexic minds tend to think in whole shapes before details — which is exactly what good architecture demands.
Data & security → spotting the anomaly
Finding the one signal in a flood of noise is the core skill of data work and cyber defence. It's also, repeatedly, the strength dyslexic analysts name first.
Innovation → joining distant dots
The breakthroughs come from connecting things that don't obviously connect. AI is brilliant inside a domain; the human edge is reaching across them. That cross-wiring is native dyslexic territory.
Modelling → thinking in diagrams
So much of IT is still trapped in linear text. Complex systems reveal themselves far better as maps and models — and many of us were never able to think in straight lines anyway.
Leadership → making complexity land
Turning a tangled system into a story a board or a team can act on is leverage. Dyslexic thinkers tend to be strong simplifiers and communicators of the big idea.
Ambiguity → finding the route around
A lifetime of navigating systems that weren't built for you is, functionally, advanced debugging practice. Novel, ill-defined problems are where we're most at home.
This isn't a feel-good story. It's a talent strategy, and the people whose job is to win at the frontier of technology have been quietly acting on it for years.
Start with the most demanding IT environment on earth: signals intelligence. Britain's GCHQ — the agency at the centre of UK cyber defence — actively recruits dyslexic thinkers and runs at roughly three to four times the national average of dyslexic staff. They don't call it inclusion. They call it mission critical.
Tackling these challenges requires people who can connect ideas, think visually and use their intuition. These are qualities we see a lot of in our dyslexic colleagues. — Jeremy Fleming, former Director, GCHQ
Their own analysts describe it plainly: sifting vast data streams, dyslexia helps them see the bigger picture and spot the patterns others miss. Across the Atlantic, US geospatial-intelligence teams have been piloting the same approach inside their cybersecurity programmes — run by the cyber office, not HR, because it's a performance bet.
And it isn't confined to spy agencies. In 2022, LinkedIn — with Made By Dyslexia and Richard Branson — added "Dyslexic Thinking" as an official skill you can list on your profile, and Dictionary.com added the term to the language. EY and Deloitte have both mapped dyslexic strengths directly onto the competencies the future workplace needs.
Here's the part I find genuinely thrilling. For my whole career there was a tax on being a dyslexic technologist — the energy spent wrestling spelling, formatting, dense documents, the mechanics of getting the idea out in the approved shape. AI just paid that tax for us.
Speech-to-text, summarisation, instant drafting, code generation, transcripts — every one of these removes friction that used to sit between a dyslexic mind and its output. The energy that went into compensating now goes straight into the strengths: the architecture, the pattern, the leap. Made By Dyslexia's research found 72% of dyslexics already treat AI tools as the launchpad for their ideas.
So the equation isn't AI versus dyslexic thinkers. It's AI times dyslexic thinkers. The machine does the literacy-heavy lifting; we do the lateral, visual, system-level work it can't. Their Intelligence 5.0 report says it without hedging:
Dyslexic Thinkers are not just equipped for the future of work — they are essential to it. — Kate Griggs, founder & CEO, Made By Dyslexia
If you're a dyslexic technologist reading this: stop apologising for the way you think. The thing you were told was your weakness in school is becoming the most valuable cognitive profile in the industry. Put "Dyslexic Thinking" on your profile. Lead with the architecture, the pattern, the vision — and let AI carry the rest. The era finally rewards your operating system.
And if you're building a technology team: understand that you are already competing for this talent, whether you've noticed or not. The organisations winning the AI era of IT aren't the ones with the most tools — tools commoditise. They're the ones with the minds that can see the whole system, spot the anomaly, and reframe the problem. A lot of those minds are dyslexic, and a lot of them are being filtered out by hiring processes still optimised for the skills AI just made cheap. Fix the filter, and you'll hire the people your competitors never even saw.
The old era asked us to think like everyone else.
The new one was built for the way we already think.