August 20, 2026

AI That Actually Opens Doors

Last week I read a piece in TechRadar about Furious, and it stopped me mid-scroll. Not because streaming platforms have suddenly become saints, and not because AI has magically solved inclusion. It stopped me because it showed something rare: technology being used for what it should be used for.

To remove friction. To widen access. To help talented people perform at the level they were always capable of reaching, if only the system would stop getting in the way.

According to TechRadar, Steve Way's behind-the-scenes prep on Furious used tech and AI tools to support his performance and make production more accessible for a disabled actor. That matters. Not as a shiny headline. As a signal. Source: TechRadar, 'Furious isn't just the best show on Hulu and Disney+ right now — its use of behind-the-scenes tech and AI is changing the game for disabled actors'.

And yes, I know, AI is now slapped onto everything like peri-peri sauce on chips. Some of it deserves the hype. A lot of it deserves a long walk off a short pitch deck.

But this is different.

This is where I get opinionated: the best use of AI is not replacing humans. It is removing barriers that should never have existed in the first place.

Accessibility is not charity. It is infrastructure.

Here is where most businesses get it wrong. They treat accessibility like a culture initiative, a nice HR panel, or a paragraph on the careers page with a stock photo of suspiciously happy colleagues holding coffee.

Accessibility is not a side project. It is infrastructure.

If someone brilliant cannot do their best work because your systems, processes, tools, or assumptions are clunky, then the problem is not the candidate. It is your operating model.

That is why the Furious story lands. It is not saying, 'Look how inspiring this is'. It is saying, 'Look what happens when the production adapts intelligently around talent'.

Funny that. Talent performs better when the environment is built to let talent perform better. Groundbreaking stuff.

What this means for hiring leaders

If you are a founder, CTO, COO, or Head of People, there is a lesson here bigger than television.

In recruitment, I still see companies obsess over finding the perfect candidate while ignoring whether their interview process, onboarding, team tooling, or communication norms exclude excellent people.

They want unicorns, but they have built a stable with a locked door.

There are disabled professionals across data, tech, cyber, infrastructure and leadership roles who are more than capable of delivering. The issue is often not capability. It is compatibility with poorly designed systems.

And that is fixable.

Not with vague promises. With practical design choices.

The real opportunity: AI as an equaliser

When AI is useful, it does a few things very well. It speeds up prep. It reduces repetitive strain. It improves communication. It offers alternatives to one-size-fits-all workflows.

That can be transformational for disabled professionals.

Think about where AI and adjacent technologies can help:

• Speech-to-text and text-to-speech tools for meetings and documentation

• Adaptive scheduling and workflow support that helps people manage energy, pace, or processing demands

• Real-time transcription, summarisation, and note capture for collaboration

• Custom interfaces and automations that reduce manual friction

• Preparation tools that let people absorb, practise, or respond in ways that suit them best

That is not lowering the bar. It is removing arbitrary hurdles.

Big difference.

And before anyone starts clutching their pearls about fairness, let me save you the trouble: standardisation is not the same as fairness. Giving everyone the exact same process often just means baking in the same disadvantages at scale.

Most companies are still hiring for comfort

Here is the uncomfortable bit.

A lot of hiring processes are not built to identify the best person. They are built to identify the person who is most comfortable for the company to assess.

That usually means:

• Fast verbal responses over thoughtful ones

• Interview performance over real-world output

• Rigid processes over adaptive ones

• 'Culture fit' over actual capability

Then leaders act shocked when they keep hiring from the same narrow slice of the market.

If a production team can rethink prep and support for a disabled actor, employers can absolutely rethink job design and selection processes for high-value hires.

No excuses. Certainly not from organisations calling themselves innovative.

A simple framework: Audit the friction

If you want to make this practical, start here. I call it Audit the Friction.

Role friction

Ask yourself:

• What parts of this role are truly essential?

• What parts are just legacy habits?

• Could output be measured differently?

Process friction

Look at your hiring journey:

• Are interview formats flexible?

• Do candidates know what to expect in advance?

• Can assessments be completed in more than one way?

• Have you made it safe to request adjustments?

Tooling friction

Review your tech stack:

• Do your collaboration tools support accessibility well?

• Are there AI or automation tools that can reduce barriers?

• Are managers actually trained to use them sensibly?

Manager friction

This is the big one.

• Can your managers lead people with different working needs?

• Do they understand accommodation as performance enablement, not inconvenience?

• Do they adapt, or do they just repeat policy language with a brave face?

If you can answer those honestly, you are already ahead of most of the market.

Inclusion has a performance upside

Let us also drop the fiction that inclusive design is somehow separate from business performance.

When you build systems that are clearer, more flexible, and better supported, you do not only help disabled talent. You help everyone.

Better documentation helps distributed teams.

Smarter meeting notes help busy executives.

Flexible assessment methods help candidates show actual competence.

Good accessibility habits often look suspiciously like good operational habits.

That is the punchline people keep missing.

The companies that do this well do not just become more inclusive. They become sharper.

Questions worth asking this quarter

If you are serious about this, take these into your next leadership meeting:

• Where are talented people being filtered out by our process rather than the role requirements?

• What low-cost tech or AI support could improve accessibility immediately?

• Do our managers know how to handle adjustment requests confidently and well?

• Are we designing for performance, or just for administrative convenience?

• Would a disabled high performer experience our business as enabling or exhausting?

If that last question makes the room go a bit quiet, good. Quiet usually means truth has walked in.

What leaders should do now

If you want the short version, here it is:

• Review your hiring process for unnecessary rigidity

• Invest in enabling technology that supports different ways of working

• Train managers properly, not performatively

• Normalise adjustments as part of high-performance team design

• Measure outcomes, not just process consistency

And if you are hiring into data, cloud, cyber, infrastructure or leadership roles, this is not some worthy extra. It is talent strategy.

The market is too competitive, and the cost of a bad hire is too painful, to keep excluding capable people because your process has the imagination of a damp spreadsheet.

Conclusion

The Furious story is worth paying attention to because it shows what happens when technology serves talent instead of trying to outshine it. That is the right hierarchy.

AI will not save hiring. It will not fix lazy leadership. It will not turn a bad culture into a good one.

But used well, it can remove obstacles, unlock performance, and open doors that should have been open all along.

That is not just good inclusion. That is good business.

And frankly, it is about time.

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