← Back to BlogPaul Morris
19 May 2026·By Paul Morris

Modern QA in 2026: What Actually Matters Now

Is QA dead? Not quite. But the low-value parts of testing are disappearing fast. Here's what modern QA actually looks like in 2026.

If you're in the right circles and connected to the right people, then just spend five minutes on LinkedIn and you’ll see it:

  • “QA is dead”
  • “AI will replace testers”
  • “You don’t need QA anymore"

It’s loud. Feels very targeted and usually designed to promote some type of AI platform. And mostly wrong (in my opinion, of course)

QA isn’t dying. The parts of QA that rarely added real value are.

What actually seems to be happening is a forced shift. And, honestly, it feels like a conversation and mindset that has been brewing for years. What I am seeing on LinkedIn and socials is largely the same conversation that has been happening internally and at conferences and meet-ups for years.


What’s actually disappearing

Everything has to change at some point. And rightly so. All roles ultimately morph, and shift. Technology advances inevitably change the landscape and disciplines need to adapt.

In 2026, some parts of traditional QA are fading faster than we've seen before:

  • Manual regression testing as a primary function
  • Writing and maintaining test cases nobody reads
  • Acting as the final gate before release
  • Finding obvious bugs late in the cycle

These aren’t being replaced because of hype around some advancement or some new tool. They’re being replaced by dilligent teams because:

  • Feedback loops are faster
  • CI/CD expects confidence earlier
  • Tooling is better and is constantly getting better
  • AI can handle a lot of the repetitive work

If your role as "QA" is built around those things, the shift is real and likely something that you will be facing and/or worried about. Additionally, if you are looking for a new role that focuses on those elements, the journey is going to feel a lot more difficult in the current climate.


This isn’t about AI replacing QA

AI is part of the shift — but I don't believe it's the whole story.

AI is good - or at least getting better - at:

  • Generating test cases
  • Suggesting edge cases
  • Speeding up repetitive automation
  • Highlighting gaps quickly
  • Connecting multiple test-focused systems together

But it’s not good at:

  • Understanding product intent
  • Identifying real-world risk
  • Challenging flawed assumptions
  • Thinking about how systems are actually used or how they fail in production

That gap matters as that’s where I believe the real value has always been.


What modern QA actually looks like

I believe that modern QA isn’t about testing more. It’s about needing to test less — because you’ve already reduced the risk.

That can manifest in a few key ways:

1. You’re involved before code exists

Not reviewing tickets after the fact.

Actually helping to shape and be involved in:

  • Requirement gathering and definition
  • Edge cases
  • Acceptance criteria
  • Risk areas

By the time development starts, the obvious problems are either already gone or have been surfaced and are visible.


2. You think in systems, not test cases

A mindset shift means less focus on:

  • “What scenarios should I write?”

And more focus on:

  • “Where can this break?”
  • “What don’t we understand yet?”
  • “What assumptions are we making?”

It means introducing and nurturing a totally different way of thinking.


3. You care about feedback speed, not coverage

Warning; this one may be controversial...

Coverage looks good in reports and when reporting upwards, but fast, reliable feedback actually matters.

Modern QA focuses on:

  • How quickly issues are detected
  • How confidently changes can be shipped
  • How easy failures are to diagnose

Not how many tests exist. When I have talked about processes in previous businesses or when onboarding a new team member (especially juniors), I often tend to talk about "test case fatigue" or "bug fatigue". By this, I mean "quality over quantity" matters. Every time.


4. You work with engineers, not after them

You’re not downstream anymore. You aren't simply the final gate before production holding the burden of being repsonsible for multiple failures in upstream quality.

You’re working alongside:

  • Developers
  • Product
  • Design

Influencing decisions early instead of reacting late.


5. You understand the system, not just the feature

The value isn’t in simply knowing what the feature does.

It’s in understanding:

  • How it fits into the system as a whole
  • Where dependencies exist
  • What happens when things fail

That’s where real quality lives.


What this means for QA roles

  • Stop treating test execution as your main value
  • Get closer to the code, pipelines, and architecture
  • Focus on risk, not just scenarios
  • Be involved earlier — not just at the end
  • Use AI to accelerate, not replace your thinking

The uncomfortable truth

If you see your value has:

  • Manually testing features before release
  • Writing test cases for the sake of process
  • Acting as the last line of defence

Then yes — I believe your role is at risk in 2026.

Not because QA is dead or because QA is no longer considered a valuable function. But because that version of QA doesn’t scale anymore.


Final thought

The demand for quality hasn’t gone anywhere. If anything, it’s higher than ever but it's being thought of and approached with a different mindset. Dare I say we are moving to a Quality Engineering mindset? You can read more about my thoughts on that in an upcoming post.