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Testing used to be the last thing a team did before shipping. For many teams, it still is. The World Quality Report 2025 found that 89% of organizations are experimenting with AI in quality engineering, yet only 15% have scaled it across their organizations. Testing practices are evolving faster than most teams can adapt.
AI is only part of the story. PLUS QA's guide to quality assurance trends in 2026 pulls together the shifts changing how testing teams work. Why complex architectures have made testing harder, why compliance has become a design-phase concern, and where new platform categories are opening territory QA teams haven't had to cover before.
Here's what the data shows.
AI Is Changing the Work of Testing
Artificial intelligence is changing how QA engineers spend their time. It's taking on the repetitive tasks that once consumed their days — generating test cases, self-healing scripts when interfaces change, and identifying failure patterns from past builds. Tester attention moves toward edge cases and system behavior, the work that requires human judgment. According to Stanford's AI Index 2025, model performance continues to improve while costs decline, putting these tools within reach for teams of every size.
Microservices Have Multiplied the Places Where Things Break
Modern software has become much more complex. A product is rarely a single application anymore. Microservices, third-party APIs, and cloud infrastructure let teams ship faster and scale more easily, creating more points of failure along the way. A service that functions correctly in isolation can break when a dependency behaves differently than expected. Testing increasingly focuses on how systems work together rather than how individual components perform.
Security Testing Has Become a Risk Management Function
Cybercrime is projected to cost the global economy $10.5 trillion annually. That number has pushed security firmly into QA's territory. DevSecOps embeds automated security checks directly into the development pipeline, running alongside regular testing rather than after it. Vulnerability scanning and continuous monitoring are now standard QA practices. The goal mirrors shift-left testing: find the problem before it reaches production, where the consequences are harder to control.
Accessibility Compliance Is Now a Testing Priority
Compliance pressure is coming from another direction, too. The European Accessibility Act requires most digital products sold in the EU to meet Web Content Accessibility Guidelines (WCAG) 2.1 AA standards, and in the United States, enforcement under ADA Title II and Section 504 is increasing. These aren't future requirements. Teams that treat accessibility as a final review item are already behind. Accessibility testing belongs in earlier phases of development, where design and architecture decisions determine whether a product works for users with disabilities.
XR Is Opening New Testing Territory
Every new platform category adds new ground for QA to cover. Spatial computing is making that shift right now — XR hardware is moving from headsets tethered to workstations toward lightweight glasses designed for all-day wear. As these devices get closer to everyday use, QA teams are navigating testing requirements that didn't exist in previous cycles. The guide covers what that looks like in practice.
What These Trends Mean for Your Testing Strategy
Every one of these shifts points in the same direction. Testing is moving earlier in the cycle, deeper into architecture decisions, and into parts of the development cycle QA teams haven't traditionally owned. Teams that test only as a pre-release checkpoint are making production decisions that should have been made during design.
PLUS QA's Quality Assurance Trends in 2026 guide covers each of these trends in full, along with DevOps integration, low-code automation, and data-driven testing — and what they mean for how teams build their QA strategies heading into 2027.
Download the guide.