How do you see yourself leaning towards AI in upcoming days?

I am beginning to document how AI can reduce manual effors, shifting toward exploratory & risk-based testing, while AI handles the routine regression.

I see myself becoming more integrated, helpful, and capable every day, helping people simplify tasks and make smarter decisions — but always in a way that complements human strengths, not replaces them.

I see myself leaning into AI as a powerful assistant to enhance productivity, automate repetitive tasks, and support smarter decision-making—especially in areas like cybersecurity, data governance, and reporting—while staying mindful of ethical use and continuous learning.

I am thinking of  learning and utilizing about how AI can help with code analysis, anomaly detection, and even improving test coverage through intelligent prioritization

My current job is moving into AI QA, I will be learning it through Plural sight, I am also looking into ISTQB certification. 

• 1.Understand better
• Be more creative
• Work across different apps/devices
• Do more complex things

Use AI to:

• Generate functional test cases from requirements or user stories in Jira Xray.

• Convert manual test cases into automated ones (e.g., turn Gherkin or plain English into Playwright/Pytest code).

• Use tools like Testim, Katalon Studio (AI-powered), or Copilot to suggest assertions or test validations.

API Schema Validation & Mocking

AI can help us:

• Generate API mocks based on OpenAPI/Swagger or example payloads.

• Auto-generate schema from a payload response to save time on JSON schema definitions.

Exploratory & Visual Testing

• AI can predict risky areas based on change history (test impact analysis).

Security & Load Testing Assistance

• Use AI to suggest common vulnerabilities based on API request patterns.

• Generate load test scripts (e.g. JMeter) from real traffic or logs.

Data Generation and Test Insights

• Use AI to generate realistic test data (e.g., tenant info) matching NZ formats.

Natural Language to Code

• Speak or write "Test login flow with invalid credentials" → Get Playwright/Pytest/Selenium code instantly.

What I start doing now:

• Use ChatGPT/Copilot to assist in test case generation, code snippets, and doc writing.

• Try AI-assisted API schema generation for new endpoints in your projects.

• Use AI to create test cases or defect reports base on my prompt.

By staying up to date with these kinds of webinar and practise with AI tools

I am already using AI in my regular testing activities and wants to enhance it further. 

Career and practical perspective following ways we can follow:

Understand AI’s role in testing

Upskill with AI tools

Use AI daily for real tasks

Learn prompt engineering basics

Explore AI for Test Optimization

Grow your career towards AI QA roles