Ask Me Anything: Future-Proof Your Career: AI, Testing & Path Ahead
summary
AI already reshapes QA with realistic forecasts of 10–20% headcount cuts and a clear path for those who upskill: keep core testing (logic, API, SQL) and add Selenium and Playwright, API tools (Postman/RestAssured), mobile (Appium) and performance (JMeter) while learning GenAI basics, MCP servers and agentic AI, RAG/LLM evaluation. Interviews may move to token‑limited model tasks; certifications (including upcoming ISTQB GenAI) regain value as proof of human skill.
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chapters (16)
- 0:00Welcome
- 1:10Speaker intro & AMA format
- 2:53AI impact on QA careers
- 5:28Future-proof QA skills
- 9:49AI in QA interviews
- 12:01AI automation tools
- 14:53QA roadmap with AI
- 17:49Core skills vs AI tools
- 19:56Mindset for AI testers
- 21:59AI fundamentals learning path
- 26:37Certifications in AI age
- 29:03Automation readiness steps
- 32:13Advice for QA educators
- 34:42Rahul’s projects & plans
- 35:4616-year QA career path
- 38:16Stay relevant & proactive
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