I am currently working as Quality Assurance Analyst in one the Tech Company, My company decided to Integrate AI in our infrastructure and we are in the state where engineers are working with AI for a week but still QAs are not given exposure to it yet so wondering to upskill what skills I should acquire? My guts say QA in our company will we dissolve and only engineering team will be left I do have knowledge of reading code and reviewing it as I have experience in automation too any thoughts?

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QA roles will be gone in 1 year. Developer roles will be gone in 2 years. AI development and AI training/management roles is all that will exist in tech. Learn that or change to non-AI dependant industries (which is about 5-10% of all industries today).

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With AI being integrated into our infrastructure, traditional QA roles may shift, but there’s a huge opportunity to pivot. Leveraging my automation and coding experience, I’m focusing on AI-aware QA—learning model evaluation metrics, bias testing, automating AI workflows, and validating data pipelines.

The goal is to bridge QA and engineering, ensuring AI systems are tested effectively while staying ahead of changes. Upskilling in AI testing, automation, and DevOps will make QA a critical part of AI projects, rather than sidelined.

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Data Ethics and Information security management System - ISO 27001 :2022 would be a great place to start.

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Anything AI related is a good choice. If you’re going to invest in learning something new I recommend being a leader in that field.

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