Hidden Roles Series Part 6: How AI is Shaping the Future of BA, QA, and SM Roles
Chris Conway
Founder and Lead Coach, The IT Bootcamp
I’m Chris Conway, Founder, Lead Coach, and CEO at the IT Bootcamp. I also work on-site with clients as an Agile Coach & Consultant, because in IT, where things change fast, those who can do, can teach.
In this 6-part series, I’m exposing a problem that has kept critical IT roles in the shadows for too long: the lack of formal training and structured career paths for Business Analysts (BA), Quality Assurance (QA) Analysts, and Scrum Masters (SM).
Despite being the backbone of IT projects, these roles are often overlooked, buried under broader job categories or mistaken for secondary functions. They are essential to IT success, yet they remain hidden, undervalued, and missing from industry conversations.
In this final part, we explore the impact of AI on BA, QA, and SM roles. With AI becoming an integral part of the IT landscape, we examine how these roles are evolving, how professionals must adapt, and the opportunities AI brings for collaboration and efficiency.
You can catch up on Part 5 here.
AI Enhancing Business Analysis
AI can automate and speed up many analytical tasks, letting BAs focus on interpretation and strategy. Machine learning can sift through large data sets to uncover patterns a BA then translates into business insight, and AI assistants can draft requirement documents or user stories that a BA refines.
The core BA skill set is shifting to include working with AI outputs, understanding data, validating AI-driven insights, and keeping the human touch AI lacks. AI cannot replace the empathy, domain understanding, and ethical judgment of a human analyst. An AI-enhanced BA handles routine analysis faster and spends more time on stakeholder communication, problem-solving, and solution design.
AI-Augmented QA and Testing
QA is arguably being transformed the most. AI-driven testing tools can generate test cases, automate regression testing, and predict where bugs are likely to occur based on past defects. One industry report found 79% of companies have already adopted AI-augmented testing tools, and 74% plan to increase investment in AI for QA (Leapwork).
These tools handle repetitive checks so QA analysts can focus on complex scenarios and exploratory testing that require human creativity. QA professionals now need to know what to automate versus test manually, how to interpret AI findings, and how to test AI features themselves. AI isn’t eliminating QA jobs. It’s transforming them.
AI Tools for Scrum Masters and Agile Teams
Agile tools increasingly use AI to forecast team capacity from historical sprint data, find meeting times, transcribe standups and retrospectives, and flag bottlenecks or risks before they escalate. That reduces the administrative load on Scrum Masters.
The role evolves toward judgment, coaching, and handling exceptions while AI handles routine monitoring and reporting. Good Scrum Masters also make sure AI doesn’t undermine team autonomy or trust, avoiding a “big brother” effect from too much monitoring.
What This Means for You
BA, QA, and SM professionals need to be literate in the AI tools relevant to their work. Those who adapt deliver far greater value: a BA who analyzes customer data with AI spots opportunities others miss, and a QA lead using AI cuts testing time dramatically.
AI is amplifying the need for the human-centric skills, critical thinking, domain knowledge, empathy, and ethics, that BAs, QAs, and SMs provide.
Closing the Series: Skills, Not Silos
Across this series we’ve seen that BA, QA, and SM roles lack formal pathways, go uncounted in workforce data, are filled by people who fall into them, cost organizations dearly when neglected, and are in higher demand than ever. The answer isn’t three disconnected career tracks. It’s treating business analysis, quality assurance, and agile facilitation as a set of complementary skills.
A QA who understands business analysis prioritizes tests by business impact. A BA who understands quality writes clearer, testable requirements. A Scrum Master with BA skills can step in to run a requirements workshop. Teams built this way collaborate better, catch problems earlier, and deliver more smoothly.
That’s why we train every student in all three. If you missed the beginning, start the series with Part 1.
We believe that our end-to-end IT Bootcamp for BA, QA, and SM (providing training, hands-on experience, and guidance not just for a year, but throughout your entire career) is the difference. We train, allow you to get that experience, and surround you with a community of BA/QA/SM. The gap in the industry is wide, but we’re filling it.