Is BA a deadend ?

In today’s times, whole world is moving towards artificial intelligence. AI and ML is becoming necessity for all the work functions within each industry be it IT, consulting, construction and manufacturing etc. Not moving hand in hand with today’s technology means somewhere we are not serious about our professional goals and aspirations. AI and ML have been integrated into now with every process which has made life easier to some extent but also created an urgent need to upgrade ourselves on daily basis. Professionals like Business analysts who acts a middleman within the client and technical team and sole responsible for making sure each business requirement is met is also by far has been impacted by the rapid shift in technology. Traditional method of working as a BA has become obsolete and now BA has to master the art of using AI tools and AI agents. These are basically autonomous systems that can execute complex workflows. It means most of SDLC is being managed by these tools and agents. There are so many AI agents present in market such as Chat PRD, google Gemini, Microsoft co pilot studio which can now generate requirements documents with a single click. There is now provision to optimize backlog and automate UAT which generates automated test cases in seconds. Through such advancement time on the documentation part, which was way more from BA’s end, has now reduced to a significant level. It helps BA as it decreases the chance of missing requirements and BA can now more on making sure that every requirement is now getting delivered without scope creep. So now the major question which you all will be having “That AI will replace BA”? From our above conversation it seems likely to be the case where BA’s will not be required any more but that’s not true at all. Artificial intelligence, yes, can ease the life of a business analyst to some extent but can’t replace him completely. It’s because humans in the loop are very important parts of such AI agents and tools. AI is excellent in handling patterns and taking prompts but poor at understanding nuance, culture and ethics. AI is heavily prompt dependent and may sometime also understand given prompt incorrectly. At such point human intervention is very important who can understand such technicalities and may decide to approve or reject the solution provided by the AI and ML. Human will provide the why factor to the solution provided and correct it if necessary. As per the study, In 2020 BA was dependent upon advanced excel and SQL, Standard Agile and scrum, competitor research and manual FRD/SRS document which has now been replaced by AI prompting/ Vector DB queries, AI- Augmented Agile, Predictive modelling interpretation and AI co-authored documentation. Rather than now fearing rise of AI, as a BA we must work on developing competencies with which we can go hand in hand with AI. As not handled properly it can be a headache too for a BA as the challenges of AI is cost, hallucinations and trust. Now we need to provide proper ROI as implementing AI is costly, LLM’s are still developing and provide more facts so analyst who is blindly trusting documentation or reports is a liability. Impacts of AI and ML on the business analysis are both positive and negative but as we want to thrive in industry its very much important that as a business analyst we are adaptable with the technology.