7 Skills Business Analysts Must Master in the AI Era

The Problem

As a business analyst, you're likely no stranger to the feeling of unease that comes with seeing AI tools like ChatGPT draft a Business Requirements Document (BRD) in mere seconds. It's natural to wonder: what's left for me to do? The truth is, AI is commoditizing the drafting process, but it's also amplifying the need for judgment, critical thinking, and high-value skills that only a human business analyst can provide.

At a recent meeting with stakeholders, a senior business analyst at a large financial institution shared her concerns: 'I've spent years honing my craft, and now it feels like AI is replacing me. But as I delved deeper, I realized that AI is actually freeing me up to focus on the skills that truly matter.'

What the Research Says

Recent discussions on LinkedIn and Reddit suggest that business analysts are anxious about their role in the AI era. However, industry surveys consistently show that while AI is changing the nature of work, it's also creating new opportunities for professionals who can adapt and upskill.

For instance, a study by the International Institute of Business Analysis (IIBA) found that business analysts who can effectively work with AI tools are in high demand. The study also highlighted the need for business analysts to develop skills that complement AI capabilities, such as stakeholder negotiation, requirements validation, and solution evaluation.

Furthermore, practitioner discussions on r/agile increasingly note the importance of business analysts in ensuring that AI solutions are aligned with business objectives and meet the needs of stakeholders.

How LeadAI Academy Solves This

At LeadAI Academy, we recognize that business analysts need to develop a new set of skills to thrive in the AI era. Our platform provides role-specific training for business analysts, including:

• Contradiction-finding: identifying and resolving inconsistencies in requirements and stakeholders' expectations
• Stakeholder negotiation: effectively communicating with stakeholders to ensure their needs are met
• AI-feature scoping: determining which features can be automated and which require human judgment
• Requirements validation: ensuring that requirements are complete, consistent, and aligned with business objectives
• Solution evaluation: assessing the effectiveness of AI solutions and identifying areas for improvement
• Change management: helping stakeholders adapt to AI-driven changes
• Governance: ensuring that AI solutions are compliant with regulatory requirements and organizational policies

Our DocLab feature allows business analysts to practice these skills in a simulated environment, working on real-world scenarios and receiving feedback from our AI coaches, including Maya/NEXUS.

TL;DR & Next Steps

• Business analysts must develop high-value skills that complement AI capabilities
• AI is commoditizing drafting, but amplifying the need for judgment and critical thinking
• LeadAI Academy provides role-specific training for business analysts to develop these skills Run the 60-second Enterprise AI Readiness Assessment at /diagnostic to identify areas for improvement Start a DocLab session at /doclab to practice your skills and receive feedback from our AI coaches