Is being a ERP Consultant
at risk from AI?

AI will not fully replace ERP consultants, but it will significantly change what they do. Routine tasks like configuration, data migration scripting, and documentation are already being automated by AI-powered tools and low-code platforms. However, the core value of an ERP consultant—understanding messy business processes, navigating organizational politics, building trust with executives, and managing the human side of change—remains out of reach for current AI. The consultants at risk are those who rely primarily on technical configuration skills; those who combine technical knowledge with strategic advisory, change management, and deep industry expertise will remain in demand.

The impact is already underway. In 2026, AI code assistants and configuration tools are accelerating junior-level work, and clients increasingly expect faster, cheaper implementations. Over the next 3-5 years, expect AI to handle 60-70% of standard configuration, data migration, and tier-1 support, compressing project timelines and reducing the need for large consulting teams. The shift will be gradual but steady: firms will hire fewer junior consultants and demand more from mid-level and senior practitioners who can lead complex, multi-stakeholder projects. Consultants who don't adapt their skill mix by 2028 will face shrinking opportunities and downward fee pressure.

Yes, immediately. AI-assisted configuration, automated testing, and intelligent data mapping tools are becoming table stakes. Consultants who use these tools are 30-50% more productive, which translates to higher billable efficiency and faster project delivery. Learn how to use AI code assistants (like GitHub Copilot) for scripting, explore low-code/no-code ERP extensions, and understand how AI-powered analytics can surface insights from ERP data. Equally important: learn what AI cannot do well—complex stakeholder negotiation, risk assessment, and organizational change—and position yourself as the expert who combines AI leverage with irreplaceable human judgment.

Salaries will polarize. Junior consultants doing primarily configuration and data work will face downward pressure as AI compresses billable hours and clients demand lower rates. Entry-level roles may shrink by 20-30% in headcount over five years. Meanwhile, senior consultants with deep industry expertise, change management skills, and a track record of complex implementations will command premium rates—potentially 10-20% higher than today—because they solve problems AI cannot. The middle tier will be squeezed: generalist consultants without a clear specialization or strategic skill set will need to either move up into advisory roles or accept commoditized, lower-margin work.

Senior consultants have significantly more resilience today. They possess the business context, client relationships, and judgment that AI cannot replicate, and they can delegate automatable tasks to AI tools while focusing on high-value strategy and stakeholder management. Junior consultants face a tougher path: the traditional learning curve—spending years doing configuration and support work—is being compressed by automation, meaning fewer entry-level roles and faster expectations to add strategic value. If you're junior, accelerate your move into client-facing, advisory, or change management work as quickly as possible. Don't spend five years mastering tasks that will be 70% automated by 2028.

Yes, but less than you might think. ERP consulting has always had a global delivery model, with offshore teams handling configuration and onshore consultants managing client relationships. AI accelerates this by making remote, asynchronous work more viable—clients care less about where you are if AI tools enable faster delivery. However, consultants who are physically present during critical phases (go-live, executive workshops, crisis troubleshooting) retain an advantage, especially in industries like healthcare, government, and manufacturing where on-site presence and regulatory compliance matter. Geographic resilience comes from being the trusted advisor clients want in the room, not from being the cheapest resource on a spreadsheet.

Focus on areas where AI has the least traction: complex integrations across cloud platforms, change management and organizational transformation, vertical industry expertise (healthcare, financial services, manufacturing), and strategic advisory work like ERP selection and digital transformation roadmaps. Avoid over-investing in pure technical configuration skills for a single ERP platform—those are commoditizing fast. Instead, build a T-shaped skill set: deep expertise in one domain (e.g., supply chain in manufacturing) combined with broad knowledge of integration architecture, data strategy, and stakeholder management. The consultants who thrive will be those clients call for judgment, not just technical execution.