Is being a Enterprise Software Consultant
at risk from AI?

Not entirely, but the role will split. Junior consultants doing mostly configuration, data migration, and documentation face significant displacement—AI already handles 60-70% of that work. Senior consultants who manage client relationships, navigate organizational change, and make strategic architecture decisions remain valuable. The middle tier—experienced technical implementers without strong advisory skills—is most at risk. By 2028-2030, expect consulting firms to deploy far fewer bodies per project, with AI agents doing the bulk of hands-on work.

Shift from technical execution to strategic advisory. Deepen skills in change management, stakeholder facilitation, business process redesign, and executive communication. Learn to use AI tools to accelerate your technical delivery—prompt engineering for code generation, AI-assisted documentation, automated testing—so you can focus on higher-value work. Develop deep expertise in a vertical (healthcare, finance, manufacturing) rather than staying a generalist. Finally, build a personal brand: as firms commoditize delivery, trusted advisors with strong networks will command premium rates.

It's already happening. Major consulting firms are deploying AI copilots for configuration, data migration, and documentation today. Over the next 18-24 months, expect AI agents to handle end-to-end implementation tasks with minimal human oversight for standard use cases. By 2027-2028, a project that once required a team of six consultants may need two—one senior advisor and one technical lead supervising AI agents. The shift will be faster in commoditized platforms (Salesforce, Workday) and slower in highly regulated or custom environments.

It depends on your position. Junior and mid-level consultants focused on technical execution will see downward pressure as AI reduces billable hours and firms need fewer people per engagement. Senior consultants who own client relationships and strategic decisions may see stable or even rising compensation, as firms compete for talent that can manage AI-augmented delivery. Expect greater income polarization: top-tier advisors will do well, while the broad middle tier faces commoditization. Independent consultants with strong reputations may fare better than firm employees, as they can capture more value directly.

Senior is safer in the short term, but the path to senior is narrowing. Experienced consultants with client relationships, business acumen, and change management skills are still in demand. However, firms are hiring fewer junior consultants because AI now handles much of the work that used to train new hires. If you're early-career, focus aggressively on client-facing skills, business strategy, and relationship-building rather than just technical proficiency. The traditional apprenticeship model—spending years doing configuration work—no longer leads reliably to senior roles.

Yes, but not in the way it used to. AI erodes the advantage of low-cost offshore delivery centers, as automation is cheaper than even the least expensive labor markets. This may bring some work back onshore, but it won't restore headcount—firms will just deploy fewer people overall. Consultants in major business hubs (New York, London, Singapore) with access to executive clients retain an advantage, as high-stakes advisory work still happens face-to-face. Remote consultants without strong client relationships are most vulnerable, as they're easiest to replace with AI-augmented delivery models.

Specialize, but choose carefully. Deep expertise in a complex, high-stakes platform (SAP S/4HANA, Oracle Fusion, Epic) offers more resilience than being a generalist, as these environments have nuances AI struggles with. However, avoid platforms where configuration is becoming fully automated (basic Salesforce, standard Workday). Better yet, specialize in a vertical industry rather than a platform—understanding healthcare workflows, financial regulations, or supply chain operations is harder to automate than knowing how to configure software. The most resilient path is vertical expertise plus strong advisory skills, with platform knowledge as a supporting tool.