Explainer: AI and consulting debate history and impact

The debate begins

The question of whether artificial intelligence will displace consultants and analysts, or empower them, has become one of the most discussed issues in professional services. Rapid advances in machine learning capabilities have raised concerns about traditional consulting roles, even as industry insiders argue that these technologies will reshape, rather than end, the profession.

At the heart of the debate is a tension between automation and human expertise. Generative and agentic forms of AI can perform many tasks traditionally done by junior consultants. These include research, data aggregation, and initial analysis  like routines that once required significant time and manpower. Emerging tools now aim to complete some of this work faster and at lower cost.

Critics of the "AI will kill consulting" narrative point out that automation of routine tasks does not remove the need for strategic judgment, nuanced interpretation and organisational context. Clients often engage consultants not simply for answers, but for trusted guidance on complex decisions. These are areas where human insight remains central.

"Not dead yet" perspective

Some industry analysts and practitioners maintain that AI will not make consulting obsolete. Instead, they argue it will accelerate demand for high-value services and change the structure of the workforce. According to a senior director analyst at a major research firm, artificial intelligence could drive growth in consulting by opening new streams of work, much as cloud adoption created opportunities years earlier. This perspective holds that while some roles might be displaced, new ones will emerge.

An executive at a professional services firm described how AI is being used to automate repetitive tasks such as scanning documents and preparing initial hypotheses. The result, he said, is that consultants can spend more time on validation, refinement and delivering real value.

Such views suggest that AI adoption could free consultants to focus on higher-order work. That includes interpreting insights, guiding change management and advising clients on strategic implementation of technology. In this view, the industry's value shifts from data gathering to delivering outcomes that matter to clients.

Arguments for transformation, not extinction

Supporters of the transformation argument cite several trends. First, AI technologies can reduce time spent on preparatory and analytical tasks such as functions traditionally performed by junior staff. This could lead to smaller teams on engagements, with more emphasis on senior roles and specialised skill sets. These may include data scientists, AI engineers and professionals adept at aligning technical tools with business strategy.

Second, the market for AI-related consulting services is growing. Some firms are already offering advisory help on selecting, integrating and governing AI systems. This expansion into technology adoption services suggests new revenue streams that did not exist a decade ago.

Third, there is a belief that the real value of consultants lies in human attributes that machines cannot replicate. Critical thinking, emotional intelligence and the ability to navigate organisational politics are cited as inherently human skills. AI proponents who acknowledge these limitations argue that the consultant of the future must master both technology and human judgement.

Sceptical voices

Not all look on AI's impact with optimism for the profession. Some commentators and industry leaders warn that certain consulting tasks could become redundant. The suggestion is that if clients can access high-quality automated insights directly, the traditional model of hiring external advisors for standard research or benchmarking work may decline.

Public narratives have even linked technological disruption to pullbacks in valuation for advisory firms. In one account from a market commentator, concerns that AI could diminish demand for research and analysis contributed to downward pressure on a well-known research firm's market value. Yet the same commentary noted that advisory services themselves could remain in demand, even as traditional information models shift.

Shifting skills and roles

There is broad agreement, even among sceptics, that the nature of consulting work will change. Many junior tasks, such as assembling PowerPoint decks or initial data gathering, could be automated. This would change the profile of entry-level roles, with fewer positions for generalist analysts whose work is easily replicated by machines.

Instead, demand may rise for professionals who can apply judgement to AI-derived insights and tailor strategic advice to specific organisational contexts. This includes understanding the limits of machine output, verifying data quality and ensuring that recommendations align with client objectives.

Some industry voices argue that consultants should focus more on cultivating specialised expertise and less on routinised processes. This could help distinguish human advisors from automated tools, and maintain the value proposition of consulting in a competitive environment.

Where the argument stands

The debate about AI and consulting is far from settled. A consensus seems to be emerging around two ideas: AI will change the profession fundamentally, and the impact will vary across roles and firms.

For repetitive, information-centric tasks, automation appears likely to reduce demand for human labour. However, for work that requires synthesis, strategic thought and human judgement, the role of consultants may persist and even grow in importance.

Ultimately, the industry may not witness the end of consulting, but a substantial transformation of its workforce, skills and service models. Companies that succeed will be those that integrate AI tools thoughtfully and reposition their human capital to focus on higher-level advisory functions.

Consultants who adapt by developing interdisciplinary skill sets and leveraging AI as an amplifier of human judgement are more likely to thrive. Those who cling to old models of billable hours tied to repetitive work face greater risk of displacement.

The long-term trajectory remains unclear, but the consensus among many practitioners is that AI will not eliminate consulting. It will change how the business is done, what services are valued, and who delivers them.