Consulting after AI: fewer slides, more responsibility

As routine output work gets automated, clients will demand execution support and defensible recommendations.

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Over the past year, the “slide-deck economy” of consulting has started to wobble. For decades, consulting value was often packaged as research, analysis, frameworks, and polished presentations. The deck became both the product and the proof of work. But AI is making that layer cheap and fast. A well-prompted model can summarise a market, draft a strategy narrative, structure a transformation plan, and produce a credible first-pass storyboard in a single afternoon. That doesn’t mean consulting is dying. It means consulting is being forced back to its real job: helping organisations make better decisions and implement them in the messy reality of people, politics, legacy systems, and limited time.

AND BACKGROUND

A recent South African perspective in TechCentral describes how AI is rewriting consulting engagements, shortening project life cycles and shifting demand away from analysis-heavy work towards tangible outcomes and delivery.

This trend is not unique to South Africa. Harvard Business Review warned as early as September 2025 that AI is automating many tasks traditionally performed by junior consultants, including research and analysis, and that firms will need to rethink team structures and how value is created.

At the same time, AI vendors are actively using consulting firms as their route into enterprise adoption. Business Insider reported in March 2026 that OpenAI and Anthropic are partnering with major consultancies to win the enterprise market, which tells you two things at once: AI is disrupting consulting, and consulting is becoming one of AI’s distribution channels.

INSIGHT AND ANALYSIS

If AI can produce a decent deck, what changes? First, the deck loses its pricing power. It becomes a commodity, like a spreadsheet template. Clients will not pay premium rates for work they suspect could be generated quickly, especially when budgets are tight. In South Africa, where procurement teams are under pressure and executives want visible ROI, this shift will be felt sharply.

Second, the bottleneck moves. The hard part is no longer producing options. The hard part is choosing the right option, defending it, and executing it. AI can propose ten strategies. It cannot secure buy-in from a reluctant executive committee, redesign incentives, navigate internal politics, or rebuild trust after a failed transformation. It can help, but it cannot own the accountability.

Third, verification becomes the premium skill: AI can be impressive and wrong at the same time. A consulting firm that “accelerates output” without improving truth and defensibility will create faster mistakes. This is why the consulting value proposition is shifting towards judgment, validation, governance, and clear decision rights.

And finally, the economics change inside consulting firms. If the junior analyst layer shrinks, the apprenticeship model breaks. You cannot build future partners if there is no structured path from junior work to senior judgment.

Firms will need deliberate training models where young consultants learn by doing higher-value work sooner, under tighter supervision, with better tooling and clearer quality controls.

IMPLICATIONS

For consulting leaders, the priority is to stop selling activity and start selling outcomes. That requires new commercial models, clearer definitions of impact, and stronger delivery capability. It also means investing in “how we implement”, not only “how we analyse”. Clients are tired of decks that describe the world. They want consultants who can help change it.

For corporate clients, the opportunity is to demand a new deal. If a consultant uses AI, what quality checks exist? What is the governance approach? What human validation is applied? McKinsey’s 2025 State of AI survey notes that organisations getting real value are more likely to have defined processes for when model outputs require human validation.

For South Africa specifically, this could be a positive shift. If AI reduces the cost of basic analysis, smaller firms and independent experts can compete more effectively, and clients can access expertise beyond the big brands. But that also increases noise. The winners will be those who can prove credibility through results, references, and responsible practice.

Deloitte’s October 2025 research on AI ROI is a useful reminder here: many organisations are investing more, but returns can be elusive without focused use cases, leadership commitment, and embedded adoption.

CLOSING TAKEAWAY

The slide deck isn’t disappearing, but it is losing its status as the consulting product. AI is pushing the industry towards what clients should have wanted all along: better decisions, implemented well, with accountability. Consulting after AI will be less about presenting certainty and more about reducing risk, clarifying trade-offs, and driving change that holds under pressure. The firms and independent consultants who thrive will be those who treat AI as a multiplier, not a mask, and who can prove that what they deliver is not just polished, but true, adoptable, and worth the cost.

Author Bio: Johan Steyn is a prominent AI thought leader, speaker, and author with a deep understanding of artificial intelligence’s impact on business and society. He is passionate about ethical AI development and its role in shaping a better future. Find out more about Johan’s work at https://www.aiforbusiness.net/about