The traditional consulting model—built on high-billable hours, manual data synthesis, and the prestige of the “slide deck”—is facing a structural challenge from a new breed of Silicon Valley startups. A wave of AI-native firms is now automating the core functions of strategy and operational analysis, moving the industry away from one-off engagements toward “always-on” intelligence platforms. With over $300 million in collective funding flowing into a handful of key players, the shift represents more than just a productivity gain; it is a direct assault on the billable-hour economics that have sustained the Big Four and MBB (McKinsey, Bain, BCG) for decades.
Automating the Analyst: The Rise of “AI Brains”
At the center of this disruption is the effort to eliminate “siloed data,” the primary friction point that usually justifies a multi-month consulting engagement. Aily Labs, founded by former Novartis executive Bianca Anghelina, is targeting this specific inefficiency. By embedding an “AI brain” into Fortune 500 operations, Aily aims to consolidate fragmented data and surface recommendations in minutes rather than weeks. For the C-suite, this means moving from a snapshot of performance provided by a quarterly consultant report to a real-time executive partner that identifies risks across global supply chains or sales regions instantly.
PromptQL is attacking the labor side of the equation. With $136 million in funding, the platform allows companies to build custom AI analysts that integrate internal data with foundation models. By automating the surfacing of insights and report generation—tasks typically handled by junior associates or data scientists—PromptQL is effectively productizing the “analyst” role. Interestingly, the company maintains a hybrid model, offering expert engineers at $900 an hour to help shape broader transformation strategies, signaling that while the data crunching is automated, high-level strategic architecture still commands a premium.
New Frontiers: GEO and AI Measurement
As AI changes how consumers find information, the consulting world is seeing the birth of entirely new disciplines. Profound is leading the charge in Generative Engine Optimization (GEO). As brands shift their anxiety from Google search rankings to how they are mentioned in LLMs like ChatGPT, Profound is automating the brand-sentiment research and focus-group work that previously required expensive marketing consultancies.
Simultaneously, a critical gap has emerged in the “proof of value” phase of AI adoption. Larridin, backed by Andreessen Horowitz, has developed a tool called Scout to provide the independent measurement CIOs desperately need. By analyzing how AI is actually used within an organization and whether it is driving genuine productivity, Larridin is positioning itself not as a replacement for consultants, but as the objective data layer that consultants will use to justify further investment or cost-cutting.
Even the most granular part of the consulting pipeline—market research—is being compressed. Dialogue AI is attempting to democratize the research process, reducing the turnaround time for studies from weeks to a single day. By automating participant recruitment and interviewing, the platform allows designers and engineers to conduct research independently, bypassing the traditional agency middleman.
How do these startups threaten the Big Four and MBB?
The threat is primarily economic. Traditional firms rely on a pyramid structure where armies of junior analysts perform the “grunt work” of data gathering and slide creation. When a platform like PromptQL or Aily Labs automates that synthesis, the billable hours for those junior roles evaporate. If the “discovery” phase of a project is reduced from six weeks to six minutes, the traditional pricing model collapses.
What is “Generative Engine Optimization” (GEO)?
GEO is the evolution of SEO. While SEO focused on ranking in search engine results pages, GEO focuses on influencing the latent space of Large Language Models so that an AI chatbot recommends a specific brand or product when prompted by a user. It is a shift from optimizing for keywords to optimizing for “mentionability” and trust within AI training sets and retrieval-augmented generation (RAG) systems.
Will AI completely replace human consultants?
It is unlikely to replace the high-level strategic “judgment” or the relational trust required for boardroom decisions. However, it is poised to eliminate the “middle” of the consulting value chain. The future likely holds a bifurcated market: high-end strategic advisors who use these AI tools to work faster, and a suite of SaaS platforms that handle the operational analysis that used to be the bread and butter of boutique firms.
As the cost of data synthesis trends toward zero, will the value of a consulting engagement shift entirely toward accountability and implementation, or will the “prestige” of the MBB brand be enough to withstand the automation of their core product?
