When the World's Most Expensive Consultant Costs Zero Per Session
For decades, access to top-tier strategic consulting has been a privilege with a high entry price: teams of junior analysts billing hours at partner rates, PowerPoint decks delivered weeks after the issue has already evolved, and a business model deliberately built on information asymmetry. Clients were essentially paying for the privilege of not knowing what the consultant knew.
This asymmetry is collapsing. And venture capital in Silicon Valley is sensing it with pinpoint precision.
According to Business Insider, a group of startups is redefining what some investors are now calling "consulting tech": AI platforms designed not to support traditional consultants, but to replace the costliest layers of their value chain. Names orbiting this category—Aily, PromptQL, Profound, Dialogue, among others—are not just productivity tools. They represent a structural bet on where the value in the strategic advisory business resides.
The Model That Is Being Demonetized
To understand the magnitude of this movement, we first need to look at what traditional consulting firms actually sell. The honest answer is that they sell three things: access to proven analytical frameworks, the ability to synthesize complex information, and the institutional legitimacy of a recognized firm to support internally made decisions. The first and second of those components are precisely what AI is compressing in cost.
What these startups are executing is layered demonetization. PromptQL, for example, aims to democratize access to complex data analysis without requiring internal data science teams. Profound focuses on automating market intelligence. Dialogue operates in the realm of conversational strategic synthesis. Each targets a specific link in the value chain of the Big Four firms and strategy boutiques.
The pattern is consistent with what has occurred in other knowledge-intensive industries: when the marginal cost of replicating analytical capability approaches zero, the price that the market is willing to pay for that capability collapses. Not abruptly, but first in lower-margin segments, then ascending towards higher sophistication. Publishers faced this with journalism. Travel agencies did with flight information. Retail brokers with order execution.
Consulting had a defensive advantage that those industries did not: the difficulty of codifying high-level human judgment. That advantage remains real in the upper strata, but it is eroding faster than most McKinsey partners would publicly admit.
Why Capital is Betting Now and Not Earlier
The timing of this wave of investment is not random. There’s a concrete technical reason: large-scale language models have achieved, in the last 18 months, a threshold of structured reasoning that makes them useful for business analysis with a low margin of error on defined tasks. They are not good at everything—the judgment under radical ambiguity remains human—but they excel in exactly the tasks that consume 60% of a junior analyst’s time: document synthesis, competitive benchmarking, scenario modeling with defined variables, and generating initial hypotheses.
This has a direct financial implication for any firm currently employing costly hierarchical talent to perform that work: their cost structure was designed for a world where that talent was scarce and had no functional substitute. That world has ended.
The cost architecture of large consulting firms is almost entirely fixed in the short term: salaries for analysts, office spaces, internal systems. Consulting tech startups come with a purely variable structure: cost per inference, cloud-based infrastructure that scales with demand. The difference is not philosophical; it is a structural advantage that translates into prices that traditional firms cannot match without cannibalizing their own revenue models.
What These Platforms Cannot Do Yet
Honest analysis requires setting boundaries. There is an area of consulting that these tools do not touch today, and likely will not touch within the next five years: management of organizational politics. The most impactful decisions in a large company do not fail for lack of analysis; they fail because internal incentives, power dynamics between divisions, and institutional resistance to change neutralize any technically correct recommendation.
That work—convincing a board that their strategy has a structural flaw, managing tensions between the CEO and CFO during a restructuring, reading the room when the executive committee says yes but the body language suggests otherwise—cannot be delegated to a language model. And the consulting firms that survive the next decade will do so because they understood that this is their real business, not analysis.
What is clear is that support analytical work will cease to be the primary product and will instead become an input with a cost approaching zero. Firms still charging for that input as if it were the product are selling something that the market is learning to produce on its own.
For executives today evaluating their consulting budgets, the message is direct: the value justifying a seven-figure contract must now concentrate on the capacity for political intervention, consensus-building, and support in implementation. If the provider cannot clearly articulate which of those three things they are selling, they are likely selling analysis that one of these startups can deliver at a fraction of the cost.
Democratization Does Not Apply Equally to All
There is a tension that investor enthusiasm tends to smooth over: the democratization of access to analytical capability does not distribute its benefits evenly. A 20-person startup in Mexico City or Bogotá that gains access to these tools gains analytical capacity that previously required hiring a medium-sized consulting firm. That is genuinely expansive.
But the companies that need strategic advice the most—the small firms operating in emerging markets with complex regulatory contexts, the ones without technical teams to implement these platforms—continue to face an adoption gap that the market alone does not solve. The tool may cost little; the ability to use it well still requires human capital that is not distributed uniformly.
This is the limit where enthusiasm for technological democratization must meet rigor regarding real access conditions. Technology lowers the cost of the tool; it does not automatically lower the cost of the competition to use it.
The strategic consulting market is at an advanced stage of demonetizing its analytical layer, with the democratization of that capability just beginning its adoption curve. Firms that do not redirect their value proposition toward components that AI cannot replicate—political judgment, organizational power management, implementation support—are operating with a business model that has a visible expiration date. The technology that enhances human judgment creates lasting value; the one that simply raises access to analysis has already found its substitute.
