‘CONSULTING’ Gravy Train TORCHED — GONE, Just LIKE THAT

When companies can get “$5 million of consulting” from a $10,000 AI stack, the old consulting model starts to look like another rigged game that finally ran out of excuses.

Story Snapshot

Big-name consulting firms are cutting staff and facing weak demand after years of selling pricey slide decks and vague “transformation” projects.
Artificial intelligence can now do much of the research and analysis that armies of junior consultants used to bill out at sky‑high rates.
Clients burned by past buzzwords and broken promises are demanding clear results, fixed prices, and tools they can control themselves.
Experts say consulting is not dying, but being forced into leaner, more transparent, outcome-based models that threaten the old fee machine.

Consulting’s Crisis: Layoffs, Lost Trust, And Cheaper Intelligence

Strategic consulting firms that once seemed untouchable are now in one of the most difficult periods in their history, with public reports of widespread staff cuts after a hiring spree that overshot real demand.^[4] Some critics argue this is the long-delayed bill for years of expensive advice that often left workers, taxpayers, and shareholders wondering what value they really got.^[4]^[3] A widely shared video on the “overdue collapse” of corporate consulting points to layoffs at names like McKinsey, PricewaterhouseCoopers, and Deloitte, along with surveys showing most businesses doubt consultants are doing more good than harm.^[4] That frustration echoes a broader mood in the country: many people on both the right and the left see yet another elite industry that got rich selling complex language and big promises while everyday Americans struggled to keep up.^[3]^[4]

Artificial intelligence has poured fuel on this anger by exposing how much of the traditional consulting product was glorified information work that machines can now do faster and cheaper.^[4] New research in the Harvard Business Review says AI systems can already automate many classic junior-consultant tasks, including research, data modeling, and slide-heavy analysis. Analysts estimate that over a quarter of these tasks are directly automatable with today’s tools, and that number is likely to grow.^[4] When a company can ask an AI system to crunch its own data in minutes, it becomes harder to justify millions of dollars for outside teams to produce similar charts and recommendations.^[1] For citizens already angry at wasteful corporate spending, especially when it leads to layoffs, this looks like another example of insiders getting rich off work that technology shows was never worth what it cost.^[4]^[5]

AI And Client Power: From Billable Hours To Outcomes And Tools

Analysts who study the sector say the real story is not that consulting is disappearing, but that power is shifting from consultants to clients as AI spreads.^[1] A major industry analysis argues that by 2030 “the consulting industry as we know it will no longer exist,” not because advice is useless, but because clients are redefining what they expect and what they will pay for.^[1] Artificial intelligence has “democratized information,” meaning many insights that once required outside experts are now available in-house to any team with good data and the right tools.^[1] A McKinsey report cited in that analysis found that almost three quarters of organizations were already using AI in at least one part of their business by 2024, up sharply from the year before.^[1] As companies build their own analytic muscles, they want consulting partners who help them become more self-reliant, not more dependent on expensive outsiders.^[1]

New models are emerging that flip the old incentives on their head, tying pay to real outcomes instead of hours billed.^[1] One framework describes four rising types of firms: “platform enablers” that sell analytics and AI products clients can run themselves, “capability builders” that measure success by how independent the client becomes, “outcome guarantors” that share risk with performance-based fees, and “ecosystem orchestrators” that help many partners work together on complex problems.^[1] In each case, the consultant’s job shifts from writing long reports to helping the client’s own people and systems get better over time.^[1] For citizens who are tired of watching money flow to Beltway-style experts with little accountability, this move toward clear metrics, shared risk, and practical tools looks like overdue pressure on an industry that for decades operated with very little transparency.^[1]

Not Dead Yet: How Consulting Is Restructuring Around A Higher Bar

Some insiders push back hard on the idea that AI is “destroying” consulting, arguing instead that it is raising the bar on what real experts must deliver.^[2] One veteran consultant writes that “consulting is not dead” and calls the collapse talk “nonsense,” while admitting that several old business models have been shrinking for years and that AI has sped up that decline.^[2] From this view, the problem is not advice itself but bloated firms that sold generic slide decks, relied on brute-force staffing, and rarely stayed around long enough to own the results.^[2]^[3] Harvard’s analysis supports this nuance, framing the current crunch as a management and positioning failure: firms need to “reset” around core top-management work and use AI as a transformative tool, not a threat.^[4] That means fewer junior staff, leaner teams, and a sharper focus on decisions that truly shape a company’s future.^[3]^[4]

Financial writers tracking public consulting and outsourcing companies see a similar pattern of stress without total collapse.^[5] One recent breakdown notes that big names like Accenture, Gartner, and IBM have struggled in the stock market, even as their leaders claim that fear of AI disruption is driving fresh demand for consulting.^[5] These executives say they are using AI inside their own firms to cut costs and improve profit margins, which again suggests a thinner, more automated version of the old model rather than a clean break.^[5] Yet the same analysis warns that while AI may be a short-term boost, it could turn into a headwind as clients figure out how much of the work they can do in-house by 2027 and beyond.^[5] For Americans across the political spectrum who see a pattern of elite industries resisting change until the numbers force their hand, consulting’s current struggle looks like one more proof that when powerful insiders are finally pressed to compete on clear results and fair prices, the price of “expertise” suddenly drops.^[1]^[5]