Artificial intelligence (AI) is more than a new tool for consulting firms: it is fundamentally reshaping the business model that has underpinned the global consulting industry for the past thirty years. The traditional advantages — large headcounts, global presence and sizable junior cohorts producing billable hours — are losing ground as generative AI automates many routine tasks.
Which tasks are being automated?
Generative AI is rapidly taking over activities that supported the pyramid staffing model: data gathering, analysis, slide creation, contract review and report summarisation. Automating these functions reduces the need to employ large numbers of entry‑level consultants to service projects.
New entrants and AI‑native firms
In the United Kingdom, so‑called "AI‑native" consulting companies have emerged, including units set up by Big Four partners — Deloitte, PwC, EY and KPMG. These firms pair human experts with AI agents, allowing them to deliver large projects with smaller teams. The British Management Consultancies Association estimates that smaller firms’ growth rates can already reach 50 percent, partly because AI lowers market entry costs.
Financial impact and investor concerns
The effects are visible in financial markets. Accenture’s shares have fallen by more than 50 percent from their late‑2021 peak; its market capitalisation has dropped from about 260 billion dollars to roughly 108 billion dollars. Investors worry that models built on offshore delivery centres and routine intellectual work are especially vulnerable to AI adoption.
Restructuring, layoffs and fewer juniors
Major consulting firms are responding: PwC reduced its global headcount by 5,600 people last year, and the Big Four have scaled back entry‑level hiring in several countries, including the UK. Official explanations cite the economic environment and organisational change, but within the industry there is growing acknowledgment that AI will reduce demand for junior staff.
Three fronts of change
AI is attacking the consulting market along three, overlapping fronts:
- Weakening of the generalist role: where quick, cross‑industry problem scoping used to be valuable, corporate AI systems can now perform much of that work.
- Pricing pressure: the time‑based billing model is under strain because AI systems can process thousands of contracts or documents in minutes; McKinsey more than two years ago adjusted partner incentives and ties around one‑third of its work to performance‑based fees.
- Organisational shifts: instead of the classic pyramid, firms are moving to fewer hierarchy levels, smaller junior cohorts, more senior specialists and AI tools. Some describe a "hourglass" structure where mid‑level routine roles disappear first.
Winners and losers
Fast‑moving startups and AI‑native providers may gain, but large consulting brands are not necessarily doomed: they continue to deploy substantial resources into AI development and can manage complex, cross‑border projects because of their global networks. Mid‑sized consultancies may face the toughest challenges, lacking the Big Four’s capital while not being as nimble as new entrants.
Tech firms entering consulting and strategic responses
Technology companies are also moving aggressively into consulting. OpenAI has launched its own consulting and services arm backed by roughly 4 billion dollars of private capital. The Boston Consulting Group reports that about 40 percent of its revenues now come from AI and technology projects, while McKinsey prefers strategic alliances with technology companies rather than building everything in‑house.
Implications for the labour market
A key question for the coming years is the speed at which AI will disrupt consulting labour markets. Major brands still command client trust, and many multinationals continue to seek partners capable of providing legal, technology, financial and strategic advice at scale. Nevertheless, AI is already eroding the long‑standing market dominance of the largest consulting firms, and the classic career path of many juniors — abundant entry‑level roles feeding partner ranks — is unlikely to remain intact.
