$40 Billion in Consulting Revenue is Up For Grabs as OpenAI and Anthropic Wage Enterprise AI War
A projected 40% of McKinsey’s client work now involves AI or analytics, a figure that underscores the seismic shift underway in the consulting industry – and the desperate battle between OpenAI and Anthropic to control its future. This isn’t simply about tech companies partnering with advisors; it’s a strategic land grab for the estimated $40 billion in annual revenue generated by the top consulting firms, with AI implementation poised to become a dominant service offering. The speed of this transformation is remarkable: just two years after the release of ChatGPT, both AI giants are leveraging consulting firms as crucial distribution channels, effectively outsourcing the complex task of enterprise integration.
Reporting from Business Insider informs this analysis.
The move to enlist consulting powerhouses like Boston Consulting Group (BCG), Accenture, and Capgemini (for OpenAI) and Deloitte (for Anthropic) isn’t a coincidence. It’s a direct response to the limitations of a purely product-led growth strategy. While consumer adoption of AI tools has been rapid, embedding these technologies into the intricate workflows of large organizations requires specialized expertise – expertise that consulting firms possess in abundance. Ben Ellencweig, a senior partner at McKinsey, stated in a press release, “Working side by side with OpenAI enhances our ability to help companies reimagine their business to capture more value from AI.” This isn’t altruism; it’s a recognition that McKinsey’s existing client relationships and implementation capabilities are essential for OpenAI to realize its revenue ambitions.
This dynamic reveals a critical tension: both OpenAI and Anthropic are acutely aware of their dependence on intermediaries. OpenAI is under intense pressure to demonstrate revenue growth following its turbulent leadership changes and substantial investment from Microsoft. Anthropic, meanwhile, has long positioned enterprise adoption as central to its long-term strategy, needing to prove its model’s viability beyond research and development. The partnerships aren’t just about accelerating adoption; they’re about mitigating risk. By offloading the complexities of implementation to established firms, both companies reduce their own operational burden and share the responsibility for successful outcomes. This is particularly crucial in heavily regulated industries like financial services and healthcare, where Anthropic’s partnership with Deloitte aims to build AI solutions with built-in compliance.
However, the consulting firms aren’t passive recipients in this arrangement. They are actively reshaping their own business models to capitalize on the AI boom. BCG reports that nearly 90% of its 33,000 employees now utilize AI tools, and the firm has created more custom GPTs than any other OpenAI customer – a fivefold increase in just one year, according to Alicia Pittman, head of BCG’s global people team. This internal adoption isn’t merely about efficiency gains; it’s about demonstrating expertise to clients and justifying higher consulting fees. The firms are essentially betting that their ability to navigate the complexities of AI implementation will be a valuable differentiator in a crowded market. Yet, as Mina Alaghband, a former McKinsey partner, points out, “There are many [use cases] where [AI tools] are not sufficiently enterprise-grade. They don't have sufficient guardrails.” This highlights a critical gap: the current generation of AI tools, while powerful, often lack the robustness and security features required for mission-critical applications.
The implications for businesses are significant. The influx of AI expertise from consulting firms will likely accelerate the adoption of these technologies, but it will also drive up costs. Companies will face pressure to invest in AI implementation projects, even if the return on investment is uncertain. The consulting firms, armed with their AI-powered tools and specialized knowledge, will be in a strong position to capture a significant share of this spending. For investors, this signals a potential boom for the consulting sector, but also a heightened risk of overspending on AI initiatives.
What this means for your wallet: expect to see AI implementation costs factored into the price of services across various industries. The question now is not if AI will impact your business, but how much it will cost to integrate effectively – and whether the promised benefits will outweigh the expense. Watch closely for companies that prioritize demonstrable ROI from AI projects over simply adopting the latest technology, as those will be the ones best positioned to navigate this evolving landscape.
