AI’s Consulting Takeover: Navigating the New Era of Enterprise Solutions

AI’s Consulting Takeover: New Era of Solutions

The AI boom is reshaping the consulting landscape, presenting both unprecedented opportunities and existential threats to traditional firms. As AI and Large Language Models (LLMs) automate information processing and advice generation, technology providers like OpenAI are directly entering the services arena with “forward deployed engineers.” This shift signals a future where software companies increasingly offer integrated consulting, challenging established players and driving a new competitive dynamic in the enterprise solutions market.

Points clés

Consulting firms like Accenture and McKinsey are experiencing a significant revenue increase from AI-related engagements, yet AI also poses an existential threat to their traditional models.
OpenAI is expanding into consulting-like services, deploying engineers to guide customers through fine-tuning models like GPT-4o using proprietary corporate data, typically requiring a minimum spend of $10 million.
Ex-OpenAI CTO Mira Murati’s new startup, Thinking Machines Lab (TML), plans to customize AI models based on specific business metrics and KPIs, having raised a $2 billion seed round on a $10 billion valuation.
OpenAI is actively hiring “forward deployed engineers” (FDEs), a role popularized by Palantir, to embed directly with customers and tailor AI solutions.
Palantir’s FDE model, initially met with skepticism for its service-heavy approach, has proven highly successful, demonstrating the value of deep customer integration over pure product-led growth.
Andreessen Horowitz’s research highlights a shift from product-led growth (PLG) to implementation-heavy enterprise software, noting that companies like Salesforce and ServiceNow achieved dominance through complex integrations.
OpenAI is forming partnerships with development shops and implementation labs, such as Tribe AI and Fractional, to provide end-to-end support for AI model deployment.
PWC’s Chief AI Officer, Dan Priest, reported that the firm has begun cutting prices for AI services due to efficiencies gained from AI, indicating downward price pressure on consulting fees.
The Economist noted a significant drop in Accenture’s market value by $60 billion since February, attributing it to declining new bookings and deeper issues related to adapting to general AI.

À retenir

So, it seems our beloved consultants, who once told everyone else how to adapt, are now getting a taste of their own medicine. With AI eating their lunch (and probably their dinner too), it’s clear that if you’re not embedding engineers directly into your clients’ offices, you’re basically just a fancy PowerPoint presentation. The good news is, if you’re a non-expert, you might soon get top-tier AI-powered insights for a fraction of the cost. The bad news? Your favorite consultant might be retraining as a “forward deployed engineer” – so prepare for highly technical, yet surprisingly affordable, conversations about your KPIs. Who needs human touch when you have a finely tuned model, right?

Sources