When generative AI swept through professional services in 2023, the assumption was immediate and confident: competition would collapse. Clients would push for discounts. Agencies would race each other to the floor, and whatever efficiency gains the technology delivered would dissolve under margin pressure. A new report from Productive.io, the agency-management platform co-founded by Tomislav Car, tells a different story. That expected price war has largely failed to materialize.

The firm surveyed roughly 180 agencies across creative, digital, and consultancy work, and the numbers overturn a common narrative.

Only 13 percent of respondents have lowered prices in response to client pressure. That holds even though 27 percent report fielding requests for AI-related discounts, with the vast majority of those agencies declining outright or negotiating around the requests entirely. Another 31 percent saw little pricing movement at all. Twenty-nine percent haven’t settled on a formal pricing model.

The data points to a market that has largely refused to trade value for volume.

Agencies Hold Ground on Rates

The resilience in pricing is unexpected. Industry observers and some clients anticipated that AI adoption would trigger immediate fee compression. Agency leaders, it turns out, adopted a firmer negotiating stance than most predicted. Among firms that reported positive revenue impact from AI implementation, nearly half held prices steady or raised them, improving operational margins in the process. That group represents the early movers who restructured what they offered around efficiency and capability rather than cost.

The contrast with laggards is stark. Agencies still relying on time-and-materials billing reported significantly higher client pushback, and those that had already shifted toward outcome-based or retainer arrangements faced far less pressure to discount.

Reshaping the Value Conversation

The survey captures a key shift in how agencies frame pricing discussions. Rather than treating AI as a cost-reduction opportunity for clients, successful firms are repositioning efficiency gains as an investment in quality and experimentation. The Productive.io report identifies several approaches that appear to work.

Firms that led with strategic expertise and context-specific thinking, rather than labor hours or tooling costs, reported fewer discount requests. Being transparent about where AI increases output and where human judgment is still critical proved useful in managing client expectations. Outcome-based pricing models, which tie fees to results rather than effort, showed up as the most resilient structure of all.

Price defense isn’t passive. When efficiency freed up capacity, top performers reinvested the time into higher-quality work, additional testing, or extra deliverables rather than surrendering the savings as lower rates. That practice reinforced the perception that the agency was delivering more value, not simply working cheaper.

The Pricing Model Problem

One problem persists. Approximately 29 percent of surveyed agencies reported having no settled pricing model at all, and 47 percent of those lacking a clear model also reported no positive revenue impact from AI. The correlation suggests that firms without a structured commercial approach to AI haven’t been able to capture efficiency gains at all, let alone convert them into higher margins.

Time-and-materials pricing, historically the default for many agencies, proved vulnerable. Retainer models weathered AI adoption more comfortably. Outcome-based contracts showed the strongest growth trajectory, though adoption of them is still limited.

Growth Without Discounting

The core result pushes back hard on the “AI discount” prediction. Positive revenue growth from AI implementation was reported by 65 percent of agencies overall, and among that group, roughly half maintained or raised rates. The distribution suggests AI adoption is producing winners and laggards rather than uniform price compression across the sector.

Timing matters too. Early movers who restructured their value proposition and billing terms before major client conversations gained a stronger negotiating position. Those caught off-guard by discount demands were more likely to concede ground.

What Comes Next

The agency sector is in a transition, not a collapse. The expected price war hasn’t arrived, but the underlying business model is shifting away from labor-hour billing toward strategic results and client impact. How quickly the industry adopts new commercial frameworks will likely determine whether AI-driven efficiency becomes a durable source of competitive advantage or simply another margin-compressing technology.

For now, the data suggests most agencies have chosen to defend their pricing. Whether they can hold that position as AI tools become more commoditized is an open question, but the Productive.io survey indicates a price floor has held, at least among early adopters.