The Agency Value Equation Is Changing

According to Forrester’s 2026 research on B2B agency investments, 93% of surveyed marketing leaders continue to work with agencies. But they’re becoming more selective about where they spend, and increasingly consider AI readiness an important factor in choosing agency partners. The research also points to a gap between the importance clients place on these capabilities and their satisfaction with what agencies are delivering.

It’s an interesting finding, particularly given how much of the conversation about AI in marketing has centered on productivity, efficiency, and cost savings. Those are legitimate considerations, but they largely describe what AI can do for agencies. The real question is what should AI make possible for clients?

For years, the scope of an agency’s recommendations has been influenced by the economics of producing the work. A campaign might feature one creative approach across multiple audiences because developing distinct executions was prohibitively expensive. A video concept might be scaled back because a particular location or scenario was beyond the production budget. A company might settle for stock photography because creating an extensive custom image library wasn’t practical.

Those constraints haven’t disappeared, but many are changing. And that should change the conversations agencies are having with their clients.

Here are five expectations B2B marketers should be bringing to their agency relationships.

1. Paid Media Creative That Reflects Your Audiences

B2B companies frequently invest considerable effort in defining their audience segments, developing personas, and understanding the different needs of decision-makers. Yet when it comes to paid media and social advertising, those distinctions often disappear into a relatively small collection of creative executions.

AI-assisted production makes it increasingly practical to develop variations in both messaging and imagery for different industries, buying roles, company sizes, or use cases. A campaign targeting manufacturing executives, for example, doesn’t necessarily need to look or sound identical to one reaching financial services leaders.

This doesn’t mean producing dozens of variations simply because it’s possible. It means your agency should be discussing where greater specificity could improve relevance, what it would take to develop those variations, and how their performance might be evaluated.

The opportunity is to make audience segmentation more than an exercise that lives in the strategy presentation.

2. More Ambitious Video Production Options

Video has always involved trade-offs between creative ambition and production economics. Locations, talent, specialized equipment, visual effects, and complex scenarios can quickly put certain ideas beyond reach.

AI-assisted production is expanding those possibilities. Environments can be created or extended, scenes can be visualized before production, and certain sequences that once required elaborate shoots or postproduction work can now be approached differently.

That doesn’t mean traditional production is becoming obsolete. Authenticity, human performance, product accuracy, and the particular demands of a creative concept may still make live-action production the strongest choice.

But clients should increasingly be presented with alternatives: a conventional shoot, an AI-assisted production, or a hybrid approach that combines the strengths of both. Each comes with different implications for cost, creative control, realism, and production quality.

The expectation isn’t that every video should use AI. It’s that a client’s creative possibilities shouldn’t be limited to the production methods an agency has traditionally offered.

3. Custom Imagery Instead of Stock Photography Compromises

Finding appropriate imagery has long been a challenge in B2B marketing, particularly for companies operating in specialized industries or serving highly specific customer audiences.

The familiar result is a collection of stock photographs that are close enough to the intended subject, even when the people, environments, equipment, or situations aren’t quite right. Over time, those compromises can produce a visual identity that feels generic or disconnected from the business.

AI-generated and AI-assisted imagery creates opportunities to develop much more tailored visual libraries. Companies can represent specific customer types, industries, workplace environments, and scenarios with a level of consistency and specificity that previously required substantial custom photography budgets.

There are important considerations involving accuracy, authenticity, intellectual property, and how imagery represents real products or operations. In some circumstances, original photography remains essential.

But agencies should be helping clients understand the options, including original photography, AI-generated imagery, and hybrid approaches. The decision to use stock should increasingly be a deliberate choice rather than the default dictated by budget.

4. Research That Goes Further

Research is another area where the economics of the work have historically influenced its scope. Expanding a study to additional audiences, examining more competitive information, or incorporating extensive qualitative findings can add considerable time and expense.

AI is changing what’s practical, particularly in how research inputs are gathered, organized, analyzed, and connected.

Consider a B2B company evaluating its market position. A focused study might examine brand awareness among a defined audience. A broader program could also explore brand associations, competitive alternatives, differences among buyer segments, and the reasons opportunities are won or lost.

AI-assisted methods can help develop more precisely targeted research lists, examine larger volumes of competitive material, and analyze open-ended survey responses and interview transcripts. They can also make it easier to connect findings across research activities and preserve the underlying evidence for future use.

None of this eliminates the need for sound methodology, representative samples, careful interpretation, or experienced researchers. AI cannot manufacture reliable findings where the evidence is insufficient.

What it can do is make richer research programs more economically accessible. Agencies should be presenting clients with meaningful choices about the breadth and depth of the work, explaining what additional investment would reveal and where the limits of the findings would remain.

5. More Choices in Website Development

Website development has always involved consequential decisions about technology, architecture, and long-term maintenance. Yet clients are sometimes presented with a recommended solution without a clear understanding of the alternatives.

A conventional content management system, a headless architecture, and a hybrid approach can offer different advantages depending on the business’s needs. The trade-offs may involve performance, flexibility, integration requirements, content management, security, maintenance, and total cost of ownership.

AI-assisted development is changing aspects of the economics of building and maintaining websites, potentially making some approaches more accessible. But it doesn’t erase the technical differences among them or make more sophisticated architecture inherently preferable.

Clients should expect their agencies to explain the available options in terms that connect technology decisions to business requirements. What will the marketing team be able to manage independently? What happens when the site needs to expand? How easily can it integrate with other systems? What are the implications for ongoing support?

The right recommendation may still be the simplest solution. What matters is that the client understands why it is right, what alternatives were considered, and what they’re choosing not to pursue.

A New Expectation of the Agency Relationship

None of these examples suggests that clients need unlimited options, endless creative variations, or more complicated projects. In fact, too many choices without informed guidance can make decisions harder.

The agency’s responsibility is to identify which alternatives are worth considering, explain their implications, and make a recommendation grounded in the client’s objectives and investment.

That’s where the Forrester findings become particularly relevant. As B2B marketers become more selective about agency spending, the conversation about value should extend beyond what an agency charges or how efficiently it operates.

A meaningful part of that value is helping clients understand what’s possible today that might not have been practical even a short time ago.

Clients shouldn’t have to arrive at an agency meeting already knowing which technologies, production approaches, or research methods could improve their work. They should be able to rely on their agency to bring those possibilities forward.

The most consequential change AI brings to agency relationships may not be how much faster the work gets done. It may be new options for much richer and more effective deliverables for the same investment.