Companies have long shaped their B2B marketing organizations around a core assumption: Product development would always be the time-intensive part of the business, with development timelines expected to stretch over months or even years.
Since marketers couldn’t create a campaign for software that didn’t yet exist, organizations built their plans around the product calendar. CMOs sequenced their decisions based on launches, giving marketing teams time to staff up appropriately, negotiate agency contracts, and move campaigns through layers of creative, executive, and legal approvals. Sales and marketing had time to fully prep for each major launch.
AI has inverted that assumption.
The bottleneck has moved from developing the product to bringing it to market, and the organizational structures built around the old constraint are now a liability. Most companies haven’t reoriented their organizations for this new reality, and I predict this mismatch will become one of the defining management problems of 2027.
Here’s what leaders need to consider as they redesign their organizations.
FASTER CREATION, BUT SLOWER COORDINATION
AI is enabling engineers to prototype, test, and ship software faster. A McKinsey analysis of almost 300 publicly traded companies using AI to drive software development found that the top performers are seeing improvements of 16% to 30% in time to market, productivity, and customer experience, along with software quality gains of 31% to 45%.
Marketing teams have also adopted AI, of course. Almost 60% of marketers say they use AI multiple times a week, another McKinsey study found. However, less than 10% say they’ve started capturing value across workflows—and only 28% say their companies are significantly revamping their marketing teams and workflows around AI.
Most marketing organizations still operate on coordination structures built for a slower era. A single product announcement can involve messaging, content, website updates, advertising, PR, sales enablement, and performance, each with its own team, systems, and approval process. AI can speed up individual tasks without speeding up the end-to-end campaign process. The strategy may be clear and the product ready to ship, but the handoffs required to turn that strategy into a coordinated campaign can still eat up precious weeks.
THE STRUCTURES BUILT FOR A SLOWER ERA
Three fixtures of the traditional marketing operating model are under increasing pressure.
First, as faster development enables companies to release products and features more frequently, the quarterly campaign calendar becomes less useful. Locking in creative, media, and messaging months in advance made sense only when product timing was also set months in advance.
Second, the agency retainer model will face similar stress. Retainers were designed around predictable campaign volumes and timelines.
Third, fragmented workflows will become a bigger issue as campaign volume increases. Teams will still have to hand off information and work across disparate systems and functions, which can slow execution even when individual tasks are completed faster.
The answer is to redesign the workflow so software can manage more of the coordination between teams and systems once people have made the high-level decisions that require their judgment.
This is where agentic marketing can play a role. Unlike AI tools that perform a single task on command, agentic systems can work from an objective or brief, determine a sequence of actions, execute them, learn from the results, and adjust accordingly.
RETHINK THE WORKFLOW
The question for leaders has changed from “Where can we automate this task?” to “Which decisions need judgment and where can software coordinate execution?” People still need to decide which markets to target, define the product’s differentiated position, interpret customers’ needs, and set the creative. But AI can take on more of the coordination needed to turn those strategic decisions into action.
The management challenge is now to make marketing as responsive as product development has become. That requires reorienting workflows around where people’s judgment is essential and where AI can manage campaign activity within preset parameters.
The companies that pull ahead in 2027 will redesign their marketing function so campaigns can keep pace with faster product development. The point of agentic marketing is to focus people’s attention where judgment and expertise create the most value, while letting AI handle more of the coordination required to get that work done.
Gabe Rogol is CEO of Demandbase.
