AI gains are not shortening campaign timelines, report says

Marketing teams are using AI to create more work faster, but many companies are not seeing campaigns launch sooner, according to the Typeface Signal Report cited in a Fortune commentary. The report points to a widening gap between faster content production and slower enterprise decision-making.

According to the Fortune commentary, executives at large companies are now less focused on whether AI works and more focused on how to make it function across an organization. The central problem, the commentary says, is that AI often speeds the first step of a process while leaving approvals, legal reviews, handoffs and vendor coordination unchanged.

Typeface’s report describes that mismatch as an “AI Speed Paradox.” It found that 92% of marketing leaders said campaigns require at least 10 stakeholders, while 44% said campaigns involve 20 or more people. More than half said a single campaign depends on at least nine vendors and tools, and 88% said approval delays from the C-suite slow launches.

The report also found limited readiness for faster AI-driven operations. According to Typeface, 16% of organizations said they were prepared to operate at AI speed, and 20% said they had workflows ready for AI.

Campaign timelines have stretched as those operational pressures have grown, according to the report. Typeface said only half of respondents now view one to two weeks as an acceptable delivery window, compared with 85% in its 2025 survey. It also found that two in five organizations expect campaigns to take three to four weeks, while 34% require one to two months, up from 5% a year earlier.

The Fortune commentary argues that the delay is rooted in organizational design rather than the speed of AI tools. It says many enterprise AI deployments remain a set of disconnected products, with limited coordination across systems and teams.

That fragmentation can raise costs, according to the commentary, because companies add AI tools while delivery cycles still lengthen. The piece says organizations also face broader requirements than building or deploying a model, including governance, security, integrations, workflow design and enterprise-scale operations.

Workflow redesign, not more tools

The Fortune commentary says companies seeing better returns are redesigning how work moves through the business. That includes coordinating governance, systems and human approvals, rather than only increasing the amount of AI-generated material.

One example cited in the commentary is the use of predefined rules so AI-created content can meet brand, compliance and personalization requirements before it reaches later review stages. In that model, humans set strategy and creative direction while governance is built into the workflow, reducing avoidable review cycles, according to the commentary.

The commentary identifies four priorities for marketing leaders seeking stronger returns from AI investments:

• Secure executive sponsorship early, with leaders on both the customer and technology-partner sides involved in removing barriers.
• Redesign workflows from start to finish before automating them.
• Build governance, security, compliance and accountability into daily operations.
• Judge AI programs by business outcomes such as faster execution and fewer bottlenecks, rather than by content volume.

According to the Fortune commentary, the companies most likely to benefit from AI are those that reduce organizational friction after content is created. Typeface’s findings suggest that without those changes, faster content production can feed a slower and more crowded delivery process.

This story draws on original reporting from Fortune.