
Marketers are stuck, and that includes those who
lead email teams.
The demand for personalized content is surging, but most practitioners are trapped in slow, fragmented workflows, according to a new study titled The Typeface Signal
Report.
The study argues that AI projects must move beyond the pilot stage. But how?
Of the marketers polled, 82% use AI, yet are stalled in
the process.
Here are the top barriers to AI scaling, followed by the percentage of failed pilots:
- Compliance/legal/privacy concerns —
56%
- Lack of technical resources/IT support — 53%
- Poor data quality affecting output — 48%
- Brand
safety/consistency governance — 48%
- Cultural resistance/change management — 48%
- Poor integration with existing systems — 47%
- Lack of executive sponsorship — 22%
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Here are several signals that document problems:
- Although 83% expect automation
to reduce most agency spending, 47% still can't deliver true personalization, and budget reallocation is happening faster than capability development, creating strategic misalignment.
- Workflows can't support an improvement in speed of campaigns without systemic change - although 69% of campaigns take 3–4 weeks to launch, 85% of leaders want 1– to-2-week
turnarounds
- Marketing leaders spend 15+ hours weekly on tasks that can be automated, but are spending 15% less time for strategic planning than desired and remain trapped
in execution, with 84% viewing their role as creative rather than operational
- While 82% of marketers use AI agents, most implementations remain experimental, preventing
the transformation needed for enterprise scaling
Marketers seeking to reverse these conditions must:
- Orchestrate workflows
- Reclaim
time for strategy
- Scale with trust
Typeface surveyed 200+ marketing leaders in the United States.