According to Google’s 2025 DORA (DevOps Research and Assessment) Report, 90% of developers now use AI marketing tools and other AI solutions every single day, with an average of two hours spent integrating AI directly into their core workflows.
For developers, AI assistants like GitHub Copilot have shifted from novelty to necessity—powering everything from coding suggestions to automated testing. But this isn’t just a developer story. It’s a blueprint for what’s about to happen across marketing and creative teams worldwide.
AI is becoming the invisible backbone of how work gets done. For marketers, that means AI-driven content pipelines, campaign ideation, and workflow automation will soon be as essential as email or analytics dashboards.
Developers Show Us the AI Adoption Curve
The rise of AI in software engineering offers a preview of how other industries will adapt:
- Initial Curiosity → Experimentation: Early adopters tested AI coding tools for productivity boosts.
- Mainstream Integration: Tools like GitHub Copilot became standard, embedded directly into daily workflows.
- Dependency on AI Efficiency: Now, developers can’t imagine workflows without AI—the gains are too significant.
Marketing teams are on the same trajectory. Tools like Agent Bloom will soon play the same role GitHub Copilot does for developers—always-on copilots for content creation, campaign management, and creative ideation.
Why This Matters for Marketing Teams
As AI scales beyond dev teams, marketers face a new normal:
- Content Creation at Scale → AI agents can draft, adapt, and personalize campaigns across channels in real time.
- Workflow Optimization → Manual campaign operations are replaced by AI-powered orchestration, freeing teams to focus on strategy.
- Data-Informed Creativity → AI helps marketers move from guesswork to insight-driven creativity with dynamic audience targeting.
- Always-On Campaign Ideation → Just as developers “pair program” with AI, marketers will “co-create” campaigns with AI copilots.
This isn’t about replacing human creativity—it’s about unlocking more of it by automating repetitive work.
How ProjectBloom Powers the Next Wave of AI Adoption
ProjectBloom helps marketing teams embrace the same AI-driven efficiency developers already enjoy, through AI-powered marketing automation:
- Agent Bloom for Content Pipelines
- A marketing copilot that generates campaign ideas, drafts multi-channel content, and adapts brand voice at scale.
- Workflow Automation
- Automates campaign scheduling, reporting, and optimization, removing friction from marketing operations.
- AI-Native Collaboration
- Streamlines collaboration across multiple brands and teams, ensuring consistency and agility in campaigns.
- Continuous Optimization
- Learns from campaign performance data to refine outputs, much like how AI coding tools continuously improve with usage.
What Marketing Leaders Should Do Now
- Audit Your Workflows → Identify repetitive tasks where AI can save hours every week.
- Test with Low-Stakes Campaigns → Start with AI-assisted content creation and expand from there.
- Invest in AI-First Platforms → Choose tools like ProjectBloom that combine content creation, automation, and workflow management in one place.
- Train Your Teams → Just as developers needed to learn how to “pair code” with AI, marketers need to learn how to “co-create” with AI.
The Future of Marketing Is AI-Native
If 90% of developers now rely on AI daily, it’s only a matter of time before 90% of marketers do the same. The path is clear: AI tools start as add-ons, then become integrations, and eventually turn into essential copilots.
ProjectBloom ensures your team is ready for this shift—helping you unlock efficiency, scale, and creativity with AI-powered marketing automation.
🚀 Ready to empower your team with an AI copilot? Request a demo and see how ProjectBloom transforms your marketing workflows.
References
Google. “2025 DORA Report: Accelerating Software Delivery with AI,” September 2025.