- The report found that developers overwhelmingly believe that AI can handle marketing tasks that they think are safe from automation
- Stroyblok has found that 90% of developers use it frequently or constantly in their coding
- Recognizing that adoption of heavy AI in coding shapes could also absorb marketing work.
Nowadays, more and more developers believe they are poised to absorb much of what their marketing teams are doing now, new research argues.
A survey conducted by CMS Firm Strayblok through 200 senior developers found nearly three-quarters of respondents who believe AI can manage either “most” or “everything” of the company's marketing responsibilities.
Specifically, almost a third (28.5%) said they could handle the entire feature with AI, and almost half (45.5%) were sure they could manage most of it.
Trust gap between developers and marketers
Additionally, the survey found that 20% believe that at least some marketing roles can be moved to AI, while a 5% minority said that AI should not play a role in marketing shifts.
When marketers were asked the same question in reverse, fewer people expressed such certainty about doing the developer's job.
Only 18.5% said they could cover all the developer work, but 32% believed they could manage the most, with over a third admitting that they could only do a few.
In contrast, developers appear to view the increased dependence on automation as a transferable strength that makes other roles more vulnerable to displacement.
The survey reports that nearly 90% of developers use AI tools frequently or constantly in their coding work, so that outlook is shaped by AI already permeating engineering.
The most common reason cited is “Improved Efficiency” with 30% selected, automate 23% routine tasks and improve 22% skill set.
These tools are no longer considered occasional AIDS, but are considered everyday instruments for writing and testing of code, debugging, and accelerated learning.
This growth, as a familiarity with automation, has also changed problem-solving habits.
When encountering obstacles, over a third (34%) of developers say they are first switched to AI tools, compared to only 20% who consult with their colleagues.
This shift reveals more than just a priority over speed, indicating that trust in machine guidance is beginning to rely on peer exchange.
Such dependencies form a perception of what can be achieved beyond engineering.
Managing the iterative, process-driven aspects of marketing can be seen easily if AI can generate feature code, identify bugs, and streamline tasks that were once thought to be too complicated to automate.
“Developers are most exposed to the impact of technology development, and a broader understanding of individual workplace preferences, stress and productivity helps businesses to manage change and determine the best way to improve happiness and productivity.”
