- The report finds that developers are massively believing that AI can manage marketing tasks once thought of automation of automation
- Stroyblok finds that 90% of developers use AI tools frequently or constantly in their coding
- The adoption of the strong AI in the forms of coding perceptions that marketing work could also be absorbed
An increasing number of developers now believe that artificial intelligence is ready to absorb a large part of what marketing teams are currently doing, new research said.
A survey by CMS Storyblok in 200 senior developers has revealed that almost three -quarters of respondents think that AI could manage “most” or “all” the marketing responsibilities of their business.
More specifically, almost a third (28.5%) said they could manage the entire function with AI, while almost half (45.5%) were confident that they could manage most of them.
Confidence gap between developers and marketing specialists
The study also revealed that 20% thought that at least certain marketing roles could be moved to AI, but a minority, 5%, said that AI should not play any role in replacing marketing.
When marketing specialists were asked the same question in the opposite direction, less certainly expressed certainty as to doing the work of developers.
Only 18.5% said they could cover all the work of a developer, while 32% thought they could manage the most, and more than a third admitted that they could only do it.
Developers, on the other hand, seem to consider their growing dependence on automation as a transferable force that makes other roles more vulnerable to displacement.
This perspective is shaped by the depth of engineering AI, because the survey reports that almost 90% of developers use AI tools frequently or constantly in their coding work.
The most common reason cited is “the increase in efficiency”, chosen by 30%, followed closely by automating routine tasks at 23%and improving skills at 22%.
These tools are no longer considered as occasional aid but as daily instruments for writing and testing the code, debugging and accelerating learning.
This growing familiarity with automation has also changed problem solving habits.
When you encounter obstacles, more than a third (34%) of the developers say they are now turning into an AI tool, against only 20% who consult a colleague.
This change reveals more than just preference for speed, it shows how confidence in the machine guides is starting to prevail over dependence on peer exchange.
Such dependence shapes the perceptions of what could be achievable beyond engineering.
If AI is already able to generate functional code, identify bugs and rationalize the tasks formerly too complex to automate, management on the repetitive side and focused on the process can appear at hand.
“Developers are among the most exposed to the impact of technological developments, therefore acquire a more in-depth understanding of their personal preferences, stress and productivity and productivity can therefore help companies determine the best way to manage change, improvement of happiness and productivity,” said Dominik Angerer, PDG and co-founder of Storyblok.
