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Tech Leaders Embrace AI Coding Tools While Demanding Strict Oversight

• By John K. Waters
• September 10, 2025

Technology executives have rapidly adopted artificial intelligence coding tools. Still, they are establishing strict oversight protocols to prevent quality issues and maintain developer accountability, according to new research highlighting the cautious approach companies are taking toward automated programming assistance.

The survey of 300 technology decision-makers across North America, Europe and Asia-Pacific found that 92% now use AI-assisted coding tools, with more than three-quarters of developers using them daily. However, 95% of leaders identified significant risks in deploying AI-generated code without adequate review.

The findings, released by design platform Canva, underscore how enterprises are balancing the productivity promise of AI tools against concerns about code quality, security vulnerabilities, and the long-term impact on developer skills.

"AI in engineering is a real disruptive change that can't be ignored," said Brendan Humphreys, Canva's chief technology officer, in a statement. "The engineers who will thrive in this new era are adopting AI to enhance their thinking and output, not replace it."

Governance Structures Emerge
The research reveals that companies are implementing formal governance structures around AI coding tools. More than half of organizations have assigned oversight responsibility to senior executives at the CTO or CIO level, reflecting the strategic importance placed on managing these technologies.

To maintain code quality, 93% of technology leaders said AI-generated code undergoes review before being integrated into production systems. This represents a significant shift from traditional development workflows, where peer review practices varied more widely across organizations.

The emphasis on human oversight comes as companies report substantial productivity benefits from AI coding tools. Two-thirds of organizations expect their use of AI coding to increase significantly over the next year, with 64% citing productivity gains as the primary motivation.

AI tools have proven particularly effective for rapid prototyping, exploring new development approaches, and generating initial code drafts, according to the survey. These capabilities allow development teams to reduce iteration costs and accelerate project timelines while maintaining quality standards through human review processes.

Skills Transformation Raises Questions
The widespread adoption of AI coding tools is fundamentally altering the skill requirements for software developers, with 94% of technology leaders believing these tools are transforming developer capabilities.

Companies appear comfortable integrating AI tools into their hiring processes, with 95% of executives expressing willingness to use them during technical interviews. This acceptance suggests that proficiency with AI coding assistance is becoming an expected competency rather than an optional skill.

However, technology leaders express significant concerns about the long-term implications for developer growth. Thirty percent identified over-reliance on AI without proper accountability as their primary worry, while 21% expressed concern that junior engineers might see their professional development hindered by excessive dependence on automated assistance.

These concerns reflect broader questions facing the technology industry about how AI tools will reshape professional roles and career development pathways. Companies are grappling with ensuring that developers maintain fundamental programming skills while leveraging AI capabilities to enhance productivity.

Market Implications
The rapid adoption of AI coding tools represents a significant shift in enterprise software development practices. The survey data suggests that companies view these tools as essential competitive advantages rather than experimental technologies.

The research covered technology decision-makers from the United States, the United Kingdom, Germany, France, India, and Australia, providing a global perspective on AI coding adoption patterns. The consistency of findings across different markets suggests that the integration of AI coding tools is a worldwide phenomenon rather than concentrated in specific regions.

Companies are positioning AI as a complement to human capabilities rather than a replacement, emphasizing the continued importance of human judgment, creativity, and critical thinking in software development processes.

The survey was conducted in August by Watermelon Research and coordinated by Method Communications on behalf of Canva, which offers design and collaboration tools to businesses and consumers globally.