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A new survey reveals how tech professionals truly feel about AI in the workplace, offering insights into its actual impact beyond the hype, from everyday use to broader industry trends.
In 2023, artificial intelligence (AI), particularly generative AI, has undeniably entered the mainstream. With over 100 million weekly active users on platforms like ChatGPT, AI tools have become a household name. However, beyond the hype and casual use cases, how are tech professionals actually perceiving and utilizing these technologies? A recent survey of over 1,500 software engineers, business leaders, executives, product managers, designers, and more provides some insightful answers.
The adoption and sentiment towards AI among tech workers can significantly influence the development and deployment of AI solutions in various industries. Understanding their views helps businesses make informed decisions about AI investments and strategies. The survey reveals a nuanced perspective on AI's current state and its impact on day-to-day work, particularly for developers.

The survey reveals that while AI is generating significant buzz, it may not be as revolutionary as some claim. Respondents were asked to rate how fairly they believe AI is rated:
Upper management had the most positive views, with VPs averaging a rating of 5 (fairly rated) and the C-suite at 5.3. In contrast, ICs were more skeptical, with entry-level employees giving an average rating of 5.9 and mid-to-senior ICs a 6.
One of the most significant impacts of AI is its effect on how developers learn and work. The survey found that:
The primary reasons cited for this shift include the use of GitHub Copilot (93.7%) and ChatGPT, which offer real-time coding assistance and problem-solving capabilities. This trend suggests that AI is not just a novelty but a practical tool that can enhance developer productivity and efficiency.
While AI has undoubtedly captured the public's imagination, its adoption among tech professionals reveals a more measured view. The survey highlights both the potential and challenges of integrating AI into business processes. As AI continues to evolve, it will be crucial for organizations to manage expectations, address implementation hurdles, and leverage these technologies to drive meaningful innovation.
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About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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15 November 2023
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