The latest recruiting brainfood newsletter from Hung Lee shared a nice report on the state of AI. They asked 730 tech folks in April 2024.
Key Takeaways:
💡 AI sentiment, after the hype storm of 2023, a more clear-eyed view seems to be emerging of AI’s relative immaturity, current limitations—and big potential. When it comes to actionable AI, this is just the beginning.
💡AI adoption, maybe everyone’s using it, but most respondents were clear that they were a long way from the top. Plenty of respondents rated their company well—about 30% consider themselves either “running” or “flying” when it comes to adoption.
💡 Who’s seeing the most productivity gains? Overall, a strong majority of respondents who use copilots or other AI tools at work report increased productivity from doing so. It also plays out that the more you use AI tools, the more likely you are to find them valuable: 64.4% of daily users report significant productivity improvements, versus 17% of weekly users and 6.6% of occasional users.
💡 The jobs are not on fire. 45.7% rated entry-level ICs as most at risk of replacement by AI. Middle management takes second place (13.2%), Senior ICs and executive/senior leadership are seen as low risk. And relatedly (or not) executives’ enthusiasm for adopting AI has been strong: C-suite respondents were the biggest daily users of AI at ~72% (other roles range from ~45–56%). They also reported the highest impact and productivity increases versus other roles, adding to the idea that AI is less of a threat than a tool.
💡 These teams use AI! Engineering (45%), Marketing (36,2%), Data Science (32,8%), Product (31,1%), Ops (31%), Support (28,4%), Sales (24,9%), Finance (12,7%), HR (10,3%) and Legal (8,8%). Two of the top three pain points respondents associated with developing AI apps were model output accuracy/hallucinations (38.9%) and data access/security (33.5%) which have remained largely unchanged from 2023’s survey.
Closing Thoughts: On an individual level, AI has a meaningful impact on the way people work. Businesses are still figuring out how to make the most impactful use of the evolving tech. Developers need executive buy-in, adequate staffing and funding, and robust data governance to succeed with AI projects.
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2moVery nice article John Vlastelica . You know I agree with you so much I started a whole podcast and club dedicated to it this year 😅 The Holistic Recruiter Club