How often are tech professionals actually using artificial intelligence (AI) tools for code generation and other vital tasks?
That’s a core question tackled by data from Dice’s new Sentiment Report, a comprehensive look at tech professionals’ opinions on everything from remote work to office culture. The Report, based on 520 qualified responses from fully employed technology professionals residing in the U.S., found that nearly half (49 percent) of tech professionals who specialize in AI use AI tools at least once a week, versus 25 percent of “generalized” tech professionals.
Of the AI professionals who use generative AI in their everyday work, 36 percent say that these tools make a significant impact on their work. Meanwhile, 50 percent believe that there will be a significant impact to the future of their work. On the software development front, popular tools for AI work include ChatGPT, GitHub CoPilot, Google Gemini, and other AI-powered chatbots; one recent survey indicated that tech professionals (including developers) are primarily using AI for writing code, building out their knowledge base, and supporting chatbots, while fewer are relying on the technology for tasks such as extracting unstructured data or automating end-to-end workflows.
Of the 25 percent of tech professionals responsible for developing or implementing AI solutions or systems, a little more than half believe their projects are strategically valuable to their company, according to the Sentiment Report’s data. Additionally, 33 percent indicated that the AI-related projects they work on are primarily used to demonstrate the company's involvement in AI to stakeholders. As you might expect, the AI professionals who feel their projects are strategically valuable are also more likely to be satisfied with their current role.
However companies are using AI, keep in mind that speed of implementation is important; those tech teams that don’t integrate this technology into their respective tech stacks risk being left behind. AI is evolving rapidly, meaning it could quickly become mission critical to many companies and industries.
