According to a survey by Asana, one-quarter of IT leaders regret investing in AI too quickly. The survey also found that nearly two-thirds of IT leaders have seen their departments gain influence due to AI, but almost three-quarters have felt stressed because of the pressure to implement AI. The article highlights the challenges and potential risks associated with quick generative AI adoption, including costs, complexity, technical debt, and the impact of impending regulations and court decisions on AI progress.
According to a report by Snowflake, chatbots built using large language models (LLMs) are on the rise, accounting for 46% of LLM apps as of May 2023. The report also highlights the shift towards chatbots with iterative text input and the use of Python as the preferred programming language for AI projects. Additionally, it emphasizes the importance of data governance in unlocking the value of unstructured data and the need for accelerated execution of data strategies to take advantage of the opportunities presented by advanced AI.
According to a survey by LexisNexis, 86% of professionals are willing to embrace generative AI (GenAI) for creative and professional work, while managers are more cautious about implementing the technology. The survey also found that 70% of professionals either use or plan to use generative AI for personal or work purposes, with the most common use being increasing efficiency and summarizing content. Despite concerns about job displacement, workers have grown more optimistic about how AI can augment human skills. However, a separate survey by Orgvue found that business leaders still have concerns about integrating AI into the workforce effectively and preparing their workforce for AI.
Why do we care?
There’s a downside in rushing, and that’s 1 in 4 regretting investing too quickly. I’d be remiss if I didn’t note that 3 in 4 aren’t saying that. It’s interesting to note as well that all of the risks associated with the technology are standard ones – cost, complexity, technical debt, and regulations. Let’s not get too worked up over that.
This is a standard hype cycle, moving faster.