Roundup: Workers Accept More Use of AI
Users begin to recognize just where AI can fit into their work. And more and more people actually trust it.
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More developers of AI products are considering how to implement viable business models, while workers become more comfortable using generative AI in their work. A year ago, most of the talk we heard was about the potential of Gemini and ChatGPT. Today we’re hearing more about actual use cases and case studies.
Still, there’s a long way to go before AI begins to truly mature. Partly, that’s because exactly how the technology fits into work is still a topic for gut feel and speculation.
According to Salesforce, workers increasingly trust AI to take a significant number of tasks off their plates, often without close supervision. Writing code, identifying data trends and drafting communications are examples of what they believe AI can do on its own.
Areas considered to be higher-touch remain the purview of human beings, not surprisingly. Onboarding, training and data security should still be overseen by people, the thinking goes. But, Salesforce points out, that’s bound to change as people learn more and gain more experience with AI. The more familiar the technology becomes, the more people will trust it. In three or more years, 77% of workers will trust AI to operate autonomously, up from 10% today, Salesforce said.
Finding a Place for AI
Debates about AI’s role in this process or that cycle is heating up. Technology employers and candidates are trying to determine the extent to which chatbots can be used in coding interviews, for example On the one hand, some believe chatbots have become so common in the development process, it doesn’t make sense to remove them from hiring exercises. On the other, many managers believe it’s important to gauge how well candidates can operate armed only with their own mind.
On top of all this, many of the early assumptions CIOs made about AI are turning out to be somewhat complicated. For example, many expected chatbots work assistants to be a relatively straightforward way of incorporating AI into their company’s workflows. But sometimes getting answers to straightforward questions is more complex than anticipated. Asking for current sales figures becomes a minefield if the system is basing its answer on historical data rather than current information. At some companies, chatbots failed to correctly complete simple tasks like identifying corporate executives, reports The Wall Street Journal.
“I remain an AI optimist and am confident that we’ll get there,” one executive told the newspaper. “It’s just taking a little longer than perhaps we thought.”
Since many people are heading off to the beach, the mountains or just the back yard for July 4, WorkforceAI’s Daily Bulletin won’t publish this week.
Other News
Software Providers Struggle to Find a Business Model for AI
Software developers and SaaS providers have a long way to go before they make notable amounts of money from AI. Among other things, there’s few obvious business models for them to run with and no clarity on AI solutions’ value. [WorkforceAI]
Q&A: SAP’s Aaron Green on AI’s Growth and HR’s Role in Transformation
We revisit his predictions about where AI’s going, and how it can fundamentally change the way the businesses operate at almost every level. AI solutions are expensive and new, and what customers think about the money they’ve spent isn’t clear. Where’s it all lead? [WorkforceAI]
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Culture Amp Broadens Reach With New People Analytics
Culture Amp will launch a new AI-based analytics product on June 30, a follow-on to its March acquisition of Orgnostic. The product, called People Analytics, is integrated with Culture Amp’s platform and uses a company’s workforce data to help employers strengthen and maintain their employee experience. [WorkforceAI]
Podcast: Unily CEO Chris Ciauri on Using Technology to Nurture Experience
Our guest is Chris Ciauri, the CEO of Unily. We talk about employee experience, and a lot of its nooks and crannies. For instance, its link to customer experience and business results, and how organizations can use technology to help employees do their job and feel valued at the same time. That’s on this edition of PeopleTech. [WorkforceAI]
Employees See AI as a Positive for Their Jobs and Careers
Employees see a clear and widespread impact from AI. Most, 82%, expect generative AI to make them more efficient over the next 12 months. They also believe it will lead to higher salaries (49%), and create more opportunities to be creative at work (73%). At the same time, workers are keenly aware of the part AI plays in their own career development. [WorkforceAI]
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