According to a Reuters/Ipsos poll, 28% of US workers are using ChatGPT for basic tasks, while only 22% said their employers explicitly allowed such external tools. Yet, we are implementing or considering bans on ChatGPT and other Generative AI applications within the workplace due to data security, privacy, and corporate reputation concerns. The majority also recognizes the potential benefits of Generative AI applications in increasing efficiency, innovation, and creativity.
A study by Pew Research Center analyzed federal data to determine which industries are most likely to be impacted by AI. Industries with high exposure include budget analysts, data entry keepers, tax preparers, technical writers, and web developers, while those with low exposure include barbers, childcare workers, dishwashers, firefighters, and pipelayers. Interestingly, workers in highly exposed industries do not feel that their jobs are at risk, with 32% of workers in information and technology saying that AI would help them more than hurt them.
A study commissioned by Lucidworks found that the US is slightly below the global average in generative AI spending, with 92% of US companies planning to increase spending in the next 12 months. All Chinese companies surveyed and 98% of companies in India plan to invest in the technology. Companies in the entertainment, technology, and consumer products industries are frontrunners in plans to increase generative AI spending, while professional services, government, hospitality, and tourism are lagging in adopting generative AI.
Microsoft has added new rules and restrictions for AI services in its Terms of Service, which will go into effect on September 30. The changes include limits on data use, restrictions on reverse engineering and extracting data, and more. This comes as other companies like Zoom and The New York Times are also updating their Terms of Service related to AI and data use.
Microsoft has integrated its Copilot AI assistant into its field services platform, Dynamics 365, to help streamline workflows for frontline field workers. Copilot will pre-populate service requests, recommend specific workers based on availability and skill set, and allow technicians to update their work status and create recaps of service for managers. Adding generative AI to fieldwork is expected to help frontline workers work faster and smarter, but it raises concerns about worker surveillance.
Why do we care?
Market analysis. Where is AI being planned? Entertainment, technology, and consumer products, aka top targets. Where is disruption possible? Budget analysts, data entry keepers, tax preparers, technical writers, and web developers. These are conversation starters. What are the key objections? Data security, privacy, and corporate reputation concerns. What’s a key offering? Terms of Service reviews.
That’s the value we’re looking for – how to leverage this into what customers are concerned about or interested in.