Businesses are increasingly adopting AI to enhance their operations, reflecting their technological maturity and strategic objectives. The integration of AI ranges widely from startups to large enterprises. Practical applications include improving customer satisfaction scores, increasing retail basket conversions, and ensuring proper planning in public sectors. Two contrasting viewpoints on workforce implications arise, one suggesting organizations can achieve more with fewer resources, while the other foresees continued hiring trends for skilled professionals adept at utilizing these AI tools daily.
So, I often say to clients, and it sounds a little cliche, yes, it's about use cases but it's about a use case with a business case. And that business case could be changing NPS scores, it could be around basket conversion if you're a retailer, it could be around citizenship, if you're in the public sector, and planning documents like I referenced earlier.
There's sort of two schools of thought, which is, everything looks leaner going forward, everyone's a 10x, I can be a 10x go to market leader, I can be a 10x engineer. So we don't need more of me, because I'm doing 10 more. So I think that's one school of thought, but I still think people are going to continue hiring.
I mean, obviously at an engineering level and developers, you're looking for very strong backgrounds and engineering development, but also people that have used and use a lot of these tools on a day to day basis.
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