Generative Artificial Intelligence Skills Gap


It has been a year since the debut of ChatGPT, the artificial intelligence (AI) model that took the world by storm. Since then, other AI models have emerged, and AI headlines have dominated the news all over the world. AI is not going away anytime soon, if ever, so where are we in the adoption process? With a year under our belts, generative AI technology is still mostly in an experimental stage, with limited exceptions.

There is a skills gap with AI, the gap between being able to do something and being able to do it well enough for a specific purpose.

AI is used in various industries, and the sophistication level with AI varies. Generative AI has been deployed widely in writing computer code. Microsoft has stated on several occasions that half of the programming was written using assistance from their AI tool, Copilot, that automatically suggests lines of code.

Developers have a serious advantage when it comes to AI because they know code and can correct and write anything they need the AI model to do. Other industries do not have that advantage and will be behind in the learning curve. But that is ok. Every industry should move at the pace that is safest. Companies should move slowly and deliberately when integrating the technology into uses where accuracy matters.

The government recently passed some new AI regulations, and we will continue to see more building out of this technology, guidelines, and frameworks to protect against fraudulent and stupid actions.

Did you know that 2W Tech is doing some cool things with AI both internally and for our clients? We are excited for what the future of AI holds and the direction it can take our business, and those of our clients. Give us a call today to learn more.

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