Make it better with AI! It’s offered in practically every type of software, platform or program, but how many people are really using it? Companies seem to be taking the approach of incorporating GenAI into their product offerings but the question is: do enough professionals genuinely believe that AI can make it better to continue to drive adoption?
GenAI launched with a great amount of fanfare. People that previously couldn’t string a sentence together were amazed at how they could get a whole article written in minutes. For people with zero design experience, it became quick and easy to create a graphic or edit an image. GenAI offers all of that, but a year or so down the line and some think that the shine is starting to fade.
Fast, Accurate or Safe – Pick One
Speed of delivery is a great advantage, but people are recognizing that GenAI can’t always be relied on for accuracy. As a result, a fair amount of editing and fact checking is required. Is this cutting into the time and cost efficiency benefits promoted by GenAI?
Accuracy is not the only bump in the road to greater adoption. Security is a major concern, especially with little consensus on how AI should be managed or it’s use regulated. Many companies have blocked or limited employees using GenAI for work related tasks. With so many unknowns on who owns or can access AI generated content, companies are weary of being caught out, losing IP or risking exposure.
But perhaps one of the biggest gripes is the generic style of GenAI. It produces based on what it already knows, repeating the same content without offering anything new. It often lacks context, misses the nuance of culture and language and is frequently limited by bias. These are not insignificant factors.
Will GenAI Get Better?
Despite these risk and concerns, the use cases of GenAI keep expanding. The general thought is that because it’s constantly learning, it’ll get better, and this will continue to drive adoption. The challenge is: will it really get that much better at the speed at which it is being rolled out?
As more people and companies start using GenAI there’s always the question of whether it’s delivering a genuine competitive advantage? Driven by the “adopt or become a dinosaur” way of thinking, even the most cautious are looking for ways that they can use GenAI to their advantage – which means adoption may get ahead of improvements.
History has shown that it’s not always the biggest or the best that wins market share, but rather it’s the companies that do just enough, quickly enough to convince others to adopt what they’re offering. Perhaps the tide is already turning. Improvements may remain subjective, but there are indications that companies will start to lessen restrictions on the use of GenAI.
Will this drive adoption up to the 90% that’s been predicted? And more curiously will that depend on GenAI getting better?
