“When AI is mentioned, it tends to lower emotional trust, which in turn decreases purchase intentions.”
An interesting finding, this – especially as it transcends product and service categories – though perhaps to be expected at this stage of the GenAI hype cycle.
This kind of scepticism isn’t easy to overcome – with new technologies acceptance and mass adoption is often a matter of time – but as the authors of the study point out, the key issue to address is the lack of trust in AI as a technology.
Some of this lack of trust is due to lack of familiarity – natural language GenAI seems intuitive, but actually takes a lot of practice to get decent results.
Some will be due to the opposite – follow the likes of Gary Marcus, and it’s hard not to get sceptical about the sustainability, benefits, and reliability of the current approach to GenAI.
The danger, though, is that this scepticism may be spreading to AI as a whole. The prominence of GenAI in the current AI discourse is leading to different types of artificial intelligence becoming conflated in the popular imagination – even though, just a few years ago, the form of machine learning we now call GenAI wouldn’t even have been classified as artificial intelligence.
Tech terms can rapidly become toxic – think “web3”, “NFT”, and “metaverse”. Could GenAI be starting to experience a similar branding problem? And could this damage perception of other kinds of AI in the process?
