Artificial Intelligence has been dominating the media and investment landscape for months as tools such as ChatGPT introduce AI’s capabilities to the general public. The press coverage ranges from the apocalyptic (“end of the world”) to the messianic (a coming productivity and innovation miracle which will save the world). Capital has certainly been flowing to AI, with private investment estimated at approximately $120bn last year, with the US accounting for about two thirds of the total, while Nvidia and other listed companies have dominated the performance of leading public market indices.
However, when one meets with corporates or reads most of the press, what is striking is the lack of precision in the discussion. AI is commonly referred to in generic terms, despite it being both multi-faceted and at various stages of development, depending upon which facet one is referring to. This is normal for an emergent technology but to understand the potential ramifications much more granularity is required.
As a starting point, it is helpful to spend some time with people who are at the leading edge of recent developments and try to explore some of the obvious questions with them. In 2022 a team from Glasgow University won the prestigious Amazon Alexa Prize Taskbot Challenge and have since recently launched Malted AI, a new company that aims to develop AI for the corporate sector, in which I have invested. Follow this link to read my Q and A with them about the potential and challenges of this exciting but not clearly understood technology.