Our results are generated using a large scale dynamic economic model of the global economy. The model is built on the Global Trade Analysis Project (GTAP) database. GTAP provides detail on the size of different economic sectors (57 in total) and how they trade with each other through their supply chains. It gives this detail on a consistent basis for 140 different countries.
When considering the results, there are two important factors that you should take into account:
These two factors mean that our results should be interpreted as the potential ‘size of the economic prize’ associated with AI, as opposed to direct estimates of future economic growth.
Our sector specialists worked with market participants and our partners at Fraunhofer to identify and evaluate use cases of AI across five criteria:
Specific scoring parameters were derived for each criterion, and scores range from 1-5 (1 being lowest impact, 5 being highest). The parameters were weighted to arrive at a total Potential AI Consumption Impact. We also evaluated technological feasibility, and other drivers and inhibitors of consumer uptake. The results helped us to gauge time to adoption, potential barriers and how they can be overcome.
Global X-LoS Data & Analytics Leader, PwC United States
Tel: +1 (617) 416 6089