Future of AI: New tech will create ‘digital humans,’ could use more energy than all working people by 2025
Experts have predicted that artificial intelligence will be able to create superior "digital humans" and could expand more energy than the entire global workforce by 2025.
Brian Comiskey, the Director of Thematic Programs at the Consumer Technology Association, shared that their trade association has established an artificial intelligence working group to manage this emerging technology.
Given his experience in subject indexing, Comiskey remarked that the financial sector is becoming more focused on "responsible AI," which has become an urgent theme and a priority for leaders in numerous fields.
Experts have predicted that artificial intelligence will be able to create superior "digital humans" and could consume more energy than the entire global workforce by 2025.
Brian Comiskey, who is the Director of Thematic Programs at the Consumer Technology Association, shared that their trade association has established an artificial intelligence working group to manage this emerging technology.
Given his experience in thematic indexing, Comiskey remarked that the financial sector is becoming more focused on "responsible AI," which has become a prominent term and a priority for leaders in numerous fields.
Gartner's research for their 2023 strategic predictions reveals that by 2025, without sustainable AI practices, the energy consumption of AI will surpass that of the human workforce. This growth can be attributed to the increasing AI support to automate human activities, along with the high demand for cloud data centres to train and execute machine learning (ML) models. However, emerging practices aim to significantly reduce energy consumption for ML. It is important to note that while AI may consume a significant amount of energy, the benefits it provides can rearrange its environmental footprint.
This potential can only be realised if AI is utilised effectively and proactively in various processes, organisations and companies. According to Brian Comiskey, this statement reinforces the rising emphasis on the environment and established standards. Clients, particularly overseas, are not only interested in standardising technology but also inquiring about financial investment options that encourage companies to invest in innovation whilst meeting ethical, environmental and other environmental, social and governance (ESG) obligations.
Comiskey stressed the importance of investing in innovation within their field. However, it is imperative to consider incorporating a sense of responsibility in building technology at an appropriate pace in terms of ethical and environmental impact, as well as other ESG concerns.
Brian Comiskey predicts that companies will prioritise the recruitment of individuals who can effectively communicate not only with AI but also with those outside the technical field, highlighting the benefits and challenges of AI. According to a recent AI index report by Stanford University, only 2% of all job postings are related to AI and machine learning.
Comiskey suggests that companies will need to hire a considerable number of professionals to integrate AI technology, including experts in areas such as natural language processing, robotics and AI-driven search mechanisms.
AI Catalog's chief editor
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