A recent Wall Street Journal article asked for input on four related AI areas: tools, tech, doom, and jobs. It almost felt like a SWOT analysis. Hence, my inspiration. Until about a year ago, many AI articles were about opportunities. Today, it’s mostly about threats. How about strengths and weaknesses?
Please find below my initial analysis. I have already noticed that the completeness of my diagram will be work-in-progress. Hence, updates are likely.
The most surprising AI fact above is about its excessive energy consumption. Example at Google: ” .. artificial intelligence made up 10 to 15% of the company’s total electricity consumption….” (Bloomberg, 9 March 2023). Also see Penn Today: The hidden costs of AI: Impending energy and resource strain.
The many fear-related AI doom messages will not change its course: it’s here to stay. AI preludes on a global population decline. The evidence is already visible: despite a high inflation and an economic recession, job openings are high. Western demographics are inadequate to staff their economies.
The various phases of the human technological revolution:
- before 1800: tools
- 1800-1900: mechanization
- 1900-2000: automation
- 2000-2100: artificial intelligence and robotics.
To quote spiritual teacher Eckhart Tolle: “Most people’s lives are run by desire and fear. Desire is the need to add something to yourself in order to be yourself more fully. All fear is the fear of losing something and thereby becoming diminished and being less. These two movements obscure the fact that Being cannot be given or taken away. Being in its fullness is already within you, Now.” Note: markings by LO.
“The enormous cost of running today’s large language models, which underpin tools like ChatGPT and Bard, is limiting their quality and threatening to throttle the global AI boom they’ve sparked.Quotes from a 2023 article in the Washington Post by Will Oremus, a technology news analysis writer
Their expense, and the limited availability of the computer chips they require, are also constraining which companies can afford to run them and pressuring even the world’s richest companies to turn chatbots into moneymakers sooner than they may be ready to.”
Note: all markings (bold, italic, underlining) by LO unless in quotes or stated otherwise.