Artificial Intelligence Statistics

I recently explored the question of whether computer-generated writing could ever replace the human kind. I recently came across some interesting statistics on Artificial Intelligence (AI), courtesy of Kommando Tech.

Current AI technology can be roughly divided into “weak” and “strong” AI. A perfect example of weak AI can be found in your living room in the form of smart speakers. Siri, Echo, and Alexa all have programmed responses to certain demands.

Strong AI, on the other hand, is the most important and interesting artificial intelligence technology today. Strong AI is the kind of AI featured in sci-fi movies. It mimics the human cognitive process. While strong AI has a long way to go before we see widespread use, there’s no doubt that it will profoundly change our lives once it passes the prototype stage.

Key artificial intelligence facts

Chatbots are expected to cut business costs by $8 billion. They will be responsible for 85% of customer service by the end of 2020. More than 10,000 developers now work on building chatbots for Facebook Messenger. The worldwide chatbot market is expected to reach $1.25 billion by 2025.
About 15% of surveyed companies use AI, primarily for improving customer experience.
Global revenues from AI enterprise applications are expected to rise from $1.62 billion in 2018 to $31.2 billion in 2025.
Google’s deep learning prediction algorithm correctly diagnoses suspected tumors 89% of the time by analyzing medical heatmaps. For comparison’s sake, a team of expert pathologists gave a correct diagnosis only 73% of the time. The healthcare AI global market size is expected to reach $17.8 billion by 2025.
AI-powered autonomous vehicles could save 300,000 lives per decade.

Will robots replace workers?

This is the key question, as far as I’m concerned. Here are the projections:

40% of attendees at AI World say AI will force their companies to add more jobs.
By the end of 2020, AI will take over 1.8 million jobs, but it will generate 2.3 million more. By 2022, AI will have taken over 75 million jobs, while creating another 133 million.
The three most desired AI skills on Monster.com are machine learning, deep learning, and natural language processing. The median salary for senior computer scientists and managers in machine learning is more than $127,000. The average machine learning engineer salary in the US is $169,930. The average deep learning engineer salary ranges from approximately $80,887 per year for a research scientist to $138,647 per year for senior positions.
However, AI will take over 38% of factory jobs in the US by 2030. This means a cut in factory jobs by the same amount – if not more. These are all skilled workers. While more jobs will be created by AI, I’m still worried as to where these people will find work and if they can be retrained to take advantage of the AI revolution (both seem unlikely to me).
As for higher-skilled workers, including writing and marketing services, eMarketer AI and translation localization statistics show that 41% of professional linguists believe that artificial intelligence growth will mean less employment for them. However, 34% think they’ll still have work, but with higher standards. On the other hand, 19% of linguists believe they’ll have more work than ever despite AI, and 16% of them think AI won’t influence their careers in any way.