New discoveries and developments are produced every day in the area of artificial intelligence (AI). It is essential to examine the most recent artificial intelligence statistics and data in order to comprehend the present status of the field and its trajectory as we continue to push the limits of what can be achieved with AI. In this piece, we’ll take a look at the latest AI data in terms of financing, employment growth, and market effect.

The amount of money being put into artificial intelligence is one of the most eye-catching trends in the industry. The National Science Foundation reports that $26 billion was invested in AI worldwide in 2018, and that number is expected to rise to $190 billion by 2025. The advancement of new technologies and the expansion of the artificial intelligence business are both being driven by the substantial rise in financing.

The rise in available positions in the area of AI is another noteworthy fact. There has been a 74% increase in job posts for AI-related professions since 2013, according to data from Indeed Hiring Lab. The World Economic Forum predicts that by 2022, AI will generate 2.3 million new employment, and this growth tendency will continue.

The advantages of AI are not, however, limited to the IT sector alone. AI is also being used in industries like healthcare and retail to boost productivity and expand their businesses. Artificial intelligence (AI) is being utilized, for instance, in the healthcare industry to improve patient outcomes while simultaneously cutting expenses. Accenture predicts that artificial intelligence would save the US healthcare sector $150 billion annually by 2026. In a similar vein, artificial intelligence (AI) is being used by the retail sector to enhance the shopping experience and boost revenue. The National Retail Federation conducted a research which revealed that stores using AI witnessed an increase of 6-10% in sales.

Despite AI’s obvious advantages, others worry about its potential negative effects on the economy and the human condition. The enormous number of occupations that might be automated is only one indicator of this widespread fear. McKinsey Global Institute estimates that by 2030, as many as 800 million occupations might be at danger of being automated. It’s worth noting, however, that new, higher-skilled occupations requiring human-machine cooperation are likely to emerge in their place.

The potential for gender and racial prejudice in AI is another fact that has some worried about the future of our civilization. Research conducted by the AI Now Institute found that persons of African descent are disproportionately impacted by prejudice in face recognition software. In a similar vein, the World Economic Forum revealed that just 22% of AI experts are women. In light of these numbers, it is clear that tackling prejudice throughout the creation and implementation of AI is crucial.

In conclusion, AI is a fast developing discipline with ever-increasing amounts of data and statistics. Understanding the present status and future direction of this intriguing area requires a deeper look at the most recent data as we continue to make gains in it. From funding and job growth to industry impact and concerns, the statistics on AI offer valuable insights into the future of this revolutionary technology.