State of AI

More expensive models, superhuman performance, growing impacts on society — an extensive report takes stock of developments in machine learning over the past year. 

Generative AI could add between $2.6 trillion and $4.4 trillion to the global economy annually (roughly 2 percent to 4 percent of the world’s combined gross domestic product this year), according to a new report.

Stanford’s sixth annual AI Index takes stock of a rapidly growing field. The sprawling, 386-page report from the Institute for Human-Centered AI presents the past year’s developments in AI based on a wide variety of sources including benchmarks, papers, market research, job listings, and polls.

Adults in the United States tend to view AI’s medical applications favorably but are leery of text and image generation. Pew Research Center polled 11,004 U.S. adults for their opinions of AI in science, healthcare, and media.

2022 was a big year for AI-driven upstarts and scientific discovery, according to a new survey. The fifth annual State of AI Report details the biggest breakthroughs, business impacts, social trends, and safety concerns.

Worries that automation is stealing jobs may have been greatly exaggerated. A U.S. government report found that employment has increased in many occupations that may be threatened by automation.

In a new report, business leaders share their machine-learning successes and struggles. Many businesses plan to increase their use of machine learning, but their efforts so far don’t always yield the results they seek.

Venture investors are tapping the brakes on AI amid rising economic uncertainty. In their latest report, market research firm PitchBook documents a sharp reduction in investment in AI startups in the first half of 2022, a time of rising inflation and interest rates.

A survey of data scientists reveals a field of great opportunities but also room for improvement. The 2022 “State of Data Science” report from Anaconda, maker of a popular Python distribution, surveyed 3,493 students, teachers, and employees.

Pharmaceutical companies in several countries are hiring machine learning engineers at increasing rates.

A website that aggregates AI jobs revealed the roles that are most in-demand. Ai-jobs.net published its second annual list of the job titles that appeared most frequently in its listings.

The future of Big AI may lie with product-development teams. Meta reorganized its AI division. Henceforth, AI teams will report to departments that develop key products.

AI startups are creating high value across a wide variety of industries. CB Insights, which tracks tech startups, published the latest edition of the AI 100, its annual list of 100 notable AI startups.

Hiring managers are struggling to find machine learning engineers amid an ongoing, global talent shortage, Business Insider reported. Some employers are going the extra mile to distinguish themselves from competitors in the eyes of potential employees.

China is poised to become the dominant national power in AI, new research suggests. The Brookings Institution, a nonprofit public-policy think tank, assessed which of 50 countries are best positioned to become AI powerhouses.