If you start learning artificial intelligence skills now, you’ll be ahead of the curve when it becomes ubiquitous, says self-made millionaire Matt Higgins.
This episode features female entrepreneurs who are looking to promote their local economies as well as create more sustainable fashion options by creating fruit-based clothing.
All of us are at the beginning of a journey to understand generative AI’s power, reach, and capabilities. This research is the latest in our efforts to assess the impact of this new era of AI. It suggests that generative AI is poised to transform roles and boost performance across functions such as sales and marketing, customer operations, and software development. In the process, it could unlock trillions of dollars in value across sectors from banking to life sciences. The following sections share our initial findings.
For the full version of this report, download the PDF.
Generative AI’s impact on productivity could add trillions of dollars in value to the global economy. Our latest research estimates that generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across the 63 use cases we analyzed—by comparison, the United Kingdom’s entire GDP in 2021 was $3.1 trillion. This would increase the impact of all artificial intelligence by 15 to 40 percent. This estimate would roughly double if we include the impact of embedding generative AI into software that is currently used for other tasks beyond those use cases.
Generative AI’s potential to unleash creativity, accelerate discovery, and enhance efficiency could add trillions to Asian economies.
When it comes to the ability to generate, arrange, and analyze content, generative AI is a gamechanger—one with transformative social and economic potential.
As a technology that is democratized—one that doesn’t simply exist in a faraway lab or tech community in Silicon Valley, for instance—generative AI lowers the barriers to participation. In the age of generative AI, anyone can be a creator. But this also entails a profound workforce shift, changing the processes of production within the economy and, in turn, the types of tasks that are undertaken and the… More.
Developing The Low Earth Orbit Economy On The World’s First Commercial Space Station — David Zuniga, Senior Director, In-Space Solutions, Axiom Space
David Zuniga is Senior Director of In-Space Solutions at Axiom Space (https://www.axiomspace.com/), a space infrastructure developer headquartered in Houston, Texas, which plans human spaceflight for government-funded and commercial astronauts, engaging in in-space research, in-space manufacturing, and space exploration. The company aims to own and operate the world’s first commercial space station, and Mr. Zuniga helps to develop strategy and growth around Axiom’s Low Earth Orbit (LEO) economy, also playing a critical role in business and technical integration of Axiom’s in-space manufacturing and research capabilities for Axiom Station architecture.
Andreessen argues that thanks to A.I., “productivity growth throughout the economy will accelerate dramatically, driving economic growth, creation of new industries, creation of new jobs, and wage growth, and resulting in a new era of heightened material prosperity across the planet.”
This week, on the Lex Fridman Podcast, he offered advice to young people who want to stand out in what he describes in this “freeze-frame moment” with A.I.—where tools like ChatGPT and GPT-4 are suddenly available and “everybody is kind of staring at them wondering what to do.”
Ever since the release of OpenAI’s new chatbot ChatGPT in November, investors have been enamored with A.I. and its potential to revolutionize the world’s economy. Hopes for a future with increased productivity and lower costs as A.I. tools are rolled out to the masses have helped to lift markets in 2023 despite stubborn inflation, rising interest rates, and consistent recession predictions from economists. After dropping more than 30% in 2022, the tech-heavy Nasdaq Composite has recovered nearly all of its losses, gaining over 28% year to date, and the S&P 500 is now up more than 12%.
While some on Wall Street question whether stocks can continue their run of form in the second half of the year, pointing to stretched valuations in the Big Tech names and A.I. plays that have led the rebound so far, Wedbush’s top tech analyst Dan Ives argues it’s just the beginning of the “A.I. gold rush.”
“Many of the tech skeptics will point to today as a ‘1999 moment,’ à la on the verge of the dotcom bubble/collapse, given the significant move in tech valuations. We strongly disagree,” the veteran analyst wrote in a Monday research note. “While valuations in tech will be front and center, we continue to believe A.I. is driving the tech sector to a ‘1995 moment’ with a long runway of growth ahead that we have not seen since the 1990s.”
Using ChatGPT can put you on the path to becoming a millionaire, according to a YouTube video from personal finance expert Jaspreet Singh.
Cotton is the primary source of natural fiber on Earth, yet only four of 50 known species are suitable for textile production. Computer scientists at DePaul University applied a bioinformatics workflow to reconstruct one of the most complete genomes of a top cotton species, African domesticated Gossypium herbaceum cultivar Wagad. Experts say the results give scientists a more complete picture of how wild cotton was domesticated over time and may help to strengthen and protect the crop for farmers in the U.S., Africa and beyond.
The findings are published in the journal G3 Genes|Genomes|Genetics. Thiru Ramaraj, assistant professor of computer science in DePaul’s Jarvis College of Computing and Digital Media, is lead author on the publication. Leaps in technological advancement in the past decade made it possible for Ramaraj to analyze the genome in his Chicago lab.
“The power of this technology is it allows us to create high-quality genomes that supply a level of detail that simply wasn’t possible before,” says Ramaraj, who specializes in bioinformatics. “This opens up the possibility for more researchers to sequence many crops that are important to the global economy and to feeding the population.”
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