The H-1B visa program was intended to bring in specialized talent from abroad, but instead it has become a tool for employers to hire lower-cost labor for ordinary jobs. The result is a distorted job market, where highly skilled workers are being squeezed out of the H-1B visa program by spam applications for ordinary workers who then take entry-level positions that are already in short supply. This misuse of H-1B visas has a negative synergy with growing impact of AI on the job market and is part of a larger problem that urgently needs attention. The impact of this visa-farming problem is particularly acute among young people and recent college graduates, who face a bleak job market despite moderate overall unemployment rates. According to government data, the ratio of unemployment for college grads under 25 to those over 25 has hit an all-time high of more than four to one.

If ChatGPT and generative AI live up to even a tenth of the hype surrounding them, wide-scale job losses might seem inevitable. But new economic data shows that the last big leap in AI did not coincide with a reduction of jobs in affected industries--despite widespread fears of rapid replacement at the time. In a new research paper, economists looked at the job market across a number of European countries between 2011 and 2019. That's the period during which the AI technique deep learning emerged as a powerful way to automate tasks like transcribing speech, analyzing images, and making algorithmic recommendations for social feeds and ecommerce sites. Back then, deep learning was widely expected to have a broad and swift impact on employment.

ChatGPT is another large language model (LLM) inline but due to its performance and ability to converse effectively, it has gained a huge popularity amongst research as well as industrial community. Recently, many studies have been published to show the effectiveness, efficiency, integration, and sentiments of chatGPT and other LLMs. In contrast, this study focuses on the important aspects that are mostly overlooked, i.e. sustainability, privacy, digital divide, and ethics and suggests that not only chatGPT but every subsequent entry in the category of conversational bots should undergo Sustainability, PrivAcy, Digital divide, and Ethics (SPADE) evaluation. This paper discusses in detail about the issues and concerns raised over chatGPT in line with aforementioned characteristics. We support our hypothesis by some preliminary data collection and visualizations along with hypothesized facts. We also suggest mitigations and recommendations for each of the concerns. Furthermore, we also suggest some policies and recommendations for AI policy act, if designed by the governments.

Artificial intelligence (AI) is a rapidly developing field that has the potential to revolutionize many aspects of our lives, especially the way we work. One question that has garnered a lot of attention is whether AI will eventually replace human jobs. There is no doubt that AI has the potential to automate certain tasks, and in some cases, it has already begun to do so. For example, AI algorithms can analyze data faster and more accurately than humans, making them well-suited for tasks such as data entry and analysis. In industries such as manufacturing and transportation, robots and automation have already replaced many jobs that were previously done by humans.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! There definitely have been easier years than 2022 for trying to start a business. Compared to larger firms, smaller companies have a harder time absorbing shocks like inflation changes, supply chain disruptions, and changing demographics in the workplace. We see evidence that investors are starting to prefer to see proof of profits, rather than growth, an anathema to the startup founders of only a few years ago.

COVID's impact on jobs and the economy has been profound and, quite honestly, confusing. On the one hand, stories of people who have lost their jobs due to the pandemic – and are now starting to lose government benefits and eviction protection – have become both commonplace and gut-wrenching. At the same time, there are signs and postings everywhere desperately looking to hire people, from large companies to small-town restaurants. Short-staffed organizations are being forced to delay orders, adjust their hours of operation, and make many other uncomfortable changes to keep their businesses alive. While there is no simple reason these often-conflicting trends are occurring simultaneously, one undeniable fact is that we're witnessing a significant and rapid-paced shift in the jobs environment.

Although Artificial Intelligence (AI) has existed for more than sixty years, today, thanks to greater computing power, as well as the availability of large amounts of data and more sophisticated algorithms, the applications of this field of computing have proliferated considerably and have had a direct impact on the workplace . The need to meet the demand for products and services that integrate this technology has forced companies to recruit qualified professionals and experts in this field . That is why many companies are currently looking to fill positions related to Artificial Intelligence and Machine Learning programming, as well as Data Scientists . According to the latest report from the World Economic Forum, Jobs of Tomorrow: Mapping Opportunity in the New Economy (2020), by 2022 133 million new jobs will be created worldwide, of which 16% will be within of the Data and Artificial Intelligence sector . According to the latest analysis by the Federal Institute of Telecommunications, published in January 2020, the Internet is the most used Information and Communication Technology (ICT) in Mexico, since 66 out of 100 people aged 6 years and over use it; which accounts for the importance of this network in the lives of Mexicans.

It's not an easy time to be in the automotive manufacturing business. A global pandemic has upended supply chains and wreaked havoc on auto sales in general. In parallel, automotive factories are increasingly connected through Industry 4.0 – the melding of the physical and digital worlds – and solutions such as robotics, remote sensors and digital control systems, which produce seemingly unending (and overwhelming) new streams of data to be processed and interpreted. But – pandemic notwithstanding – perhaps no challenge is more pressing than the skilled labour shortage in the Canadian automotive sector. As the baby boomer workforce retires, it's getting more and more difficult for manufacturers to find experienced workers with the technical craftsmanship, which is difficult to teach and transfer, to replace their predecessors and build vehicles with increasingly integrated computer technology.

For many ASEAN nations, manufacturing takes up a sizable chunk of the national GDP. For example, manufacturing in Singapore contributed 20.9 percent of Singapore's GDP in 2019, according to the department of statistics Singapore. Successful companies readily acknowledge one key factor contributing to their achievements – hardworking, committed and skilled employees who are the foundation of the companies. However, manufacturers today face the primary challenge of filling open positions with skilled workers, which in turn affects overall productivity and growth. In addition to the human capital challenge, manufacturers are facing immense costs associated with workplace injuries.

The present skills gap in the US is jeopardizing the country's long-term growth. Disruption has exploded the job demand; skill levels are constantly shooting up and the workforce doesn't have sufficient workers to fill in. In Dec 2018, 7million jobs were available for 6.3 million job seekers. While the country is almost bordering on full employment, its growth is muzzled in a time when it could have scooted in its fullest fury. Panorama on the global stage is equally grim.