AI Anxiety: How These 20 Jobs Will Be Transformed By Generative Artificial Intelligence

The global study documents notable differences in the effects on countries at different levels of development which are linked to current economic structures and existing technological gaps. According to the study, 5.5% of total employment in high-income countries are potentially exposed to the automating effects of the technology, whereas in low-income countries, the risk of automation concerns only some 0.4% of employment. Product designers can take advantage of generative design applications that automate the creation of design documents, blueprints, and prototypes by analyzing information such as material specifications and customer requirements. Then, it can automatically create instructions for 3D-printed prototypes or machining tools to go from natural-language input to prototype or even finished products. ChatGPT and large language models like GPT-4 can be used to build chatbots that answer customer inquiries, create transcripts of calls and summaries of interactions, giving an instant overview of issues that are important or are causing problems for customers. It can provide automated and personalized responses and offer support in many different languages.

That’s because AI is able to read, write, and understand text-based data well, she added. This position will require an excellent working knowledge of databases, data integration, and how AI systems ingest data for training. This role also needs to understand data curation, quality, security, and governance. I suspect that most AI data engineers will come from the data operations side of things, not the AI side. Accordingly, clerical work is the category with the greatest technological exposure, with nearly a quarter of tasks considered highly exposed and more than half of tasks having medium-level exposure.

Deep Learning Researcher – Voice AI

We asked three experts closely watching AI deployment in the work world for their views on how professionals roles from the C-suite down through middle management and service will be altered by the technology. Will placing Microsoft Office Suite products on your resume be a thing of the past if CoPilot will handle all the heavy calculations for us mere humans? I thought long and hard about this list because the limitless possibilities of all jobs being affected by mature generative AI tools can disrupt how we walk up in the morning to start our days.

Their insight and experience could be invaluable in such areas as self-service, automated response, and personalization. Leaders of customer service organizations will need to create pathways or processes for CSRs to provide their input. Now, you may ask why women in particular face the risks of automation in this magnitude. The majority of the women-held positions that face automation risks are clerical in nature. This is because, for most high-income and upper-middle-income countries, the major source of women empowerment and employment has been in the form of clerical jobs.

• I think the biggest revelation of this study lies in the fact that this AI transition is highly gendered in nature.
• In the era of AI, effectively navigating the job market demands a shift in mindset regarding the essential skills required for task completion.
• As CSRs simultaneously use the system and evaluate its performance, their internal radar must always be on.
• According to the study, 5.5% of total employment in high-income countries are potentially exposed to the automating effects of the technology, whereas in low-income countries, the risk of automation concerns only some 0.4% of employment.
• Image-based generative AI can create simulated medical imagery such as X-rays, and CT scans to assist with the training of medical image recognition systems.
• Generative AI can help interior designers to visualize the way that they will transform spaces by analyzing inputs such as room dimensions, client preferences, and functional requirements.

Their focus is more on data operations, but understanding how AI systems work, including training data, is essential. Companies will need trained, experienced cloud architects who understand how AI systems work and play well with existing cloud-based systems. The unprecedented changes brought about by artificial intelligence in the job market are certainly expected to displace several job roles. However, like other technologies in the past, a balanced perspective on change can help smoothen the transition.

Software Engineer, Generative AI

Despite concerns about job displacement, generative-AI technology has the potential to create new job opportunities. As industries adopt AI-driven solutions, there arises a demand for skilled workers to develop, maintain, and optimize these systems. Jobs in data science, AI ethics, and human-AI interaction are some examples of emerging roles that cater to the growing AI landscape. Generative-AI technology has demonstrated its transformative potential across multiple domains. From natural language processing to content creation, AI-powered systems like ChatGPT have streamlined processes, saving time and effort for workers. With the ability to generate human-like text, these AI tools have become indispensable for content writers, marketers, and customer support professionals.

Indeed’s data showed that searches for generative AI jobs jumped to 147 per million total jobs searched in May from virtually zero a year earlier. Overall, tech jobs are down 43.6% in the United States from June last year, Indeed said, adding the number of available AI jobs was not keeping up with the interest from job seekers. If a career in AI sounds right for you, you can start building your skills with the courses below. “We’re not going to get it all right on the first go round, because there are going to be risks that we might not be able to predict,” Palmer said.

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Yakov Livshits
Founder of the DevEducation project
A prolific businessman and investor, and the founder of several large companies in Israel, the USA and the UAE, Yakov’s corporation comprises over 2,000 employees all over the world. He graduated from the University of Oxford in the UK and Technion in Israel, before moving on to study complex systems science at NECSI in the USA. Yakov has a Masters in Software Development.

But one thing Apple is confident about is the fact that it wants to bring more generative AI talent into its business. Generative AI can be used to create misleading or discriminatory content and it is important to establish standards to ensure that generative AI is used responsibly Yakov Livshits and ethically. The field of robotics is growing rapidly, and generative AI can be a valuable asset in its advancement. Engineers specializing in robotics will have the responsibility of designing and constructing robots capable of intelligent interaction with humans.

In 2023, the report predicts, generative AI will cause 9.3 percent of jobs lost to automation, rising to 30.4 percent by 2030. Generative AI will replace 2.4 million US jobs by 2030, and influence another eleven million, but other forms of automation will cost more jobs, according to a report from analyst firm Forrester. Meanwhile, other occupational groups  which include managers, professionals and technicians have only a small share of tasks to be highly exposed, while about a quarter have medium exposure levels to the technology.

Apple Store

Other industries where jobs are occupied mostly by women that are expected to be impacted by the adoption of AI include healthcare (76 per cent) and education (73 per cent) and community and social services (67 per cent). NVIDIA, a leading technology company, is searching for an experienced senior research scientist with expertise in generative AI. This role involves leading research in various applications of generative AI, such as generating images, videos, 3D models, and audio. The ideal candidate should have a Ph.D. in computer science or related fields, as well as over five years of relevant research experience. NVIDIA offers a competitive base salary ranging from $180,000 to $414,000 per year. Scale AI, a San Francisco startup that achieved a $7 billion valuation in the AI industry, is looking to hire a software engineer specializing in generative AI.

At Scale, our Generative AI Data Engine powers the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Job losses from generative AI are expected to be modest over the next couple of years as issues surrounding the tools are addressed, such as intellectual property rights, copyright claims, and plagiarism. Using all the knowledge acquired by being exposed to AI, workers should strive to “pick it up, adopt it, learn how to use it well, and then set themselves apart,” McNeilly argues. Despite men outnumbering women in the workforce, the research shows that generative AI is expected to put more women at risk of losing their jobs than men.

AI lacks creativity because, as previously said, AI can only work with the data it gets. For instance, the famous ChatGPT has a cut-off point for its knowledge base, which is currently the end of 2021. When asked something about a more recent event, it might not have the information or the capability. AI trainers will be responsible for teaching AIs how to respond to different stimuli. Even in fields such as programming or graphic design, generative AI is catching on. “There has been a notable increase in job seeker interest in AI-related jobs, especially since the introduction of ChatGPT,” said Nick Bunker, director of economic research at Indeed.

AI Prompter, AI Wishper, and AI Prompt Engineer are the job roles recently launched in 2023 that are buzzing over the internet. In the era of AI, effectively navigating the job market demands a shift in mindset regarding the essential skills required for task completion. While generative AI has the potential to suppress or partially automate various jobs, it also offers huge opportunities for job creation. According to new research, a disproportionate number of jobs held by women are at risk of automation due to the emergence of generative AI.

Amesite recently launched a free course on Generative AI and ChatGPT – the latest AI technology to take the world by storm. Amesite’s platform is integrated with GPT-3, the technology that powers ChatGPT, so you will learn about the technology while using it. The openings are in teams that include Integrated System Experience, Input Experience NLP, Machine Learning R&D and the Technology Development Group located across San Diego, the Bay Area and Seattle. But more third-party apps are bringing in generative AI elements — it was only yesterday that OpenAI released its own ChatGPT iOS app — and Apple is reportedly working on its own generative AI products, according to the WSJ. Hiring more generative AI experts could well be in aid of serving either, or both, of those ends. Apple, like a number of companies right now, may be grappling with what role the newest advances in AI are playing, and should play, in its business.

Adevinta is on the lookout for a top-notch Staff Data Engineer to join the team and make a global impact in an exciting and dynamic environment. You will build and run production-grade data and machine learning pipelines and products at scale in an agile setup. You will work closely with data scientists, engineers, architects, and product managers to create the technology that generates and transforms data into applications, insights, and experiences for users. You should be familiar with privacy regulation, be an ambassador of privacy by design, and actively participate in department-wide, cross-functional tech initiatives. The sentiment around hiring and the surge of activity from companies interested in gen AI are strong early indications that businesses are paying significant attention to the opportunities the fast-evolving technology can provide, according to Upwork. Companies are shifting their focus from singular gen AI tools toward applications and services, including AI content creation, Azure OpenAI, and prompt engineering.