2023 has been the year of AI, thanks to the release of ChatGPT. This large language tool has created new jobs that didn’t exist a year ago and that you can’t get a qualification for.
These sudden changes pose a challenge for hiring managers, who now have to figure out how to recruit for these new positions.
To navigate this evolving job market and identify the right talent for these roles, organizations need to think innovatively and adapt to rapidly changing trends.
In this article, we’ll explore the new professions that are emerging as a result of AI. We’ll also look at which skills are essential for these roles and how talent assessments provide a fairer, more accurate way of recruiting for them than traditional methods like relying on resumes, qualifications, or experience.
Additionally, we’ll examine how skills-based hiring can benefit underrepresented groups and those living in digital poverty by leveling the playing field when it comes to accessing the opportunities presented by new digital roles.
AI language models like ChatGPT have revolutionized human-machine interactions with their uncanny ability to understand and generate human-like text, creating speculation that a shakeup in the world of work is heading our way.
A 2023 study published by Goldman Sachs predicts a major disruption in the workforce – specifically, the loss of 300 million full-time jobs to automation.
However, the same report predicts an annual US productivity increase of nearly 1.5% over the next decade as a result of the mass implementation of AI tools. Additionally, the economic impact could be substantial, with AI potentially increasing annual global GDP by 7%.
If it lives up to expectations, the potential of generative AI is immense, and its influence will extend across various sectors. Understandably, though, many people are concerned that language models like ChatGPT could take their jobs.
AI-powered chatbots are already acting as virtual customer service assistants, handling routine queries and freeing up human agents to tackle more complex issues. Meanwhile, in healthcare, AI algorithms can assist with disease diagnosis, data analysis, and even treatment plans.
However, there is good news: AI will also create a whole new set of jobs, especially in the field of technology. The World Economic Forum’s latest Future of Jobs Report predicts a 40% increase in AI and machine learning specialists by 2027. It also projects a rising demand for data analysts and scientists, big data specialists, and information security analysts, amounting to 2.6 million new jobs in the IT sector alone.
The same report expects 75% of companies to adopt AI, likely leading to job churn – with 50% of organizations believing it will create job growth and 25% predicting it will result in job losses.
To adapt to the rise of AI, individuals will have to hone their uniquely human skills, like critical thinking, creativity, and emotional intelligence, as machines take on repetitive tasks. This will involve upskilling and reskilling in fields like data analysis, machine learning, and human-AI collaboration.
Nation, a New York fundraising platform, recently listed a position for a marketing leader experienced in generative AI. Founder Ryan Shea highlights the widespread use of ChatGPT among his employees, stating that while it isn’t perfect, the tool has tremendously enhanced the creative process without replacing “knowledge workers.”
“It’s a technological story as old as time. If you were a horse buggy driver and you didn’t embrace cars, things didn’t work out for you.”
As interest in using AI to increase productivity continues to grow, a range of jobs are gaining momentum, requiring a blend of new and existing skills. Some of these positions don’t even require traditional degrees, which could lead to greater reliance on skills-based hiring.
Here are seven roles that will emerge in an AI-powered future of work.
Generative AI allows users to communicate with AI systems using everyday language and syntax. What you ask of the AI is called a prompt, and you don’t always need to be a programmer with a computer science degree to craft them effectively.
A prompt engineer specializes in designing and refining precise text strings that optimize AI training and produce desired outcomes. They have to be familiar with the nuances specific to different generative AI models, as what works for one may not work for another. Their daily tasks involve creating, testing, and iterating on prompt designs, as well as collaborating with cross-functional teams.
“Writing a really great prompt for a chatbot persona is an amazingly high-leverage skill, and an early example of programming in a little bit of natural language.”
The demand for prompt engineers extends beyond tech companies, including sectors like law firms, customer support, and publishing. You can even purchase or sell prompts on online marketplaces like PromptBase, underscoring the importance of human expertise in this area.
Prompt engineers need strong analytical abilities, deep knowledge of AI technologies, and proficiency in programming languages. Currently, advertised salaries for prompt engineers range from $250,000 to $335,000 annually, reflecting how valuable this role truly is.5]
A study conducted by IBM shows how much AI is affecting the field of product management – product managers are now among the top users of AI in organizations, with 21% working with AI on a daily basis.
AI product managers use their technical expertise to maximize the potential of AI-powered products. They not only identify market needs and develop product strategies, but also utilize their in-depth knowledge of AI and machine learning algorithms to aid in the product development process.
Their daily tasks include defining AI product requirements, conducting market research, monitoring performance, managing costs, and making strategic decisions to ensure a project’s success. Other than the technology industry, sectors such as customer services, e-commerce, and finance also will need these types of product managers.
When it comes to skills, AI product managers need to be well-versed in AI tools and possess technical expertise, as well as skills like effective communication, time management, risk management, and critical thinking.
In fact, AI product leader Marily Nika, a former computer scientist from Google now working at Meta’s reality lab, believes that all product managers will be AI product managers eventually, signaling an AI-driven shift for the future of product management.
Human-machine interaction designers work to facilitate seamless communication between AI systems and the people that use them. They combine expertise in user-centered design, cognitive psychology, and interaction design to ensure smooth and engaging interactions with AI systems.
On a day-to-day basis, they conduct user research, create wireframes and prototypes, and collaborate with various teams to implement intuitive surface designs – all with the goal of making human-AI interactions more efficient, productive, and enjoyable.
In order to optimize human-AI interactions, people in this role need to communicate clearly and understand user intentions correctly, as well as ensure AI responses yield desired outcomes. This means key skills include a deep understanding of user-centered design principles, proficiency in design software, and knowledge of AI capabilities and limitations.
Enjoyable human-AI interaction improves user satisfaction and general acceptance of AI systems, which is why this role will be so important in the near future. Numerous sectors will need human-machine interaction designers, including technology, healthcare, and e-commerce.
Producing impressive and interesting responses isn’t enough for language models like ChatGPT: It’s also crucial the output is accurate and unbiased. The role of an AI auditor is to actively assess AI systems for biases, errors, and compliance with regulatory frameworks.
In the context of AI language models, auditors examine the generated content for accuracy, fairness, and adherence to guidelines. In fact, certain jurisdictions, like New York City, are enacting laws that require bias audits for AI systems used in hiring to ensure fairness and impartiality.
More recently, OpenAI’s CEO Sam Altman appealed to members of Congress to “regulate AI.” He and two other AI experts emphasized how AI could “go quite wrong,” with dangers ranging from the spread of misinformation and bias to even more significant harm.
“I think if this technology goes wrong, it can go quite wrong, and we want to be vocal about that. We want to work with the government to prevent that from happening.”
Sam Altman, CEO of OpenAI
AI auditors will be in demand in the legal, finance, and journalism sectors, where they’ll review AI outputs, conduct audits, and provide recommendations for improvements. The skills they’ll need include attention to detail, critical thinking, and technical knowledge.
As the impact of AI grows, the machines themselves will need to learn how to follow AI instructions. This is where machine managers come in. In their day-to-day, they’ll supervise teams of engineers, collaborate cross-functionally with other departments, and oversee AI-operated hardware and systems.
Businesses will need machine managers to ensure the smooth operation, maintenance, and optimization of AI technologies. By leveraging the distinct expertise of machine managers in supervising AI systems, organizations will be able to improve performance, reduce downtime, and effectively tackle technical issues as they emerge.
This role requires a unique skill set of AI knowledge, project management abilities, and a strong understanding of system architecture and performance optimization.
Given the complexity of the position, job descriptions for machine managers are often found in the technology, manufacturing, and logistics industries. They typically require a computer science degree and relevant experience in the specific field where AI is applied. Salaries can vary, ranging from $109,000 to $251,000 per year.
Even though AI systems automate content generation, they may still produce errors, biases, or inappropriate content. Similar to AI auditors, the role of a content moderator is to review and verify such AI-generated content to ensure accuracy and uphold community guidelines.
For example, in autonomous vehicles, content moderators can accurately identify and mark road signs, pedestrians, and other objects to improve the vehicle’s perception and decision-making capabilities. These tasks make sure the content aligns with the required standards and safety regulations.
Content moderators possess expertise in understanding context, cultural nuances, and sensitive subjects. This enables them to evaluate and filter content that may be harmful, misleading, or non-compliant.
Their feedback and insights can improve the overall quality, safety, and reliability of AI-generated content, ensuring a more trustworthy and valuable user experience. That’s why they’ll play an important role in sectors like social media, online marketplaces, and content platforms.
AI ethicists, or ethics experts, are responsible for guiding the ethical development and deployment of AI technologies. They analyze the ethical impact of AI-generated content and propose guidelines to address biases or harmful outcomes.
According to Google’s Bard, AI ethics experts are in demand and can earn high salaries due to the increasing need for responsible and ethical use of generative AI. Even though the demand for AI ethicists is still evolving, some job postings on job boards like Glassdoor offer salaries up to $173,000 per year.
Different industries, particularly technology and research organizations, are looking for AI ethicists. The skills they need include knowledge of AI ethics, critical thinking abilities, and strong ethical reasoning.
Such skills help them guide businesses and stakeholders in making ethical decisions, protecting user privacy, ensuring fairness, and promoting responsible AI use.
AI’s rapid progress has reshaped the job market with newly minted roles like machine managers, prompt engineers, and AI auditors. However, since most of these positions didn’t exist before, it’s unlikely candidates will have specialized degrees in these areas. Consequently, hiring managers will have to develop innovative approaches to fill these roles.
While well-defined qualifications don’t yet exist for these positions, hiring managers can seek candidates with the right mix of skills, like programming, problem-solving, and a strong capacity for learning.
By adopting innovative recruitment strategies and exploring non-traditional talent sources, you can find the right candidates to fill these emerging roles.
To recruit AI talent, turn to skills-based hiring. By prioritizing skills over traditional experience requirements, you can identify candidates with the skills necessary to excel in AI roles. This method not only widens the pool of potential candidates but also reduces unconscious bias and fosters diversity within the workforce.
By focusing on skills rather than degrees or resumes, you can access the untapped potential of individuals who may have the relevant abilities but lack role-specific professional experience because the job they’re seeking didn’t exist before.
Furthermore, skills-based hiring improves business metrics, such as staff retention and employee satisfaction, by aligning individuals with roles that match their skill sets and passions. This is especially important when recruiting for new roles you’ve never had to fill before, such as the AI jobs we listed above.
Skills-based hiring begins with skills-based job descriptions. For example, a skills-based generative AI engineer job description will focus first and foremost on the skills the engineer needs.
Next, you should assess your applicants’ AI knowledge. It’s now common for companies to use AI-related tasks to find candidates who are willing to learn and adapt to these new technologies
For example, recent prompts on the ZipRecruiter have asked applicants to “describe how you think tools like ChatGPT might affect your role over time” or to “include with your application a ChatGPT-generated story a 7-year-old might enjoy and the prompt you used to generate it.”
Upskilling and reskilling your current employees is an effective strategy to address skills gaps and cultivate AI capabilities within your organization. By evaluating your existing team’s abilities and knowledge through targeted talent assessments, you can identify areas that need development and provide targeted training.
This approach not only helps you retain valuable talent but also saves you time and resources compared to external hiring for AI-related positions. Additionally, upskilling empowers employees to take on new responsibilities and roles, fostering a culture of growth and innovation within your company.
You don’t need to be looking to fill new jobs to train your employees on new AI technology. You can invest in ongoing learning and development (L&D) for existing staff to ensure your business and team stay competitive.
As the demand for AI skills surpasses the current supply, investing in continuous training is crucial. AI expertise is still relatively scarce, so companies must take the initiative to train employees on how to use new AI tools and technologies in their current roles.
Equip your team with the knowledge and skills required to leverage AI effectively, as prompting AI language models will become a fundamental aspect of many job roles. To bridge this skills gap, you can offer ongoing training opportunities, in turn encouraging your workforce to embrace AI technology and contribute to its successful implementation.
Training initiatives demonstrate a commitment to employee development, helping you build a skilled workforce capable of leading AI-driven innovation and growth.
“HR teams are identifying the skills that will be in high demand in the AI era and implementing training programs to reskill existing employees. For example, employees can receive training in data analysis, AI technologies, and human-AI collaboration to remain relevant in their roles.”
The emergence of new roles offers exciting prospects for individuals. From prompt engineers and machine managers to AI auditors, ethicists, and product managers, these positions will be held by pioneers who’ll pave the way for future AI professionals.
Due to their novelty, these roles are difficult for HR managers to fill. However, by adopting a skills-based approach to hiring, you can tap into a diverse talent pool and build a workforce that excels in AI-driven settings.
Moreover, investing in upskilling and reskilling programs can help you bridge the skills gap and adapt to the changing demands of automation. This will help to keep your teams agile and connected in the face of AI.
Want to fill AI roles that didn’t exist a year ago?
Discover why you need to be using skills-based hiring to recruit in an AI-focused world.
12. ‘AI ethics engineer’ jobs, Glassdoor, Accessed on June 14, 2023. https://www.glassdoor.com/Job/united-states-ai-ethics-engineer-jobs-SRCH_IL.0,13_IN1_KO14,32.htm?srs=MEMBER_HOME&ref=benjamindada.com
The Potentially Large Effects of Artificial Intelligence on Economic Growth (Briggs/Kodnani), Goldman Sachs, Accessed on June 13, 2023. https://www.key4biz.it/wp-content/uploads/2023/03/Global-Economics-Analyst_-The-Potentially-Large-Effects-of-Artificial-Intelligence-on-Economic-Growth-Briggs_Kodnani.pdf
Future of Jobs Report 2023, World Economic Forum, Accessed on June 13, 2023. https://www3.weforum.org/docs/WEF_Future_of_Jobs_2023.pdf
“Must work well with ChatGPT: Employers are posting more jobs involving AI tools,” NBC News, Accessed on June 14, 2023. https://www.nbcnews.com/tech/tech-news/job-boards-show-employers-hiring-roles-linked-chatgpt-ai-tools-rcna74023
“$335,000 Pay for ‘AI Whisperer’ Jobs Appears in Red-Hot Market,” Bloomberg, Accessed on June 14, 2023. https://www.bloomberg.com/news/articles/2023-03-29/ai-chatgpt-related-prompt-engineer-jobs-pay-up-to-335-000?cmpid=BBD032923_MKT&utm_medium=email&utm_source=newsletter&utm_term=230329&utm_campaign=markets#xj4y7vzkg
IBM Global AI Adoption Index 2022, IBM, Accessed on June 13, 2023. https://www.ibm.com/downloads/cas/GVAGA3JP
“Product management in the era of AI and Machine Learning, ”Mind the Product, Accessed on June 14, 2023. https://www.mindtheproduct.com/product-management-in-the-era-of-ai-and-machine-learning/#:~:text=AI%20can%20assist%20you%20in,of%20relying%20on%20their%20intuition
.“Manage AI Bias Instead of Trying to Eliminate It,” MITSloan Management Review, Accessed on June 13, 2023. https://sloanreview.mit.edu/article/manage-ai-bias-instead-of-trying-to-eliminate-it/
“New York City passed a bill requiring ‘bias audits’ of AI hiring tech, Protocol, Accessed on June 14, 2023. https://www.protocol.com/bulletins/nyc-ai-hiring-tools
“OpenAI CEO Sam Altman Asks Congress to Regulate AI,” TIME, Accessed on June 15, 2023. https://time.com/6280372/sam-altman-chatgpt-regulate-ai/
“You’re Hired: 5 New Jobs Created by AI,” PCMag, Accessed on June 13, 2023. https://www.pcmag.com/news/youre-hired-5-new-jobs-created-by-ai
‘AI ethics engineer’ jobs, Glassdoor, Accessed on June 14, 2023. https://www.glassdoor.com/Job/united-states-ai-ethics-engineer-jobs-SRCH_IL.0,13_IN1_KO14,32.htm?srs=MEMBER_HOME&ref=benjamindada.com
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