ARTIFICIAL INTELLIGENCE

AI in some shape or form has been a part of everyday life for years, but the amazing rise of ChatGPT and the resulting aggressive development pace of conversational and generative AI models is, for the first time ever, putting the underlying technology into the hands of the general public. Even though current large language models are primarily able to guess the best-fitting next word in a sentence based on the corpus of content they were fed, CEOs, researchers and AI experts are now urging the industry to pump the brakes on training and developing models more capable than OpenAI’s GPT-4. The company’s latest large language model is currently available in a limited capacity for ChatGPT Plus subscribers and will soon be integrated into Microsoft productivity and security products.

According to an open letter signed by influential figures like Elon Musk and Stability AI CEO Emad Mostaque, “powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable.” The letter was released by the Future of Life Institute, a non-governmental organization founded in 2014 by MIT professor Max Tegmark and Skype co-founder Jaan Tallinn, among others. The Musk Foundation is a primary donor to the organization.

India, China, South Africa and Brazil, are the biggest emerging markets, and are far less critical of the continued implementation of AI systems. 75% of Indians surveyed would place their trust in AI (wow), followed by 67% of Chinese and 57% of South African respondents. According to the accompanying study, respondents claimed to trust AI used in healthcare and security contexts the most compared to other possible use cases.

As per the Randstad Enterprise – 2024 in-demand skills dashboard, the following skills are required by the enterprises

Human skills or soft skills , play a critical role in the skilling of the AI persona. Some of the “core skills” includes – problem solving, analytical skills, creativity, collaboration, ability to manage change, ability to manage failures to name a few.

Right fitment – the first time

To be able to get the right candidate with the right core skills, enterprises are using psychometric tools like The Omnia Group, Inc., TalentSmartEQ etc. so as to benchmark the behavioural skills in the potential candidate with what an ideal AI candidate should possess. This fitment helps in selecting the right candidates for the right profile so that the employee performance is effective and the job satisfaction stays high leading to better stability.

Skills & Motivations

The AI and automation field involves the creation of artificial intelligence and automation solutions, such as machine learning and robotics. Such roles include developing systems that perform tasks typically requiring human intellect and/or manual labor.
Innate core skills encompass problem solving, analytical thinking and mathematical aptitude, while important sub-skills (learned skills) include machine learning, AI frameworks and robotics. Key motivations include opportunities for technological innovation, career advancement and having an impact on society and business.

Skills Supply

What it shows

Skills supply data indicates the total number of individuals who have the skills required for AI and automation in each of the 23 markets we researched. These figures are based on a combination of verified, normalized labor market data by market and granular, skill-based data sourced from professional social media networks and job boards, and career sites.

Use the chart to understand the availability of skills (“supply map”), availability of sub-skills (“skill type”), talent with recent job search activity (“active talent”), as well as the share of talent who prefer permanent or contract work (“preferred employment type”).

Need to know

1. The U.S., India and the U.K. have the largest pools of AI and automation talent, with the U.S. comprising more than one-third of the global talent pool.
2. Czechia, Hungary and Argentina show the lowest availability of AI and automation talent.
3. AI infrastructure is a particularly rare skill-set, represented by fewer than 50,000 specialists worldwide. Ethics and compliance skills are also in short supply among technical specialists in AI.

Skills Demand

What it Shows

Skills demand data indicates job postings that require AI and automation skills in each of the 23 markets we researched. These figures are based on a combination of verified, normalized labour market data by market and granular, skill-based data sourced from professional social media networks and job boards, and career sites.

See demand for each skill cluster by market, explore demand for sub-skills within each cluster or view the job vacancy rate (JVR) — defined as hiring complexity — to understand market competitiveness for these skills. The higher the JVR, the more competitive it is to recruit.

Need to Know

Talent in the AI and automation skill cluster are five to eight times more challenging to find than the market average, with specializations like robotics up to 18 times scarcer.

Given the novelty of the field, senior AI talent are in very high demand, with the job vacancy ratio (JVR) for such individuals 89% higher on average.
Finding talent with relevant skills is easiest in India, Germany and Malaysia (mostly attributed to low demand), while Norway, Brazil and Germany offer the highest access to senior talent.

Summary

Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. AI is here to stay and would impact all of us in some way or the other. It is up to us to decide how much that impact could be but the impact is inevitable.

References:
Florian Zandt, Data Journalist, Statista
Randstad enterprise – 2024 in-demand skills dashboard
Picture courtesy – Britannica
TalSuccess
The Omnia Group, Inc.
TalentSmartEQ



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