🏆 Test your reinforced steel (rebar) knowledge! Take our ShapeCode Quiz and enter to win a Shape Code Champ t-shirt
How can you attract the best AI talent from a limited pool?

How can you attract the best AI talent from a limited pool?

Table of Contents

According to research by MMC Ventures - link no longer works, demand for AI talent has doubled in 24 months, faster than the talent pool can keep up. As of 2019 there was one AI professional for every two available jobs, so building a team of AI developers for your organisation requires both focused recruitment and a sound retention strategy.

desk setup with two monitors, keyboard and a pair of headphones with a smartphone on a stand on the right-hand side

Why are there so few AI professionals on the job market? AI development requires a suite of skills from mathematics, computing and statistics, which for many specialists come from years of postgraduate study and experience. Once they attain these skills, they tend to stay in the roles that they find, with MMC Ventures reporting that three quarters of AI professionals are satisfied in their current role.

MMC Ventures predict that the "gulf" between AI talent and supply will eventually shrink. AI skills are gradually becoming more common - and the talent pool is growing - as universities and tech companies offer more courses in relevant topics, and tools such as Numpy and Tensorflow make AI development more accessible. But the demand for AI talent continues to intensify faster than the talent pool is growing.

In this competitive environment, how can you attract talented AI professionals to your organisation? MMC Ventures recommend that companies "align roles to AI professionals' primary motivators". Despite AI professionals being among the highest-paid developers, their primary motivators are learning opportunities, working environment and flexibility that allows them to work with their preferred technologies.

They suggest that organisations of different sizes leverage their respective strengths: large enterprises should offer high salaries and access to large datasets, whereas start-ups should focus on emerging talent, offering an appealing company culture and the opportunity to 'make a difference'. Crucially, they state that "start-ups and scale-ups cannot, and need not, compete with the pay offered by large companies". AI developers tend to be highly skilled individuals who relish opportunities to learn, to be challenged and to enjoy the relative autonomy offered by roles in smaller organisations, and these values can overcome differences in pay grades.

Once you have identified your strengths as an employer, recruiting from the limited pool of AI talent requires actively positioning yourself in the areas where talent are searching. MMC Ventures found that AI professionals who are employed found their roles through recruiters, family, friends and colleagues. Meanwhile, AI developers who are entering the field tend to engage more with company websites and job boards. As an employer, choosing either of these routes to recruitment will therefore lead to more or less experienced AI developers, each option coming with its own benefits and challenges. MMC Ventures recommend that organisations also engage with universities to train existing staff and seek out new AI talent directly.

Read the full report here - link no longer works.

Share :

Related Posts

Can AI outperform medical professionals in diagnosis?

Can AI outperform medical professionals in diagnosis?

Last year the Guardian - link no longer works reported that AI is 'equal to humans in medical diagnoses' when interpreting images, referring to a study published in Lancet Digital Health. The study revealed that AI 'deep learning' systems were able to detect disease 87% of the time and correctly gave the all-clear in 93% of cases (the equivalent success rate in healthcare professionals is 86% and 93%). This means that AI in healthcare is on track to support medical professionals, leading to faster, cheaper diagnoses and drug development. This will allow healthcare professionals to achieve more with their time and help more people.

Read More: Can AI outperform medical professionals in diagnosis?
Do you really need big data to start using data science?

Do you really need big data to start using data science?

All businesses generate data. Even the smallest business has access to hundreds, if not thousands, of interesting data points that they could explore. But it is not uncommon for business owners to think their data is small, inferior and not yet worth analysing. This is where they are wrong every time. Starting small is the best thing you can do, so we say, the time to start your first data science projects is now.

Read More: Do you really need big data to start using data science?
Tackling Tech Shortages

Tackling Tech Shortages

Tackling tech shortages - Talent Garden launches bootcamps in Data Science with industry faculty.

Read More: Tackling Tech Shortages