AI & Robotics recruitment: The talent landscape is highly competitive and rapidly evolving
With the increasing demand for automation and intelligent systems across various industries, there is a growing need for skilled professionals who can design, develop, and implement these technologies.
AI and Robotics will add $13 trillion to the global economy by 2030, according to a recent study by McKinsey. That translates to a year-over-year increase of 1.2% of the entire globe’s GDP.
Technological advancements have the power to revolutionise traditional processes across all sectors. However, while AI-powered technologies like ChatGPT can bring tremendous value to the table, it is crucial to recognise that business growth will always rely on an element of expertise and intuition of human professionals.
AI & Robotics : Hiring challenges
The hottest roles in this industry right now are AI Prompt Engineers, AI Software Engineers, Machine Learning Engineers, Data Scientists, and AI Researchers. The demand for these roles is likely to continue to increase as more companies look to implement AI and machine learning solutions to improve their operations and remain competitive in the market.
Talent scarcity
The demand for AI and robotics professionals surpasses the available talent pool. Skilled individuals with expertise in machine learning, computer vision, natural language processing, and robotics are in high demand, making it challenging for companies to find and attract qualified candidates.
Competition from tech giants
Large technology companies like Google, Facebook, and Amazon have significant resources and attractive perks, making it difficult for smaller companies and startups in the AI & Robotics field to compete for top talent. These companies often have well-established employer brands and can offer competitive compensation packages.
Evolving skill requirements
AI and robotics technologies are rapidly advancing, resulting in evolving skill requirements. Companies may struggle to find candidates with the most up-to-date knowledge and experience in emerging areas such as deep learning, reinforcement learning, and human-robot interaction.
Cultural fit and domain expertise
Building AI and robotics solutions often requires interdisciplinary collaboration, involving engineers, data scientists, domain experts, and researchers. Finding candidates who not only possess the technical skills but also have a deep understanding of the industry or specific domain can be challenging.
Competition for top AI talent
The scarcity of AI talent makes it challenging for companies to find qualified candidates who possess the necessary technical skills, domain knowledge, and innovative thinking required for AI projects. Additionally, large tech giants and well-funded startups often have the resources to offer lucrative compensation packages and enticing benefits to lure AI experts away from other organizations.
End-to-end recruiting
AI & Robotics recruitment: We work on a transformative initiative to revamp the entire recruiting process, acting as strategic partners to implement new process designs that will ensure organisations can continue to attract, hire and retain the tech talent they require to drive business growth.
We can help companies navigate talent scarcity, competition, evolving skill requirements, and cultural fit challenges in the AI & Robotics area.
-
- Market Intelligence
- Salary benchmarking
- DE&I process solutions
- Omnichannel inbound/outbound strategy
- Employer branding and value propositions
- Design and implement hiring process
- Interview training
- Access to a specialised network
- Deep understanding of skill requirements
Proximie are leading the digital transformation of surgery
Prior to Troi, Proximie had a large dependency on contingency agency for tech hires. Their junior internal recruiter was handling too many vacancies which was resulting in an average time to hire across the company of circa 60 days.
Troi reduced the time to hire by 50% in 8 weeks and made over £100k savings across agency costs and perm hires that replaced expensive contractors.