Artificial Intelligence (AI) has transitioned from being considered a future technology to playing a significant role in the modern workplace. While AI has not become all-encompassing, its current applications are influencing how organisations and industries function, as well as how employees perform their duties.
By the end of 2024, approximately 75% of workplaces had implemented AI tools, with nearly half adopting them within the last six months. This indicates a rapid change in operational approaches, particularly regarding innovation, efficiency, and strategic planning. The focus for many organisations is now on building internal capabilities to use AI effectively. Programs such as AI apprenticeships have emerged to support skill development among both current and prospective employees.
AI’s Impact in Organisational Processes
The adoption of AI has resulted in various outcomes. According to 2024 research, 90% of employees using AI reported time savings, and programmers utilising AI tools completed more projects per week than those not using such technology. However, these changes also bring challenges; while 65% of employees report using AI tools like ChatGPT, 45% are concerned about job displacement.
This combination of increased productivity and workforce concerns highlights the importance of providing education, transparency, and structured training to ensure employees have the necessary skills to work alongside evolving technologies.
Addressing the AI Skills Gap
Despite broader AI adoption, some leaders report difficulty in attracting candidates with required AI skills. In 2024, 68% of surveyed business leaders encountered this challenge. However, research suggests that the issue may be related to perceptions rather than actual shortages. For instance, while most C-suite leaders and employees are familiar with generative AI tools, leaders tend to underestimate the extent of employee usage. Employees themselves anticipate increased AI integration into daily tasks compared to leader expectations.
These findings indicate a need for improved understanding of workforce capabilities and proactive training efforts.
The Importance of AI Training
As AI becomes more embedded in workplace operations, demand for relevant training grows. Many employees seek structured opportunities to expand their knowledge and practical skills in AI. Research shows that about half of employees want formal AI training, yet over 20% report receiving little or no support to develop these abilities. This gap between interest and training provision may impact organisational adaptation to technological advancements.
To address this, comprehensive and accessible training programs are recommended.
AI Apprenticeships for Workforce Readiness
AI apprenticeships are structured programs designed to provide individuals with practical experience and foundational knowledge of AI technologies. These initiatives aim to:
· Identify and recruit individuals with an interest or background in AI
· Deliver ongoing training aligned with technological developments
· Connect theoretical knowledge with real-world application
· Support organisations in developing in-house AI competencies while supporting participant career growth
Investing in such apprenticeships can help build a skilled talent pipeline equipped for continued technological evolution.
Recruit, Train, Deploy: An AI Apprenticeship Model
In response to industry needs, a comprehensive AI apprenticeship solution has been developed using a Recruit, Train, Deploy approach:
Recruit: Talent communities are utilised to identify candidates—including those new to the field and experienced professionals seeking upskilling—who demonstrate potential for AI-related roles.
Train: In collaboration with specialist providers, accelerated and customisable training covers data analysis, Python fundamentals, advanced AI tools, and machine learning. Training pathways are tailored to organisational requirements, spanning Levels 4 to 6, and include bootcamps and enterprise programs of 8–16 weeks.
Deploy: Following training, apprentices assume positions where they can apply their new skills, addressing organisational skills gaps and establishing clear career trajectories for participants.
Program Outcomes
The effectiveness of AI apprenticeship programs is supported by completion rates, grade achievements, and the number of trained specialists. For example:
· 100% apprenticeship completion rate
· Over 60% of learners achieve distinction or merit grades (compared to a 33% industry average)
· More than 5,000 AI and data specialists trained
· 12–15 month apprenticeships with reported return on investment
· Upskilling provided at no additional cost through government funding resources
The program offers end-to-end support, including candidate selection and course management, with the goal of supporting long-term success for both organisations and participants.
Conclusion
AI is increasingly integrated into modern working environments. Organisations investing in AI capabilities may improve their prospects in changing markets. Apprenticeship models such as Recruit, Train, Deploy aim to equip businesses and individuals with relevant skills for an AI-influenced workplace.
Contact chris.blackburn@impellam.com to discover how we can help you.
