Manufacturing is emerging as one of the sectors that could benefit most from AI in manufacturing. By enabling predictive maintenance, quality control, supply chain optimisation, and automation, AI promises to improve efficiency and reduce costs. However, implementing AI effectively can be complex, and companies must consider whether to hire a dedicated AI specialist or integrate AI expertise in other ways. Here, Stephen Hayes, managing director at Beckhoff UK, examines the pros and cons of hiring an AI specialist.
What Does an AI Specialist Do?
AI specialists bring technical expertise in machine learning, data analytics, and computer science. Their role is to design, develop, and deploy AI solutions tailored to the specific needs of an organisation.
In a manufacturing setting, an AI specialist could be involved in tasks such as developing predictive maintenance algorithms that monitor machine health and anticipate failures before they occur. They could also help with creating AI-driven quality control systems that detect flaws in products at various stages of the manufacturing process and implementing data-driven models to forecast demand and optimise inventory levels. An AI specialist could even design intelligent automation solutions that enhance productivity.
Hiring an AI specialist could mean that a manufacturer has a focused resource dedicated to these goals, which can lead to the swift and effective deployment of AI solutions. However, there are pros and cons to consider before making the decision to hire.
Advantages of Hiring an AI Specialist
Specific Knowledge
Potential AI applications in manufacturing will differ between facilities. Every production line has unique requirements, whether they are related to production speed, product quality, or specific industry compliance. An in-house AI specialist can work closely with other teams to develop solutions that meet these needs precisely — something that you wouldn’t get when using an external source. Over time, these individual gains valuable insights into your processes, products, and challenges, which they can then use to continuously improve AI-driven solutions and adapt them as the business evolves.
A Quick Response
In manufacturing, any failures on the production line will result in downtime, which can be catastrophic for a number of reasons. With an AI specialist on-site, companies can quickly address problems with customised data-driven insights, potentially minimising downtime and reducing reactive maintenance costs. An AI specialist can also respond dynamically to new requests or adjustments in the AI system, speeding up development cycles and making real-time improvements.
Scaling Up
As manufacturers embrace AI, their needs typically evolve, and small-scale pilot projects often grow into large-scale applications. An AI specialist can guide this progression, ensuring that projects are scalable, cost-effective, and aligned with broader business goals. They can manage infrastructure updates, train other employees, and develop new models as the business grows, making it easier to keep up with the ever-evolving technology landscape.
Challenges of Hiring an AI Specialist
Cost Implications of an AI Specialist
Hiring an AI specialist can be a significant investment, particularly in the UK, where demand for AI talent often means higher salaries. Not only will an AI specialist require a competitive wage, but there are also costs associated with ongoing training, as AI evolves rapidly and requires specialists to stay up-to-date with new methods and technologies. For companies with limited budgets, it may make more sense to bring in a consultant or engage with external experts on a project-by-project basis.
Alternative Solutions
Several AI applications are now available in modular formats, meaning companies can leverage advanced AI solutions without needing a specialist. Many industrial automation providers, such as Beckhoff, offer pre-configured AI tools designed specifically for manufacturing applications. These solutions often include predictive maintenance, quality control, and process optimisation out of the box, allowing manufacturers to implement AI without deep technical knowledge. For companies with limited AI needs or low budgets, these pre-built solutions can be an effective way to gain the benefits of AI without hiring an in-house expert.
Skill Development
In some cases, manufacturers may find that training existing employees in AI can be an efficient alternative to hiring a new specialist. Many AI solutions are now user-friendly, and with the right training, process engineers or data analysts can often manage basic AI tasks. Investing in courses, workshops, or even certification programmes for current employees can be a cost-effective approach for companies with limited AI needs, allowing them to cultivate in-house talent over time.
Making the Right Decision: Do You Want to Hire an AI Specialist
The choice of whether to hire an AI specialist ultimately depends on the complexity of your AI requirements, budget constraints, and long-term business goals. For manufacturers with specific or extensive AI in manufacturing ambitions — such as developing customised machine learning models or integrating AI across all operational areas — an in-house specialist can provide significant advantages. They offer tailored expertise, quick response times, and the ability to drive continuous improvement in line with company goals.
On the other hand, smaller companies or those with more straightforward needs may find that alternative options, like pre-packaged AI solutions, consultants, or training existing staff, provide enough support to implement and benefit from AI.
In conclusion, an AI specialist can be a powerful asset for manufacturers with AI in manufacturing goals. However, for many companies, alternative routes can offer flexible and cost-effective ways to achieve AI-driven transformation.
For more information check Beckhoff’s automation solutions
