Bridging the AI Skills Gap: What Hiring Managers Need to Know in 2025
Sarah Dolan • May 28, 2025

How to Attract and Develop AI Talent in a Competitive Market

Artificial Intelligence is no longer a “future” skillset — it’s a right now requirement. From predictive diagnostics in Life Sciences to machine learning in Software Engineering, the demand for AI-literate talent is surging across sectors.


But while the need is clear, the supply is not. In Ireland and globally, we’re facing a widening AI skills gap — a disconnect between the rapid evolution of technology and the available workforce to support it.


So how can hiring managers stay competitive in 2025’s fast-moving talent landscape?


This article breaks down the state of the AI skills market, what’s driving demand, and how to attract and develop top-tier AI talent in today’s hiring environment.



The AI Talent Market: What the Data Says


According to the World Economic Forum, AI and machine learning specialists are the fastest-growing roles globally — with demand expected to grow by
40% by 2027.

In Ireland:

  • 1 in 4 tech job listings now include AI-related skills such as Python, TensorFlow, or generative AI frameworks.
  • In Life Sciences, companies are rapidly hiring for data scientists, bioinformaticians, and AI specialists to accelerate research and drug discovery.
  • The Financial Services sector is seeing growing demand for AI talent in risk modelling, fraud detection, and customer analytics.


Yet many companies are struggling to fill these roles. A recent Microsoft Ireland report found that
68% of organisations say their workforce lacks the AI skills needed to compete — yet only 17% have a clear strategy to close that gap.



What’s Driving the AI Demand?


Across sectors, AI is being used to improve efficiency, decision-making, and innovation. Some examples:

  • Life Sciences: AI is transforming drug development, diagnostics, and personalised medicine — requiring hybrid talent who understand both data science and biological systems.
  • Technology: Software companies are embedding AI into core products and using it to accelerate coding, UX design, and automation.
  • Financial Services: AI tools are reshaping customer service, improving fraud prevention, and optimising investment strategies.
  • Business Support & Operations: Even non-technical roles now benefit from AI familiarity — especially in areas like marketing automation, recruitment, and project management.


3 Challenges Hiring Managers Are Facing

  1. Talent Scarcity: AI-skilled professionals are in short supply — and they know their value.
  2. Rapidly Evolving AI Skill Requirements: What was “advanced” last year is often table stakes today.
  3. Internal Capability Gaps: Many companies don’t yet have the environment or culture to fully integrate AI talent effectively.



Bridging the Gap: 5 Practical Strategies for Employers


1. Get Clear on What You Actually Need


Not every AI-related role needs a PhD in machine learning. Start by clarifying:

  • Are you hiring for AI development or AI implementation?
  • Do you need deep technical expertise, or AI-fluent professionals who can apply tools within context?


  • Being specific in your job specs helps attract the right candidates and avoid alienating talent.



2. Expand Your Search Beyond Traditional Profiles


Top AI talent may not always come from expected routes. Many skilled professionals are:

  • Self-taught via bootcamps or online platforms like Coursera and Udacity
  • Career switchers from data analytics, engineering, or scientific research backgrounds
  • Located in different geographies, open to remote or contract work


  • Working with a specialist AI recruitment partner who understand niche markets (like Mason Alexander) can help tap into overlooked or emerging talent pools.



3. Invest in Upskilling and Cross-Training


One way to close the gap internally is to
develop AI capability within your existing teams:

  • Support AI literacy training across departments
  • Sponsor certifications in tools like Python, Power BI, or AI for decision-making
  • Encourage collaborative learning between data teams and business units


  • Upskilling not only builds capability — it also improves retention.



4. Position Your Company as AI-Forward


Top AI talent want to work where innovation thrives. Attract them by:

  • Showcasing real AI projects on your careers site and social media
  • Highlighting cross-functional collaboration between AI and other departments
  • Offering freedom to experiment with tools and approaches


  • In a competitive market, your employer brand matters more than ever.



5. Move Quickly — or Lose Out


As with all in-demand skillsets,
speed matters. AI professionals often receive multiple offers, so streamline your hiring process:

  • Limit interview stages
  • Provide prompt, clear feedback
  • Have competitive packages ready — including flexible work options, learning budgets, and growth opportunities



Looking Ahead: AI Hiring in the Irish Market


Ireland is positioning itself as a hub for AI innovation, with continued investment in R&D, data centres, and tech infrastructure. But talent — not just tech — will determine how fast companies can adapt.


The organisations that succeed in 2025 will be those that understand the market, move fast, and prioritise both attraction and development of AI-skilled professionals.


Whether you're in Technology, Life Sciences, Financial Services, or Legal bridging the AI skills gap now isn’t just a hiring goal — it’s a competitive advantage.



Need Help Hiring AI Talent in 2025?


At Mason Alexander, we work closely with businesses to identify and place the right talent across AI, tech, and data-driven roles — whether you're scaling a new function or hiring your first AI specialist.


👉 Talk to us today about how we can support your hiring strategy.

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