Medical device innovation largely depends on employers having access to experienced and specialized skills. Even in today’s uncertain global economy, that access can be difficult to secure. Historically, acquiring in-demand talent required a blend of art and science hinged on the skills of recruiters, the employer’s brand, and the recruitment experience. The proliferation of generative and agentic artificial intelligence (AI), however, promises to significantly simplify, advance, and accelerate the talent acquisition process.

These developments are enabling medtech employers to more quickly and effectively acquire skills, leading to all kinds of gains in innovation and commercialization. Furthermore, automation enhances hiring managers’ access to talent pools, removing layers of separation that otherwise could lead to a poor recruitment journey, protracted hiring times, and applicant drop-off. While recruiters will still play an essential role in the process—Randstad Enterprise’s 2025 Talent Trends research shows 30% of talent leaders believe AI will allow their function to focus more on value-added tasks¹—technology is nevertheless redefining how employers engage with prospective hires.

A Race to Create Value

While AI is often primarily considered a tool to reduce costs and drive efficiency, medtech employers may realize a bigger payback through value creation. Agentic and generative AI are not only driving the productivity of talent acquisition professionals, they are also pivotal to identifying, recruiting, and developing talent and the unique skills needed to drive device innovation. Moreover, AI is enabling OEMs to identify employees and job candidates who possess skills adjacent to those that may be challenging to come by. Doing so helps recruiters and hiring managers more quickly and effectively fill roles that may otherwise take significant time to fill. In fact, the vast majority (87%) of life sciences talent leaders we surveyed in our 2025 Talent Trends survey say AI-powered tools will improve the talent pool and drive process efficiencies.¹ 

There are many examples of how AI is transforming recruitment today. For instance, Workday’s Human Capital Management Platform, which is widely used by enterprise organizations around the world, last year processed more than 700,000 job requisitions, increasing customers’ recruiting capacity by an average of 54%.² According to the company, these gains are the result of myriad benefits from enhancing recruiter capabilities through AI support. These include:

• Access to more talent by making vast pools of qualified people available with just a few clicks
• Smarter matching from identifying the most relevant and likely-to-apply talent for each role 
• Agentic support for job description creation, sourcing, and interview scheduling
• Ability to grade candidates to accelerate the hiring process
• Advanced inclusive hiring practices to ensure all talent is equally considered

AI-Powered Sourcing Expands Talent Pool 

One of the most significant recruitment challenges for medtech companies is sourcing qualified candidates, particularly for specialized or niche roles. As the industry continues to advance innovation, the need for new, undefined skills continues to grow. Therefore, traditional methods such as job postings yield limited results, especially when reaching high-quality passive candidates. Advanced AI tools can scan millions of resumes, online profiles, social media, and employment histories in real-time, identifying ideal candidates based on job requirements and company profiles. Such technology leverages algorithms and natural language processing to analyze and identify matching keywords, skills, and qualifications. This reduces the time recruiters spend on candidate reviews so they can focus instead on nurturing relationships with talent and hiring managers.

AI’s impact on sourcing is transformational because it can provide comprehensive information about each candidate. This deep dive into a person’s background, skills, and potential boosts the likelihood of hiring success because the insights go well beyond a person’s experience and training. For example, technologies such as Eightfold’s Talent Intelligence Platform infer skills that may not be explicitly listed on a candidate’s resume but are commonly associated with certain roles or industries.³ Also, consider how J&J’s technology group underwent a digital transformation with the help of AI-powered skills inference.⁴

This data enrichment enables recruiters to personalize their outreach and tailor their messages to resonate with specific candidates, increasing response rates and engagement. The promise of tailored development for individual workers is a powerful incentive for attracting talent, according to Randstad’s 2025 Workmonitor survey of working adults around the world.⁵ It found that 75% considered the opportunity for training and development an important consideration in choosing employers. 

AI-Driven Screening Enhances Efficiency and Inclusion

At the same time, the growing use of AI tools is accelerating the process for identifying and selecting the most qualified candidates for every job description. These tools, which analyst Josh Bersin has coined “digital twins” for their ability to act as an agent supporting recruiters and other HR professionals, will increasingly integrate into the screening, interviewing, and skills assessment process of hiring.⁶ They may even help employers evaluate soft skills, such as communication, teamwork, and problem-solving, by analyzing their online activity and social media presence. By automating the initial screening process, recruiters can focus on engaging with the most qualified candidates.

Part of the appeal is AI’s ability to minimize unconscious bias. While life sciences companies must still be vigilant of inherent bias that may exist—for instance, developing tools based on improper data sets or using poorly designed algorithms—a well-executed strategy for mitigating such flaws ensures a fair and inclusive process for screening and selection. By removing human bias from the initial screening, employers are provided access to the best talent available.

Improving Talent Experience and Time to Hire

One of the most common complaints among talent and hiring managers is the protracted time to hire. Numerous rounds of interviews and belabored decision-making are detrimental to both workforce productivity and applicant drop-off rates. The use of agentic and generative AI is streamlining this process and improving the hiring journey so new hires come onboard more engaged and enthusiastic about their new role. For instance, agents can help recruiters and hiring managers automate tasks, personalize interactions, and provide faster, more efficient communication. The hiring black box and resulting lack of feedback that have traditionally exasperated candidates are giving way to a more open process as a result of AI tooling. For instance, Aspen Dental uses AI automation to alert passed-over applicants to the reasons why they were rejected.⁷ This enhances not only the current hiring journey, but it also endears silver medalists to the brand and encourages them to consider roles in the future. 

The hiring journey is also being optimized with AI automating interview scheduling, background checks, and other administrative burdens. Furthermore, AI can help identify high-potential candidates and predict their future performance, enabling companies to make more informed hiring decisions. By analyzing historical data on employee performance and retention, AI algorithms can identify patterns and correlations that indicate which candidates are most likely to succeed in a particular role. This predictive capability allows companies to focus their efforts on hiring individuals who have the potential to become top performers.

The Future of Recruitment: Continuous Optimization and Transformation

As AI technology continues to advance, its role in medtech recruitment will only proliferate. As device companies continue to optimize their skills-based approach, AI will advance to offer greater insights into candidate behavior, skills, and potential. It will also play a larger role in workforce development, helping employees acquire new skills and adapt to changing job requirements.

However, it is crucial to remember that AI is a tool, and human judgment remains essential in the recruitment process. AI can automate tasks, provide insights, and eliminate bias, but it cannot replace the human element of building relationships, assessing cultural fit, and making final hiring decisions. The most successful organizations will leverage AI to enhance their recruitment processes while maintaining a strong focus on human interaction and empathy.

References

1. tinyurl.com/mpo250391
2. tinyurl.com/mpo250692
3. eightfold.ai
4. tinyurl.com/mpo250694
5. www.randstad.com/workmonitor
6. tinyurl.com/mpo250696
7. tinyurl.com/mpo250697

MORE FROM RANDSTAD—Think Tasks and Skills: Successfully Accelerating the Integration of AI

Ruby van den Hoff is the managing director of EMEA-based global accounts and life sciences for Randstad Sourceright, part of Randstad Enterprise. She works with Fortune 500 companies to develop and deliver solutions that improve and drive strategic access to talent. van den Hoff has more than 15 years of experience in recruitment and workforce consulting with major global clients and has worked for more than 10 years delivering contingent and permanent solutions for major life sciences companies. The emphasis has always been on improving the quality of her clients’ talent acquisition strategies.