Tips to Reskill Employees in Today’s Age of AI and Automation

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utomation and artificial intelligence (AI) are rapidly reshaping how work gets done across industries, particularly in manufacturing and production environments. Yet while organizations continue investing in new technologies, many are discovering that workforce readiness remains one of the biggest barriers to successful adoption. 

For AI especially, negative perception, limited adoption, and workforce readiness loom large across many industries. While more than three-quarters (76%) of hiring decision makers agree on the importance of AI training programs, more than half (55%) also indicated their companies’ lack the resources to do it, according to an October 2025 report from Express Employment Professionals.  

The same predicament applies to automation. The Association for Advancing Automation has flagged rising concerns about the growing technical skills gap within U.S. manufacturing and has emphasized the importance of investing in workforce development initiatives. 

Where can HR leaders even begin to change the sentiment around emerging technologies and create learning opportunities within their organization? We previously identified the important distinctions between upskilling and reskilling, while also highlighting the business case for both – that they give organizations a competitive advantage in the long term. 

The following are several tactics for the assessment and successful rollout of reskilling initiatives. 

Skills Gap Assessment in the Workforce 

Before launching any type of training, organizations should first understand where automation and AI are most likely to impact day-to-day work.  

At Full Tilt, we gather key insights for our clients through a comprehensive discovery period – combining in-person stakeholder interviews with anonymous employee surveys that are deployed companywide. Custom, anonymous workplace surveys are ideal for flagging existing knowledge gaps and helping align HR leadership with the right training program development.  

Any (or all) of the following survey types can be effective:  

  • Likert Scale: Measures employee sentiment (e.g. Strongly Agree, Strongly Disagree).  
  • Short-answer questionnaire: Identifies commonly used AI platforms and their use cases (e.g., content development, research, ideation, design). 
  • Matrix: a closed-ended format that evaluates multiple items using the same response scale (e.g., Very Satisfied to Very Dissatisfied)

Once the data is gathered and the patterns begin to emerge, the next stage is determining the right strategy. 

Change Management for AI and Training 

Introducing new technologies like AI require thoughtful, authentic communication companywide to ensure adoption across all levels of the organization.   

From establishing proper governance and processes to the calculated deployment of educational resources, employees can build confidence as new tools are integrated into daily workflows. This can be done through the power of storytelling and simplicity 

Full Tilt leverages multi-channel storytelling to engage and educate a workforce. For our manufacturing clients, scannable QR codes – most accessible to hourly workers through breakroom TV slides and printable flyers – provide mobile-friendly access to new standard operating procedures and best practices. Additionally, promoting employee use cases within company e-newsletters or HR updates help reinforce positive adoption of new technology and educational programming. 

Most importantly, keep in mind the human element of reskilling programs. Open dialogue with management and live Q&As with HR helps ensure transparency. Through empowering and consistent communication, employees feel valued and supported through each stage of the process.  

Workforce Training Programs for AI and Automation 

Companies can focus on delivering practical learning opportunities once communication frameworks are in place. This may include interactive training programs, such as group workshops during live town halls to upskill employees on AI or automation technology in real-time. 

Reskilling initiatives become most impactful when employees have opportunities to apply new capabilities through career advancement or internal mobility. For example, one of our manufacturing clients offers a sophisticated internal mobility program where any tenured employee can work a new position for 90 days as an additional workplace incentive. Transitions from the manufacturing floor to an in-office role, or vice versa, expose workers to tasks of higher value while challenging their critical thinking. 

HR leaders can explore ways to promote monthly educational themes within a communication strategy. This can include embedded resource links for micro-certifications and/or higher education programs that relate to AI or automation within regular HR updates. 

It’s important for organizations to evaluate training program effectiveness through regular feedback loops and employee check-ins to ensure long-term effectiveness. These are crucial for helping organizations refine reskilling strategies and ensure alignment with evolving workforce needs. 

Aligning Workforce Development with Organizational Growth 

Workforce development strategies should evolve alongside business priorities and technological advancements. As organizations adopt new technologies, leadership teams often revisit their core communication pillars and competencies to ensure reskilling initiatives support long-term strategic goals.  

Research from Deloitte shows that nearly 70% of business leaders view organizational agility and workforce adaptability as essential to remaining competitive in rapidly changing markets. The same research points to another important truth: the synergy between humans and machines is now the norm.  

This shift is already visible in how some organizations are redefining their workforce identities – with Accenture as one of the most recent examples. As part of its broader shift toward AI adoption, the company rebranded its global workforce as “reinventors,” signaling a cultural emphasis on continuous learning and technological adaptation. 

Automation and AI are transforming how work gets done, but technology alone won’t drive lasting change. Organizations that identify skills gaps, communicate clearly, and invest in workforce training will be best positioned to adapt and grow. 

Ready to explore a transformative outreach strategy that educates and equips a workforce for long-term success? Let’s talk. 

Reskilling Employees in the Age of AI and Automation