
HOW CAN HR KEEP UP WITH THE ROBOTS?

The Future Is Digital – But So What?
The rapid advancement of technology has had a profound impact on the way we work, and nowhere is this more evident than in the field of human resource management (HRM). As automation and artificial intelligence continue to replace certain jobs while creating new opportunities, it is becoming increasingly clear that HR professionals must adapt to these changes to remain relevant and effective.
What are the key challenges facing HR in the age of automation? What strategies can be used to navigate this landscape?
Reskilling and Upskilling the Workforce
One of the most pressing challenges facing HR today is the need to reskill and upskill the workforce to meet the demands of the evolving job market. As automation and AI take over routine tasks, many workers will find themselves in need of new skills and competencies to remain employable. This requires a proactive approach to employee development, with a focus on continuous learning and training programs that can help workers acquire the skills they need to succeed in the new economy.
HR professionals must take the lead in designing and implementing these programs, working closely with business leaders to identify the skills and competencies that will be most valuable in the years ahead. This may involve partnering with educational institutions and training providers to develop custom curricula and learning pathways that align with the organization's strategic goals.
Embracing Data Analytics and Technology
Another key challenge facing HR in the age of automation is the need to embrace data analytics and use technology to make more informed decisions about hiring, performance management, and employee engagement. By leveraging the power of data, HR can identify trends and patterns that can help organizations make better decisions about their workforce.
For example, predictive analytics can be used to identify high-potential employees and develop targeted retention strategies to keep them engaged and motivated. Similarly, machine learning algorithms can be used to analyze job postings and resumes to identify the most promising candidates for open positions.
To fully realize the benefits of data analytics and technology, HR professionals must develop new skills and competencies in areas such as data science, programming, and software development. They must also work closely with IT and other technical teams to ensure that HR systems and processes are fully integrated with the organization's broader technology infrastructure.
Fostering a Culture of Innovation and Agility
Looking to the future, it is clear that HR must become more agile and adaptable in the face of technological change. This means investing in new technologies and processes that can help streamline HR functions and free up time for more strategic initiatives. It also means fostering a culture of innovation and experimentation, where HR professionals are encouraged to think creatively about how they can use technology to drive business outcomes.
To achieve this, HR must work closely with business leaders to develop a shared vision for the future of work and the role that technology will play in shaping that future. This may involve piloting new technologies and processes on a small scale, gathering feedback from employees and stakeholders, and iterating based on what works and what doesn't.
Ultimately, the success of HR in the age of automation will depend on its ability to embrace change and adapt to the new realities of the workplace. By focusing on employee development, data-driven decision-making, and strategic innovation, HR can help organizations navigate the challenges and opportunities presented by technological change and emerge stronger and more competitive in the years ahead.

So What?
The age of automation presents both challenges and opportunities for HR professionals. To succeed in this new era, HR must be willing to embrace change, invest in new technologies and processes, and develop new skills and competencies. By doing so, HR can help organizations build a workforce that is agile, adaptable, and well-equipped to thrive in the face of technological disruption.