Governance
Artificial Intelligence Has Come To Enable Human Capital
By Prof. Kellen Kiambati
Recently McKinsey published a report that indicated almost all companies invest in AI, but only one percent believe they are at maturity and the finding was not associated to staff ability to embrace AI but leaders who are not steering fast enough. The report got me thinking that it is no longer a distant promise in tech labs but now one of AI’ s greatest strengths is its potential to create what many call augmented intelligence meaning a state where humans and machines combine strengths to achieve outcomes neither could reach alone.
As HR practitioners, we are currently in a space where computers do not simply process instructions but they collaborate, interpret, generate solutions, and free human beings to attend to more strategic matters. This takes me to my title that AI is not a threat to human capital but a force multiplier capable of unlocking unprecedented levels of capability and creativity among employees. The question is how should HR experts navigate the new norm?
What we are traditionally used to is technology taking over repetitive work like payroll management and leave management. Now we have AI supporting cognitive tasks that once required advanced skills or years of experience. Meaning what took us five years can now take us a very short time to do and do with higher levels of excellence.
Reflect upon where you work and ask yourself if your organization now acknowledge that AI is indispensable for future competitiveness and that investments are rising rapidly calling for need to embed AI into work processes. The true barrier is leadership readiness and the ability of organizations to redesign processes, inspire change, and build a culture that embraces continuous learning. As it is now, employees are already experimenting with AI, often more confidently than their leaders expect. Teams want to enhance their capabilities, simplify complex tasks, and reduce administrative burdens. They are willing to learn. What they need is clarity in terms of direction, purposeful integration of AI into daily work, skills development pathways and ethical guardrails as they use AI.
As much as we want to integrate AI into work places, there is an elephant in the room to be addressed. Employees are worried about risks such as accuracy, data privacy, bias, and cyber security. These fears are real and must be addressed through transparent AI governance, strong data protection systems, clear communication about safe use and organizational values. We must keep revisiting our values perhaps as a compulsory periodic meeting agenda to remind employees to always remain ethical even as they use AI to support their work.
This arrangement has necessitated organizations to revisit trust as a strategic asset. Organizations that earn employee trust on AI deployment will accelerate faster than those that treat safety as an afterthought. There is an increase in data-driven, automated, and digitally augmented environments now and the speed and quality of AI adoption depend equally on the technology itself as well as on the confidence employees place in the systems, the leadership, and the organizational intentions behind AI integration. Trust functions as an enabling capability that determines whether employees view AI as a threat to their autonomy and livelihood or as a tool that enhances decision-making, performance, and innovation. So as HR we must continuously measure trust deficit levels so as to put the right measures in place.
There is need for HR to encourage senior leadership to build trust as a strategic asset requiring deliberate behaviors such as continuous communication, transparency in decision-making, demonstration of ethical leadership, and consistent assurance that AI will complement rather than displace human capability. They must also articulate clearly why AI is being deployed, how decisions will be made, who will be accountable, and how benefits will be shared with employees.
Circling back to the McKinsey report I referred to earlier, I invite us to imagine a world where machines not only perform physical labor but also think, learn, and make autonomous decisions. This world includes humans in the loop, bringing people and machines together in a state of superagency that increases personal creativity. AI will catalyze productivity levels and also reshape our interaction with technology and with one another.
Prof. Kellen Kiambati holds a BA- HRM from Kenyatta University, MBA from the Kenya Methodist University and a PhD in Business Administration with a focus in Strategic Management from JKUAT. She is a member of the Institute of Human Resource Management of Kenya. She can be reached via: Kellenkiambati @ gmail. com.
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