Search for a command to run...
Each era demands unique skill sets due to change. Chronological, epistemological, and industrial changes; change in intelligence forms; in consciousness; in science, technology, economic, social and spiritual (STESS) conditions have distorted Uganda’s quest for Industry 4.0 skill sets. This is a conceptual paper, informed by the thesis that Uganda’s Industry 4.0 skilling is biased against supernatural intelligence (SnI) and the Spirit realm, and obsessed with artificial intelligence (AI), STEM subjects, and materialism. The study was underpinned by the dead horse theory (DHT) and used the literature review and document analysis methods. Findings: Industry 4.0 has changed Uganda’s STESS conditions from Stable, Predictable, Simple and Direct (SPSD) to Volatile, Unstable, Complex and Ambiguous (VUCA). Different eras rely on different production materials and require unique, additional skill sets. Uganda’s skilling and development planning is stuck at, and underpinned by physical/material and tangible resources. Right Spirituality is the major missing link in Uganda’s quest for Industry 4.0 skill sets. Uganda’s skills portfolio is stuck at the knowledge epistemological level. Uganda’s flagship programme to 10X GDP to $500bn by 2040 is a predictable failure for violating the epistemological rule of thumb that problems cannot be solved from the same plane of consciousness at which they occurred. Recommendations: Uganda’s educators and development planners must graduate their socio-economic thinking from the past 18th, 19th & 20th centuries to the 21st century, Industry 4.0 and the fast-approaching 22nd century and its Industry 5.0. Uganda should draw from, and depend on the change-proof Spirit rather than contend with Him in her noble pursuits of skilling, science, research, and development programming. Uganda should adjust its $500 bn GDP 10Xing timeline to 2030, and proactively invest in turning its 4.8 NEETY to YEET so as to exploit its 4.8m demographic dividend in the GDP 10Xing project.
Published in: International Journal of Advanced Research
Volume 9, Issue 1, pp. 141-157