The Future of Work from the Perspective of Foresight
Heraclitus was the first to introduce the concept of
perpetual change, which is condensed into his phrase ‘everything flows’.
However, for many centuries the changes experienced by people, including in the
workplace, were extremely slow or gradual, and usually were not perceptible
within a human lifetime. The industrial revolution brought about the
acceleration of change, but today the world is transforming at a pace and in
directions that we have never seen before. At this point, we should distinguish
between deterministic predictions and non-deterministic dynamic estimates. One
could claim that the deterministic view is represented by futurists like the
American inventor Ray Kurzweil, who ‘predicts’ that the now exponential
evolution of technology (Artificial Intelligence) will surpass human
intelligence, and that by the early 2030s the magnitude of non-biological
computational power will surpass the capacity of total human intelligence, while
ultimately the exponential increase in computer capacity will lead to the
so-called Singularity. Kurzweil very clearly identifies the date: ‘I set the
date for the Singularity – which represents a profound and radical
transformation in human capability – as 2045.’ Contrary to the deterministic
predictions of Kurzweil, those of us who are systematically involved in
interdisciplinary Futures Studies, and specifically Foresight, as a
participatory process of understanding the trends in environmental transformation
and alternative strategic foresight, formulate dynamic estimates but give
predictions a wide berth. Every attempt to ‘predict’ the future, not just of
work, results in a series of almost insurmountable obstacles that, to a great
extent, are due to the very nature of the subject of our research: how is it
possible to find something that by definition…does not exist? The future never
exists in the present, but as a mental conception, it gestates in the present
and impacts it in a non-linear manner.
- ΣΥΓΓΡΑΦΕIΣ: Tsekeris, C., & Christofilopoulos, E.
- YEAR: 2023
- TYPE: Book chapters
- LANGUAGE: English