What is more likely is the proliferation of mid-tier AI systems transforming the capacity of mid-level skilled workers to better fill vacant jobs and to participate in human-critical automation of the enterprise, and in the search for novel business methods and models.
With superior virtual reality and machine-iteration systems, average food technologists can carry out a more varied range of biochemical explorations. Nurses can perform a wider range of imaging tests. Fashion design trainees can contribute more effectively to the fabric technology sourcing process.
And so on and so forth.
With improving personnel agility comes more nimble business models and an expansion of the job market.
Add these prospects to the potential productivity lift and the better synching of job openings and personnel availability and a whole new vision of what pro-human or cis-human AI might do for the job market emerges, one that is starkly different from the dystopian prophecies tethered to the rise of trans-human AI.
A new “work-life blend”
Tomorrow’s workers will also be much more independent in terms of their attitude – not just because of all those communications gadgets in their pockets. The result will be a new “work-life blend”, in which a “job” is no longer confined to traditional working hours or places, with employees taking total control over their schedules and environments. And with greater volatility and flexibility the norm, tomorrow’s workers will have a very different approach from their predecessors, most evident through a greater emphasis on “purpose” in job selection.
in recent years, many jobs requiring only mathematical skills have been automated. Bank tellers and statistical clerks have suffered. Roles which require predominantly social skills (childcare workers, for example) tend to be poorly paid as the supply of potential workers is very large.
The study shows that workers who successfully combine mathematical and interpersonal skills in the knowledge-based economies of the future should find many rewarding and lucrative opportunities.
future of jobs report from the world economic forum >> www3.weforum.org/docs/WEF_Future_of_Jobs.pdf
three core variables
– the rate of technological change and its impact on business models;
– the evolution of learning among the current and future workforce;
– the magnitude of talent mobility across geographies
based on these parameters, they have predicted 8 scenarios: WORKFORCE AUTARKIES, MASS MOVEMENT, ROBOT REPLACEMENT, POLARIZED WORLD, EMPOWERED ENTREPRENEURS, SKILLED FLOWS, PRODUCTIVE LOCALS, AGILE ADAPTERS.