What to expect from the future of work
What is the future of work? When we think of the future of work we often imagine a far off time where our colleagues are robots, our workspaces are virtual and our jobs are almost unrecognisable.
The reality, however, is the future of work is already upon us with evolving tech having a transformative effect on the way we work, how we’re organised, how we communicate and ultimately, what it means to be employed.
The fear that humans will be replaced by artificial intelligence is a common concern among those in full time employment, Jobbio research shows that one fifth of workers in the US believe their jobs will be obsolete in the next 10 years.
What can we expect from tech advancements?
Many of the tasks we do today could easily be automated – it’s not just the administrative or operational even customer service has largely been replaced by machines from the hospitality industry to banking.
That’s not to say that we should expect bot domination any day soon – while most jobs have the potential for high levels of automation – the cost of creating the hardware for automation, plus the availability and cost of the workers who currently carry out those tasks, will have a great effect on the rate of adoption.
What is unavoidable is that many workers will need to upskill or retrain as their roles evolve to incorporate AI – one positive is that for employees who are highly skilled in tech there will be many opportunities to progress and develop. As their skillset becomes more sought after, there will also be a greater case for higher salaries.
As well as that, tech will allow workers to be more productive and efficient as less time will be spent on menial tasks like scheduling. As tech continues to take on new capabilities and become more accessible for people to use, the uptake of automation will become greater, particularly among older generations who have been resistant to such change.
According to a survey by Jobbio, the majority of over 55s (40%) think that salaries will decrease as tech becomes more prevalent, 24% believe they’ll increase while 36% say they don’t know.
The industries that are likely to see continued, accelerated automation in the next few years are media, tech and finance. It will also become more common for data processing to be carried out solely by machines to eliminate the possibility of human error and delays. Jobs that involve people management and coordination are less likely to be automated soon, as human capabilities still outperform machines in this regard. Healthcare and education are industries in which high levels of human interaction and analysis will still be required.
Research shows that the jobs people in the UK believe will become more in-demand will be IT specialists, engineers, doctors and nurses and developers. The jobs they believe will become obsolete are telemarketers, travel agents and factory workers.
Companies that are highly digitised enjoy better productivity and profitability than competitors who have been slower to adopt to digitisation. These businesses who have already embraced automation, speech recognition and virtual assistants will also be better placed for the next round of inevitable disruption.
But while AI can make things quicker, more accurate and essentially more efficient, it still has its limitations. By focusing on the elements of work that require human intuition we can ensure we’re better prepared for the changes to come. Such elements as:
Machines can be programmed to assess patterns, identify inconsistencies and present findings succinctly. However, it’s down to people to determine what the inconsistencies are in order for machines to find them, and then apply the results to decision making and strategy.
Reading emotional reactions, social cues, body language and tone are key parts to communicating effectively and something that humans do extremely well. Socially and professionally we have the ability to be intuitive, empathetic and adaptable in a way machines don’t. We can connect with one another and build out relationships.
Robots outperform humans in terms of predictable labour and applying existing theories or algorithms to systems. What they can’t yet do is come up with new questions and ideas based on their own curiosity. Developing such ideas and ways of thinking is something that remains, for now, distinctly human.