The Future of Work in Professional Services . . .
How to survive, we need to prepare for not doing tomorrow, what we are good at today
If you read the many articles on ‘the future of work’ you will hear in the future we will either;
- All lose our jobs to automation; or
- Not be able to cope with the amount of jobs created by automation; or
- It will mean the end of the world as we know it!
So, what it the reality for Professional Services?
The reality is, we will lose some jobs to automation, some will be created, likely to proportionate to those that are lost, but nearly all jobs will be changed.
As artificial intelligence (AI) matures it will be able to take over more and more of the mundane tasks that people undertake today. For now, we need people to train our AI systems, for them to be accurate and effective, but as seen in the article I refer to about the Google robot, the time will come when AI trains itself.
The repetitive work we currently do, some simple like updating data in a spreadsheet or database, some complex like onboarding and offboarding employees across multiple systems, can all be done with process automation. Therefore to coin the oxymoron from the second article we need to ‘unlearn’, the process of letting go some of the repetitive mundane tasks we do today, analysing where we add value and refocus (or retrain) to increase the value we add to our organisations.
According to the recent report from the World Economic Forum over 40% of the core skills we need to do our jobs will change in the next two years, that leaves the obvious question, what are you doing to make sure your organisation uses automation, intelligent automation (IA) and artificial Intelligence (AI) to make sure it stays relevant in the (near) future?
- In the past for Artificial Intelligence to learn it has involved human involvement in its training.
- Google researchers have built a robot capable of learning to walk by itself with minimal human intervention.
- This is one of a number of initiatives across the big tech companies to move towards, self-learning Artificial Intelligence.
- Unlearning what you’ve learned is key for automation of repetitive time-consuming tasks.
- Automation can help a workforce to be more analytical as opposed to tactical and releases people to perform higher value tasks.
- Unlearning doesn’t mean you give up from the task completely—think of automation as digital assistants that you’ve enlisted to get the work done.
- In a recent report the Work Economic Forum suggest we need to reskill more than 1 billion people by 2030.
- And that in the next two years – by 2022 – 42% of core skills required to perform existing jobs are expected to change.
- In addition to high-tech skills, specialized interpersonal skills will be in high demand, including skills related to sales, human resources, care and education.