An employee's data is worth a happy meal on the black market, and $81.50 on LinkedIn. How much is it worth to your organisation?
In order to put the "Strategic" into "Strategic Workforce Planning", you need to apply futuring techniques like environment scanning and scenario planning alongside workforce analytics.
The sequel to the international bestseller Humane, Resourced is called "This Time, its Personnel" and is now on sale for digital download on the Amazon.
Asimov died in 1992, 6 years before Google was created and 2 years before Yahoo!, Lycos, and Netscape were founded - but he still managed to predict MOOCs.
HR needs to equip themselves with the knowledge, methods, and frameworks that will allow them to be strategic - but organisations need to enable them to use these tools.
Recently Pew Research ran a survey on the impact of Artificial Intelligence and Robotics on the future of work. 1,896 experts responded to the survey, with 48% believing that automation and robotics will displace a significant number of workers by 2025. The 52% of techno-optimists nonetheless recognised that many current roles will be displaced, even if net employment is the same or higher than it is today.
Frey and Martin at Oxford, in their "The Future of Employment" study, suggested that 47% of current work could be automated in the next 10-20 years, and many of the roles forecast to be automated are jobs traditionally held by younger workers, or lower-skilled work. Some of the roles most likely to be automated, according to the study, are:
- Telemarketers - 99% likelihood of automation
- Hand Sewers - 99%
- New Accounts Clerks - 99%
- Data Entry Keyers - 99%
- Clerical Work in a range of categories - 98%
- Tellers - 98%
- Bookkeeping - 98%
- Payroll and Timekeeping Clerks - 97%
- Cashiers - 97%
Imagine the "career ladder" with the first three rungs hacked off - that's the future we're heading into if these roles aren't replaced. How will we support people entering the workforce if there are no entry-level roles?
What was particularly interesting to me in the Pew Report was:
a. That the respondents were high-profile economists, futurists, journalists, and technologists representing organisations including the New York Times, Yahoo, Google, the Institute for the Future, the European Union, The Economist, and NASA - in other words, the people who are in a position to shape the future; and that
b. Many respondents assigned responsibility for guiding the adjustment to governments, educators, or luck. Some key responses are below:
It's impossible to accurately predict the future, but it is possible to forecast multiple futures, and plan initiatives to respond to those scenario - even if we don't know precisely how the future will unfold. It's clear that whether you believe that net jobs will be destroyed through automation or not, there is a huge transition already happening, and the pace is accelerating. Reports like the Oxford and Pew papers are a wake-up call, but they're not a solution - and we all have a role in determining whether our future is utopian or dystopian.
What are some ways that you believe we can support people undergoing technological unemployment, particularly if the number of unemployed rises above historic levels? How do you see work looking in 2025? How do we support people entering the workforce, if robots and algorithms are doing all the entry-level roles?
Scenario planning is a critical way to anticipate and adapt to (and sometimes take advantage of) the profound changes being faced in the technology, consumer, and labor markets. Even where you are forced to respond to the external environment, you can still position yourself to be agile enough to respond quickly and effectively. Perhaps that's why this quote appeals to us so much!
I had the pleasure of travelling around the spectacular Bay of Plenty region in New Zealand last week, developing 2024 workforce strategy with some incredible people. The hop from Auckland to Rotorua was on a Beechcraft 1900D, and I was fortunate enough to be in 1F - the seat that gives you the best of the cockpit, which gave me pause for thought about workforce analytics dashboard design. Although I usually advocate for a "less is more" approach to analytics in dashboards, the dashboard of an aircraft is fascinating - every gauge, every dial serves a purpose and provides real-time, actionable data. Many business analytics dashboards don't exhibit these properties. A good rule of thumb when determining whether workforce analytics should be reported is to ask these three questions:
- What?: What information is this display giving us? Does it make sense, and can its purpose be clearly communicated?
- So What?: Why does this information matter - what is it's connection to organisational strategy? What's the context as to why we are reporting this?; and
- Now What?: Is the data actionable, and if so, how?
If you're unable to answer these three questions, it may be time to take your dashboard back to the drawing board.