Boost Innovation

Efficiency and Success Measures That Save Human Jobs

Efficiency and success as a human and robot in one image

In 2019, gold standard economics research firm Oxford Economics shared data that really indicates the scale of robotic replacement potential for many jobs that humans currently occupy. This is clearly due to the efficiency and success rates that new technology provides.

They reference the fact that one robot can replace 1.6 human manufacturing jobs on average. This will lead to tens of millions of jobs being replaced by automation by the year 2030.

It is no secret that automation is going to continue to occupy jobs that humans currently hold, but the question that needs to be asked it: Does it have to?

Graph representing efficiency and success related reasons for adopting robots
Image from BBC Article:

Culture Analytics Improving Efficiency and Success

Culture Analytics, Boost Innovation’s proprietary algorithms, methods, and measures of group culture, has been shown to to improve both efficiency and success metrics (among others) for both workplace and sport organizations.

The solution becomes more and more clear when it comes to solving the challenge of how to integrate automation and maintain human connection. We must find innovative ways to drive the efficiency and success rates of humans closer to that of robot and AI technology in order to maintain economic viability.

Keep Your Enemies Closer

At Boost Innovation, we have always believed that the resistance to use of advanced AI, VR, and robotics tools is one of the earliest indicators of lack of long term viability in an organization.

The idea that adoption of these things means replacing human jobs is simply not accurate. In fact, the adoption of these tools can be the exact reason why humans perform in ways that technology never will.

Using our Culture Analytics tools in order to improve rates of efficiency and success outcomes has been shown to provide the advantages of human connection, combined with the improved efficiencies that many seek from automation.

The efficiency and success rates increase when we measure things like:

  • Power vs Distance
  • Long vs Short Term Orientation
  • Openness
  • Agreeableness
  • Authenticity
  • Vulnerability
  • Growth Mindset
  • And the other key metrics in Culture Analytics

The Takeaway

To us it’s simple.

Instead of driving improved efficiency and success measures purely by going all in on automation.

Instead of hiding from AI, VR, robotics, etc in order to maintain human components.

Drive more efficient and successful human-based organizations by using those tools in strategic and innovative ways.

Go check out the GRW Project for our workplace culture measurement tools, or the FLW Project for our sport measurement tools today.

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