Examining the Implications of the Human Cloud
Across industries, technology is opening up new opportunities and reshaping the workforce as we know it. Uber is perhaps the most well-known example of how the cloud and other technologies can be utilized to connect workers with employers but it’s far from the only company tapping the human cloud. A 2016 report from Staffing Industry Analysts estimates global human cloud revenue from the prior year to be more than $25 million, underscoring that the model is gaining significant ground.
Looking into the not too distant future, I see a huge opportunity for the human cloud to be applied to the staffing of short term projects. Employers will benefit from a skilled labor pool that can complete tasks efficiently with minimal oversight, while individuals will enjoy the greater flexibility that accompanies the “gig economy.”
In order for enterprise adoption of the human cloud to be successful, however, it’s critical that organizations employ staffing best practices and are able to match the right skills and resources with the right job requirements. This includes:
- Identifying the skills gaps that could be best alleviated by the human cloud
- Understanding any changes that may need to be implemented to infrastructure and/or processes
- Defining success metrics to track outcomes, and allow for course corrections along the way
The above and other considerations mean that it’s more important than ever for organizations to ensure they are realizing the full potential of their workforce. This entails having access to expertise in recruitment, remote management and staffing, and also instituting policies to effectively train and manage these new hires.
As companies shift to the human cloud employment model their cultures must transform accordingly, as well. This will undoubtedly present come challenges but, as with any workforce change, the companies that dedicate the time and resources to mastering the transition will be best positioned to capitalize on the benefits of the human cloud.
For more on this and other implications of the human cloud model, check out my recent article in The Staffing Stream.