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AI) at Spotify

Disrupting the Disruptors: How to Future-Proof the Enterprise

To address the inevitable and somewhat unpredictable ebb and flow of the global economy, executives must prioritize the digitization of the workforce. Senior leaders must think outside of the box to re-engineer how humans define work. More specifically, the corporate machine must avoid the frequently disconnected ways business leaders undertake digital transformation efforts. Instead, businesses must approach the transformation of the human workforce in direct collaboration with the existing structural resource mechanisms and with a dedicated focus on a scalable digital footprint.

Creating A Hybrid Digital Workforce

Companies that prioritize the creation of a hybrid human and robot workforce will emerge as front runners in the ever-changing global economic landscape. The commonplace practice of cutting the human workforce at the first signs of a worldwide recession is disruptive and arguably somewhat unethical. In the coming years, corporate strategies aimed at amplifying and acknowledging the value of the human workforce will become more commonplace. However, the workforce will become more human-centric through a massive pivot in the perception of "digital workers" as a supplementary lynchpin of corporate strategy.

Consider the value of a business plan that maximizes human productivity by completely stripping away mundane, repetitive tasks through automation. An automation approach that targets manual tasks as ripe for transformation succeeds on two fronts. Initially, the company will benefit from the significant process insights and increased data quality generated by such automation projects. However, an added benefit is the capacity release of time back to the human workforce to focus on more value-added tasks. Now, the proposal, as mentioned earlier, is scalable in that both rules-based and cognitive capabilities can be added to the repertoire of the digital workforce over time as a transformation effort matures. In addition, leveraging automations that mimic human cognition's structure and logical parsing functionality, such as artificial intelligence and machine learning, can provide additional value to the enterprise at scale.

Reimagining Workforce Reductions

Companies have a fiduciary duty to various stakeholders, which can necessitate a significant reduction of operational expenditures as economic conditions warrant. However, the ideal baseline of a company's approach to minimizing operating costs should not come from drastic workforce reductions. Such activities disrupt the existing cadence of deliverables, reduce company morale, and can even taint the public perception of the company's values and overall stability.

The savvy executive of the future will take a different approach in lieu of layoffs. A digitally minded approach to challenging economic conditions can maximize profits while simultaneously amplifying a focus on corporate responsibility. For example, imagine the benefits of a company's use of a three to five-year phased implementation plan focused on digital staff augmentation. A hybrid workforce with both human and digital workers could seamlessly scale up or down in response to economic conditions as well as mergers and acquisitions.

In addition, a scalable digital workforce could be leveraged to limit the need for widescale resource reductions. For example, rather than deciding to cut thousands of human employees from the workforce to ensure business resilience in troubling times, companies could preemptively avoid operational redundancies by shifting resource growth targets from human workers to digital entities. Although the approach may come off as somewhat daunting in today's human-centric business environment, industry leaders will undoubtedly embrace such a shift in perspective in the next few years. The resulting impact will ensure that massive human workforce reductions at the first signs of a global recession become a thing of the past.

The articles from these contributors are based on their personal expertise and viewpoints, and do not necessarily reflect the opinions of their employers or affiliated organizations.
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