How AI is Redefining Job Requirements and Skills: 4 Skills You Need For the Future

Written By: Eric Kimberling
Date: May 17, 2024

The integration of artificial intelligence (AI) into the workplace is transforming job requirements and redefining essential skills for the future. As AI continues to advance, its impact on the labor market will be profound, necessitating a shift in the skill sets required for various roles. Here, we explore the implications of AI on employment and the competencies that will become increasingly crucial.

The Changing Landscape of Job Requirements

One of the most significant changes AI will bring to the workforce is the shift in the average employable IQ. Currently, the average employable IQ hovers around 73, a standard set by the U.S. Army. However, as AI, machine learning, and automation become more prevalent, many roles that typically require an IQ between 73 and 90 will be phased out. This shift means that the new baseline for employability will rise to an IQ in the mid-90s, aligning with the current mean IQ in the West.

This transition implies that entry-level positions will no longer be accessible to those with lower IQs, as the demand for more abstract thinking and problem-solving abilities increases. Individuals will need to think several steps ahead, much like playing chess instead of checkers, and possess significant communication skills, both verbal and written.

Essential Skills for the Future

As AI transforms the workplace, several key skills will become indispensable:

  1. Communication Skills: The ability to communicate effectively with both humans and AI systems will be paramount. This includes not only speaking and writing clearly but also interpreting and conveying complex information in a way that is easily understood.
  2. Digital Fluency: Familiarity with digital tools and platforms will be essential. Workers will need to navigate, manage, and utilize various digital resources to perform their tasks efficiently.
  3. Abstract Thinking: The capacity to understand and manipulate abstract concepts will be increasingly important. This skill allows individuals to foresee potential outcomes and plan strategically.
  4. Problem-Solving Abilities: Quick and efficient problem-solving will be crucial as the pace of work accelerates. Employees will need to identify issues, analyze data, and implement solutions rapidly.

Unified Namespace: Streamlining Information Access

A crucial development aiding this transition is the concept of the Unified Namespace (UNS). UNS is an architecture that organizes all business data into a single, semantically structured framework. This structure allows for easy retrieval and manipulation of data, which is critical for diagnosing and solving problems without unnecessary delays.

Developed to handle vast amounts of data, the UNS framework ensures that all information—ranging from IO data points to active work orders—is coalesced into a single source of truth. This centralized system simplifies access to current state information and fully normalized data, providing a comprehensive view of operations at any given moment.

UNS leverages technologies like MQTT, a lightweight messaging protocol, to facilitate real-time data exchange across various software systems. This integration allows for seamless communication and data flow within an organization, enhancing decision-making and operational efficiency.

The Importance of Data Access

Access to data remains a critical issue in manufacturing and other industries. Surveys indicate that 91% of respondents in manufacturing highlight a lack of access to necessary data as their biggest challenge. This deficiency significantly hinders their ability to perform their jobs effectively. Workers often struggle to obtain real-time information, leading to delays and inefficiencies that can impact overall productivity.

The lack of data accessibility underscores the urgent need for robust data management systems like Unified Namespace (UNS). UNS provides a structured and centralized framework that organizes all business data, making it easily retrievable and manipulable. By capturing and integrating data from various sources, UNS ensures that employees have immediate access to the information they need, facilitating quicker decision-making and problem-solving.

Organizations that prioritize data accessibility and implement unified data architectures will be better positioned to adapt to AI-driven changes. These systems streamline operations by eliminating data silos and promoting seamless communication across departments. This not only enhances operational efficiency but also reduces the time required to diagnose and address issues.

Robust data management empowers employees by providing them with the necessary tools to excel in their roles. With real-time access to comprehensive data, workers can make informed decisions, anticipate problems, and implement solutions more effectively. As AI continues to evolve, having a unified data architecture like UNS will be crucial for organizations aiming to maintain a competitive edge and drive innovation.

Conclusion: AI in the Workforce

The rise of AI is set to reshape the workforce, elevating the requirements for employability and emphasizing skills such as communication, digital fluency, abstract thinking, and problem-solving. Implementing frameworks like Unified Namespace can address data access challenges and enhance overall efficiency. As we move forward, adapting to these changes and acquiring the necessary skills will be crucial for thriving in the evolving job market.

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Kimberling Eric Blue Backgroundv2
Eric Kimberling

Eric is known globally as a thought leader in the ERP consulting space. He has helped hundreds of high-profile enterprises worldwide with their technology initiatives, including Nucor Steel, Fisher and Paykel Healthcare, Kodak, Coors, Boeing, and Duke Energy. He has helped manage ERP implementations and reengineer global supply chains across the world.

Author:
Eric Kimberling
Eric is known globally as a thought leader in the ERP consulting space. He has helped hundreds of high-profile enterprises worldwide with their technology initiatives, including Nucor Steel, Fisher and Paykel Healthcare, Kodak, Coors, Boeing, and Duke Energy. He has helped manage ERP implementations and reengineer global supply chains across the world.
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