AI in the Workplace: Redefining Professional Skills in 2024

Artificial Intelligence (AI) has transformed the workplace, ushering in what is now known as the Fourth Industrial Revolution. While we are still in the early stages of Artificial Narrow Intelligence (ANI), AI is expected to continue advancing rapidly, ultimately surpassing human capabilities in various areas. Many organizations have already embraced AI and have seen notable improvements in employee productivity and innovation.

However, there are still numerous companies that have yet to adopt AI technologies. For those companies to remain competitive in this fastly-evolving landscape, it is imperative that they adapt and invest in upskilling their workforce. If they fail to do so, they risk going the way of Blockbuster, which couldn't keep pace with the rise of streaming services like Netflix and ultimately went out of business due to their inability to innovate.

On this page:

• Understanding AI's Growing Role in the Workplace
• AI's Current Impact on Jobs and Employee Concerns
• The Skills Shift: Adapting to an AI-Driven Workplace
• 7 Types of AI Used In the Workplace
• AI Integration Use Cases
• How Future Advancements in AI Could Impact the Workforce
• Conclusion

Understanding AI’s Growing Role in the Workplace

AI is making massive inroads into workplaces across every industry sector. It's no longer just a conceptual idea - artificial intelligence is being woven into the core day-to-day operations of organizations. And corporate leaders are betting big that AI will be a game-changer, with the potential to fundamentally transform business processes, drive cutting-edge innovations, amplify efficiencies, and ultimately boost revenues.

As AI becomes more advanced, humans will likely transition away from repetitive tasks and focus more on finalizing projects and communicating insights.

Skills AI Could Automate or Augment:

• Language translation
• Data entry and processing
• Customer service inquiries (chatbots/virtual assistants)
• Content writing/copywriting (using generative AI models)
• Statistical analysis and reporting
• Basic computer programming/coding tasks
• Routine quality assurance testing

Another example, ChatGPT and Copilot are invaluable tools that can quickly generate code for software engineers. AI can also help with decision-making by analyzing data and providing personalized recommendations tailored to individual customers. This allows humans to concentrate on the final analysis, communication, and practical application of the AI-generated insights.

The enthusiasm businesses have for using AI, machine learning, and data science is backed by compelling data. A Forbes Advisor study revealed a striking statistic - nearly two-thirds of companies, 64% to be precise, believe that implementing AI will lead to increased employee productivity levels.

This optimism is further reinforced by generative AI's prowess in swiftly producing high-quality digital assets like graphics and multimedia content, translating to substantial time and cost savings. It's no surprise then that an overwhelming 97% of business owners anticipate that ChatGPT and similar generative AI technologies will deliver tangible benefits to their organizations.

AI’s Current Impact on Jobs and Employee Concerns

While research suggests AI could spawn millions of new employment opportunities, a disconnect persists - workers globally are bracing for the opposite scenario of potential job losses. The reality is, AI will almost certainly make some current jobs obsolete down the line. But we're also projected to see around 97 million brand new jobs created by AI technology as soon as 2025.

No, the rise of AI isn't automatically going to wipe out millions of jobs - that's an overblown fear. What we're facing is a massive upheaval for the entire workforce. Employers are going to be hungry for a completely new skills set from workers – create a whole new category of roles and responsibilities that we can't fully grasp yet. This seismic shift will fundamentally redefine how we approach work in the decades ahead.

For workers, this dichotomy sparks justifiable anxiety. Losing your job to automation is a scary prospect. But the rise of AI also presents immense opportunities for those proactively upskilling to meet the AI-driven workforce demands of the future. While uncertainty looms, there's also unprecedented potential if businesses and employees can thoughtfully navigate this transition. However, it's important to keep in mind that most jobs will simply be augmented by AI capabilities, instead of being replaced, at least for the foreseeable future.

The Skills Shift: Adapting to an AI-Driven Workplace

Organizations always look for ways to save money and increase employee productivity, and AI has become one of the best ways to achieve this. While AI raises employee concerns about job security, this is also an opportunity for upskilling and reskilling. According to a report by IBM, 25% companies have adopted AI to address labor shortages. Rather than worry about whether AI will replace them, employees should take this as an opportunity to adapt and integrate AI into their jobs.

Because AI responds to input data, learning “prompt engineering," which produces the desired result for a task, will be an essential skill for employees to acquire to work with AI effectively and efficiently. However, the onus to learn these skills shouldn’t be on employees—organizations need to invest in employee development to help them adapt to the changes AI brings to their jobs. It is more critical than ever that organizations foster a culture of continuous learning and innovation as the speed of technological evolution increases.

Most AI deployments are still growing, so workers learning to integrate AI skills into their job roles can enhance their value to employers instead of being replaced.

7 Types of AI Used In the Workplace

Organizations can leverage AI to optimize various aspects of their operations, make data-driven decisions, and enhance overall performance. By utilizing AI technologies, companies can automate repetitive tasks, analyze vast amounts of data to uncover insights, personalize customer experiences, and adapt to changing market dynamics. Here’s a list of 7 common types of AI that organizations can deploy to gain a competitive edge:

1. Chatbots and Conversational AI: Used for customer service, support, and engagement, helping businesses improve customer experience and reduce costs.
2. Predictive Analytics: Enables businesses to analyze historical data, identify patterns, and make predictions about future trends, customer behavior, and market dynamics.
3. Recommendation Systems: Help businesses personalize product or content recommendations, increasing customer engagement, loyalty, and sales.
4. Robotic Process Automation (RPA): Automates repetitive and manual tasks, enhancing efficiency, accuracy, and cost-effectiveness in various business processes.
5. Natural Language Processing (NLP): Powers sentiment analysis, content moderation, and text analytics, helping businesses gain insights from unstructured data and improve decision-making.
6. Computer Vision: Used for visual inspection, quality control, and surveillance in industries like manufacturing, retail, and security.
7. Machine Learning (ML) for Business Intelligence: Enables businesses to analyze large volumes of data, identify patterns, and gain actionable insights to optimize operations, reduce risks, and improve strategic decision-making.

AI Integration Use Cases

If you're wondering how AI can be successfully integrated, let’s look at some examples of AI use cases across different departments in an example organization:

Manufacturing

AI-powered predictive maintenance systems play a crucial role in ensuring operational efficiency by analyzing data from sensors and equipment to forecast potential equipment failures, reducing the need for manual maintenance checks. Using forecasting to pinpoint potential equipment failures will allow maintenance workers and engineers to proactively prevent equipment issues that can lead to costly downtime, thus increasing production and revenue.

Human Resources and Employee Training

AI’s ability to quickly analyze vast amounts of data helps HR leaders screen resumes and match candidates to positions more efficiently. By automating manual processes, HR leaders can spend more time focusing on strategic initiatives that lead to a more agile workforce. Not only can AI speed up the recruiting process, but it can also help with employee learning and development.

Learning and Development teams, leveraging AI, can create customize training based on individual learning styles and performance metrics. Custom learning programs help employees acquire new skills quickly, enhancing their job performance and adaptability in an ever-evolving technology and business landscape.

IT and Cybersecurity

One of the most significant concerns of IT professionals is the threat of a successful cyberattack, allowing cybercriminals to access confidential business and customer data. Successful security breaches can be extremely costly to an organization. It takes time for an organization to cultivate a good reputation with its customers, but that reputation can evaporate overnight if a data breach puts customers and partners at risk.

AI can be an integral part of IT security as it can analyze patterns and anomalies in network traffic and user behavior. Through its analysis, AI can identify potential breaches and mitigate risks before they escalate, enhancing an organization’s data security. With AI’s help, IT professionals can focus on more strategic tasks such as threat analysis and incident response.

How Future Advancements in AI Could Reshape the Workforce

The development of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI) is expected to significantly impact the workforce. AGI, which could arrive within 5-10 years, can perform any intellectual task that a human can, potentially automating jobs across various industries.

A study by the University of Oxford suggests that 47% of U.S. jobs could be at risk of automation in the next two decades. However, AGI could also create new opportunities in AI development, maintenance, and industries leveraging AGI for innovation.

Despite job displacement, humans will maintain relevance in an AGI-driven workforce through:

• Emotional intelligence and interpersonal skills
• Creativity and innovation
• Critical thinking and decision-making
• Adaptability and continuous learning
• Ethical oversight and governance: Ensuring AGI is developed and used responsibly
• Domain expertise: Providing context and guidance for AGI systems in specific fields

The timeline for ASI, which surpasses human intelligence in virtually all domains, is more uncertain but could be 20+ years away. ASI could lead to unprecedented automation and job displacement across nearly all sectors. However, it could also drive tremendous advancements in various fields.

In an ASI-driven world, humans may maintain relevance through:

• Governance and ethics
• Collaboration and symbiosis
• Pursuing uniquely human experiences
• Adapting to new roles
• Defining goals and objectives: Setting the direction for ASI systems to pursue
• Human-machine interface: Designing and managing the interaction between humans and ASI

According to a report by the World Economic Forum, 65% of children entering primary school today will ultimately end up working in completely new job types that don't yet exist. Ultimately, the impact of AGI and ASI on the workforce will depend on how we prepare for and adapt to these technological advancements.

Conclusion

As AI evolves and drives innovation, it is essential for organizations and employees to embrace its transformative potential. Embracing AI's integration provides organizations and employees unprecedented opportunities to enhance productivity, efficiency, and competitiveness. Organizations and employees need to commit to a culture of continuous learning and adaptability to realize all the benefits of AI.

As discussions about AI occur within your organization, everyone needs to be a part of the discussion, as everyone has a role in creating a culture of innovation. You can increase your knowledge of AI by pursuing the AI for Business Professionals (AIBIZ™) Certification, which will teach you foundational knowledge of AI concepts, technologies, algorithms, and applications. Training with New Horizons will help you demystify generative AI, helping you achieve real-world business goals that will elevate your organization.