Positive Effects of AI on Human Jobs and Working Culture

There are concerns that AI poses a threat to job security and workplace cultures. Many professionals are afraid they will be rendered obsolete by robots while leaders fear the effects of AI on their organizational environment. However, AI can be a great digital companion to knowledge workers and positively impact the company cultures in which they are implemented.

In this article, we will explore the impact of AI on the job landscape, how it will affect the future of work, and its influence on company culture. Let’s dive in.

How AI Will Affect the Job Landscape

The 2020 Jobs Report of the World Economic Forum suggests that AI could lower the demand of 85 million jobs of data entry clerks, administrative workers, accountants, and factory workers. However, Forbes and a recent paper published by the MIT Task Force on the Work of the Future paint a much more optimistic picture. They suggest that the AI takeover won’t happen any time soon given the technology’s many limitations including:

• Computation and processing power: The cost of electricity alone to power one supercharged language model AI was estimated at $4.6 million
• “Specialized” intelligence: AI can solve only one problem and execute only one task at a time compared to human’s “generalized” intelligence
• Bias: If biases from societal inequities or the data steward infiltrate the AI data, the bias is likely to carry over to the results generated by the AI

Also on the bright side, AI is predicted to create a massive demand for 97 million knowledge workers as analysts, specialists, professionals, and developers. So, while AI will cause demand for some jobs to diminish, a greater number of jobs will be in higher demand and new employment opportunities will emerge as AI adoption rises.

But perhaps most importantly, the future of work will capitalize on the strengths of both digital and human workers. AI-powered machines are fast, accurate, and consistently rational. Humans are intuitive, emotional, and can think abstractly with critical judgement. Together, AI and humans will create a truly augmented workforce.

How can AI help you at work?

Many jobs are poised to benefit from the introduction of AI as they directly complement and enhance these roles. Let us explore some of these professional positions and how exactly AI can help elevate them.

If you are a sales professional…

Conversational intelligence can help you record, transcribe, and analyze your calls to support closing.

Chorus.ai, a cloud-based conversational intelligence platform, analyses the content of calls, meetings, and emails to help salespeople understand and manage customer conversations and deliver insights to strengthen sales training programs.

Conversational Intelligence can also do the following:

• Share industry knowledge with your peers to add customer voice to product roadmaps
• Facilitate coaching by answering FAQs for learners or new employees post-onboarding
• Build revenue intelligence from customer interactions to support decision making
• Control how creation, collection, processing, and presentation of information to users
• Automate the document collection process in the bank to eliminate the need for a customer visit

If you manage operations in a hospital…

Prescriptive analytics can help you identify the best care options for your patients.

A Jewish General Hospital in Montreal used predictive analytics to identify the best service options for the hospital in terms of quality, access, and cost of care.

Predictive Analytics can also do the following:

• Identify risks of chronic diseases in patients
• Determine legitimacy of financial transactions to prevent frauds and false positives
• Personalize the shopping experience of eCommerce customers through targeted recommendations
• Analyze data to identify security weaknesses in applications or systems
• Forecast the performance of marketing campaigns to select the best approach

If you are an investment manager…

Robo-advisors can help you identify the best investment options based on risk tolerance and desired control to build strong portfolios.

Robo-advising is used by banks and financial institutions to:

• Select funds based on their tax consequences to minimize tax implications
• Assess the spending ability of customers to suggest options based on their financial goals
• Project performance of funds invested by a user based on historical market data

If you are a cybersecurity professional…

Machine learning can help you enhance endpoint protection using an ML model trained by records of daily events.

Machine learning can be used for a variety of tasks are work such as:

• Monitor and classify emails to find valuable insights related to specific areas
• Optimize customer journeys by building customer personas using their personal and lifestyle data
• Analyze consumer sentiments on social media to understand their emotions
• Optimize transportation routes to reduce costs and avoid delays in transit

If you are a human resource professional…

Deep learning can help you identify and classify job applicants based on their knowledge, experience, education, behavior, etc.

Deep Learning can also help in the following areas:

• Analyzing medical images with accuracy for diagnosis
• Detect and track people roaming in a retail store to understand their experience
• Detect vehicles to perform traffic analysis for transportation

AI-Driven Working Culture

AI creates many new and exciting opportunities in the professional landscape. However, AI can only give its best when humans use AI systems properly. This calls for an organizational shift to make room for AI adoption across the workplace. What will the working culture of your organization look like?

Major areas where you will see your culture changing with AI adoption are:

Learning and Development: Training and coaching will not be repetitive and boring but tailored to your aptitudes and performance. High performers in your organization will find opportunities to share learning, while those performing below average will get coaching nudges for improvement.

Hiring and Selection: Filtering out candidates who are not the right fit will be easier, helping boost productivity. Some candidates who are easy to assess on some objective parameters might not even come to you as your AI assistant will handle the first-level interactions with them. In fact, 75% of resumes are rejected by an automated applicant tracking system (ATS) before they even reach a human being.

Team Collaboration: AI requires much collaboration across roles and teams. You will know more about your colleagues than just their profiles and designations, which will help you build connections. You could share your education, working history, ethnic background, or general interests with them. Once discovered, your connections will grow stronger, improving collaboration between people working in teams.

Data Literacy: An AI-drive organization needs its people to be data-literate irrespective of the project they are working on. Decisions must be made based on data and not on instincts. People must understand the conversations surrounding data and learn how to put data to use.

Knowledge Management: Knowledge sharing mostly happened in board rooms where leaders meet or training rooms where coaches guide learners. However, an AI-driven organization demands everyone to be a part of the sharing process. Learning cannot be a one-time exercise but a continuous process of development.

AI-Powered Workforces of Tomorrow

AI is transforming the way we work as individuals and as a team. Many roles stand to greatly benefit from AI including those in healthcare, technology, and human resources. Artificial intelligence has potential to improve traditional working cultures by increasing collaboration, data literacy, and learning and development. Beyond that, AI presents a great opportunity to upskill. The ability to interact with artificial intelligence is a highly sought-after skill—AI or machine-learning skills are expected to increase by 71% in the next five years.

Although there is some acquiescence surrounding this emerging technology, data proves that it’s here to stay—90% of leading businesses already have ongoing investment in AI technologies. Unlocking AI’s many competitive advantages begins with embracing it. You cannot beat the combination of artificial and human intelligence for productivity, accuracy, and ingenuity, so you might as well join in!

Apexon helps enterprises maximize the value of complex data ecosystems with its advanced analytics and AI services. We tailor these solutions to your needs to create practical applications that provide the insights needed to enhance customer experiences, accelerate product lifecycles, improve resource allocation, and increase operating efficiencies. To learn more about adopting augmented reality, check out Apexon’s AI services today or get in touch using the form below.