Decoding FOBO: Understanding AI-Powered Occupational Changes and Employers' Challenges in Choosing the Best Course of Action for Ongoing Improvement

In 2023, Cengage, a well-known education and technology company, coined the term "FOBO," which stands for "fear of becoming obsolete." Patrick McGinnis coined the phrase "FOMO," or "the fear of missing out," in 2004. It was developed to explain why workers worry that new technologies, such as artificial intelligence (AI), will render their skills obsolete. The fear of missing out on opportunities and trends is known as FOMO.

The Fear of Being Obsolete, or FOBO, is a significant barrier to decision-making in an age where artificial intelligence seems to offer limitless possibilities. This comprehensive guide examines the impact of FOBO on HR and employment in the AI era using a combination of historical context, expert viewpoints, psychological research, and first-hand experiences.

Through an analysis of FOBO's roots in concerns about how technological advancements could make some jobs or skills outdated, the guide explores the possible consequences for worker well-being and productivity. Employers and employees can use a variety of strategies, such as upskilling, fostering agile cultures, and placing a strong emphasis on mental health, in addition to developing non-automatable skills, accepting lifelong learning, and adapting to changing work environments.

AI and Job Anxiety: How Workers Fear Losing Their Relevance in the Age of Automation

Concerns regarding the obsolescence of jobs due to artificial intelligence are illuminated in the provided articles. 22% of American workers fear that technological advancements will render their jobs obsolete, a notable increase according to the Gallup poll. Compared to 2021, this is an increase of 7 points. It is interesting to note that this trend is more noticeable among workers with college degrees, particularly those who make less than $100,000 annually and are between the ages of 18 and 34. Global issues are also highlighted in the CNBC/SurveyMonkey Workforce Survey, where workers in Brazil, China, and India show higher than average anxiety levels. These results demonstrate how important it is to assuage concerns about AI among various demographic groups to adequately prepare the labor force.

According to the CNBC/SurveyMonkey Workforce Survey, a growing number of American workers (24%) are concerned that AI will make their jobs obsolete. Depending on the demographic, different concerns apply. Employees who are younger, of color, and have lower incomes tend to express more anxiety. The poll indicates that younger workers (32% of those in the 18–24 age range) and older workers (14% of those in the 65+ age range) have quite different concerns. Those who earn less than $50,000 and those who earn more than $50,000 (16%) have different concerns. A greater percentage of remote workers (54%) than in-person workers (38%), anticipate job changes as a result of AI disruptions. Out of all industries, business support/logistics and advertising and marketing exhibit the highest level of concern (46%). Despite not being directly affected by AI, the survey findings indicate that workers are nonetheless shaken, emphasizing the criticality of developing adaptable skills to maintain competitiveness in an evolving labor market.

FOBO and AI Psychology: How Decision-Making Is Affected by Fear of Becoming Obsolete

Particularly in the age of sophisticated computing, FOBO, or the Fear of Becoming Obsolete, shows up in decision-making as a propensity to put things off or worry about falling behind. Consider how difficult it is to decide between various technological advancements while simultaneously worrying that one's favorite technology may become less common or valuable. This provides an analogy.

FOBO is not new; Daniel Kahneman's analysis of it reveals its pervasive influence, particularly in the context of the deluge of options enabled by artificial intelligence. This situation introduces complexity into decision-making, essentially encapsulating the idea of FOBO. It can be compared to the difficulty of choosing a video game from a wide array.

Even though making decisions is fundamentally important, there is now more complexity because of the development of extremely intelligent computers. FOBO has the potential to cause anxiety and affect decision satisfaction. An example of how this concern is related to FOBO is the concern that one's social standing could be negatively impacted by one's inability to play the newest games.

Daniel Kahneman explains how the brain makes decisions using two different processes: quick, gut-instinct-driven reactions and deliberate, slow thinking. Both processes are upset by FOBO, which reduces the effectiveness of quick decisions in stressful situations (e.g., choosing snacks) and introduces uncertainty into thoughtful decisions in anxious situations (e.g., solving lengthy puzzles).

Developing adaptive strategies, believing in self-improvement, asking for guidance, accepting uncertainty, skilled emotional intelligence and regulation, and finding the best possible balance between making decisions quickly and carefully are all necessary for navigating these obstacles. These techniques help to improve the effectiveness of decision-making even in the face of worries about the potential applications of extremely intelligent computers.

AI and Work Satisfaction: How Technology Can Improve Productivity and Well-Being

The research by Georgieff and Hyee titled "The Impact of AI on Job Satisfaction" provides insightful information, but it is important to be aware of its limitations and take the bigger picture of job happiness into account.

The study is cross-sectional, which means it only looks at data as it is at one particular moment in time. This is one of its limitations. A one-time measurement may not adequately capture the changing nature of attitudes toward AI over time, as job satisfaction is a dynamic aspect influenced by a variety of factors. The relationship between the adoption of AI and long-term job satisfaction may be better understood through longitudinal research.

Furthermore, the research depends on participants' subjective answers. The subjective nature of job satisfaction is influenced by personal experiences, attitudes, and perceptions. Although self-reported data provides insight into people's emotions, it might not always match up with impartial evaluations of work performance or general well-being. Self-reporting combined with objective metrics may provide a more thorough understanding of the connection between AI and work satisfaction.

These limitations have important ramifications. Given that job satisfaction is a complex concept influenced by a wide range of factors other than the use of AI, decision-makers should proceed with caution when interpreting the study's findings. Businesses thinking about integrating AI should add qualitative insights to quantitative data to create a more comprehensive picture of workers' experiences.

In addition, the study suggests that more investigation and innovative thinking are required to develop and deploy AI systems that improve and maintain job satisfaction. It draws attention to how dynamic job satisfaction is and how AI is changing the workplace. In response to changing workforce dynamics and continual feedback, organizations should be proactive in modifying their AI implementations.

Conclusively, the study conducted by Georgieff and Hyee highlights the positive association between the utilization of AI and job satisfaction; however, it is imperative to recognize its constraints. Companies can utilize these insights as a basis for well-informed decision-making, highlighting ongoing research and flexible approaches in the integration of AI to promote long-term job satisfaction, given that they acknowledge the dynamic and subjective nature of job satisfaction.

The HR industry has been profoundly impacted by artificial intelligence (AI), as noted by veteran human resources specialist Dave Ulrich. Georgieff and Hyee's research supports this idea by illuminating the potential benefits and challenges that human resources may face in the AI era.

Employers and employees alike can utilize proactive strategies for navigating FOBO in the age of AI, as this conclusion moves from the descriptive and analytical aspects of FOBO and AI to their prescriptive and practical counterparts. AIHR, a leading online platform for AI and HR professionals, says that employers should put an emphasis on skill development and create an agile culture. Employees are encouraged to adopt a lifelong learning mindset and acquire non-automated skills at the same time. These tactics work, as demonstrated by Tara Hutchinson's success story, a resilient worker who thrives in changing work environments.

Key Takeaways:

FOBO has become an integral component of decision-making in various domains, and its importance has increased significantly in the age of AI's limitless opportunities and challenges.

? HR is currently undergoing a significant paradigm shift driven by AI optimization, which presents a range of prospects and obstacles. ? The influence of AI on job satisfaction is complex, influenced by various factors including the type, quality, and purpose of the AI, as well as the individual attributes and perspectives of employees. Human resources professionals have the responsibility to adapt AI responsibly, ensuring that it is utilized equitably and beneficially. Proactive strategies, including but not limited to lifelong learning, upskilling initiatives, fostering agile organizational cultures, and developing non-automatable skills, have the potential to benefit both employers and employees. These strategic methodologies function as efficacious instruments for managing the "Foot-on-Board" dilemma in the era of artificial intelligence, overcoming concerns, and wholeheartedly embracing the innumerable opportunities and advantages that AI introduces into the fore.

References

1. Katsenelinboigen, A., & Vinitsky, V. (2021). Decision Making: a Theoretical Review. Integrative Psychological and Behavioral Science, 55(1), 83–104. https://link.springer.com/article/10.1007/s12124-021-09669-x

2. Decision-Making | Psychology Today. https://www.psychologytoday.com/us/basics/decision-making

3. Kahneman, D. (Ed.). (2021). Theoretical Perspectives on Decision Making. Springer. https://link.springer.com/chapter/10.1007/978-3-030-74675-9_6

4. Problem Solving and Decision Making - Psychology - Oxford Bibliographies. https://www.oxfordbibliographies.com/abstract/document/obo-9780199828340/obo-9780199828340-0246.xml

5. Empirical Studies on Advice-Based Decisions. https://psycnet.apa.org/fulltext/2023-35361-001.html

6. 20 AI Experts You Should Follow - Springboard. https://www.springboard.com/blog/data-science/ai-machine-learning-experts-to-follow/

7. Top 12 AI Leaders and Researchers You Should Know in 2024 - Great Learning. https://www.mygreatlearning.com/blog/ai-researchers-and-leaders/

8. Top 10 AI Experts To Watch In 2021 - Warner Communications. https://warnerpr.com/top-10-ai-experts-to-watch-in-2021-2/

9. Impact of Technology on the Workplace: 2024 Report. https://tech.co/news/impact-technology-workplace-report-2024

10. Artificial Intelligence and Employment - OECD. https://www.oecd.org/future-of-work/reports-and-data/AI-Employment-brief-2021.pdf

11. Employee Perceptions of the Effective Adoption of AI Principles - Springer. https://link.springer.com/article/10.1007/s10551-022-05051-y

12. Working with AI: Can Stress Bring Happiness? - Service Business - Springer. https://link.springer.com/article/10.1007/s11628-022-00514-8

13. The 10 Most Influential HR Practitioners - SmartRecruiters. https://www.smartrecruiters.com/blog/the-10-most-influential-hr-practitioners/

14. 68 Top HR Experts To Learn From In 2024 - People Managing People. https://peoplemanagingpeople.com/personal-development/hr-career/hr-experts/

15. 20 Most Influential HR Leaders - SoftwareSuggest. https://www.softwaresuggest.com/blog/top-hr-managers/

16. 171 HR Consulting Business Name Ideas to Get Hired Fast. https://www.soocial.com/hr-consulting-business-names/

17. 7 Heartwarming Employee Stories You Won’t Believe. https://www.greatplacetowork.com/resources/blog/10-heartwarming-employee-stories-from-people-companies-that-care

18. Sharing Employee Stories: An Inside Look at Company Culture. https://everyonesocial.com/blog/sharing-employee-stories/

19. 6 Employee Success Story Templates (+6 Bonus Options). https://vocalvideo.com/resources/employee-success-story-template/

20. 9 Winning Employee Testimonial Examples to Inspire You. https://www.aihr.com/blog/employee-testimonial-examples/

21. Job Titles for Human Resources: The 2024 List - AIHR. https://www.aihr.com/blog/job-titles-for-human-resources/

22. The Top 40 Job Titles in Human Resources - Ongig Blog. https://blog.ongig.com/job-titles/human-resources-job-titles/

23. 530 Inspiring Human Resource Name Ideas for Pro HRs - Names Frog. https://namesfrog.com/human-resource-names/

24. HR Strategist: Purpose, Role and Personality - HRM Handbook. https://hrmhandbook.com/hrm/strategy/strategist/

25. Top HR Professionals, Leaders and Influencers List 2022 - Xobin. https://xobin.com/blog/top-hr-professionals-influencers-2022/

26. What Is a Careers Consultant? - Indeed.com . https://www.indeed.com/career-advice/finding-a-job/careers-consultant

27. How to Get Help From a Career Counselor - The Balance. [https://www.thebalancem oney.com/do-you-need-a-career-counselor-525476](https://www.thebalancemoney.com/do-you-need-a-career-counselor-525476)

28. 18 Consulting Titles With Job Descriptions and Average Salaries - Indeed. https://www.indeed.com/career-advice/career-development/consulting-titles

29. What Is Career Development? Types, Steps, and Career Tips. https://www.upwork.com/resources/what-is-career-development

30. SSRN. https://doi.org/10.2139/SSRN.3368605

31. Saric, I. (2023, September 14). New office lingo: FOBO hits American workers. Axios. Link to the article on Axios.