How Will Automation Change Our Jobs?

The report examines AI and automation's effects on jobs, noting productivity gains, job satisfaction improvements, and challenges in reskilling and job transformations. It underscores the importance of ethical considerations and employer support in adapting to these technological advancements.

How Will Automation Change Our Jobs?

Table of Contents


Automation is set to significantly alter the landscape of work. In many industries, routine tasks that are repetitive and rule-based are becoming increasingly automated. This shift promises greater efficiency and accuracy but also presents challenges. Jobs that rely heavily on such tasks may see a reduction in demand, compelling workers to adapt and acquire new skills.

However, automation isn't just about job displacement; it's also about job transformation. It allows employees to focus on more creative and strategic aspects of their work, enhancing productivity and job satisfaction. For example, in a retail setting, while automation handles inventory management and checkout processes, employees can focus on customer service and personalized shopping experiences.

In the future, the synergy between humans and machines will define new roles and responsibilities. The key will be in leveraging automation to complement human skills, fostering a more dynamic and innovative workforce. As automation evolves, it's essential for both employers and employees to embrace continuous learning and adaptability, ensuring a smooth transition into this new era of work.

Key Findings

AI's Workplace Transformation

What common ways has AI and automation reshaped daily work routines?

The integration of Artificial Intelligence (AI) and automation into the workplace has significantly changed how daily tasks are performed. These technologies have streamlined operations across various industries, reshaping work routines in profound ways.

Automation of Routine Tasks: A key transformation is the automation of repetitive tasks. McKinsey's research highlights that activities accounting for 45% of employee time in the U.S. economy could potentially be automated using current technology. Moreover, for about 60% of U.S. jobs, at least 30% of current work activities are automatable. This shift not only boosts efficiency but also enhances job satisfaction by reducing the monotony of routine tasks. 

Data-Driven Decision-Making: AI's ability to process and analyze extensive data sets has revolutionized decision-making processes. By leveraging AI-driven analytics, organizations can make more informed and strategic decisions, often in real-time.

Enhanced Customer Service: AI-driven tools like chatbots and virtual assistants have significantly improved customer service. They provide round-the-clock service and handle routine inquiries efficiently, leading to higher customer satisfaction.

Remote Working and Collaboration: AI has also facilitated remote working and virtual collaboration. Tools that leverage AI for scheduling, project management, and communication are vital for connecting distributed teams.

Challenges in Tech Adaptation

What are typical challenges faced when adapting to AI and automation in the workplace?

The incorporation of Artificial Intelligence (AI) and automation in modern workplaces presents significant challenges, necessitating strategic adaptation in skills, job roles, and organizational culture.

Reskilling and Upskilling Demands: The rapid advancement of AI and automation technologies has precipitated a substantial need for reskilling. According to the World Economic Forum's Future of Work 2023 report, an estimated 50% of all employees globally will require reskilling by 2025 due to the impact of these technologies. Furthermore, a McKinsey Global Survey revealed that 87% of executives were experiencing skill gaps in the workforce or expected them within a few years.

Job Role Transformation: The integration of AI and automation is not just a matter of implementing new technologies; it fundamentally alters job roles and processes. The same McKinsey report predicts that 375 million workers (14% of the global workforce) may need to switch occupational categories by 2030 as digitization, automation, and advances in AI disrupt the world of work.

Cultural and Psychological Resistance: Beyond the logistical and skill-related challenges, there's a significant psychological component to this transition. The McKinsey survey also found that 33% of surveyed organizations found that addressing potential skill gaps related to automation and digitization is a significant challenge, underscoring the need for cultural adaptation within organizations.

Support from Employers

How have companies generally supported employees in adapting to AI and automation?

Employers are actively supporting their employees in adapting to AI and automation, recognizing the importance of these technologies in maintaining competitive business operations.

Training and Reskilling Initiatives: With the rise of AI in the workplace, a substantial focus has been on training and reskilling employees. Deloitte's State of AI in the Enterprise, 2nd Edition, based on a survey of 1,900 IT and business executives, suggests that the integration of AI is changing the nature of job roles and the skills required. This has led to 71% of adopters reporting that AI technologies have already altered their company’s job roles and necessary skills, with 82% believing that AI will lead to moderate or substantial changes in job roles and skills within three years

Overcoming Barriers to AI Adoption: A study by IBM found that around 42% of large organizations have actively deployed AI. However, challenges such as limited AI skills and expertise, data complexity, and ethical concerns are prevalent. To address these, 59% of companies exploring or deploying AI have accelerated their investments in AI in the past 24 months. This indicates a commitment to overcoming barriers and enhancing AI capabilities within the workforce.

Employee Perceptions of AI: Interestingly, a significant majority of employees view AI positively in the context of job performance. A report reveals that 81% of employees believe AI improves their job performance, and 89% think AI could assist them in up to half of their everyday work activities. This reflects a growing recognition of the value of AI in enhancing productivity and efficiency in the workplace.

Career and AI

What are common concerns about job security and career progression with AI and automation?

The integration of AI and automation in the workplace has sparked concerns about job security and career progression. These concerns vary depending on the industry, job type, and demographic factors.

Job Displacement and Reskilling: One of the primary concerns revolves around the risk of job displacement due to automation. Occupations involving routine and repetitive tasks are at a higher risk. For instance, accountants, inspectors, and taxi drivers face an automation risk of 98%, indicating a high probability of these roles being automated. In contrast, jobs that require creativity, emotional intelligence, or advanced STEM skills are less prone to automation, like audiologists and occupational therapists, which have an automation risk below 0.40%. The challenge here is the need for reskilling; employees must adapt to the evolving job market by developing new skills relevant to the AI-driven workplace.

Public Perception and Demographic Impact: Public perception of AI's impact on jobs is mixed. While some view AI as a means to reduce repetitive processes and improve decision-making, others fear job loss. Approximately 47% of U.S. employment faces the risk of computerization in the next two decades. Interestingly, demographic factors play a role too. For instance, black and Latino workers are at a greater risk of job loss due to automation compared to their white counterparts, and women face a 10% higher risk of job loss from automation than men. These statistics highlight the need for inclusive and equitable approaches in managing the transition to an AI-enhanced workforce.

Evolving Job Roles

In what ways are job roles expected to evolve due to AI and automation?

The landscape of job roles is undergoing significant changes due to the advancements in AI and automation. These changes are not only reshaping existing roles but also creating new opportunities.

Shift in Job Responsibilities and Creation of New Roles: Automation and AI are predicted to lead to both job displacement and the creation of new roles. By 2025, it's estimated that automation could eliminate up to 85 million jobs globally. However, this technological evolution is also expected to create about 97 million new jobs, indicating a shift in the types of occupations and skills that will be in demand. This transition is not just about loss but adaptation and evolution of the job market.

Impact on Different Sectors and Job Types: Certain sectors and job types are more susceptible to automation. For instance, around 20 million manufacturing jobs are anticipated to be lost to automation by 2030. Roles that involve repetitive tasks are at a higher risk, while jobs that rely on creativity and interpersonal skills are less prone to automation. This trend highlights the growing importance of human-centric skills and creative problem-solving in the future workforce.

Need for Reskilling and Upskilling: With these shifts, over 120 million global workers may need retraining or upskilling within the next three years. Education and continuous learning are becoming essential to remain relevant in the changing job landscape. Emphasis on creativity, emotional intelligence, and STEM skills will be key to thriving in an AI-driven job market.

Future Skills Demand

Which skills are increasingly important in an AI and automation-driven workplace?

In the AI and automation-driven workplace of 2024, the demand for certain skills is increasing, shaped by the integration of new technologies. This trend is supported by various statistics indicating the changing nature of job roles and the growing importance of specific skill sets.

Hybrid and Remote Work Skills: With the evolving work environment, skills for hybrid and remote work are in high demand. A significant shift towards these models is evident, with statistics showing that 60% of workers in remote-capable jobs prefer a hybrid work schedule, and approximately 30% are looking for remote-only jobs. This data highlights the growing importance of skills related to digital communication, self-motivation, and the ability to work independently.

AI and Digital Transformation Proficiency: As AI becomes more prevalent in the workplace, the skills gap in this area is becoming apparent. A Deloitte report indicates that 68% of executives from early AI adopters report a moderate-to-extreme AI skills gap within their organizations. This statistic underscores the urgent need for upskilling in AI technologies, machine learning, and data analytics, emphasizing the significance of these skills in the current job market.

Sector-Specific Skills: Different industries exhibit varying trends in skill demands. In manufacturing, for example, the need for technological skills, including advanced IT and basic digital skills, is rising. This sector also shows growth in the demand for higher cognitive skills, driven by creativity and complex information processing, a trend supported by McKinsey's research.

Human vs. AI Decision-Making

What is the general sentiment about balancing human and automated decision-making?

The general sentiment about balancing human and automated decision-making, particularly in the context of AI applications in education and workforce, reflects a mix of scepticism and cautious optimism. The use of AI in education raises ethical concerns such as privacy and security issues, loss of human decision-making, and the potential to make humans lazy. While AI offers numerous applications in the education sector, from tutoring to analytics, there is a need for clear ethical guidelines to address issues such as data privacy, bias, and maintaining human roles in the learning process​​.

In the workforce, particularly in hiring practices, there is a noticeable opposition among Americans to the use of AI in making final hiring decisions and tracking employee movements. A Pew Research Center study found that a significant majority, around 66%, of U.S. adults would not want to apply for a job if AI were used to help make hiring decisions. This sentiment is largely driven by concerns that AI lacks the human touch, may introduce its own biases, and could overlook the broader qualities of applicants. Despite these concerns, there are also those who see potential benefits in AI, such as its ability to be more objective and less prejudiced, especially in terms of evaluating skills and ensuring equal treatment of all applicants​​.

AI's Positive Impact

What positive experiences or opportunities have AI and automation brought to the workplace?

Artificial Intelligence (AI) and automation have brought significant positive changes to the workplace, as evidenced by various studies and surveys. 

Increased Productivity: The use of AI has led to noticeable improvements in organizational productivity. A study from found that 72% of respondents who use AI extensively report high organizational productivity, compared to 55% of those who use AI to a limited extent. Additionally, OECD surveys indicated that 57% of employers in finance and 63% in manufacturing reported a positive impact of AI on worker productivity​​​​.

Enhanced Job Satisfaction: The adoption of AI in the workplace has also been linked to greater job satisfaction among employees. According to, 59% of people who use AI report greater job satisfaction. This finding challenges the common fear that AI integration in the workplace could lead to job dissatisfaction​​.

Economic Growth and Job Creation: The introduction of AI and automation is not just about replacing jobs; it's also about creating new opportunities and contributing to economic growth. For instance, the adoption of generative AI could result in productivity gains of between 0.2% and 3.3% annually, thereby balancing a decline in job growth and promoting overall economic growth. In fact, AI-driven productivity is expected to contribute significantly to the global GDP by 2030​​.

AI and Work-Life Balance

How is AI perceived to contribute to work-life balance?

Firstly, AI is increasingly being utilized in various work aspects, from automating repetitive tasks to enhancing decision-making capabilities. A significant number of employees, 81%, believe that AI improves their job performance, and 51% think that using AI at work helps them achieve a better work-life balance. This improvement is linked to AI's ability to handle routine tasks, allowing employees to focus on more meaningful and creative work activities. In addition, 61% reported that AI made their workdays more productive and efficient, indicating that AI not only enhances performance but also contributes to a better work-life balance by reducing the time spent on less rewarding tasks​​.

The adoption of AI in the workplace has also influenced employees' preferences for work arrangements. A recent survey revealed that a significant proportion of workers, 57%, would be willing to accept a pay cut for a four-day workweek if AI could help them complete their work more efficiently. This finding suggests that AI's efficiency gains could translate into reduced work hours while maintaining or even enhancing productivity, thereby contributing to improved work-life balance​​.

However, it's not just the efficiency gains from AI that are impacting work-life balance. The pandemic has forced many companies to adopt flexible working practices and remote work arrangements, emphasizing the importance of maintaining a balance between work and personal life. A Gitnux Blog survey showed that 72% of workers believe work-life balance is a critical factor when choosing a job, while 57% consider a poor work-life balance a dealbreaker. Moreover, employees with a good work-life balance are reported to be 21% more productive, underscoring the importance of achieving this balance for both personal well-being and professional efficiency​​.

Ethical Considerations of AI 

What are the prevailing thoughts on the ethical implications of AI in the workplace?

The ethical implications of Artificial Intelligence (AI) in the workplace are a subject of increasing interest and concern. As AI technologies become more integrated into various work environments, they bring along a range of ethical considerations that must be addressed.

One significant ethical concern relates to AI's impact on job performance and work-life balance. According to a report from BusinessDIT, 81% of employees believe that AI improves their job performance. Furthermore, 51% of employees think that using AI at work aids them in achieving a better work-life balance. This positive perception of AI in enhancing job efficiency and balancing work demands with personal life highlights the potential ethical benefits of AI integration in the workplace.

However, alongside these benefits, there are also concerns about AI's impact on the workforce. For example, the increasing capabilities of AI systems have led to a rise in reported issues related to AI use and misuse, as highlighted by Stanford HAI's report. This includes controversies in AI applications, which have grown 26 times greater in 2021 than in 2012. These issues range from misuse in surveillance to biases in AI algorithms, underscoring the need for ethical guidelines and oversight in AI deployment.


ClanX conducted a survey in January 2024 with 412 participants in different level of management working in the technology, healthcare, automobile, and finance industries, the distribution across different types of organizations is as follows:

The survey included 15 multiple-choice questions and additional subjective questions to gain a deeper understanding of the respondents' perspectives.

This distribution maintains a greater representation from large corporations and growth-stage startups, with the total number of participants set at 412.


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