The Future of Work: Navigating Change with EOR Solutions

Executive Summary: Embracing Change in the Workplace

Generative Artificial Intelligence (GAI) is transforming the workplace. Employee expectations are evolving, and businesses must adapt. Leading companies are restructuring their operations, workforce, and outsourcing strategies to meet these new demands.

As the CEO of EOR Solutions, a division of Ethical AI Ltd, I focus on how these changes impact senior management. My interest was piqued by a recent incident at Heathrow Airport. The CEO's decision to return to bed during a crisis highlighted the importance of effective management during out-of-hours operations. In this blog, I will explore key trends and their implications for 24-hour operations.

Impactful Trends: The Shift in Business Operations

Hybrid work models and the rise of generative AI are reshaping how we work. Employee well-being is now a priority, and the need for 24-hour operations is more critical than ever. The US often sets the tone for the UK. For instance, AI-related jobs in software development and customer service have seen a 6% decline among younger workers from 2022 to 2025, and this trend is accelerating. Source: [1]

Moreover, 10-12% of US companies using AI have already reduced their workforce, with 25% more planning to do so. Source: [2] Surveys reveal that 70% of Gen Z and Millennials are reluctant to work outside traditional hours. Additionally, 75% would accept lower salaries for more personal time. Source: [3] These statistics indicate a significant shift in work patterns that will continue to evolve over the next five years.

Opportunities Arising: Enhancing Efficiency

The changing landscape presents opportunities for efficiency. Businesses can improve operations by revising core and non-core processes, reducing staffing levels, and restructuring various roles. This may involve renegotiating or cancelling outsourcing contracts to enhance operational efficiency.

However, these changes may face resistance from trade unions and could lead to reputational risks if not handled ethically. An alternative approach is to outsource non-core tasks, although this isn't always practical for essential functions. Many outsourcing contracts rely on low-skilled workers, whose roles may be replaced by AI. This shift could impact the business outlook for outsourcing companies.

Skilled employees, particularly those with a willingness to learn, will likely become more productive. Conversely, those who struggle may need to be let go. The potential for AI to replace low-skilled workers and less capable high-skilled staff presents a unique opportunity for businesses to reduce costs significantly.

To navigate this transition without negative market reactions, a new business model is essential. EOR Solutions offers a solution that involves ring-fencing certain tasks, whether performed by employees or outsourced workers. We can adjust the workforce as needed to complete these tasks without generating negative publicity for our clients.

The Role of EOR Solutions: Your Partner in Staffing

At EOR Solutions, we understand the challenges of managing both international and out-of-hours operations. Our approach focuses on employing individuals for specific tasks. inside and outside regular business hours. This strategy allows us to maintain a skilled workforce while ensuring that our clients can focus on their core business growth without nighttime disruptions.

If you're interested in learning more about how we can support your business, please visit our website. We have a brief, two-page document that outlines our services and how we achieve operational efficiency. Alternatively, feel free to call me directly. My personal number is available on our contact page, and I am always happy to respond to your inquiries.

In conclusion, the future of work is here, and it demands a proactive approach. By embracing change and partnering with EOR Solutions, businesses can navigate these challenges effectively and thrive in a rapidly evolving landscape.

[1] Source: Stanford Digital Economy Lab.

[2] US Federal Reserve Banks survey.

[3] e.g. Forrester report, May 2025.