Bridget Chipungu-Chimbga
Many companies have not developed a formal artificial intelligence (AI) strategy, but the technology is quietly making its way into their workflows, transforming processes and operations.
According to new data from Microsoft’s 2024 work trend index (WTI), almost three-quarters of workers have used AI for work, often on their own initiative and devices.
This highlights the rapid advancement of AI and its growing influence across industries.
In a move that highlights the growing focus on artificial intelligence accessibility, Microsoft unveiled new computers recently.
These PCs seamlessly integrate the company’s AI technology, marking a significant step forward in bringing AI tools to everyday users.
By integrating AI directly into hardware, Microsoft aims to make AI tools faster and more accessible, potentially swaying consumer preference towards their PCs.
The integration of AI in the workplace has ushered in a new trend known as Bring Your Own Artificial Intelligence (BYOAI).
This emerging practice involves employees utilising their personal AI tools and applications within a professional setting.
BYOAI is happening across organisations because many employees are not willing to wait for their employers to provide the tools to them.
Employees are readily embracing AI, but often without clear guidance from their employers.
Fear of repercussions is driving some to adopt AI tools under the radar.
This necessitates a shift in management’s perspective.
Instead of questioning AI’s relevance, leaders need to proactively define its role within the organisation.
The rise of AI challenges traditional management structures built solely around human intelligence.
Historically, performance was often measured through deliverables like emails, reports and presentations.
However, with AI readily available, these outputs no longer reliably reflect effort, expertise, or dedication.
A middle manager’s meticulously crafted report may not necessarily showcase their project oversight or problem – solving skills.
With AI assistance, anyone can generate polished work that fulfils formal requirements without genuine effort or independent thought.
The rise of AI presents a significant challenge to traditional management practices.
With AI capable of generating reports, emails and presentations indistinguishable from human-created content, how can managers accurately assess employee contributions and value?
This is particularly true in bureaucratic organisations where AI can automate mountains of paperwork.
However, it also forces us to question the very purpose of such paperwork in the first place.
AI can automate repetitive tasks, streamline processes and boost efficiency.
It can also be used for predictive maintenance, quality control, customer service through chatbots, data analysis, personalised marketing and much more.
Additionally, AI can optimise supply chains, improve HR functions and drive innovation in product development.
AI’s capabilities in summarisation, and customisation make it a powerful tool for coaching and mentoring.
Imagine AI providing personalised feedback, helping employees navigate complex situations, and offering guidance tailored to individual needs and learning styles.
AI could even observe an employee’s work and offer constructive comments.
While some worry about job security, surveys reveal a growing acceptance of AI tools.
Tools like Microsoft’s Copilot act as helpful assistants, automating mundane tasks and freeing employees to focus on the fulfilling and strategic aspects of their jobs.
Organisations that embrace this shift and modernise workflows alongside AI can unlock a new level of efficiency and employee satisfaction.
The new model of management requires a delicate balancing act: using AI to empower and support employees while respecting their autonomy and privacy.
A strategic response from managers is crucial.
Waiting and relying on traditional consultant or committee approaches won’t suffice.
To navigate the future of work with AI, both leaders and employees need to reflect on the deeper purpose and meaning of their work.
Thoughtful organisations can find answers to these questions, but many are currently failing to grapple with the ethical and practical implications of AI adoption, which often happens under the radar.
To effectively leverage AI, companies should develop a clear strategy that includes identifying areas for automation, employee training, fostering a culture of innovation, collaboration with experts, and continuous improvement of AI models.
Executives must also be aware of the potential risks associated with AI, such as job displacement, bias, data privacy breaches, over-reliance, and ethical concerns.
By understanding both the opportunities and challenges, companies can embrace AI responsibly, minimising risks and maximising benefits to transform their operations and achieve sustainable growth.
Bridget Chipungu-Chimbga is the executive director at AI-RISE. She is a PhD candidate in Artificial Intelligence (AI) and Internet of Things (IoT) at University of Pretoria and a researcher with the Centre for AI Research (CAIR). Feel free to connect on LinkedIn @BridgetChimbga



