It seems that there is no escaping Artificial Intelligence. ChatGPT, a Large Language Model (LLM) based chatbot released in 2022, took the world by storm. Technology companies have invested astronomical sums of money in the research and development of AI systems. The world has been inundated with AI products and apps that promise to deliver better results in many areas including health, finance, scientific research, customer service, marketing, recruitment, astronomy, warfare, and even counselling and companionship. Universities and training institutes have all joined the AI gold rush to provide relevant skills development programs. And the stream of TED Talks, podcasts, articles, interviews and, ahem, blog posts on AI seems endless.
Business leaders face today the unenviable task of deciding what their AI strategy will be. They first need to understand AI, its many forms, capabilities, limitations, risks, and its impact on how we work, employee morale, and productivity. The advent of AI is reshaping how leaders think, decide and engage with people. Our ability to think critically has never been needed more. We need to ask the right questions so we make the best decisions we can with the information available to us.
Here are four categories of critical-thinking questions that we can consider as leaders in the age of AI:
- Our work. What tasks are we doing that can be easily transitioned to an AI system? What are the limitations of today’s AI systems? What tasks cannot be handed over to AI at all? How much autonomy do we want to hand over to AI? Where can AI enhance human capabilities? How is AI impacting our customers’ experience of us? How do we ensure that our AI systems are learning systems, so their results improve with time?
- Our customers’ trust. How do we reassure our clients that their data is secure in the new AI landscape? That our AI-supported decisions are not influenced by hallucinations or bias? What levels of transparency can we provide to our clients? Can we start with a pilot project that builds customer confidence? Who can provide trusted independent audits or evaluations of our AI systems? What is our backup plan if our AI systems go offline for a day or two or even seven? What guardrails can we put in place to prevent bias, surveillance and loss of privacy?
- Our employees. What skills will our employees need to work seamlessly with new AI systems? How can we foster collaboration across disciplines such as data science, technology and business? How do we ensure that our employees feel valued rather than displaced and unmotivated? Will sustained use of AI cause cognitive de-skilling in our employees?
- Our costs. What are the upfront development and infrastructure costs of investing in AI solutions? How costly will data preparation and maintenance be? How much will we spend on a pay-as-you-go model if our usage grows sharply?
In the end, leading in the age of AI is not about chasing trends but making smart, responsible choices that support our business goals and people. The leaders who will thrive are those who stay curious, ask the right questions, and push for disciplined execution and benefits realization as their teams pivot, experiment and learn. In a world filled with hype and uncertainty, the leader’s ability to emotionally connect with others and build confidence with lucidity, authenticity and credibility has never been more important. AI will keep changing how we work, but it is thoughtful leadership that will decide whether that change creates real, lasting value.
Do you possess the resilience, appetite for risk and critical thinking skills needed to face what may well be the best of times, the worst of times? What are your thoughts on this topic? Would you like to add to the above critical thinking questions? I would love to hear from you.