How AI Could Supercharge Decision Making In The C-Suite

In 1998, Yahoo, the internet titan of the tech industry in the late 90s and early 20s, said no to a chance to buy Google for $1 million. In 2002, Yahoo tried to buy Google for $3 billion and when Google said it wanted $5 billion, Yahoo again said no. Today, Alphabet, Google’s parent company, has a market capitalization of just over $2 trillion and Yahoo, on the other hand, was acquired by Verizon for $4.48 billion in 2017. That Yahoo-Google dance of over 20 years ago tells the story of how a single decision could make or mar a business. While some bad business decisions aren’t fatal, most come with devastating consequences. This is why effective decision making remains a top priority for business leaders today. And for many years, the C-suite has been constantly inundated with tools promising to transform its decision-making capabilities. Now, with AI blazing across industries around the globe and transforming how businesses do things, several executives are tapping into its potential to fundamentally change how they strategize, mitigate risks, get the right ROI on investments and drive growth. What’s more? Futurists like Khalfan Belhoul, CEO at the Dubai Future Foundation, predict that we might even see the first AI board member of a Fortune 500 company by 2025. It’s a bold prediction, grounded in a growing body of evidence. AI isn’t just producing projections and reports; it’s increasingly capable of advising business leaders, identifying market trends and even suggesting actionable strategies based on real-time data. But what does an AI-driven board member really look like and how could AI supercharge the C-Suite going forward?

AI in the Boardroom

“We’ve seen AI accomplish incredible things, from diagnosing diseases to driving cars, predicting financial trends and even creating arts, but we’ve also seen the emergence of AI in executive roles,” Belhoul said in the welcome address at the Dubai Future Forum recently. “Last year, the first AI humanoid CEO was appointed by a European company to lead with data-driven precision and strategic insights. But now you might see a leader that is AI-driven, not a humanoid. I expect the first Fortune 500 company to have its first AI board member in the upcoming year.” Already, there’s a broad range of AI tools enabling decision-makers to operate at unprecedented levels of efficiency. Take, for example, Levi Strauss & Co., which has been using AI to anticipate consumer demand and adjust its supply chain in real-time. “We’re focused on accelerating our e-commerce capabilities and using data and AI to meet our customers where they are, offering the products they want, when and how they want them,” said Marc Rosen, president of Levi Strauss Americas, on a podcast by the National Retail Federation.” But the idea of an AI-powered board member is radical and quite untraditional. Yet Belhoul believes we could see this happen next year. “AI tools like ChatGPT are already helping many IT leaders to make plans and plan better for their businesses,” he told me. ”The next logical step is to integrate AI tools into decision-making processes across all leadership functions.” Echoing this sentiment is Amy Webb, founder and CEO at the Future Today Institute, who said that “this is just the beginning” and noted that while large language models and GenAI have been the highlights of the current AI wave, the next wave will be about large action models — AI models that predict what we will do. “Although LLMs like ChatGPT are leading the current wave, the next frontier will be LAMs,” Webb told me. “LAMs will go beyond processing information — they will anticipate what decisions we’ll make and suggest smarter alternatives.”

The Ethical AI Dilemma

While Utku Kaynar, founder and CEO at Buck — the AI platform that automates scheduling and resource allocation in field services — noted that “an AI-driven board member would act as a decision-support system, analyzing data to offer recommendations humans might take days to process,” he warned that “AI lacks context, ethics and empathy, which are key in board decisions.” For Kaynar, AI’s role would complement that of human directors, providing data-driven insights while leaving final decisions to humans. He added, however, that clear guidelines are necessary for accountability and transparency, ensuring effective collaboration between AI and human intelligence. Regulatory frameworks for AI ethics could help guide businesses on the path to responsible AI. Kaynar isn’t the only industry leader who advocates for caution and thoughtfulness when using AI. As Kate Hancock, founder of the Global AI Council, noted, “AI isn’t perfect — it reflects the data we feed it.” “Many businesses encounter issues with biased recommendations stemming from incomplete datasets and it takes them months to refine their data pipelines to ensure fairness and accuracy.” Bias in AI outputs is a major reason why business heads, according to TechRadar, are struggling to trust AI, even though they recognize its potential. “4 in 10 executives agree their data is not yet ready for accurate data outputs,” a report by Terdata and NewtonX found. Other key issues, Kaynar said, include data privacy and algorithmic opacity. “Businesses must ensure responsible data use and comply with regulations like GDPR. Biased models can lead to unfair outcomes, making transparency and accountability essential.” He added that some solutions to these challenges include audits to detect bias, clear reporting on AI decisions and diverse development teams. Hancock also noted that businesses who want to reduce bias in their AI models must become more focused on their data pipelines, prioritizing processes like data sourcing, data labeling and data validation. “The dataset is where it all happens. Take the bias out of the dataset and you’d have effectively taken the bias out of your AI.”

Moving On

As we move closer to an era where AI could sit in the boardroom, it’s critical to approach this shift with a balanced dose of both excitement and caution. AI’s potential to transform decision-making processes is immense, but it requires deliberate implementation and oversight. “Risk is inherent in innovation,” Belhoul said, “but the companies that embrace AI thoughtfully — combining technology with vision and leadership — will emerge as the industry leaders of tomorrow.” For the C-suite, the message is clear: AI is no longer a futuristic buzzword. It’s a strategic advantage — and possibly the most transformative one in recent memory.