The AI Revolution Behind the Scenes (Executives)

Within glass walls of executive offices, where decisions make multibillion-dollar impacts, there has been a quiet revolution. No, it is not the high-profile demonstrations of generative AI or the viral nature of chatbots in the news. It is the gritty, or sometimes unspectacular, application of AI into business strategy.

Questions from C-suite leaders are wrestling with this change: "How do we embed AI without disrupting our operations?" or "What is the real ROI on AI, beyond the hype?" After twenty years living in between AI research and various industries I have an inside look into the boardroom. What I see is a fundamental reboot of how leaders think, make decisions, and compete.

The stats are stark: McKinsey's 2025 State of AI survey reports that the number of organizations using generative AI in at least one function has jumped from early 2024; 71% of organizations now use generative AI in at least one function on a regular basis. But even with the upward trajectory of this stat, however, boardroom engagement with AI remains unequally adopted. A Deloitte report indicates that 14% of boards engage AI in every meeting, only 13% of S&P 500 companies have dedicated oversight committees for AI according to a Harvard Law School report.

From my view, consulting to executives from different industries, this gap demonstrates the hidden revolution: AI is becoming a strategic priority for the C-suite.

The Quiet Change to Executive Issues

 

Gone are the days for AI as an IT function. Today, executive board agendas have been infused with deliberations over AI governance, ethical risk, and competitive advantage. A NACD survey done in 2025 indicated that 30% of directors indicated that AI is still one of the biggest trends impacting companies, after indicating cybersecurity at 41%.

In KPMG’s Boardroom Lens on generative AI report, a similar pattern emerges, where the majority of boards say they have general tech experience but limited experience in generative AI. This makes it difficult for many leaders to catch up. Trends in investment provide additional urgency.

Gartner predicts worldwide generative AI spending to increase to $644 billion in 2025, a 76.4% increase from 2024. Through my informal advisories, I begin to see a manifestation of this with actual reallocations.

One Fortune 500 CEO shared they reallocated 15% of their R&D budget to analytics-based AI, not for fun, but for the purpose of being 20% more accurately predictive in managing disruptions to their supply chain.

Thomson Reuters C-Suite Survey 2025, listing AI and digital transformation as one of their top priorities, even in turbulent economic times.

New trends shaping the Board agenda

 

From both my perspective of running Stella Novus Limited and building Nexus AI Advisory, I've seen three trends that were at the centre of these hidden conversations.

AI Governance becoming Standard in Boardroom. Boardroom conversations are no longer whether we should govern AI, but how. In the 2025 trends in corporate governance report, PwC highlighted AI starting to develop in areas such as risk management and decision making. In a Harvard Corporate Governance Forum, one author noted that more boards are putting AI on their agenda and only 31 percent reported that AI was not absent from any of their meetings. This was down from previous years. In practical terms, it involves activities like forming committees to study AI-related tasks or attaching oversight as part of an auditing function for boards. One executive I worked with incorporated AI ethics for review in every quarterly board pack, helping to mitigate and eliminate potential liabilities related to biased algorithms.

Reimagining Talent and Skills. The C-suite is re-envisioning the concept of human capital in a world with AI. Based on Adecco's research, there is a shift of attention for leadership to focus on retention and upskilling related to gaps in AI. In Boyden's report developed on "Preparing Your Business for the AI Economy", they emphasize a proficiency with AI tools for roles such as sales and operations to help fill gaps in business. In my recent research, Futurum Group data showed that 44.1% of the time the CEO, or CTO are the decision-makers about AI technology, indicating a shift from "tech-first" to a "business-first" approach to AI. Publicly, executives tell me they are engaging in a search for "AI-fluent" talent, which is someone who can speak to the specific domain and also have technical knowledge, similar to my own path from a PhD to an executive consultant.

Risk Management and Ethical AI. Cybersecurity and AI risks are intertwined. Diligent explains in their 2025 Trends Report there are risks on the rise related to both AI and Cybersecurity. As stated in Directors & Boards, they note boards are attempting to utilize AI technology for efficiency. A few examples in their research included using AI to summarize their board books or to analyse risks within a report. The overarching concern is the unknowns/ unintended consequences. In Oliver Wyman's insights from Davos, AI will play an enormous role in building/maintaining resilience amid economic challenges in our global marketplace. However, the concept of trust remains the biggest barrier to leaders' assessing AI risks. I have witnessed several boards create a mandatory AI audit in their assessments after experiencing close calls when using AI technology, related to issues like generative models exacerbating data biases in hiring.

What CEOs are Really Worried About

While the data is important, the real revolution is in unvarnished confessions by those serving on boards. Executives are anxious. One CEO confided about AI-fear-of-missing-out (AI FOMO) and being rushed into an investment, confirming Coverage Board Report's 2025 reassurance/realities on AI.

Yet, one other issue: Deloitte's call to prepare the C-suite with generative AI skills to help with transformation. Wharton's faculty perspectives emphasize that it is not just about being able to adopt new technology, but being able to navigate changing. From my personal perspective, the winners are people/firms that think of AI as a cultural shift, rather than a technology refresh.

The BOARD Framework for Leading the AI Revolution

 

To help senior executives cut through the noise, I am going to create a few more acronyms!

I have reduced my advisory work into a BOARD framework:

B - Build AI Literacy at the Top

• Mandate executives to train on generative AI; strive for 100% familiarity rate per McKinsey benchmarks.

• Recruit board members with AI knowledge to close the gaps KPMG identified.

O - Oversee Governance Proactively

• Create AI committees; today only 13% of S&P 500 does this.

• Introduce AI in risk conversations at every board meeting.

A - Align with Business Strategy

• Give priority and urgency to high ROI use cases, i.e, predictive analytics, over broad experiment without a purpose.

• Establish impact against PwC's potential impact on governance.

R - Rethink Talent and Culture

• Upskill your teams and redefine roles, True Search identified AI's evolution in executive searches .

• Create AI collaborating culture to overcome antipathy towards collaboration.

D - Drive Ethical Innovation

• Audit for biases and ethics to meet emerging governance needs identified by Forbes.

• Scale responsibly, drawing on pioneering work at Harvard using AI in boards.

Practical next steps for C-suite leaders

Leveraging examples in various sectors, from ancient historians at Ancient Origins, to e-commerce experts at Stella Novus, here is what to do:

1. Assess your board's AI readiness: Use frameworks such as Berkeley's AI Maturity Matrix to assess the board's skills and governance gaps.

2. Allocate time for AI: Shift AI from the agenda item of "ad-hoc" to "regular", discussing trends such as those suggested by Launch Consulting in July 2025.

3. Invest in upskilling: Work with experts to create C-suite specific programs as LinkedIn indicates for all executives.

4. Pilot with a purpose: Start with easy AI in the boardroom for summarization, as suggested by Directors & Boards, and measure ROI.

5. Foster global trends: Plan around AI executive evolution, as CFI.co suggests.

The strategic imperative

The impetus for change is existential. Please don't think New AI is optional to you and your board. With New AI impacting decision-making, execution, and talent, there are risks of being irrelevant for those with generational information. Those leading New AI, using experiences and strategies from predating it, will create unassailable and generational opportunities.

With an "everything AI" background of 20 years, I am reasonably confident: The future belongs to executives who keep consumer behaviour prevalent in boardroom "buzz" and engage in calculated action.

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