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Boards expect their chief executive to have a view on AI. Few ask whether a reliable view exists yet. Business models, risks, and capabilities are evolving much faster than any one Executive can follow, and business decisions on investing, workforce, and governance require immediate attention.

A contemporary CFO isn't someone who has the best accuracy when it comes to reporting; it's a man or woman who can enhance judgment about the future. For 2026, this translates to using data, AI, and risk insight to make decisions that the business can put into action.

An organization can have a COO who improves operational efficiency. As strategy becomes more complex, though, the tougher question becomes: is the COO also enabling the organisation to execute what it needs next?

Every board can produce a succession chart in minutes. Few can defend it under real questioning. In the last 2 decades, we have noticed that the nominating committee’s “ready now" successor is not always ready to be tested against the strategy the company will run in three years.

So you own an industrial and technology leadership executive search firm in Germany, but what happens when your long-standing client, a family-owned manufacturer, acquires a business in Poland and asks for a managing director to run it, a sales head for India, and a finance lead for its US subsidiary?

Talent intelligence is no longer an HR reporting exercise. It is a strategic discipline that determines whether a company’s ambitions can actually be executed.

That gap is the real story in the current research. According to the latest research, 88 percent of organizations are already using AI, but less than one in five report that it has had a significant impact on their business. Another study stated that only one in eight CEOs claim it has achieved both cost and revenue benefits, while 42 percent name the pace of change as their top concern.

According to a recent survey, it was found that even as S&P 500 companies kept appointing new independent directors, the share of those new appointments who were women or from an underrepresented racial or ethnic group fell to 46%, down from 59% the year before.

A leadership team can have the best dashboard in the industry, a fully briefed AI assistant, and unanimous agreement in the room, and still walk into a bad decision. The dashboard was never the problem. Nobody asked what the numbers were assuming.

With a population of about 691,000, Luxembourg has assets of over €8 trillion in its investment funds, thirteen EU institutions, and nearly 40% of its employment is made up of individuals who take the train to work from three other countries each morning.

Boards are no longer asking whether AI belongs in executive search. They are asking whether their next CEO can govern it. The real transformation is two-way: AI is reshaping how C-suite leaders are identified and assessed, while the rise of AI is simultaneously redefining what “executive-ready” looks like.

Almost every leadership team in the world is now running AI pilots. Very few believe their organization is actually ready for what comes next. That gap, not the technology itself, is the real story of AI in the workplace today, and it explains why so many well-funded AI initiatives produce impressive demos and unremarkable results on the P&L.