Original article: Read Lars Voedisch’s 28 July 2026 Forbes article, “The Second Question Every CEO Should Ask About AI.”

Adapted from an article first published by Forbes.

This regional adaptation retains Lars Voedisch’s “second question” thesis and adds Southeast Asian operating-model, governance and stakeholder examples. It is distinct from the June 2026 SEA Connect adaptation about brand visibility in artificial-intelligence answers.

Most AI conversations in boardrooms still begin too late. By the time communications teams explain an AI initiative, the organization may already have chosen the platform. It may also have announced the pilot, briefed employees unevenly and left customers wondering what will change. That sequence is risky anywhere. In Southeast Asia, it is especially fragile.

The first chief executive officer (CEO) question is still the right one: what business problem are we solving? If the answer disappears when the word “AI” is removed, the company probably has a technology story looking for a business case. But the second question matters just as much: who must trust this change for it to work?

That question is not a communications add-on. It is a strategy test.

Southeast Asian companies rarely operate in one neat stakeholder environment. A regional retailer may have multilingual frontline staff, cross-border suppliers, franchise partners, payment providers, regulators and family ownership all influencing execution. A bank or insurer may need to align central strategy, local compliance teams, branch staff, call-centre operations, technology partners and customers who vary widely in digital readiness. A manufacturing group may be deploying automation across markets where workforce concerns, data maturity and vendor accountability are not evenly understood.

This is why AI transformation often stalls for reasons that have little to do with model quality. The technology may work in a pilot. The business case may be defensible. The failure point can still be trust. Leaders may not explain the value consistently, while employees may not understand how work will change. Customers can suspect a service downgrade. Investors can hear efficiency language without a growth story. Regulators can see opacity where they expected accountability.

Regional policy direction reinforces this point. The Association of Southeast Asian Nations (ASEAN) Responsible AI Roadmap 2025–2030 gives governments steps for responsible adoption. The expanded ASEAN guide on generative AI covers governance, risk and policy choices. Singapore’s Model AI Governance Framework for Agentic AI addresses accountability and control when systems can act across workflows.

For CEOs and boards, the practical lesson is clear: AI adoption is no longer just an innovation agenda. It is an operating-model, governance and trust agenda.

Communications should therefore move upstream. The job is not merely to make an AI announcement sound responsible after the strategy is fixed. Communications leaders should pressure-test whether the strategy can be understood by the people whose cooperation determines success.

That starts with purpose. A board should ask whether the business problem is specific enough to survive scrutiny. “Using AI to improve productivity” is not sufficient. Productivity for whom? Which process is changing? What customer or employee friction is being removed? Which decision will become faster, safer or more useful? What will not be automated?

The next test is leadership alignment. If the CEO, business-unit leaders, technology lead and country managers explain the initiative differently, the organization will hear confusion. In Southeast Asia, that confusion can multiply quickly across languages, markets and reporting lines. A regional headquarters may describe strategic transformation while a local team hears cost reduction. A customer-facing employee may be expected to defend a change they were never trained to explain.

Process redesign is the third test. AI rarely creates value by being inserted into an unchanged workflow. If approvals, incentives, training, data ownership and escalation paths remain the same, the tool becomes either theatre or friction. Boards should ask which processes are being redesigned and which teams own the change. They should also ask how exceptions work and what evidence will prove that the new model is better.

Trust is the fourth test. Employees need to know whether AI changes their role, performance expectations or career path. Customers need to know whether service quality, privacy or accountability is changing. Investors need to understand whether the initiative supports margin, growth, risk reduction or market access. Regulators need confidence that the company can explain governance, accountability and safeguards without hiding behind technical language.

A boardroom checklist

  • What business problem would still matter if we removed the word “AI”?
  • Can every senior leader explain the value in the same way?
  • Which process is being redesigned, and who owns the new operating model?
  • Which employees, customers, partners, investors and regulators must trust the change?
  • What will each stakeholder group need to hear, see or experience before the change becomes credible?
  • What evidence will show that the initiative is working beyond a pilot or announcement?

This is not a call to slow AI adoption. It is a call to make adoption more executable. Southeast Asian companies that move fastest will not necessarily have the loudest AI announcements. They will connect AI to a real business problem, align leaders before launch and redesign work around the tool. They will also earn enough stakeholder trust for the change to scale.

The closing test is deliberately simple: if removing the word “AI” collapses the business case, the strategy is not ready. If the business case survives but stakeholders cannot understand or trust the change, the implementation is not ready. CEOs need both answers before they ask the market, employees or regulators to believe the story.