AI-dominated boardrooms in 2025, yet many organizations still struggle to turn investment into impact. The technology has never been stronger or more accessible, but the number of failed projects continues to rise. The companies that succeed with AI are the ones that use it to strengthen strategy, not just add another tool to the stack.

According to S&P Global Market Intelligence, fewer enterprises are reporting positive impacts from generative AI than in previous years, despite higher investment than ever.

The disconnect is not about the capability of the tools themselves, it’s about how companies approach them. Too many executives still treat AI as a separate experiment rather than embedding it into the way their organization plans, decides and adapts.

The strategic gap

When AI projects stall, the problem is rarely the technology. More often, it is the way the organization frames the initiative. Companies that start with a tool and then search for problems to solve are setting themselves up for disappointment.

Those that succeed begin with the business challenges that matter most, then identify where AI can enhance work already underway. This usually means areas where people spend time sifting through data, detecting patterns or making resource trade-offs under pressure, where speed and clarity are most valuable.

Strategic portfolio management is a clear example. Executives must continually prioritize investments across multiple initiatives while the market shifts around them. Relying on spreadsheets and delayed reporting slows decisions and creates blind spots.

AI, by contrast, can process performance data, market signals and utilization patterns at a pace humans cannot match, surfacing insights that allow leaders to make sharper choices. In this context, AI is not a separate project but an embedded capability that strengthens existing processes.

Planning around corners and blind spots

The greatest advantage of AI is not in reporting what has already happened, but in helping leaders prepare for what comes next. I describe this as ‘planning around corners and blind spots’ – the ability to move from reacting to events to anticipating them. Organizations that adopt this mindset find themselves better equipped to navigate volatility because they are not waiting for problems to materialize before acting.

AI is fundamentally changing how organizations adapt and thrive. For example, at Planview, this transformation is seen through our Planview Anvi solution, which delivers proactive, contextual insights to leaders and teams using conversational AI to flag resource conflicts, alert to shifting demand and recommend next steps. This helps leaders quickly pivot strategy and redirect resources in fast-moving markets.

Traditional planning processes leave organizations updating models for weeks, while AI systems adjust immediately, showing which initiatives still create value and where resources should be redirected. In fast-moving markets, that ability to adapt in real time is what differentiates those who lead from those who lag.

Looking ahead, AI-driven tools will drive an even tighter link between leadership vision and frontline action, continuously shrinking the gap between planning and execution. The future is about unlocking new productivity and accelerating innovation, where prompt engineering and AI literacy become as vital to decision-makers as financial or operational acumen.

Beyond automation

Much of the debate around AI has been dominated by questions of automation and job loss, but this misses the more important point. The strongest results come from combining human judgment with machine intelligence.

AI can scan vast data sets and reveal patterns at speed, but it is leaders who provide context, ethical reasoning and strategic vision. When machines handle the heavy analysis, executives gain the time and perspective to focus on the decisions only they can make.

This shift often changes the nature of roles across the organization. Employees who once worked only on defined tasks begin to take on broader responsibilities, connecting insights to action across teams. I call this “the accidental project manager effect”, where staff become informal leaders simply because AI has altered the flow of work.

The organizations that thrive in this environment are those that invest in people alongside technology. They train, mentor and provide tools that are intuitive, ensuring adoption grows organically. Those that fail to support their people discover that even the most advanced tools struggle to gain traction.

Building AI strategy that works

The organizations making AI work for them share three traits. First, they anchor every project in clear business outcomes. Rather than chasing the latest algorithm, they focus on goals such as faster decision-making, sharper resource allocation or improved risk management. Second, they prove value and ROI quickly.

By starting with targeted pilots in areas where AI can deliver results within months, they create momentum and confidence, while giving teams the chance to refine collaboration between people and machines before scaling further. Finally, they ensure strong executive involvement. AI cannot be treated as a purely technical exercise. It demands leadership commitment to align with business strategy and to steer the cultural shifts that follow.

Measurement is equally important. Too often, companies assess success through technical milestones like deployment or uptime. What matters more is whether AI is improving adaptability, speed and decision quality across the organization. Without this connection to business outcomes, AI remains a cost rather than an asset. With it, it becomes a strategic capability that compounds in value over time.

The competitive divide

The divide between AI-native companies and traditional ones is set to widen quickly. Those that integrate AI into their planning and execution will be more agile, allocate resources more effectively and consistently outperform peers. Over time, this advantage becomes self-reinforcing, as the cycle of faster learning and better decisions compounds.

But technology alone will not secure this edge. Success requires a change in mindset. Leaders must accept that AI will not eliminate uncertainty, but it will help them navigate it with greater confidence.

The companies that win will treat AI as a partner that extends human judgment, rather than a system that replaces it. By combining the creativity and intuition of people with the scale and speed of machines, they will gain the ability to see around corners, anticipate risks and capture opportunities before others react. That is the essence of planning around corners, and it is what will define the next generation of business leaders.

AI is no longer an experiment. It is a central capability of modern business. The question for executives is not whether they will adopt it, but whether they will adopt it wisely. Those who focus on outcomes, invest in their people and treat AI as a partner in strategy will not just keep pace with change. They will set it.

Opinions expressed by The CEO Magazine contributors are their own.