Leading the AI uncertainty: the last PwC CEO survey

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Today, leadership is a constant exercise in balance. We are immersed in a profound technological and social transformation in which Artificial Intelligence (AI) promises to accelerate business models, increase productivity, and automate many activities. But reality is more complex: true value lies not only in the technology itself, but in the ability to integrate it strategically, sustainably, and humanely within organizations.

In this context, PwC’s 29th Global CEO Survey paints a clear picture: leading in the age of AI is not just about adopting new technologies, but about radically rethinking strategy, governance, and corporate culture.

A Climate of Caution: Short-Term Pressure and Strategic Myopia

CEO confidence in short-term revenue growth has fallen to 30% (down from 38% last year and 56% in 2022). It is a strong signal: pressure on day-to-day operations risks overshadowing long-term vision.

Alongside organizations paralyzed by uncertainty, a group of “Vanguard” companies is outperforming the market — not because they operate in less complex environments, but because they have chosen dynamism as their strategic response to disruption.

The Real AI Gap: Not Technological, but Leadership-Driven

AI is at the center of boardroom agendas, yet for many companies, the economic return remains limited.

56% of companies have seen no revenue increase nor cost reduction from AI over the past 12 months. The problem is not the technology. It is the approach.

Vanguard companies (12% of the sample) achieve both revenue growth and cost reduction simultaneously. The difference lies in the foundations they have built:

  • Integrated, scalable technology infrastructure
  • Clear strategic roadmap with measurable objectives
  • Organizational culture focused on adoption, not isolated experimentation

AI creates value when it becomes an enterprise-wide transformation lever, applied to products, services, and experiences.

44% of Vanguard companies use AI extensively across these dimensions, compared to just 17% of others.

For AI to work, it must be enterprise-wide.

Borderless Industries: Where New Value Is Created

The traditional separation between industries is dissolving. Technology, climate tech, finance, and healthcare are converging into hybrid ecosystems.

42% of companies have begun competing in entirely new sectors over the past five years.

Companies generating at least 50% of their revenue from new domains report average margins of 14%, compared to 9% for those remaining within traditional boundaries.

Growth is concentrating in cross-sector clusters:

  • Tech is entering healthcare, banking, and business services
  • Fintech redefining payments and financial infrastructures
  • GCC countries investing in data centers and multi-sector hubs
  • India is consolidating its role as a strategic hub for capital and innovation

This is not opportunistic diversification, but a redefinition of core capabilities.

Trust as a Strategic KPI

Trust is no longer an intangible asset. It is a measurable performance driver.

Public companies with fewer trust-related issues have delivered shareholder returns +9 percentage points higher than those exposed to controversies around AI, privacy, or sustainability.

Trust is built on three interconnected dimensions:

  • Operational trust: resilience and execution excellence
  • Accountability trust: transparency, high-quality reporting, strong governance
  • Digital trust: data protection and ethical use of AI

In a data-driven economy, trust is not reputational — it is strategic.

Beyond the “Innovation Theater”

50% of CEOs consider innovation critical to their strategy. Only 8% have implemented structured practices to make it systemic.

Many organizations are trapped in “innovation theater”: hackathons, labs, and announcements that generate visibility but not transformation.

The operational gap is clear:

  • Only 24% tolerate high-risk projects
  • Only 19% have formal processes to terminate underperforming R&D initiatives

Without discipline in shutting down “zombie projects” and courage in funding truly transformative initiatives, innovation remains rhetorical.

Time as a Strategic Lever

CEOs spend 47% of their time on priorities with a horizon of less than one year. Only 16% focus beyond five years.

This is the paradox of modern leadership: those most concerned about the future often concentrate even more on the immediate.

“Cautious companies” grow less (–2% in revenues) and report lower margins (–3%) compared to dynamic organizations.

A microscope is necessary. But without a telescope, strategy loses direction.

From Caution to Dynamism: Priorities for 2026

Build the foundations for AI
Move beyond experimentation and scale enterprise-wide, investing in data, infrastructure, and culture.

Follow global capital flows
Remap strategy according to emerging growth poles: India, GCC, tech-climate ecosystems.

Integrate climate into value creation
Only 20–24% of CEOs have structured processes to integrate climate change into capital allocation and product design — a critical source of future competitive advantage.

Reinvent the board agenda
Deliberately shift time and resources from short-term pressure to long-term value creation.

The Question to Ask

The greatest risk is not uncertainty. It is immobility.

The real question is not whether AI will transform your industry.

It is whether your organization is building today the foundations to compete in the next decade.

In protecting the next 12 months, are you sacrificing the next 10 years?

Neodata AI Team

As Neodata, we provide data, insight, articles, and news related to AI and Big Data.

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