Key Themes from Davos 2026 – Business Foresight for a Shifting Global Landscape

1. AI Becomes Critical Infrastructure

At Davos, leaders converged on a shared view: AI has moved beyond experimentation and is rapidly becoming national-scale infrastructure. NVIDIA’s Jensen Huang described the moment as the “largest infrastructure buildout in human history,” spanning energy availability, chip manufacturing, data‑center capacity, and the application layer that delivers economic value. This reframing positioned AI alongside the world’s essential systems—not as a software upgrade, but as a foundational platform that requires capital, industrial capability, and long-term planning.

Across panels, executives stressed that competitiveness will hinge on scaling AI beyond pilots, supported by stable compute capacity, resilient supply chains, and a workforce equipped to meet the physical and digital demands of the new era.

2. Labor Markets Enter a Structural Transition

IMF Managing Director Kristalina Georgieva warned that AI is hitting the labor market “like a tsunami,” with 60% of jobs in advanced economies and 40% globally expected to be affected. The most vulnerable are entry-level and early-career roles, where routine tasks are most manageable to automate.

While leaders acknowledged AI’s potential to boost productivity, there was equal concern that companies and governments remain underprepared for the transition and that, without deliberate planning, it risks amplifying inequality and narrowing opportunities for younger workers.

The message was clear: organizations must rethink talent pipelines, redesign work, and ensure that AI augments rather than erodes career mobility.

3. Distribution of AI Gains Becomes a Test for Capitalism

BlackRock CEO Larry Fink called out the emerging concentration of value among owners of models, data, and compute infrastructure — a pattern reminiscent of post-Cold War inequality. Davos participants highlighted a growing divide: AI investments are accelerating, yet many of the economic gains risk accruing narrowly unless firms consciously broaden participation and benefit‑sharing.

Ensuring AI’s impact reaches frontline teams, supplier ecosystems, and customers was framed not only as a fairness issue but as a practical imperative for adoption, legitimacy, and long-term competitiveness.

4. Geopolitics Reshaped: A Rules‑Lite Era

Canadian Prime Minister Mark Carney’s speech positioned 2026 as a “rupture” in the global order rather than an evolution. With major powers increasingly using supply chains, tariffs, technology standards, and financial channels as instruments, he urged middle powers to deepen cooperation and build new forms of strategic autonomy.

For business, this signals heightened exposure to geopolitical risk, especially in markets where technology, data, and energy security intersect.

5. AI Chips and Compute as Strategic Assets

The debate over advanced chip exports underscored how deeply national security and technology policy have converged. Anthropic CEO Dario Amodei framed compute capacity as a strategic resource that must be protected.

Executives warned that companies dependent on frontier models must now treat compute supply, export controls, and vendor concentration as core elements of enterprise risk, not peripheral considerations.

6. Cyber Risk Accelerates in the AI Era

Cyber leaders at Davos emphasized that AI is both an accelerator of innovation and of attack sophistication. Discussions highlighted the shift toward predictive, intelligence-driven defenses, cross-border information sharing, and deeper scrutiny of AI-specific risks, such as malicious prompting, model manipulation, and data integrity attacks.

The emerging consensus: cybersecurity strategies must evolve as quickly as the models they aim to protect.

Altum’s Perspective & How We Support Leaders

Organizations now face a landscape defined by compute constraints, geopolitical volatility, workforce disruption, and rising cyber threats. The winners will be those who treat AI as a strategic system—one that requires orchestration across infrastructure, talent, governance, and risk.

Altum supports leadership teams with:

• AI Infrastructure & Value Mapping — linking clear ROI to power, compute, data, and organizational dependencies.
• Responsible Transformation — redesigning work, developing future-ready skills, and safeguarding early‑career pathways.
• AI Governance, Trust & Safety — implementing model‑risk management, security controls, and responsible‑use frameworks.

When AI, geopolitics, and economic systems are reshaping simultaneously, clarity and disciplined execution become the real differentiators. Altum partners with leaders to build that clarity — and turn it into action.