Artificial intelligence (AI), global fragmentation, and institutional trust. Strategic business fault lines in 2025

Artificial Intelligence (AI) adoption is accelerating beyond regulatory capacity: Businesses are integrating AI into core operations while governance frameworks struggle to keep pace. Courts are beginning to fill the legislative vacuum by treating AI outputs as legally consequential.

Global fragmentation is redefining strategic priorities: Europe is pursuing digital sovereignty through initiatives like AI Gigafactories, while the G7 is emerging as a default forum for values-based governance. Simultaneously, trade tools such as tariffs, export controls, and rare earth restrictions are reshaping alliances and supply chains.

Leadership expectations are evolving amid trust volatility: Business has become the most trusted institution globally, but this trust is increasingly conditional. Leaders are expected to take visible stances on societal issues and adapt their leadership models from control to orchestration in response to decentralized technologies and rising public scrutiny.

The global operating environment has entered a period of structural volatility over the last nine months. Artificial Intelligence (AI) is evolving rapidly, from basic automation to advanced agency, autonomous decision-making, and real-time learning systems. Global institutions are fracturing. Trust in institutions continues to erode.

Over the past month, I participated in four major conferences: B7 Summit (Ottawa), Sparkassentag (Nürnberg), TECH Conference (Heilbronn), and the Art Directors Club Senate Reception (Hamburg). Despite very different audiences, three systemic themes surfaced repeatedly:

1. AI and emerging technologies are outpacing global governance

AI systems are becoming institutional actors

Cohere’s CEO projected that within 18 months, Large Language Models (LLMs) will operate with persistent memory, enabling task continuity, role replacement, and autonomous decision-making. Shopify requires managers to justify new hires against AI capability. At Bayer, R&D layers collapsed from 200 to 20; funding is now allocated by rotating self-managed units. Telekom reduced connection setup time by 96% using AI. Unicredit uses real-time AI to vet every account. These aren’t pilots. They’re production.

AI policy and governance frameworks are dangerously behind deployment

While AI systems shape decisions in finance, health, and law, regulatory responses remain slow and fragmented. The EU AI Act, the most comprehensive attempt to date, has been criticized for targeting low-risk applications with rigidity, while offering vagueness where risk is highest. In the U.S., over 600 AI-related bills were filed across all 50 states in 2024, yet no federal framework emerged. A 2025 Senate bill to pre-empt state laws failed 99-1. Courts are already treating AI outputs as legally consequential, building de facto rules in the absence of statutory clarity. Companies are moving faster than public institutions can define responsibility.

Virtual twins are shifting from simulation to control

Dassault’s virtual twin of the human brain is used in epilepsy surgery. Full-supply-chain modelling now underpins industrial planning. These systems go beyond simulation to enabling action and control. In parallel, ‘digital twins’ of organizations are being developed to test future strategies, resource shifts, and structural changes before they’re implemented in the real world.

Cybersecurity is now machine vs. machine

Cisco and Blackberry warned that AI is fuelling both sides of the cybersecurity equation. Attackers use generative AI for social engineering, automated code injection, and misinformation. Defenders deploy AI to harden systems and detect threats, but success now depends on AI speed and learning rate, not human response. This technological arms race is unfolding without synchronized norms, leaving smaller firms and governments exposed.

“Most of the world’s youth live outside the G7. And they’re watching.”

2. Global fragmentation is rewriting the rules of trade and sovereignty

Digital sovereignty push in Europe

Across panels, European leaders emphasized the urgency of reducing dependency on U.S. and Chinese infrastructure. Proposals for AI Gigafactories, massive compute hubs, aim to localize LLM training and inference. Sovereign public LLMs, domestic cloud infrastructure, and value-driven data governance are all on the table. However, capital markets remain fragmented, funding coordination is weak, and more than 100 conflicting digital regulations are expected across Europe by 2025. As one panellist bluntly stated: “We have the money, we just spend stupidly.” Without deeper integration across investment, procurement, and policy, Europe’s sovereignty ambition risks becoming symbolic.

The G7 is quietly emerging as a rule-setting bloc

Officials increasingly positioned the G7 as the only functioning forum for values-aligned governance. With the G20 paralyzed and the UN overstretched, the G7 is evolving into a potential de facto standard-setter for globally relevant topics. But if legitimacy is to be sustained, inclusion must extend beyond the global North. As one participant stated, “Most of the world’s youth live outside the G7. And they’re watching.”

Trade and technology are being redefined as instruments of power

Rare earth restrictions by China, U.S. export controls and tariffs, and subsidy-led reshoring are reshaping commercial alignment. Italy noted that 50% of global exports now consist of intermediate goods, meaning that any friction, tariff, regulation, or geopolitical disruption echoes across multiple layers of production. European leaders expressed particular concern over balancing net-zero goals with trade realism: carbon border taxes may be essential for climate strategy but trigger friction in fragile alliances. In response, companies are embracing friendshoring and reducing exposure to China-centric production networks.

“The corporate role has moved ‘from gatekeeping to hosting’, not controlling the conversation, but shaping its integrity through visible, values-driven action.”

3. Leadership must evolve as trust, visibility, and structure shift

Business is now the most trusted institution

According to the 2025 Edelman Trust Barometer, business ranks above government, media, and NGOs in public trust. But this trust is highly transactional. According to our data at Foresight Factory, over 60% of consumers globally want businesses to take a stand on social issues, and Edelman found that 40% of global respondents view hostile activism as a legitimate response to unmet expectations. In Germany, anti-elite sentiment is rising, driven by frustration with wealth inequality and institutional inertia. Executives across conferences noted the paradox: companies are expected to lead, but every misstep risks backlash. As one speaker put it, “Trust is now transactional. You only have it until you fail to meet it.”

Most CEOs lack narrative presence in a narrative age

Despite growing public expectation for business leaders to weigh in on societal issues, most remain invisible. Edelman reported that most people globally cannot name three CEOs. Leadership without visibility undermines influence. As one panellist noted, “CEOs speak to shareholders, not customers.”

Leadership models are shifting from command to orchestration

AI and decentralization are flattening hierarchies. Telekom and SAP called for leaders to act as visionaries, architects, catalysts, and coaches (VACC). Bayer’s reorganization, which cut R&D layers by 90%, exemplifies this model. The shift is philosophical as much as structural: leaders are no longer gatekeepers of knowledge but stewards of coherence in complexity. In media, one executive summed it up: “The corporate role has moved ‘from gatekeeping to hosting’, not controlling the conversation, but shaping its integrity through visible, values-driven action.”

Volatile times call for foresight, not forecasts

Forecasting models were built for continuity. They assume future conditions will resemble the past, with variance. But today’s disruptions are no longer cyclical. Business cannot rely on historical data to navigate what comes next.

Strategic foresight equips organizations with the capacity to act under uncertainty, not just in spite of it, by exploring multiple plausible futures. It allows leaders to move from reactive adaptation to anticipatory coherence. In the coming posts, I’ll explore how foresight can become a core leadership capability across the three topics discussed:

Tech Knowledge as a Strategic Imperative: How foresight supports navigation of AI, robotics, and cyber-physical convergence<

Scenario Thinking for a Fragmented World: Equipping leadership for geopolitical divergence, trade weaponization, and institutional shift.

Embedding Foresight for Trust and Adaptability: Designing organizations that internalize long-range thinking to guide structure, culture, and societal engagement.