Trust in AI

The report highlights trust as the critical emerging factor for AI investors, shifting focus from capital expenditure to regulatory compliance, community acceptance, and ethical governance.

Key Takeaways

• 1.The AI trade is shifting from hardware/infrastructure to intangible factors like trust, user safety, and regulatory compliance as central drivers of long-term value.
• 2.Community opposition and resource constraints (power/water) are creating significant delays for data center infrastructure, with up to 50% of 2026 projects potentially delayed.
• 3.Data sovereignty is a material risk; over 70 countries have localization requirements, necessitating 'Sovereign AI' solutions and distributed infrastructure.

Table of Contents

• Trust between companies and customers in the age of AI
• Ensuring user safety
• Cooperating with host communities
• Gen AI and changing digital geography
• Gen AI and government partnership
• Trust between companies and employees in the age of AI
• Conclusion

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