Agentic AI, automation lead 2026 trends in data economy :: WRAL.com

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Agentic AI Execution: The transition of agentic AI from experimentation to practical deployment will allow machines to execute tasks autonomously, notably in small to mid-sized companies.
Value of Operational Data: Real-time operational data (live sensor data, transactional data, etc.) will become the most valuable asset, shifting economic focus from historical data to immediate actionable data.
Infrastructure as Economic Enabler: Infrastructure investments (broadband access, data pipelines, edge compute) are crucial for the Data Economy, determining economic success by enabling continuous, reliable operations.
Automation Divide: The division between organizations that can automate decision-making processes and those that can’t will determine economic leverage, with the former gaining disproportionate power.
Innovation Relocalization: Economic development and innovation will increasingly prioritize local execution over global platforms, rewarding ecosystems that can turn ideas into functional systems.
Data Infrastructure as Core Economy: Regions investing in the right blend of data infrastructure for real-time operations and resilient systems will be better positioned to thrive in the Data Economy.
Standards Outpace Regulation: Market-driven standards and practices will shape AI and data governance faster than regulation, defining industry behavior before formal regulatory frameworks arrive.

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