""This is not just risky; it's unsustainable," he writes. "By 2026, the demand for robust frameworks and private environments to ensure stability and control will be undeniable. Running models locally-on-premises or in controlled AI factories-will become the norm to provide a stable foundation and insulate organizations from external disruptions. But this is more than a prediction. It's an urgent appeal.""
""That's the only question that matters," said Heath Ramsey, ServiceNow's group vice president of AI product platform management in his video predictions. "Leaders face a simple directive to turn AI investments into measurable value, fast.""
""You need one entry point with clear policies and approvals," he said. "A secure foundation for your AI is how you turn an isolated win into a repeatable pattern that scales across your business.""
AI will shift toward on-premises deployments to ensure security, governance, and cost control. Demand will grow for robust frameworks, private environments, and controlled AI factories to provide stability and shield organizations from external disruptions. Large enterprises that integrate AI end-to-end are beginning to show measurable ROI. Companies must focus on delivering measurable value quickly by fixing specific, time- and cost-draining tasks with AI. Effective governance requires a single entry point with clear policies and approvals. Governing AI agents requires balancing behavioral guardrails with room for operator experimentation to enable innovation while managing risk.
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