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Agentic AI reshapes enterprise strategy and culture amid rapid innovation

April 18, 2025•by Chad Wilson•Original Link•3 minutes
AgenticAI
EnterpriseTransformation
CloudNative

Agentic AI is revolutionizing enterprise strategy by merging cloud-native infrastructure, automation, and cultural shifts into a new era of intelligent systems.

The convergence of cloud-native infrastructure, harmonized data layers, and real-time automation is paving the way for agentic AI—intelligent systems that operate autonomously and collaboratively across complex workflows. This shift is not just technological but also cultural, demanding enterprises to rethink operations and organizational models to keep pace with rapid innovation.

The Rise of Agentic AI

Traditional automation is giving way to dynamic, situational intelligence powered by AI agents. According to John Furrier, co-founder and co-CEO of SiliconANGLE Media Inc., this transformation is happening simultaneously across industries, creating new opportunities for startups and enterprises alike.

"That’s different with agents. It’s all happening at the same time," Furrier said. "I think you’re seeing new logos pop up, you’re going to start to see these white spaces develop, and this SaaS conversion to agentic is happening."

Infrastructure Investments Fuel Growth

Unprecedented spending on AI infrastructure is driving this evolution. Data center investments surged from $220 billion to $350 billion in just one year, reflecting the growing dominance of AI workloads. Dave Vellante, co-founder and co-CEO of SiliconANGLE, highlighted the significance of this shift:

"It’s like a 25%, 10-year CAGR. It’s massive," Vellante said. "In one year, the growth went from four or five percent in data center to almost 60%. It’s because AI infrastructure, and now the AI piece of that is dominant."

Startups vs. Enterprises: A Level Playing Field

Agentic AI is democratizing innovation, enabling startups to compete with established enterprises. Startups can now leverage lower development costs and faster time-to-market, while enterprises with rich datasets can customize agents to create new revenue streams.

"Whether it’s a go-to-market or managing workflows or whatever it is, both technically and in business, where in the past, you would have to staff that up," Furrier noted. "That now has changed, so that favors the startups."

Cultural Shifts and HR’s Role

The transition to agentic AI requires more than just technology—it demands cultural alignment and clarity. HR departments are now pivotal in integrating agents as digital coworkers, ensuring employees are empowered rather than replaced.

"If you’re not at the cadence of speed, culture is the game," Furrier added. "It’s the only game in town because if you don’t have the speed, you don’t win."

For more insights, watch the full interview from the AI Agent Builder Summit:

AnalystANGLE Wrap | AI Agent Builder Summit

Disclosure: TheCUBE is a paid media partner for the AI Agent Builder Summit. Sponsors do not have editorial control over content on theCUBE or SiliconANGLE.

Related News

August 13, 2025•C P Balasubramanyam

Agentic AI Transforms Enterprise Workflows with Autonomous Systems

Enterprises are shifting from passive AI tools to autonomous agentic systems, redefining workflows and driving innovation across industries.

AgenticAI
EnterpriseTransformation
DataDriven
August 12, 2025•Unknown

Master Agentic AI with Python in This 4-Hour Video Tutorial

Learn agentic AI engineering in Python through a comprehensive four-hour video workshop by Jon Krohn and Edward Donner, covering frameworks, workflows, and hands-on coding.

AgenticAI
Python
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About the Author

David Chen

David Chen

AI Startup Analyst

Senior analyst focusing on AI startup ecosystem with 11 years of venture capital and startup analysis experience. Former member of Sequoia Capital AI investment team, now independent analyst writing AI startup and investment analysis articles for Forbes, Harvard Business Review and other publications.

Expertise

Startup Analysis
Venture Capital
Market Research
Business Models
Experience
11 years
Publications
200+
Credentials
2
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