Agentic AI ROI: From Automation to Decisions
n this episode of Next Frontiers of AI, host Scott Hebner is joined by Paul Chada, CEO of Doozer AI, to explore one of the most urgent questions in enterprise AI: What is the real state of agentic AI ROI, and where is it headed? As companies shift from foundational Generative AI to the ”golden age of AI Agents” and the super cycle of innovation it promises, the stakes are rising. Digital coworkers are no longer just creating content or automating repetitive tasks, but are actively involved in workflows, knowledge work, and decision-making processes. In this discussion, we share real-world lessons from AI agent deployments and present new findings from the Agentic AI Futures Index survey to illustrate how adoption is progressing, where plans are accelerating, and what the journey toward decision intelligence entails.
Accelerate Globally Distributed AI Environments: Equinix connects 90% of the global population within 10 milliseconds.
As guests of Equinix’s inaugural AI summit, analysts Bob Laliberte and Savannah Peterson had front row seats to a slew of Equinix updates. Their diverse lineup of leaders made a strong case that it is innovating to enable distributed AI workloads on a global scale. Across strategy announcements, regional updates, and product innovation announcements, the […]
Securing AppDev in the Age of AI and Open Source Risk
As open source and AI-generated code explode, application security must evolve. This piece explores insights from Chainguard CEO Dan Lorenc on reproducibility, developer guardrails, and the future of supply chain integrity amid rising regulatory pressure.
Breaking Analysis: Cybersecurity’s Enduring Asymmetry in the Age of AI
For the past several decades, Cybersecurity has been an unfair fight. The economics have favored attackers, which have access to sophisticated resources, lower costs, fast innovation cycles and deep knowledge of vulnerabilities. Defenders, by contrast, bear the full burden of securing sprawling networks, fragmented technologies, and human error, all while operating under legal, regulatory, and financial scrutiny.
Networking for AI Summit Keynote
The Networking for AI Summit kicked off with a great market insights discussion with Zeus Kerravala of ZK Research. We discussed how AI is impacting networking environments, including the back-end, front-end, and WAN. Their central thesis: the network is not ancillary to AI, it is the foundation that determines whether training, inference, and emerging agentic […]
Developers Need to Rethink Cloud Cost Management
Mike Julian (Duckbill) argues that cloud cost management must shift from micro-optimizations to architectural planning. Learn how AppDev teams can “Shift Left” FinOps to reduce structural cloud waste.
Simplifying and Scaling Networking for the AI Era: Extreme Networks
Artificial intelligence (AI) adoption is accelerating rapidly across industries, moving from experimental pilots to enterprise-wide initiatives that span the edge, data center, and wide-area networks. With this shift, the role of the network is evolving from a supporting utility to a strategic enabler of AI-driven transformation. At the recent Networking for AI Summit, I spoke […]
Meter: Networking Built for the AI Era
At the Networking for AI Summit, I had the opportunity to speak with Anil Varanasi, Co-Founder and CEO of Meter, across two sessions that showcased both the company’s vertically integrated networking platform and its new AI-driven operations tool, Meter Command. Together, they highlight a vision for how enterprises can simplify networking today while preparing for […]
The State of Digital Labor Transformation:
In this episode of Next Frontiers of AI, Scott Hebner and Christophe Bertrand, both Principal Analysts at theCUBE Research, unpack fresh primary research data on the state of digital labor transformation. The new Digital Labor Transformation Index reveals a striking workforce evolution underway: business leaders are no longer viewing agentic AI as simply a software automation or analytics paradigm shift, but as a genuine labor market phenomenon that promises to fundamentally change how work gets done.
The data shows more than 70% of AI and business professionals believe this generation of leaders will be the last to manage human-only workforces, underscoring a conviction that digital labor is inevitable. With an aggregate maturity score of 3.1 across 13 dimensions on a 0–5 scale, enterprises are moving steadily from experimentation into structured adoption—but the journey remains uneven and trust in autonomous roles is fragile. The research highlights the pivotal role that Chief HR Officers (CHROs) will play as co-architects of this transformation, and how the emerging role of Chief AI Officers (CAIOs) is destined to expand into a powerful intersection of business strategy, technology leadership, and digital workforce design.
The conclusion: success in digital labor transformation will require cross-functional ownership, new models of trust, and bold leadership from both CHROs and emerging Chief AI Officers. #DigitalLabor #AgenticAI #FutureOfWork