At its recent Partner Summit, Cisco’s executive team, led by CPO Jeetu Patel, made a declaration that was as bold as it was inevitable: "Cisco is the critical infrastructure company for the AI era." For an organization built on connecting the internet, this is a profound pivot. However, according to my analysis, even this claim is too modest. Cisco is not just building infrastructure; it is building the integrated stack to simplify and secure customer deployments. A more accurate title is the "Distributed AI Infrastructure Orchestrator." This pivot to orchestration is not one Cisco can make alone. It is a co-dependent strategy built to capture a once-in-a-generation install base refresh—an opportunity CEO Chuck Robbins pegged at $40 billion for Cisco. From my Techaisle analysis, Cisco's blueprint for capturing this opportunity rests on three interdependent pillars:
- A Reframed Platform Strategy: Solving the core-to-edge infrastructure and data barriers to AI.
- A Comprehensive Security Doctrine: Weaving trust into the fabric of the network as a prerequisite for AI adoption.
- A Modernized Economic Engine: The new Cisco 360 Partner Program is designed to shift partner business models from resale to high-value lifecycle services.

1. Reframing the Platform: Beyond "AI Infrastructure"
Jeetu Patel’s claim is the new north star, but I believe "critical infrastructure for the AI era" is too modest a description. It fails to capture the scale of Cisco’s ambition. Cisco’s strategy is designed to address what it identifies as the three fundamental "impediments" holding back AI: infrastructure constraints, a trust deficit, and a data gap.
Solving Infrastructure Constraints (Core-to-Edge):
Cisco is tackling infrastructure at every level. For the hyperscale "ultra clusters," it’s about raw power with its new Silicon One P200 chip and the Cisco 8223 router, proving it can power the largest AI training models across data centers kilometers apart. For the enterprise, it’s about practical application through its Cisco Secure AI Factory with NVIDIA, a modular reference design that combines high-performance infrastructure with full-stack security and observability. It is backed by Cisco Validated Designs to accelerate the delivery of trusted, transformative AI applications that drive business outcomes.
But the most significant long-term play is at the edge. Cisco understands that "token generation"—the currency of AI—cannot be confined to the data center; it must happen where data is created. The new Cisco Unified Edge is the physical manifestation of this strategy. It’s not just another server; it is a converged, modular, and AI-ready platform that brings compute, storage, networking (via embedded Catalyst switches), and security to the "front line"—the factory floor, the retail store, the hospital. Managed by Intersight, it solves the "patchwork of products" and "dangling wires" that currently make edge AI impossible. This combination—from Silicon One in the core to Unified Edge at the frontier—proves the "Distributed AI Infrastructure Orchestrator" thesis.
Solving the Data Gap (The Machine Data Fabric):
The AI-era data gap isn't a lack of data; it's a lack of usable machine data. Large Language Models (LLMs) are trained on public text, but Enterprise AI runs on telemetry, logs, and operational context. This is the strategic brilliance of the Splunk acquisition, which Cisco is positioning as the "machine data fabric for the AI era".
We saw this come to life in the "AI Command Center" demo. By integrating the Splunk Observability Cloud with data from the Nexus Dashboard and NVIDIA, Cisco isn't just monitoring uptime; it is calculating business-critical metrics such as "cost per token" in real time. This capability allows partners to have a completely different conversation with customers—shifting from "is the network up?" to "is the AI model profitable?" This creates a layer of digital resilience that turns the network into a sensor, ensuring that the "data gap" is bridged not just by storage, but by intelligence.
The Thesis Proven:
This combination of core-to-edge hardware—from hyperscale Silicon One to the new Unified Edge—proves the thesis. When you integrate this hardware with the Splunk data fabric and the Intersight management plane, it becomes clear that this is far more than just "infrastructure." This is the cohesive, end-to-end system for running AI workloads anywhere. This is what makes Cisco the "Distributed AI Infrastructure Orchestrator," providing the complete stack to manage AI from the data center to the factory floor.
2. The AI Security Doctrine: Trust as a Prerequisite
The second pillar, solving the "trust deficit", is Cisco's most powerful differentiator. As Patel stated, "security is a prerequisite for adoption". This elevates security from an add-on to the very foundation of the AI platform.
Chuck Robbins' observation that "None of our networking competitors have security. None of our security competitors have networking" is the central thesis of Cisco’s security strategy. Cisco is embedding security across three distinct domains:
AI for Security (Making Operators Smarter):
This is about using AI to defend the enterprise. The flagship product here is the new Cisco IQ. This AI-driven CX platform transforms support from reactive to predictive. In demos, it was shown to proactively run security hardening assessments, identify vulnerabilities, and provide AI-generated summaries before an incident occurs. This, combined with "agentic ops" in the networking dashboard, uses AI to augment and automate the human operator.
Security for AI (Protecting the Models, Applications, Infrastructure):
This is about protecting the new, expansive AI attack surface. Cisco’s AI Defense technology serves as the "front door," sitting directly in front of AI applications to enforce guardrails by monitoring prompts and responses for malicious intent or hallucinations.
But trust requires depth. Beneath the application layer, Cisco Isovalent uses eBPF technology to deliver "invisible," kernel-level runtime security, critical for protecting the containerized, cloud-native environments where modern AI models actually run. This is flanked by the Cisco Secure Firewall, which provides the necessary high-performance threat protection for massive AI data streams without creating latency bottlenecks, all unified under a single management plane. Orchestrating this defense is Splunk Enterprise Security, the central nervous system of the SOC, which uses analytics and automation to detect complex threats across the entire stack in real time. Finally, Cisco Live Protect closes the loop by hardening the infrastructure itself, automatically deploying vulnerability shields to networking devices to immunize the hardware that powers the AI factory.
Security in AI (Fusing Security into the Fabric):
This is the most profound and difficult-to-replicate part of the strategy. Instead of "bolting on" security, Cisco is "fusing" it into the network itself.
- The Smart Switch: This is a game-changer. By integrating a Data Processing Unit (DPU) alongside the network processing unit, Cisco can run security workloads (like Hypershield) on the switch itself. This enables full Layer 4 segmentation at line rate, eliminating the significant latency and performance bottlenecks associated with "hair-pinning" traffic to a centralized firewall. For latency-sensitive AI workloads, this is non-negotiable.
- Security Cloud Control (SCC): This is the unified policy engine for Cisco’s entire Hybrid Mesh Firewall portfolio. The most important news for the channel: SCC is now multi-tenant for MSPs. This is the "easy button" partners have been desperate for. It transforms a highly complex, distributed security architecture into a manageable, profitable service, enabling an MSP to provision, manage, and license security for all their customers from a single console.
3. The Economic Engine: Realigning Billions to Fund the Partner Shift
This brings us to the final, critical pillar. How does Cisco motivate thousands of partners—who represent approximately 90% of its business—to stop selling simple boxes and start building complex, lifecycle-based practices around these integrated platforms?
The answer is the Cisco 360 Partner Program.
This is not a minor update; it's a ground-up rebuild (read my previous analysis, Cisco 360: Simplifying the Partner Journey, Maximizing the Impact) of a 20-year-old program based on "unprecedented co-design" to solve the number one partner complaint: complexity.
The program is built on a simple premise: the real money is in partner-led services, particularly around premium services and adoption. To that end, CFO Girish Parekh, Senior Vice President of Sales Finance, delivered the single most important message for partners: "Under the new program, our total investment in the partner ecosystem will remain the same." This is not a cost-cutting measure; it is a massive realignment of funds. The program is shifting its financial firepower away from simple resale and directly toward funding the partner services model.
The new program is built on three promises: profitability, predictability, and growth.
Profitability:
The new Cisco Partner Incentive (CPI), launching in January 2026, consolidates multiple old incentives into a single framework. Its sole purpose is to reward the full lifecycle: Land, Adopt, Expand, and Renew. To fuel the shift to services, Cisco is "doubling down on adopt" and "doubling the investment on adopt".
To drive sales of the "One Cisco" platform, new bonuses are being introduced, including a 1-1.5% bonus for new Next Gen Specializations (such as Secure Networking and Secure AI Infrastructure) and a 2% cross-sell bonus for adding new architectures to existing customers. Partners who focus on key growth areas like "campus refresh, AI security, and Splunk renewals" will be able to earn the same, if not more, than before.
Predictability:
To de-risk this business model transition for partners, Cisco 360 is built for predictability.
- Runway: In an unprecedented move, Cisco announced that any partner status achieved (e.g., Preferred) is valid all the way through July 2027. This gives partners an 18+ month runway to make investments without fear of non-compliance.
- Clarity: CPI rates are being released three months early, and a CPI Estimator tool is available for partners to model their future earnings.
- Metrics: The new program is based on the Partner Value Index (PVI), a clear set of metrics, not ambiguous "judgment calls".
Growth & Enablement:
Finally, Cisco is backing this transition with money and tools.
- Marketing: A $7 million investment fund is available for partners to co-brand and update their marketing assets.
- Sales Alignment: Cisco's own sellers are now aligned. An internal seller who combines networking with security can earn up to 50% more. This ensures partner and field sales teams are finally rowing in the same direction.
- AI for Partners: The new Cisco AI Assistant for Partners, built into the Partner Experience Platform (PXP), is the ultimate complexity-killer. It's an intelligent assistant that understands a partner's business, Partner Value Index status, and opportunities, acting as a "co-worker" to find information and recommend next-best actions.
4. The New CX Mandate: Trust as a Service
The "One Cisco" platform strategy and the Cisco 360 Partner Program are the "what" and the "how." The "why" is the customer experience (CX). In my analysis, this was the most critical underlying theme of the summit: CX is no longer a post-sales support function; it is the primary engine driving partner profitability and customer retention.
Cisco is aggressively building a "Human + Digital" CX model, marshaling its executive leadership around this single concept.
The Digital Engine: Liz Centoni’s Predictive Vision
Chief Customer Experience Officer Liz Centoni is re-architecting CX from a reactive, "break-fix" cost center into a predictive, AI-powered value driver. She stated the mission clearly: "Our North Star is to make every single one of our customers feel like they're our only customer".
This isn't just talk. The tangible manifestation is Cisco IQ, a new AI-powered digital interface. This platform is designed to move partners and customers beyond manual spreadsheets and reactive alerts. By using AI to deliver "predictive asset insights" and "adaptive infrastructure assessments", it aims to prevent outages before they happen.
For partners, this is a fundamental shift. It is crucial to understand that Cisco IQ is not a standalone product to be sold, but a unified digital interface embedded as a differentiated value within Cisco’s support and professional services. This AI-driven interface (the "Digital") handles the high-volume, predictive, and scalable tasks. This frees up the partner (the "Human") to stop chasing tickets and start delivering high-margin, strategic value, such as planning a campus refresh or an AI adoption strategy. This is the direct path to the "happier customers and higher margins" Centoni promised.
The Human Engine: Oliver Tuszik’s Sales Alignment
If Centoni is building the digital engine, Global Sales Leader Oliver Tuszik is aligning the human engine. Tuszik's core priority for his 80,000-person sales force is to be "committed to customer value".
Tuszik’s role is to ensure that Cisco's massive field organization and the partners' 500,000-strong salesforce are "winning as one team." This alignment is the missing link. A partner cannot deliver a premium CX if they are fighting a misaligned Cisco account manager.
The new sales compensation model, which gives Cisco sellers up to 50% more payout for selling a secure networking solution, is the financial-to-human mechanism. It ensures that Cisco's sellers are financially motivated to help partners deliver the exact "One Cisco" solutions that the 360 program and the Cisco IQ platform are built to support.
The Core Principle: Tim Coogan’s Currencies of Trust and Time
Tim Coogan, the partner organization lead, provided the philosophy that underpins both the digital and human engines. He argued that the old model is broken because it fails to respect the two most valuable assets a customer cares about. In his words, "ultimately, the two greatest currencies that you can be given in this world are trust and time.”
This single quote is the key to the entire partner strategy. The initiatives from Centoni and Tuszik are not separate; they are the practical, executive-level application of this core philosophy.
- Liz Centoni's Cisco IQ (the Digital engine) respects the customer's Time by being predictive and preventing downtime.
- Oliver Tuszik's Sales Alignment (the Human engine) builds Trust by ensuring every interaction, from the first sale to the renewal, is focused on delivering customer value, not just a product.
For partners, this is the new mandate. Success in the Cisco 360 Partner Program will be defined by a partner's ability to leverage Cisco's digital tools (like IQ) to become efficient, while using their own human expertise to become the strategic, trusted advisor that customers value.
The Analyst's Final Take
Cisco's pivot to become the "Distributed AI Infrastructure Orchestrator" is credible, comprehensive, and, most importantly, fully funded. They have correctly identified that AI cannot be delivered by a single product, but by an integrated, secure, core-to-edge platform.
The challenge ahead is one of execution. Can a partner ecosystem built over 20 years on resale and break-fix transition to a complex, software-led, lifecycle services model? The old-school reseller will struggle. But Cisco is providing the partners who are willing to make the leap with a clear blueprint (the "One Cisco" platform), a de-risked financial runway (the 360 program's 18-month lock-in), and a powerful new economic engine (the CPI) that directly funds the transition by "doubling down on adopt".
Cisco has just handed its partners the blueprint and the bankroll for the next decade of channel growth. The race is on to see who can build the fastest.