Techaisle Blog

As an analyst, I am trained to distinguish between strategic narrative and on-the-ground reality. I have watched Kyndryl’s journey since its spin-off with keen interest, tracking its core strategy of Alliances, Accounts, and Advanced Delivery. At its recent analyst briefing, Kyndryl provided compelling evidence that this strategy, particularly its alliance-led approach, is not just a narrative but a high-velocity revenue engine.

The company has successfully executed one of the most difficult pivots in the industry: shifting its center of gravity from a legacy infrastructure manager to an AI-first, consult-led transformation partner. The results are not trivial. Kyndryl is on a clear trajectory to grow its hyperscaler services revenue from $0.5B in FY24 to a projected $1.8B in FY26. Crucially, this shift implies a fundamental expansion in margin quality, as the company successfully breaks the linear link between revenue growth and labor intensity.

However, this success isn't just about reselling cloud services. The most profound insight from the briefing was the lynchpin for this entire pivot: the new Kyndryl Agentic AI Framework.

The Macro View: The End of Traditional Labor Arbitrage

To understand the magnitude of this pivot, we must contextualize it within the evolution of the IT services market. For two decades, the industry operated on a model of labor arbitrage—essentially engaging providers to manage legacy environments at a lower cost by shifting the work to lower-cost geographies. That model is now obsolete. The industry is undergoing a violent shift from labor-centric maintenance to IP-led modernization. "Keeping the lights on" is no longer a viable business strategy; value has migrated to "rewiring the building."

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:

1. A Reframed Platform Strategy: Solving the core-to-edge infrastructure and data barriers to AI.
2. A Comprehensive Security Doctrine: Weaving trust into the fabric of the network as a prerequisite for AI adoption.
3. 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.

The global midmarket is a tricky beast. It possesses the ambition and complexity of a large enterprise but often operates with the resource constraints of a small business. For years, Techaisle has maintained that the midmarket is the true battleground for technology growth, urging vendors to address its unique needs. In 2025, it seems that the call has been answered.

These organizations are the engine of economic growth. In fact, Techaisle data reveals this segment is a hotbed of high-growth businesses. Within the upper midmarket (1000-4999 employees), a remarkable 67% of firms are classified as high-growth, projecting an average revenue increase of 7.4% for the coming year. This trend continues in the core midmarket (100-999 employees), where 57% of firms are on a high-growth trajectory, anticipating revenue growth of 6.2%.

Yet, this very growth creates a constant tug-of-war between the need to modernize and the practical limitations of budget, time, and in-house IT expertise. According to Techaisle research, 78% of midmarket firms identify IT complexity as a significant obstacle to digital transformation, and 59% cite a lack of specialized skills as the primary barrier to adopting new technologies like AI. It is precisely this market reality that Lenovo is targeting with its latest suite of flexible solutions for SMBs and midmarket businesses.

Lenovo's announcement is not merely a product refresh; it is a strategic, cohesive, and channel-centric approach designed to de-risk technology adoption and accelerate time-to-value for the midmarket. The strategy is built on three interconnected pillars: simplified, pre-validated Business Solutions in a Box; accessible, outcome-focused AI Solutions; and flexible, intelligent Services & Platforms. This analysis will deconstruct these announcements to explore why they are differentiated and why they matter deeply to midmarket businesses and the channel partners who serve them.

The "In-a-Box" Approach – Building the Foundation for Growth

For SMBs and midmarket firms, unstable IT is like a cracked foundation—nothing innovative or ambitious can be built upon it. Yet, for years, midmarket IT teams have been forced to act as systems integrators, painstakingly assembling servers, storage, networking, and software into functional solutions. This process is time-consuming, fraught with risk, and diverts scarce IT resources from value-added projects. Lenovo’s "in-a-box" concept directly attacks this foundational pain point.

In a rapidly evolving IT landscape, where complexity is the new constant, technology vendors face immense pressure to deliver not just products, but cohesive and integrated strategies that address real-world business challenges. SUSE recently provided the analyst community with its "State of the Nation" update, offering a detailed look into its strategy, recent momentum, and future direction. The briefing reinforced SUSE's commitment to a four-pillar strategy, with a sharpened focus on integration and addressing critical market imperatives, including AI-driven operations, pragmatic modernization, and digital sovereignty.

At Techaisle, we see this as a pivotal move. SUSE is framing its value proposition not as a collection of open-source components, but as a unified blueprint designed to empower enterprises to innovate anywhere—from the datacenter to the cloud and the far edge—with choice and confidence.

The Four Pillars: An Integrated Stack, Not a Siloed Portfolio

SUSE's strategy is built on four interconnected pillars: Business-Critical Linux, Enterprise Cloud Native, Edge, and AI. While these pillars represent distinct technology domains, the real insight lies in how SUSE is architecting them as a synergistic stack designed to run anywhere, from developer environments to datacenters, the cloud, branch offices, and the edge.