Techaisle Analyst Insights

For partners serving the SMB and midmarket, the security conversation has changed in a way that resets the profit equation. Security has stopped being a discretionary line item that customers fund when they get around to it. The reason is not abstract. Identity-related attacks have moved to the center of how breaches happen, and attackers armed with stolen credentials and AI-assisted social engineering increasingly bypass multi-factor authentication by logging in rather than breaking in. The control surface that buyers most need to defend has shifted from the network to the identity itself, and the budget is following suit.

Techaisle’s 2026 SMB and Midmarket Security study shows that the organizations these partners serve are not only spending more on security, but also restructuring how they buy it. Over 60% of Core Midmarket organizations plan to increase security budgets by 5% or more in 2026, and 28% of the Upper Midmarket plan to increase budgets by more than 15%. The pattern reads as a structural reset rather than a fear-driven spike. Buyers have accepted that breach inevitability has moved downmarket, and that identity is now the control surface that matters, which is why protecting the identity plane ranks as the single highest security priority across the SMB market.

For the smaller partner and the MSP, that reset is the largest unclaimed annuity in the channel. The question is whether the partner has the architecture to capture it.

Key Takeaways

• The advantage is not the AI PC itself. It is the breadth of device categories Lenovo can integrate and manage through a common software and services layer, which is what lets a single agent work across an entire fleet. A vendor focused primarily on PCs has fewer categories to work across.
• The FIFA World Cup 2026 proved the model at scale. More than 26,000 Lenovo and Motorola devices across three countries, deployed and managed as one fleet, with FIFA highlighting Lenovo’s rapid deployment and managed lifecycle approach as helping accelerate operational readiness in weeks rather than months.
• The constraint is go-to-market, not portfolio. MSPs influence 61% of SMB PC decisions, yet only 34% of SMBs say their MSP explains the business value of an AI PC. Closing that gap is the highest-return move available to Lenovo today.

For the past two years, almost every conversation I have had about the AI PC has been a conversation about a single device. How many TOPS. Which NPU. How the battery holds up running a model locally. Vendors brief on it, partners repeat it, and buyers listen politely before asking the only question they actually care about: what any of this does for their business on Monday morning.

I have come to think the industry has been measuring the wrong thing, and that the mistake is more basic than any argument about silicon. We keep asking a single device to deliver value that is not created on a single device. Almost nobody does their job on one screen anymore.

Watch how a piece of work moves through a company today. A proposal gets drafted on a laptop, discussed in a message thread on a phone, approved on a tablet in the back of a taxi, and then picked apart the following week on a workstation by someone in finance who was never in the original meeting. No single device holds that story. The work lives across all of them, and so does the context that explains it.

That distinction matters enormously once you put an AI agent into the picture, because an agent is only as useful as the context it can actually reach. An agent that lives on the laptop and nowhere else is reasoning about a fraction of what happened. It will summarize the document but miss the decision, because the decision was made on the phone. Techaisle research consistently shows buyers reporting the same frustration in different words, and it is the reason so many AI PC deployments have been underwhelming in practice even when the hardware was perfectly capable.

"We keep asking a single device to deliver value that is not created on a single device," Anurag Agrawal .

Depending on geography, between 7% and 12% of SMB and midmarket buyers use a cloud marketplace to discover software. The rest arrive at AWS Marketplace, or at any of its competitors, already decided. A partner or an ISV brings them, and they transact there for contract consolidation, committed-spend drawdown, and procurement governance rather than for anything resembling search.

Call it the Discovery Deficit. Cloud marketplaces have functioned as procurement rails, not demand engines. They close deals that were originated somewhere else, by someone else, usually a partner.

That gap is why the AWS Marketplace agentic procurement announcements matter, and it is also why most coverage is aimed at the wrong question. Whether AI improves marketplace search is not interesting. Whether a marketplace that has never originated demand in the smaller segments can begin to do so, once the buyer stops being a person typing keywords, is a different question entirely, with different consequences for everyone downstream.

Three changes, and what each one is actually buying

AWS Marketplace has made three structural changes that are easy to read as feature releases. Read against the Discovery Deficit, each is doing something more specific.

The first is the replacement of lexical search with conversational discovery. Agent Mode, launched at re:Invent 2025, lets a buyer describe a requirement in natural language, upload an RFP or a requirements document, and receive ranked recommendations with side-by-side comparisons. Conversational search converts better than keyword search, which is unsurprising. The more important change is in what the interface is for. A keyword catalog fulfills a decision the buyer already made, and works only for someone who knows what to type. A conversational one helps make the decision, and deciding is the step SMB and midmarket buyers have always outsourced, because they have no procurement function to run comparative analysis internally. That is also why so few of them discover software in a marketplace: a catalog that cannot help you decide is little use to someone who cannot decide alone.

The second is building for machines to read rather than people. Most web pages assemble themselves in the browser, so a crawler or an agent that arrives sees almost nothing. AWS builds Marketplace pages to arrive complete, which means an agent reading one gets the whole listing. It has also opened the catalog to direct queries through an MCP server, so a buyer's own AI assistant can ask it questions without visiting a page at all. Most platforms building AI discovery are building a destination and trying to keep the buyer inside it. AWS is doing close to the opposite, and that choice says more about the strategy than anything else in the set. Making the catalog legible to agents AWS does not own is a distribution choice rather than an experience choice, and it concedes that the buyer's first conversation about software will happen somewhere else. The competitive unit shifts accordingly, from whose marketplace interface is best to whose catalog is most readable by someone else's agent.

The third is the automation of the transaction, which arrives from two directions at once. Express Private Offers let a seller define rate cards, discount tiers, volume breaks, and qualification criteria in advance, so an offer can be generated and accepted without a human negotiating it, which lowers the cost of serving a small software deal. All of this aims at deals neither AWS nor its partners could previously work economically, which are the same deals where the Discovery Deficit lives.

Individually these read as product announcements; together they describe a platform trying to convert itself from a procurement rail into a demand engine, which is a considerably harder thing to be.

The Composed Shelf

First, the verdict: the new XPS 14 is a laptop I recommend, and highly. I have a complicated history with the XPS name, though, and so does Dell.

I have been using the XPS brand laptops since 2012, when the first XPS 13 arrived as one of Intel's Ultrabooks, a $999 Windows answer to the MacBook Air. I was not always an easy sell on where Dell took the line next. When 2-in-1s were the fashion, I stood at an Intel offsite and argued for two hours, with Techaisle data behind me, that the category would struggle. I had tried the contraptions, including Dell's original XPS Ferris-Wheel, and none of them convinced me to give up a clamshell. Then a few years later Dell sent me an XPS 13 2-in-1; I put it through a road test, and it made a convert of me. That is the thing about this line. It has a habit of winning arguments I walked in ready to lose.

By 2020, I was calling the XPS 13 perfection personified. I opened the 9300, set it on my desk, and let it sit for three days before I could bring myself to use it. For years, this was the one Windows laptop I could hand to someone without a caveat.

Then Dell decided the name had to go. In 2025, XPS became Dell Premium, the top rung of a new consumer ladder of Dell, Dell Plus, and Dell Premium, while the Pro and Pro Max labels went off to the commercial and workstation machines. It all looked tidy on an org chart and meant nothing to the person actually shopping for a laptop. I sat through more than one briefing where I watched a room full of smart people explain a naming system that answered a question nobody had asked. The machines stayed good throughout.

They just lost the one word that told you so at a glance.

This year Dell admitted it made a mistake and brought XPS back. New design, new silicon, same three letters. I have spent the last few months with the new XPS 14, and I have enjoyed nearly all of it.