Interplanetary Blindness
The biggest value in AI is the part no one is looking for.

No one notices that Saturn has a big blue streak coming out the top of it. Why? Because no one is actually looking at photos of Saturn that contain the streak.
The streak is real. Cassini photographed a brilliant blue aurora and a strange six-sided jet stream over Saturn's north pole, but almost everyone has only ever seen the same handful of golden, ringed glamour shots. The point holds either way. A thing can be fully visible and still go completely unseen, because attention is pointed somewhere else. We look at the picture we expect, we confirm it matches, and we move on. The information that would have changed our minds was right there in the frame. We just were not looking at the frame that held it.
Most businesses have a Saturn problem. They are not short on ideas, or even the data to support new AI projects. They are short on visibility of where and how to use it.
Every company has dashboards. They track everything under the sun, from revenue, pipeline, retention, utilization, and operational performance to cost and beyond. Those measurements matter. But they are also a reflection of the questions the organization already knew to ask. A dashboard is a frame, and a frame shows you what you pointed it at. It cannot show you the thing happening just outside the edge. And it certainly cannot show you what is ahead, especially when the world is being disrupted by AI. So look at the frame you use to view your business today. Now zoom out, past the metrics, to the power behind them and the reason they exist at all. That is where the blue streak is. And right now, the streak is this: someone is recreating your business with AI as you read this, or solving the problem you solve with AI in a way that makes your version of the business irrelevant.
The streak nobody is looking at in your company I came to know an insurance company last year that was pouring its energy into better services and smoother pipelines for its human agents. Faster quoting tools, cleaner handoffs, a tighter funnel. All sensible work, and all of it pointed at the same frame they had always used. What no one was looking at was that in some of their segments, a growing share of customers had already stopped calling an agent at all. Some states now allow AI insurance agents, or at least have not moved to stop them yet. And an AI version of a field agent does not work one territory at a time. It replicates itself across every area at once, which means it can duplicate your entire field force, and your business, without needing a single one of your people. So the customers were describing their situation to an AI assistant, getting a comparison, and binding coverage without a human in the loop. Meanwhile, the company was busy optimizing a channel that was quietly draining underneath them. The dashboard for agent productivity looked great. The dashboard that would have shown the agent itself becoming optional did not exist, because no one had thought to build it.
The numbers are no longer speculative. Since the start of 2026, roughly $2 trillion in software market capitalization has been wiped out, with January 29, 2026 now cited as the worst single day for software stocks since the COVID crash of March 2020. Public SaaS valuations compressed about 25% from their peak, and per-seat pricing, the model the entire industry was built on, fell from 21% to 15% of enterprise contracts in twelve months. The reason is simple. When an AI agent can act as the user, you no longer need to buy a seat for a person.
This pressure is heaviest on software companies, but the underlying force is not. It reaches everyone, because the cost of building a replacement has collapsed. As of early 2026, an estimated 41% of all code is AI generated, up from roughly 6% in 2023, and 84% of developers now use AI coding tools. The practical translation: nearly anyone with a clear idea and an AI agent can stand up a working alternative to a product or service that used to take a funded team a year to build. The moat that used to be "it is hard to build this" is draining fast.
That is the frame most leadership teams are not looking at. The dashboard says revenue is fine and retention is holding, and it is, right up until the quarter it is not, because the dashboard was never designed to show you the competitor who does not exist yet.
This is especially true of some small and mid-sized law firms. Many will begin to see revenue decline without understanding why. And in their case no one is even building an AI agent to replace a piece of software. Clients are simply bypassing the normal legal workflow, using AI to handle the research, the first draft, and the routine matter that used to walk through the firm's front door. The work did not get cheaper. It stopped arriving.
Stop pointing AI at the processes. Point it at the purpose.
That pattern, an insurer optimizing a vanishing channel, a firm watching its intake thin out, is the same lesson in two industries: leaders in every sector need to stop pointing AI only at their processes and start pointing it at their purpose. Here is where most AI conversations go wrong. They start with the processes. Make the workflow faster, make the report automatic, make the team more efficient.
We absolutely believe in that work. Speeding up delivery and making your people, processes, and data more efficient, effective, and usable is real value, and we do it and do it well. But it is the smaller half of the story. Efficiency makes you better at running the business you already have. It does nothing for you if the business you already have is the one being made irrelevant.
The bigger question is about direction, purpose, and impact. What is this business actually for, who is it for, and is that need still going to be met the same way in eighteen months? That is where the true power of AI sits. Not in shaving minutes off a process, but in helping you see the streak early enough to do something about it, and then giving you the means to move before someone else does. One-stop shopping for agile and AI product delivery Seeing the streak is only useful if you can act on it. That is the gap we close.
When the market shifts, most companies discover they are not built to pivot. The idea is clear, but standing up a new product means assembling developers, designers, data people, and an AI strategy, and stitching them together while the window closes. By the time the team is ready, the moment has passed.
Summit Tech exists to remove that lag. We are the single source for agile and AI product delivery, which means you bring the direction and we bring everything required to turn it into something real and in market: the strategy, the build, the AI, and the speed. Our standard engagement is a two-week embedded sprint that ends with a prioritized backlog and a working prototype, not a slide deck of recommendations. Once we have the backlog paired with strategic direction, we can marshal all the forces for a meaningful pivot. The point is not to study the pivot. The point is to make it, fast enough that agility becomes something your business actually has rather than something it wishes for. Your competitors are counting on you to keep staring at the golden, ringed glamour shot of the business you have always run. The streak is in the frame. Once you have seen it, the only question that matters is how quickly you can move. That part, we handle.
If you want a fresh set of eyes on the frames your dashboards skip, that is a good first conversation. You can start one at summittechpartners.com/discovery.
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