The Great Rearchitecture

Every few decades, a new technological architecture arrives that does more than create new products. It changes the way economic activity itself can be organized. The internet did this to information. Cloud computing did it to software. Mobile computing did it to commerce and communications. Today, a new convergence of software-defined resources, ubiquitous sensing and connectivity, and increasingly capable AI (combining content generation, coding, reasoning and workflow orchestration capabilities) is doing something potentially much larger: it is creating the conditions for a simultaneous rearchitecture of economic activity across almost every major industry.

This is not simply another wave of digital transformation. It is a fundamental change in the architecture through which assets, workflows, transactions, information and intelligence are coordinated. Because the change is occurring across industries at roughly the same time, it creates a rare window of opportunity.

The opportunity is not merely to make existing industries more efficient. It is to ask a more fundamental question:

What if we used the new architecture to redesign industries that have evolved into structures that no longer serve their participants—or society—as well as they could?

Technology creates the opportunity. Architecture determines the outcome.

Markets are extraordinarily powerful at discovering better ways to allocate resources. But markets do not automatically produce optimal structures.

Industries accumulate intermediaries. Distribution networks become concentrated. Information becomes opaque. Pricing becomes difficult to understand. Products become bundled because the architecture of distribution makes bundling economical. Rent-seeking structures emerge. Participants adapt to the existing system, and eventually the system itself becomes difficult to challenge.

These outcomes are not necessarily the result of a conspiracy or even bad intentions. They are the consequence of architecture. When the cost of coordinating millions of transactions is high, intermediaries become necessary. When information is difficult to collect, those who control information gain power. When assets cannot easily communicate with one another, organizations develop layers of management and distribution to coordinate them.

But when the architecture changes, constraints disappear, and an extraordinary possibility is presented. The convergence of software definition, universal sensing and connectivity, and context-capable AI could produce a new generation of platforms that do not merely digitize existing value chains—but disintermediate and recombine them, and rebalance how value is allocated across creators, platforms and consumers.

What the Great Rearchitecture Makes Possible

Consider what that could mean for the major platforms that shape our lives, where powerful technologies somehow leave us feeling things are getting worse: the Internet, streaming, e-commerce, enterprise platforms, SaaS, banking, insurance, production, real estate and more. Each example below envisions a system using the new architecture made possible by the arrival of agentic coding in late 2025.

The Internet: Restore user sovereignty and unlock infinite composability

The original promise of the internet was radically decentralized, yet much of today's consumer internet has evolved in the opposite direction. A relatively small number of platforms mediate access to information, relationships, commerce and attention. Users often receive "free" services in exchange for increasingly sophisticated harvesting of their attention and data. Advertising becomes the organizing principle. Content is optimized for distraction, rather than usefulness.

The result is an extraordinary amount of noise, or worse, a growing gap between the user and what the user actually wants.

A new architecture can change that relationship. Instead of requiring users to navigate an enormous collection of applications, websites and advertising-driven interfaces, AI can become a context-aware intermediary acting on the user's behalf. The user expresses an objective. The system discovers, composes and executes the necessary resources.

The internet becomes more about composing whatever capabilities are necessary to accomplish what the user wants. The economic opportunity is not simply a better search engine or a better interface, it is the possibility of restoring user sovereignty—reducing dependence on advertising, reducing unnecessary intermediation and enabling essentially infinite composability of digital resources.

Streaming: Free creators from distribution monopolies

Streaming was supposed to liberate entertainment from the physical distribution networks of television, cable and recorded media. Instead, the old distribution bottleneck was replaced by a new one. Content is now divided among competing services, each with its own subscription, interface, recommendation engine and commercial incentives. Consumers face an absurdly fragmented discovery experience, while creators depend on powerful intermediaries who pay them less and less.

The new architecture makes a different model possible. Imagine content as a universally addressable resource that can be dynamically discovered, combined and presented according to the user's intent. Instead of asking: "Which streaming service has this?" the user asks: "Show me the best version of this experience."

The architecture assembles it. This is infinite composability applied to media. It also changes the economics of distribution. When discovery and delivery become increasingly software-defined, the distribution layer becomes less capable of extracting rents simply because it controls access.

The opportunity is to move value toward the people who create the underlying content while making discovery dramatically simpler for consumers.

E-Commerce: Disintermediate concentrated distribution

E-commerce removed the physical limitations of retail, but it also produced new concentrations of power. The largest platforms increasingly control discovery, distribution, logistics, payments, customer relationships and the economic data generated by transactions. The paradox is striking: a technology that gave virtually anyone access to the global market simultaneously created extraordinarily powerful intermediaries between creators and consumers.

A new architecture can break apart that concentration. Software-defined commerce can allow products, creators, logistics providers, financing, fulfillment and customers to be dynamically recombined in new “value chain networks.” Rather than own every part of the transaction, an agentic platform coordinates the ecosystem. That distinction is profound. The objective is not simply maximizing the extraction of value by the distribution platform, but maximizing the value created by the network itself. Innovation can then be rewarded across a much broader population of creators, manufacturers and service providers.

SaaS: From unwieldy bundles to precision

Software is one of the greatest productivity tools in history, yet enterprise software evolved its own bottlenecks: enormous bundles of functionality, complex licensing structures, overlapping applications and expensive services organizations don’t actually need. The platform architecture of SaaS encourages vendors to sell software as a product, rather than as a solution tuned to an organization's actual needs.

AI changes the economics. If software capabilities become composable resources, rather than fixed applications, an enterprise can assemble the precise capabilities required for a particular workflow. The question changes from: "Which software package should we buy?" to "What outcome are we trying to produce, and what combination of software, data, models and services will produce it most effectively?"

That fundamentally different architecture promises to replace overpriced bundles of mediocre functionality with highly tuned combinations of capabilities.

Banking and Insurance: Re-price risk based on ground truth

Few industries reflect information asymmetry more than banking and insurance. Consumers routinely encounter complicated products, opaque pricing, fragmented information and contractual structures that are difficult to evaluate.

The resulting uncertainty has an economic cost. Where participants cannot easily observe or quantify risk, they demand compensation for bearing uncertainty. Intermediaries build businesses around that uncertainty. Complexity itself becomes economically valuable.

Universal sensing, real-time data and AI-driven analysis can attack that structure at its foundation. Instead of relying on incomplete historical information and generalized assumptions, financial systems can increasingly incorporate definitive, context-specific information about assets, behavior and events.

The result is much more than automation, it is the compression of uncertainty. As uncertainty falls, unnecessary risk premiums can fall with it. Transparent data and machine-readable transactions can allow participants to understand what they are buying, what risks they are assuming and how those risks are changing.

The opportunity is therefore to make financial markets more transparent not by trying to regulate complexity away, but by building an architecture in which complexity is reduced at the outset.

Enterprise: Coordinate silos with control towers to make the organic enterprise

Another defining element of the Great Rearchitecture will be the emergence of enterprise “control towers” that can coordinate functions previously managed as separate silos. Today, supply chains, manufacturing, logistics, finance, sales, demand shaping, and customer service often operate through disconnected systems, each optimizing its own objectives rather than the performance of the enterprise as a whole. With agentic AI, universal sensing, and software-defined resources, a control tower can provide a higher-level architecture for orchestrating these functions in concert. It can continuously assess demand, inventory, production capacity, transportation, cash flow, and customer requirements, then dynamically allocate resources across the enterprise to optimize outcomes. A change in customer demand can trigger coordinated adjustments to procurement, manufacturing, distribution, and pricing, rather than a series of delayed, disconnected decisions. By breaking down functional barriers and enabling optimization across the entire system, these architectures can unlock substantial gains in efficiency, reduce waste, and allow enterprises to respond to changing conditions at machine speed.

The significance of this shift extends beyond automation: it is a reconfiguration of how enterprises create and capture value. Agentic coding and orchestration can make previously fixed enterprise systems infinitely more composable, allowing businesses to integrate new capabilities, reorganize workflows, and deploy specialized AI agents without rebuilding their entire technology stack. A control tower can coordinate not only internal functions but also external suppliers, partners, and service providers, creating a continuously adapting network of productive capacity.

Strong IP rights can protect the architectures and innovations that make this coordination possible, while ensuring that the creators and developers of those systems participate in the value they unlock. The result is an enterprise that operates less like a collection of independent departments and more like a unified, intelligent organism—one that can continually reconfigure itself in response to market conditions, improving productivity and resilience while opening new opportunities for value creation across the ecosystem.

Construction: Turn the physical world into data

Construction may be one of the clearest examples of an industry whose economic structure has been shaped by information limitations. A project can involve owners, architects, engineers, general contractors, subcontractors, suppliers, lenders, insurers and numerous other participants. Each operates with different information. Data becomes fragmented, responsibility becomes difficult to trace, changes propagate slowly, and payments and disputes must cascade through multiple tiers.

The result is a value chain in which opacity is built into the industry structure; meanwhile, the physical world is becoming increasingly observable. Sensors, connected equipment, digital twins, computer vision, AI and software-defined workflows can create a continuously updated representation of what is actually happening.

That creates the possibility of something construction has historically lacked: definitive real-world data connected directly to transparent transactional workflows. The opportunity is therefore not merely to make construction software more efficient, it is to re-architect the value chain around verifiable reality.

Local Production: Meet localized demand with modular systems

An important element of the Great Rearchitecture will be the emergence of local production systems that combine modular energy, robotics, advanced manufacturing, and context-capable AI to satisfy demand where it occurs. Instead of relying exclusively on vast, centralized factories and global supply chains, communities will be able to deploy flexible production systems that are configured to make what local consumers and businesses need. In food production, for example, modular energy systems can power controlled-environment agriculture, automated greenhouses, and robotic harvesting, while AI orchestrates the use of energy, water, materials, and labor to produce fresh food close to its point of consumption. The same principles can extend to other goods, from construction materials and household products to specialized industrial components, with production capacity dynamically reconfigured as local demand changes. These systems would not eliminate global trade or large-scale manufacturing, but they would add a new layer of distributed productive capacity that makes communities less dependent on distant suppliers and more capable of meeting their own needs.

The economic significance of this shift is that local production can become an infinitely composable package of value rather than a fixed industrial facility. Agentic coding and orchestration can integrate modular energy, robotics, software-defined machinery, sensing, and intellectual property into production systems tailored to particular communities, industries, and demand patterns. A local producer might combine a licensed agricultural architecture, a robotic manufacturing module, and an energy-management system to create a new business without having to develop every underlying technology itself.

Strong IP rights can ensure that the creators and developers of those components participate in the value generated by their use, while local operators, workers, and consumers capture a greater share of the economic benefits. In this way, the Great Rearchitecture can turn communities from passive consumers of centrally produced goods into active participants in a distributed economy of production, innovation, and value creation.

AI Factories: Turn AI infrastructure into community economic engines

Perhaps the most consequential example is emerging around AI itself. The AI factory—data centers increasingly optimized around the production of intelligence—will require enormous amounts of capital, electricity, land, connectivity and infrastructure. That creates legitimate concerns about externalities: Who bears the cost of power consumption? Who benefits economically? How are infrastructure investments allocated? and What happens to local communities?

The conventional answer is to treat the data center as a large industrial facility and attempt to mitigate its externalities through regulation, taxation or negotiated agreements.

A more ambitious architecture is possible. If the resources, workloads, energy consumption, revenues and economic outputs of an AI factory can be software-defined, sensed and orchestrated, then the facility can become an economic system whose benefits are measurable, segmentable and contractually allocable. Economic benefits can be tied directly to the resources and stakeholders that make the system possible.

Communities can participate in the value created. Infrastructure developers can be compensated based on value, rather than square footage or nominal energy capability. Energy, compute, and other resources can be dynamically optimized. Workloads can be routed according to economic, environmental and geographic objectives. The AI factory becomes a community economic engine.

The Common Architecture for Economic Coordination

The diverse examples above all involve some combination of long-felt market failures: concentrated intermediaries; information asymmetry; fragmented discovery; opaque transactions; unnecessary bundling; high coordination costs; or externalities. Each can transformed by combining the same underlying architectural capabilities:

• Universal sensing and connectivity
• Context-capable AI
• Software definition of assets and workflows

Together, these capabilities allow physical and digital resources to become observable, addressable, composable and dynamically orchestrated at machine speed. Rather than isolated digital transformations, we are witnessing the emergence of a common architecture for economic coordination. Foundational rights on variants of this architecture and the systems that use it will have value independent of which application, model, cloud, agent platform, or industry player succeeds. The architecture underpins all of them.

The Special Sauce: Market Structure

Technology alone does not dictate the outcome. The same architecture can democratize an industry or create a monopoly. A platform can use composability to empower millions, or control the orchestration layer to extract rents. A system can make information transparent—or centralize it in a platform. AI can reduce intermediation, or create an even more powerful intermediary.

The central question is not whether technology will disrupt industries, it is who will establish the business structures, and how will the resulting economic value be allocated. This is where the market and intellectual property intersect.

Intellectual Property as a Steering Mechanism

At its foundation, the patent system is an exchange. Creators receive a temporary property right as consideration for disclosing an invention. Society receives disclosure and freedom to practice when the patent expires. The patent system attracts private investment to inventions that generate broader social value.

When an entire industry is being re-architected, patents provide bargaining leverage within an emerging ecosystem that influences how economic surplus is allocated. The holder can deploy the invention where it creates the greatest value, or share exclusivity in alliances. The holder can establish access conditions for competitors and/or license the technology where broad adoption creates greater economic benefit. Importantly, the holder can help prevent an architecture from becoming controlled exclusively by an incumbent whose economic interests depend upon preserving the old value chain.

A strong, system-level patent is ultimately an instrument for shaping the rules of the market that forms around a new technology.

From Disruption to Reconstruction

The conventional narrative of technological disruption is about winners and losers, but that framing misses the most important possibility: disruption creates a period during which the rules themselves are negotiable.

When an old architecture is collapsing and a new architecture has not yet fully crystallized, there is a window in which new participants can establish the structures that will govern the next generation of economic activity.

Once a new architecture becomes entrenched, new intermediaries emerge. Networks consolidate. Switching costs accumulate. Economic rents become embedded. The new system might look remarkably like the old one. The opportunity is not simply to build another successful platform, it is to use the transition to build better markets, where users have greater sovereignty, creators capture more of the value they create, businesses buy what they actually need, risk is properly priced, transactions are based on verifiable truth, and communities participate in the economic value generated by the infrastructure they host.

The Great Rearchitecture

The current technological revolution may ultimately be remembered less for the individual AI models, applications and platforms it creates than for something more fundamental: the reorganization of economic activity around a new architecture.

The opportunity is enormous, but the outcome will be determined not just by architecture, but by the surrounding economic structures negotiated by those who control foundational rights. That is why patents may play a surprisingly important role in the next phase of technological transformation. The patent system gives inventors something rare in a free market: a legally enforceable right that can persist across competitors, business models and industry boundaries.

Used thoughtfully, those rights can provide more than defensive protection. They become steering mechanisms for market architectures, allowing innovators to capture legitimate rewards while structuring access in ways that encourage broader adoption and value creation.

The goal of the next technological revolution should not merely be a more efficient version of the old economy. It should be an economy architected to distribute the benefits of technological abundance.

Where Strong Force Comes In

The simultaneous rearchitecture of major industries creates an unusual opportunity to redesign value chains before new monopolies and intermediaries become entrenched. Strong Force's estate of 1,000+ patent assets was assembled around the higher-level architectures that enable this transition—providing not merely rights to individual technologies, but potential leverage over how the new economic systems are structured.

We believe this is a powerful resource for the Great Rearchitecture. For full advantage, Strong Force needs an institutional partner with influence across industries and throughout an emerging AI value chain where value is growing in three key positions: enabling infrastructure, forward deployment architecture, and AI-driven systems.

With that partner, Strong Force has the potential to elevate multiple winners in the largest market in history and provide an orthogonal mechanism of structural control to hedge and/or complement other AI investments (less subject to the execution risks of operating companies).

As Internet-era concentration of power gives way to the Great Rearchitecture, we also aspire to play a part in restoring the balance among creators, platforms, enterprises and consumers.