How AI Will Reshape The Economy In 2026 (a16z Big Ideas)

The Rise of the Electro-Industrial Stack

Ryan McEntush introduces the concept of the “electro-industrial stack,” the combination of technologies powering electric vehicles, drones, data centers, and modern manufacturing. He argues that the next industrial revolution will occur within the machines themselves, not just in factories.

• The US vs. China Ecosystem Gap: While the US possesses the engineering capability to match China’s technology (e.g., in rare earth processing), it critically lacks a supportive industrial ecosystem. In China, a multi-tiered network of suppliers, component manufacturers, and raw material providers exists, alongside political bodies that enable rapid scaling. In contrast, leading US companies like SpaceX are forced to “vertically integrate by necessity, not strategy,” because the surrounding ecosystem of scalable partners does not exist. The challenge for the US is not the technology itself, but building the entire ecosystem, which could take decades.

• Building a US Industrial Ecosystem: To build this stack in the US, McEntush outlines three key strategies:

  1. Blend Talent: Combine Silicon Valley’s software culture and talent with the deep expertise of industrial veterans from legacy programs and contractors.
  2. Co-locate Operations: Place engineering and manufacturing in close proximity to facilitate concepts like “design for manufacturing” and accelerate development cycles.
  3. Build Prestige and Purpose: Attract top talent by framing the work as a prestigious, mission-driven endeavor, competing with the high salaries and perceived glamour of other software domains.

• Strategic Importance of Supply Chains: As software and AI become more integrated into automation, industrial, and military applications, owning the supply chains for core components—batteries, power electronics, compute, and motors—becomes a matter of national strategic importance. The countries that control these supply chains today will hold significant economic and military power in the future.

A Tipping Point in Financial Services and Insurance

Angela Strange predicts a dramatic turning point in financial services and insurance, where the risk of not replacing legacy systems finally outweighs the risk of change. Institutions will increasingly abandon decades-old mainframe systems for newer, AI-native competitors.

• The Power of AI-Native Infrastructure: The next generation of infrastructure doesn’t just add AI; it’s architected to unify data from disparate sources—legacy cores, external systems, and unstructured data—into a new, cohesive system of record. This unification is the key to unlocking the full potential of AI.

• Three Key Transformations: This shift will drive three major changes:

  1. Parallel Workflows: Workflows will become parallelized, eliminating inefficient processes like switching between screens and copy-pasting data. For example, a mortgage team could manage all underwriting tasks simultaneously, even using AI agents for mundane work.
  2. Expanding Software Categories: Traditional software categories will merge and expand. A single platform could unify customer data from onboarding (KYC/KYB), transaction monitoring, and customer service interactions into a comprehensive risk platform that combines fraud, risk, and compliance.
  3. 10x Winners: The new market leaders will be an order of magnitude larger, not only because the categories are bigger but because software will automate labor-intensive tasks that companies struggled to hire for.

• Why the Change is Happening Now:

  • Legacy systems are at their breaking point due to scale.
  • Companies realize they are leaving significant revenue on the table by being unable to leverage AI (e.g., insurers unable to process all incoming demand).
  • Strong, viable AI-first platforms now exist, built by technically proficient founders who have re-architected solutions for scale and flexibility.

• Opportunity for Early Adopters: Early adopters are already seeing massive gains, with some turning 5% margin businesses into 50% margin businesses. This creates a significant competitive advantage. The ultimate result of this infrastructure overhaul is a “beautiful experience” for customers, with personalized service and anticipated needs.

The Dynamic Agent Layer Overtaking Systems of Record

Sarah Wang argues that traditional systems of record (SoR) are starting to lose their dominance to an emerging “dynamic agent layer.” This new layer fundamentally changes enterprise software by collapsing the distance between a user’s intent and its execution.

• From Passive Records to Active Execution: Past attempts to unseat SoRs with better UIs (SaaS 2.0) failed because they didn’t offer a fundamental change. Today, AI agents can understand and independently act on user intent, creating a “magical 10x” improvement in user experience.

• The ITSM Example: The field of IT Service Management (ITSM), long dominated by ServiceNow, provides a clear example. A task like requesting access to new software can be reduced from a lengthy, multi-step process to a near-instantaneous one. The agent can extract intent from a user’s request, classify it, map it to a workflow, and fulfill it automatically.

• Where Value Accrues: In this new paradigm, value will be concentrated in two areas:

  1. The foundational model layer.
  2. The agent layer, which sits closest to the user, collecting data on their behavior and preferences to become increasingly personalized and effective.

• The Race for Reliability: The key to success is building agents that are accurate and reliable, earning the user’s trust. This is why new, agile startups are out-competing incumbents. Even agents built on top of established platforms like Datadog are losing to specialized AI-native companies that can iterate faster and build more reliable solutions. Wang predicts that 2026 will be the year this dynamic agent layer truly begins to overtake the static system of record.

• Tags:
• Supply Chain
• Enterprise Software
• AI Native
• Financial Services
• ITSM
• Legacy Systems
• Insurance
• Systems of Record
• Electro-Industrial Stack
• Industrial Technology
• Agent Layer