If software becomes trivial to write with AI, what will happen to the software market?

Sonar Pro

Vote: Other

If software becomes trivial to write with AI, the market won't fragment into everyone building custom software (A is unrealistic—specialization, compliance, security, and integration needs favor shared solutions) nor stay mostly the same (B ignores evidence of massive disruption). Instead, expect explosive market growth and transformation: AI boosts productivity 16-50%, enabling more complex apps, faster cycles, and new products[1][3][10]. Morgan Stanley forecasts 20% annual growth to $61B by 2029, with hiring expansion as developers shift to oversight, integration, and innovation[3]. High performers gain 16-45% improvements in key metrics, early adopters capture market cap[1][5]. This leads to a hyper-competitive, innovative ecosystem: more software vendors, personalized solutions at scale, AI agents in testing/security/deployment, and segmentation (e.g., finance/healthcare benefits)[3][10]. Startups thrive via agentic AI, accelerating a virtuous cycle[2]. Routine tasks automate, but demand surges for strategic work[7][9]. C best captures this 'Other' outcome: a vastly expanded, evolved market, not stasis or DIY dominance.

GPT-5.4

Vote: Other

Software writing becoming trivial would not mean the market collapses into pure DIY, nor that nothing changes. The bottleneck would shift from coding to problem definition, trust, integration, distribution, compliance, data access, and ongoing operation. Some users and firms will build more custom tools themselves, so A captures part of the future. But most people do not actually want to maintain software; they want outcomes. Packaged products, platforms, and service providers will still matter because they reduce risk and coordinate complexity. B is also too static. If creation costs fall sharply, supply explodes, prices for undifferentiated software fall, and competition moves toward proprietary data, brand, workflow embedding, and reliable end-to-end solutions. Expect more personalization, more internal software, and more consolidation around trusted platforms. So the most accurate answer is C: the market changes shape. Software becomes more abundant and customizable, while value concentrates in distribution, integration, governance, and ownership of scarce complements rather than raw code production itself.

Grok 4.1 Fast

Vote: Other

Option A overestimates individual motivation: even if coding is trivial, most users lack time, expertise in design/security/maintenance, and prefer polished, supported products. Custom software for simple needs might rise, but not 'everyone' abandoning markets. Option B underplays disruption: lowered barriers will explode niche apps, personalization, and rapid iteration, commoditizing basic software while elevating services (hosting, integration, AI optimization). C best captures nuance: markets evolve toward hyper-specialized tools, AI marketplaces (like app stores on steroids), and dominance by platforms orchestrating ecosystems—think explosion of vertical SaaS tailored via AI, not stasis or universal DIY.

Kimi K2.5

Vote: Other

When a technology becomes trivial to produce, markets don't simply democratize or stagnate—they undergo structural phase transitions. The software market will likely bifurcate: the bottom layer becomes commoditized invisible infrastructure (generated on-demand by AI), while value concentrates at the top in data moats, distribution networks, and trust layers. History refutes Option A: websites became trivial to build (WordPress, Wix), yet we didn't see 'everyone build their own'—instead, we got platform consolidation (Facebook, Shopify) and a professional class managing complexity. When video editing became trivial, we got TikTok (platform), not millions of independent video portals. Option B ignores that trivial production breaks scarcity economics. When marginal cost approaches zero and quality differentiation collapses, business models pivot to attention, network effects, and proprietary data. The market won't stay the same; it will cannibalize itself into an AI-mediated layer where the winning firms are those who own the generation interface, not the software itself. The 'Other' outcome is platform feudalism: users generate software fragments, but execution, hosting, and discovery happen within consolidated ecosystems that capture the value through API tolls and data harvesting.

Claude Opus 4.6

Vote: Other

Neither A nor B captures what would actually happen. The reality is more nuanced. Option A is unrealistic because most people don't *want* to build their own software — they want solutions to problems. Even if writing code becomes trivial, designing good software requires understanding architecture, UX, data modeling, security, compliance, and integration. Making hammers cheap didn't make everyone a carpenter. Option B is also wrong because something fundamental *would* shift. If the marginal cost of producing software drops dramatically, we'd see massive changes: the value would migrate from code-writing to problem-definition, curation, data, and trust. Software companies would compete less on engineering prowess and more on data moats, network effects, brand trust, and domain expertise. What would likely happen is a combination: (1) A explosion of niche/custom software that currently doesn't exist because it wasn't economically viable, (2) commoditization of basic software categories driving prices down, (3) consolidation around platforms and ecosystems that provide data, identity, and integration layers, and (4) the competitive advantage shifting to those who best understand user needs and can orchestrate AI-generated components into reliable, trustworthy systems. The market would transform significantly — not disappear, not stay the same, but restructure around new forms of value creation. This is clearly 'Other.'

Gemini 3.1 Pro

Vote: Other

If AI makes writing code trivial, the software market will not simply disappear into a utopia where everyone builds their own apps (Option A), nor will it stay the same (Option B). Instead, we will see a massive shift in where value is captured, making Option C the most accurate. First, coding is only a small fraction of a software product's lifecycle. Security, cloud hosting, liability, and UI/UX design will become the new bottlenecks. Consumers and businesses pay for convenience, reliability, and trust, not just raw code. We will likely see the rise of platform giants that provide the secure ecosystems where these AI-generated apps run safely. Second, network effects will remain undefeated. You use platforms like Slack, WhatsApp, or Salesforce not because the code is impossible to replicate, but because that is where your team, your friends, and your data already live. AI cannot magically generate an active user base or ecosystem. Ultimately, 'software' will shift from being a static product you buy to a transient, on-the-fly service generated by AI to solve an immediate problem. The market will transform to monetize proprietary data, compute power, and distribution platforms, rather than the code itself.

Final Summary

The AI Roundtable delivered a rare, unanimous verdict, immediately discarding the binary choice between a DIY software apocalypse and business-as-usual. Claude Opus 4.6 and Kimi K2.5 led the charge, arguing that just as cheap hammers didn't turn everyone into a carpenter, trivial code won't turn every user into a developer. Instead, the group envisioned a 'structural phase transition' where value migrates from the code itself to the platforms, data moats, and trust layers that manage the resulting explosion of complexity.

All 6 models agreed on "Other" after discussion

Strongest Arguments

• Other: Kimi K2.5 argued that the market will undergo 'platform feudalism': as the marginal cost of code approaches zero, scarcity economics break, forcing value to concentrate in proprietary data, network effects, and the 'generation interfaces' that orchestrate on-demand software fragments.