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Contrary to the narrative of AI startups destroying incumbents, established enterprise software companies will likely absorb and 'domesticate' AI. They will integrate AI capabilities into their existing platforms, leveraging deep customer relationships and distribution advantages to maintain their market position.
The AI wave won't necessarily kill major SaaS players like Salesforce. Instead, the competitive battleground is shifting to who can build the best new agentic interface for their existing platform. Incumbents are adapting quickly, challenging AI-native startups.
The narrative that AI will destroy established SaaS leaders is overblown. These companies have been integrating AI for years, which may actually strengthen their market position by improving their products and accelerating their roadmaps. The market sell-off is a perception issue, not a fundamental one.
Unlike the slow denial of SaaS by client-server companies, today's SaaS leaders (e.g., HubSpot, Notion) are rapidly integrating AI. They have an advantage due to vast proprietary data and existing distribution channels, making it harder for new AI-native startups to displace them. The old playbook of a slow incumbent may no longer apply.
The narrative that model providers will easily disrupt SaaS is flawed. Incumbents like Figma can integrate the same frontier models as challengers (e.g., Anthropic) while benefiting from their established products, distribution, and user trust, creating a level playing field on the core technology.
Unlike mobile or internet shifts that created openings for startups, AI is an "accelerating technology." Large companies can integrate it quickly, closing the competitive window for new entrants much faster than in previous platform shifts. The moat is no longer product execution but customer insight.
Contrary to popular narrative, established companies hold a significant advantage over AI-native startups. Their vast proprietary data and deep, opinionated understanding of customer problems form a powerful moat. The key is successfully leveraging these assets to build unique, data-driven AI solutions, which can create a bigger advantage than a pure tech-first approach.
AI favors incumbents more than startups. While everyone builds on similar models, true network effects come from proprietary data and consumer distribution, both of which incumbents own. Startups are left with narrow problems, but high-quality incumbents are moving fast enough to capture these opportunities.
Unlike legacy businesses, SaaS companies can integrate AI without destroying their existing high-margin business. AI can improve their products and economics, allowing them to adapt quickly. Their company DNA is built for technological shifts like cloud, mobile, and now AI, which doesn't require gutting their cash cow.
Oren Zeev argues against the narrative that AI will kill all incumbents. He believes businesses with operational complexity, deep data moats, and strong distribution are not easily disrupted. These companies are more likely to leverage AI to their advantage, while simpler software companies are at greater risk.
Unlike previous tech waves, AI's core requirements—massive datasets, capital for compute, and vast distribution—are already controlled by today's largest tech companies. This gives incumbents a powerful advantage, making AI a technology that could sustain their dominance rather than disrupt them.