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Four Predictions for How AI Will Change Software in 2026

AI & I

2025/12/31
AI & I

AI & I

2025/12/31
As 2026 begins, the pace of AI innovation shows no signs of slowing, with transformative shifts on the horizon for how software is developed and who will lead its creation. The conversation between Dan Shipper and Every COO Brandon Gell explores the evolving landscape of AI-driven development, focusing on structural, cultural, and technical changes set to redefine the industry.
The podcast highlights key trends shaping AI and software development in 2026. Agent-native architecture is emerging as a game-changer, enabling AI agents to perform user-level tasks and contribute autonomously to coding, with companies like Anthropic and Notion leading the way. Designers are becoming power users of AI, leveraging visual thinking to build digital experiences without traditional coding. A new breed of 'agentic' engineers is rising—professionals who direct AI agents rather than write code manually—signaling a shift in engineering roles and potential disruption in job functions reliant on repetitive tasks. Despite earlier optimism, AGI remains unlikely by 2027 due to unresolved challenges in autonomy and alignment. The next wave of AI training will focus on fostering independent decision-making, moving beyond pattern recognition toward goal-directed behavior. Meanwhile, organizational scaling introduces complexity, but AI tools offer pathways to maintain efficiency during rapid growth.
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AGI is more complex and unlikely by 2027
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Launched AI email assistant and appeared on Lenny's podcast, triggering rapid growth
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Designers will be the next big superheroes in the AI age.
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Disney partners with OpenAI to bring Disney characters into Sora
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Agentic engineers delegate programming to AI agents and manage them, a trend led by Anthropic.