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The new norm, enabled by AI, is that all employees, regardless of role, contribute across functions. Everyone is expected to ship code, run marketing campaigns, build apps, and promote their work on social media, in addition to their core specialty.

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AI tools are blurring the lines between roles like product management, UX design, and development. A single skilled individual can now leverage AI to handle tasks that previously required a three-person team, dramatically increasing individual productivity and changing organizational structures.

Engineers, designers, and product managers now believe AI empowers them to perform the others' jobs. An engineer with AI can handle design and PM tasks, and vice versa. This isn't a threat but an opportunity for individuals to become multi-skilled and create immense value by combining domains.

Instead of searching for new "AI" job titles, non-coders should focus on applying AI capabilities to traditional roles like marketing or sales. Companies are prioritizing existing positions but now require AI fluency, such as building custom GPTs or using AI assistants, as a core competency.

AI tools are dissolving the traditional lines between marketing, engineering, and design. Marketers can now build interactive tools, generate high-quality visuals, and perform technical tasks without developer support, making them more self-sufficient and faster-moving 'hybrid operators.'

AI's productivity gains mean that on a lean, early-stage team, there is little room for purely specialized roles. According to founder Drew Wilson, every team member, including designers, must be able to contribute directly to the codebase. The traditional "design artifact" workflow is too slow.

Instead of replacing jobs, AI will enable marketing teams to restructure around highly autonomous individuals. AI tools can handle interdependent tasks (like basic design for a content creator), eliminating handoffs and allowing each marketer to own their stream end-to-end, moving faster and with more ownership.

Generative AI and low-code tools empower individuals to perform tasks previously owned by specialized roles, like a PM creating a functional prototype. This blurs traditional job descriptions. The critical skill shifts from mere tool proficiency to learning how to collaborate effectively in new, blended team structures.

As AI handles coding, traditional tech roles will merge. At Anthropic, PMs, designers, and engineers all code. The future is a generalist "Builder" who can handle multiple disciplines, making role specialization obsolete.

As AI democratizes the ability to create products, rigid job titles like "Product Manager" and "Engineer" will become obsolete. Meta PM Zevi Arnovitz predicts that responsibilities will merge, and the focus will shift to the act of creation. In the near future, everyone on a product team will simply be a "builder."

Contrary to the idea that AI will eliminate the need to code, it's making coding a crucial skill for non-technical roles. AI assistants lower the barrier, allowing professionals in marketing or recruiting to build simple tools and automate tasks, giving them a significant advantage over non-coding peers.