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.

The future of product management is a hybrid with UX design. PMs will be expected to be 'builders' who go beyond specs to create initial designs and functional prototypes, using AI tools to accelerate this process and enabling smaller, more agile teams.

The historical separation between product management, design, and engineering is dissolving. AI assistants handle the coding, allowing a single person to define the product (PM), ensure high-quality aesthetics and UX (designer), and direct the technical implementation (engineer), thus converging the three roles.

AI empowers coders, designers, and product managers to perform each other's core tasks. This creates a "Mexican standoff" where individuals in each role believe they no longer need the other two, fundamentally changing team structures.

Dylan Field predicts that AI tools will blur the lines between design, engineering, and product management. Instead of siloed functions, teams will consist of 'product builders' who can contribute across domains but maintain a deep craft in one area. Design becomes even more critical in this new world.

The PM role has evolved beyond feature roadmaps to a 'systems thinking' approach, akin to a General Manager. PMs now design entire customer experiences and business systems. This shift is accelerated by AI, which lowers the barriers for PMs to acquire skills outside their core background, whether technical or business-focused.

AI tools are collapsing the traditional moats around design, engineering, and product. As PMs and engineers gain design capabilities, designers must reciprocate by learning to code and, more importantly, taking on strategic business responsibilities to maintain their value and influence.

AI's rise means traditional product roles are merging. Instead of identifying as a PM or designer, focus on your core skills (e.g., visual aesthetics, systems thinking) and use AI to fill gaps. This 'builder' mindset, focused on creating end-to-end, is key for future relevance.

The traditional tasks of a product manager—writing specs, building plans, prototyping—are being automated by AI. The role will likely evolve into a hybrid "Experience Engineer" who combines product, design, and engineering skills to build experiences, or a highly commercial "GM" role with direct P&L responsibility.