Borovik's realization came from observing artists' split reaction to Stable Diffusion—fear versus embracing it as a new tool. He saw a direct parallel for software engineering, deciding AI was a tool to enhance his craft, not replace it, which spurred his move into building coding agents at Google.

The central hub for machinima discovered it could get more views with unscripted, low-effort gameplay videos than with complex films. This pivot to what became the "Let's Play" genre led to the platform's commercial success but ultimately starved the original machinima artist community of a centralized platform, contributing to its decade-long decline.

In 10 years, AI will generate vast amounts of high-quality code, similar to the leap in image generation. The developer's role will shift from writing code to curation and design, exercising intent and critical judgment to select the best output from a sea of AI-generated options.

As AI models become proficient at generating high-quality UI from prompts, the value of manual design execution will diminish. A professional designer's key differentiator will become their ability to build the underlying, unique component libraries and design systems that AI will use to create those UIs.

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.

As AI tools empower individuals to handle tasks across the entire product development lifecycle, traditional, siloed roles are merging. This fundamental shift challenges how tech professionals define their value and contribution, causing significant professional anxiety.

Experience alone no longer determines engineering productivity. An engineer's value is now a function of their experience plus their fluency with AI tools. Experienced coders who haven't adapted are now less valuable than AI-native recent graduates, who are in high demand.

After several unsuccessful projects, Sega developer Tez Okano was given a shoestring budget. This constraint forced him to create a deeply personal game, *Sega Gaga*, based on his own workplace experiences. The lack of resources paradoxically fostered a unique and innovative concept that a large budget might have stifled.

With AI empowering anyone to be a '7/10 designer,' professionals must add value at the extremes. They should move 'down the stack' to perfect design systems that elevate everyone's baseline, and 'up the stack' to craft exceptional, rule-breaking experiences for critical user journeys that AI cannot replicate.