Notes.

Debates the future returns of premium payments for the highest-performing AI models through historical analogies (dynamo/AlexNet/Bloomberg/SGI/Concorde), productivity RCTs, and disruption from the good-enough argument. Deliberately non-convergent, with a table of unresolved disagreements as the primary deliverable

Organizes the latest developments in "AI and design" centered on 2026-06-25 to 07-02 into three tiers: T1v vendor primary sources, T2 public institutions and surveys, and T3 trusted individual commentary. Covers the integration race immediately following Figma Config 2026, Canva Grow 2.0, Webflow's ChatGPT integration, EU/US regulation of AI-generated content, surveys on AI adoption in design practice, and the axis of expert disagreement over floor and ceiling.

Organizes orchestration patterns in agentic coding as of mid-2026. Contrasts, with sources, five types of inter-agent communication (hierarchical / handoff / shared state / message passing / context isolation), seven orchestration architectures, the design philosophies of eight major frameworks (Claude Code / OpenAI Agents SDK / LangGraph / CrewAI / MS Agent Framework / Google ADK / Strands / Mastra), and converging best practices and anti-patterns.

Organizes from primary sources the four-stage genealogy of engineering practices leveraging generative AI — from prompt engineering (2022) through context engineering (Lutke 2025-06) and harness engineering (Anthropic 2025-11 / OpenAI 2026-02) to loop engineering (Osmani 2026-06-07) — and assesses it along three axes where design should engage (context architecture, evaluation as design, and tensions at professional boundaries). Eval engineering is included as a cross-cutting practice. As the bottleneck shifts from 'writing' to 'judging' and 'looping,' the design profession is moving its center of gravity toward quality judgment, structuring of information environments, and definition of evaluation criteria.

A map note that cross-analyzes AI's impact on the design labor market through six theories: the task-based model (Acemoglu & Restrepo), job polarization (Autor), the economics of information goods (Shapiro & Varian), the economics of the creative economy (Caves / Throsby), platform economics (Rochet & Tirole), and Baumol's cost disease. It identifies the structural changes in design that each theory illuminates and contrasts them with empirical data (BLS statistics, DID analyses of the freelance market).

A simultaneous roundtable on 'design ≠ craft' with three industry personas (firm/consulting/independent office) and three academic critics (theory/education/industry-career). Renders visible the industry side's triple deadlock of unbillable taste, human-hour model collapse, and practitioner reproduction breakdown alongside the academic side's arguments on the indispensability of embodied repetition and the historical contingency vs. conceptual necessity distinction, all as a divergence table. Records all rounds R1-R3.

An industry research note organizing generative art's copyright landscape, market data, tools, and practitioner testimony across three source tiers

Organizes the structural reasons why designer compensation stagnates relative to engineers, PMs, and data scientists, drawing on 34 peer-reviewed papers. Six structural factors: (A) incomplete professionalization (Abbott's jurisdiction theory / Larson's market closure); (B) the wage penalty on cultural creativity (Hwang 2014: technical CCI > cultural CCI); (C) lower earnings toward Throsby's 'inner circle' (Been et al. 2023: full Dutch administrative data); (D) normalized precarity (second-job rate 2x / 'wageless life' / flexploitation); (E) the commodification of design thinking eroding jurisdiction (Johansson-Sköldberg 2013); (F) AI deskilling diminishing bargaining power (Shukla CHI 2025 / Jiang CHI 2026: 54% report reduced influence).

Examines the structural reasons why designer compensation stagnates relative to engineers, PMs, and data scientists, drawing on BLS public statistics (T1: 18 items), industry surveys (T2: 18 items), and practitioner testimony (T3: 19 items) totaling 55 sources. Graphic designer median $61,300 is 46% of SWE's $133,080. Ten-year growth: GD +2%, SWE +15%, DS +34%. Structural factors: oversupply (bootcamp graduates 6,500-6,900/year), disproportionate layoffs (1.7x expected), measurement difficulty, C-suite absence, platform race to the bottom. McKinsey Design Index shows correlation with enterprise value but makes zero mention of designer compensation.

An analysis of designer career paths likely to generate value in the AI era, drawing on 47 sources across job market and compensation data (BLS/Glassdoor/LinkedIn), consulting surveys (McKinsey/BCG/WEF), vendor trends (Figma/Vercel), and design leader perspectives (Maeda/Zhuo/Nielsen/Spool). Growth areas: AI Experience Designer, Design Engineer, Content Designer. Contracting areas: Graphic Designer, UX Researcher (down 89% from peak hiring).