1e:["$","p","48",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"The corporate signals indicate organizations are moving beyond AI augmentation toward AI substitution faster than public communications suggest."}}] 1f:["$","h2","50",{"style":{"fontFamily":"var(--font-cormorant)","fontSize":32,"fontWeight":400,"marginTop":48,"marginBottom":20},"children":"Cross-Category Dynamics"}] 20:["$","p","52",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"The Intelligence Displacement Spiral is accelerating through three interconnected feedback loops this week:"}}] 21:["$","p","54",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"Capability-Psychology Amplification: As AI coding capability reaches \"brain-breaking\" levels, workforce psychological capitulation reduces resistance to further automation investment. Demoralized workers provide less organizational friction to AI deployment decisions."}}] 22:["$","p","56",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"Adoption-Productivity Compression: 90% enterprise adoption rates create productivity benchmarks that force remaining holdouts to deploy AI or face competitive disadvantage. The 58% delivery time reduction becomes the new baseline rather than an advantage, requiring continuous AI investment to maintain parity."}}] 23:["$","p","58",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"Timeline Convergence: Multiple forecasts (UC Berkeley's 1-year superhuman coding, Amodei's 1-5 year entry-level displacement, Legg's 2028 AGI) are compressing into a 2-4 year window. This convergence is creating urgency in both corporate AI investment and workforce anxiety responses."}}] 24:["$","p","60",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.9,"marginBottom":20,"color":"var(--aa-muted-light)"},"dangerouslySetInnerHTML":{"__html":"The most concerning dynamic: security vulnerabilities from AI-generated code may justify additional AI investment to solve AI-created problems, creating a closed loop that systematically excludes human oversight and quality control."}}] 25:["$","h2","62",{"style":{"fontFamily":"var(--font-cormorant)","fontSize":32,"fontWeight":400,"marginTop":48,"marginBottom":20},"children":"Week Ahead"}] 26:["$","p","64",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"fontWeight":600,"lineHeight":1.8,"marginBottom":16,"color":"var(--aa-fg)"},"children":"Key Releases & Events to Monitor:"}] 27:["$","ul","list-25",{"style":{"marginBottom":24,"paddingLeft":24},"children":[["$","li","0",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.8,"color":"var(--aa-muted-light)","marginBottom":8},"dangerouslySetInnerHTML":{"__html":"METR AI Safety Benchmark Update (Expected Feb 24): Time horizon trends for dangerous capability development may provide updated timelines for autonomous AI systems."}}],["$","li","1",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.8,"color":"var(--aa-muted-light)","marginBottom":8},"dangerouslySetInnerHTML":{"__html":"Enterprise Q4 Earnings Calls (Feb 24-28): Look for mentions of \"productivity gains,\" headcount optimization,\" and AI CapEx increases as leading indicators of OpEx Substitution acceleration."}}],["$","li","2",{"style":{"fontFamily":"var(--font-dm-sans)","fontSize":17,"lineHeight":1.8,"color":"var(--aa-muted-light)","marginBottom":8},"dangerouslySetInnerHTML":{"__html":"GitHub Copilot Usage Statistics