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▶ 40:16 · Enterprise AI Adoption · Services are the new software: defensibility shifts to forward-deployed agent training on tacit knowledge

episode shorts · 6

"The Model is the Product"

Why we should increase capital gains tax

The $10B Startup Running on AI Agents

Why AI Won't Take Your Job

AI Is Creating Jobs Faster Than Ever

"We spend more on tokens than salaries"

now playing · Enterprise AI Adoption

Cybersecuritytailwindscore 8/10brandon suede

Golden age of cybersecurity driven by AI-powered attacker swarms creating massive defense demand

Attackers now use swarms of coding agents to exhaustively probe codebases at machine speed, making traditional defenses obsolete; this drives enormous boom in AI security engineering tools…

AI Economics & Business Modelstailwindscore 9/10brandon suede

Infrastructure layer upstream of frontier models to dramatically outperform application layer in next 12 months

Application layer companies lack moats because frontier models (Claude, GPT) will natively absorb vertical capabilities (legal, medical, finance); infrastructure companies (data, compute, e…

Enterprise AI Adoptiontailwindscore 8/10brandon suede

Services are the new software: defensibility shifts to forward-deployed agent training on tacit knowledge

Pre-sales GTM moats erode as models replicate SaaS products; durable defensibility comes from post-sales forward-deployed motion where agents are trained on organization-specific tacit know…

AI Economics & Business Modelstailwindscore 9/10brandon suede

Enterprise token spend on agents will exceed headcount costs within 5 years despite falling unit costs

Model performance improvements drive 10x YoY capability gains, causing total token consumption to explode (Jevons paradox); Mercor already spends more on agent tokens than salaries; average…

Frontier AI Modelsheadwindscore 8/10brandon suede

API layer commoditizes as zero switching costs and frequent frontier releases enable hot-swapping via enterprise evals

Enterprises will build eval systems of record for each workflow, benchmarking every new model to hot-swap and distill; majority of inference in 5 years shifts to open-source/distilled model…

Frontier AI Modelstailwindscore 8/10brandon suede

Enterprise-specific evals become critical infrastructure to enable model commoditization and 10x price-performance

Academic benchmarks (GPQA, IMO) are disconnected from enterprise outcomes; companies must build evals for real workflows (multi-week financial modeling, end-to-end SaaS cloning) to distill…

Semiconductorsmixedscore 7/10brandon suede

Nvidia monopoly eroding as Cerebras and in-house lab chips (Google, Meta, Amazon) gain share in largest market ever

Every major lab builds custom silicon (TPU, MTIA, Trainium, etc.); Cerebras executing well; in 5 years Nvidia holds 30-40% share but in a market orders of magnitude larger, still making it…

AI Geopolitics & Export Controlsheadwindscore 6/10brandon suede

Europe unlikely to compete on foundation models; talent network effects concentrate in US labs creating geopolitical advantage

Best European researchers (French, etc.) aggregate at OpenAI, Anthropic, DeepMind due to talent network effects, compounding capital/compute/impact in US; Europe should accept model-layer l…

AI Talent & Labor Marketmixedscore 7/10brandon suede

Top AI researcher compensation hits $10-20M/year; supply-demand imbalance to persist for 99th percentile

Extreme demand from frontier labs (Meta's superintelligence group offering $20M/yr) creates 10:1 demand-supply ratio; compensation will escalate for elite researchers but broaden as more pe…

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▶ 40:16 · Enterprise AI Adoption · Services are the new software: defensibility shifts to forward-deployed agent training on tacit knowledge

episode shorts · 6

"The Model is the Product"

Why we should increase capital gains tax

The $10B Startup Running on AI Agents

Why AI Won't Take Your Job

AI Is Creating Jobs Faster Than Ever

"We spend more on tokens than salaries"

now playing · Enterprise AI Adoption

Cybersecuritytailwindscore 8/10brandon suede

Golden age of cybersecurity driven by AI-powered attacker swarms creating massive defense demand

Attackers now use swarms of coding agents to exhaustively probe codebases at machine speed, making traditional defenses obsolete; this drives enormous boom in AI security engineering tools…

AI Economics & Business Modelstailwindscore 9/10brandon suede

Infrastructure layer upstream of frontier models to dramatically outperform application layer in next 12 months

Application layer companies lack moats because frontier models (Claude, GPT) will natively absorb vertical capabilities (legal, medical, finance); infrastructure companies (data, compute, e…

Enterprise AI Adoptiontailwindscore 8/10brandon suede

Services are the new software: defensibility shifts to forward-deployed agent training on tacit knowledge

Pre-sales GTM moats erode as models replicate SaaS products; durable defensibility comes from post-sales forward-deployed motion where agents are trained on organization-specific tacit know…

AI Economics & Business Modelstailwindscore 9/10brandon suede

Enterprise token spend on agents will exceed headcount costs within 5 years despite falling unit costs

Model performance improvements drive 10x YoY capability gains, causing total token consumption to explode (Jevons paradox); Mercor already spends more on agent tokens than salaries; average…

Frontier AI Modelsheadwindscore 8/10brandon suede

API layer commoditizes as zero switching costs and frequent frontier releases enable hot-swapping via enterprise evals

Enterprises will build eval systems of record for each workflow, benchmarking every new model to hot-swap and distill; majority of inference in 5 years shifts to open-source/distilled model…

Frontier AI Modelstailwindscore 8/10brandon suede

Enterprise-specific evals become critical infrastructure to enable model commoditization and 10x price-performance

Academic benchmarks (GPQA, IMO) are disconnected from enterprise outcomes; companies must build evals for real workflows (multi-week financial modeling, end-to-end SaaS cloning) to distill…

Semiconductorsmixedscore 7/10brandon suede

Nvidia monopoly eroding as Cerebras and in-house lab chips (Google, Meta, Amazon) gain share in largest market ever

Every major lab builds custom silicon (TPU, MTIA, Trainium, etc.); Cerebras executing well; in 5 years Nvidia holds 30-40% share but in a market orders of magnitude larger, still making it…

AI Geopolitics & Export Controlsheadwindscore 6/10brandon suede

Europe unlikely to compete on foundation models; talent network effects concentrate in US labs creating geopolitical advantage

Best European researchers (French, etc.) aggregate at OpenAI, Anthropic, DeepMind due to talent network effects, compounding capital/compute/impact in US; Europe should accept model-layer l…

AI Talent & Labor Marketmixedscore 7/10brandon suede

Top AI researcher compensation hits $10-20M/year; supply-demand imbalance to persist for 99th percentile

Extreme demand from frontier labs (Meta's superintelligence group offering $20M/yr) creates 10:1 demand-supply ratio; compensation will escalate for elite researchers but broaden as more pe…