Building Agentic AI solutions in enterprise environments✦Training for IronMan 2027✦Building Aether Ops · AI-era governance for small, mid & large enterprise✦Ultra Marathon 2028 · because ERP wasn't hard enough✦Leading system integration post-$13B IPG acquisition at Omnicom✦Finance nerd by day. AI builder by night. Endurance athlete on weekends.✦8+ years · $17B+ in transactions · 150+ global business units✦Currently shipping: Aether Ops · Onyx · and things I can't talk about yet✦Stevens Institute · MS Business Intelligence & Data Analytics✦Ask my agent anything 👇✦Building Agentic AI solutions in enterprise environments✦Training for IronMan 2027✦Building Aether Ops · AI-era governance for small, mid & large enterprise✦Ultra Marathon 2028 · because ERP wasn't hard enough✦Leading system integration post-$13B IPG acquisition at Omnicom✦Finance nerd by day. AI builder by night. Endurance athlete on weekends.✦8+ years · $17B+ in transactions · 150+ global business units✦Currently shipping: Aether Ops · Onyx · and things I can't talk about yet✦Stevens Institute · MS Business Intelligence & Data Analytics✦Ask my agent anything 👇✦
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Govind Waghmare

Agentic AI for ERP. Cutting through red tape. Building in public from NYC.

govindwaghmare@icloud.comcal.com/govindw

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Observations: VC Priorities and Politics in 2025

Dec 16, 2024

A few observations on VC priorities and the political dimension of tech in 2025, inspired by discussions and research at the time. (Treat as opinion and dated context, not investment or policy advice.)

Capital concentration. Big funds and continuation vehicles got larger. Seed and early-stage remained active, but the bar for "breakout" and "platform" narratives rose. Many rounds were extension or insider-led. New names still got funded, but with more emphasis on traction and path to profitability.

AI as the default theme. Almost every pitch was "AI-native" or "AI-powered." Differentiation shifted to distribution, data, and use-case clarity, not "we use AI." Investors looked for durable moats: vertical depth, proprietary data, or real network effects.

Geopolitics and regulation. Chips, data residency, and content rules varied by region. Some LPs and founders cared more about jurisdiction and regulatory risk. "Build for the world" was still the dream; "build for a compliant segment" was often the plan.

Politics and brand. In some markets, VC and founder political stance became a factor for LPs, talent, and customers. Not universal, but visible in hiring, fundraising, and consumer brand discussions.

Later-stage discipline. Growth at all costs gave way to "path to profitability" and unit economics. Unprofitable scale was less celebrated; efficiency and retention mattered more.

Takeaway for builders. Fit your story to the current priority set: clear problem, evidence of demand, and a plausible path to defensibility and margins. Research who's active in your space and what they've said recently. And treat any single "year in review" (including this note) as a snapshot, priorities shift fast.

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