Slow Takeoff: 2026

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1. Key Themes

The Death of "Skin in the Game" as an Alignment Mechanism

The traditional VC model of aligning incentives through financial exposure has broken down. People now rotate between roles freely, collect fees regardless of outcomes, and lack genuine long-term commitment to any single outcome.

"Everyone trades in and out, gets paid regardless, can leave for a portco or a frontier lab. But who would make a decision that costs them in the moment because they actually give a shit and are planting a long term stake in the ground?"

Venture Firms Must Be Coherent Products, Not Assembled Parts

Fund strategy isn't a menu of separate decisions — fee structure, fund size, LP base, check size, and partnership composition must cohere into a unified, intentional design. Incoherence degrades the model over generations.

"You don't get to bolt together separate decisions about fee structure, fund size, partnership composition, check size, and LP base and call it a firm. They have to cohere or you get the bootleg cassette effect: a third-generation partner playing back a model built for and around people they've never met, audibly degraded each copy."

The Institutionalization of Venture Capital Is Creating a Vacuum

The largest VC platforms have converged toward large institutional asset management behavior, abandoning the risk-taking, contrarian culture that made venture valuable. This creates a structural opening for the next generation.

"The alternatives world ate venture. The platforms behave less like risk-taking partnerships and more like large institutional asset managers, because that's what most of them have become. The pirates became the navy."

AI Spend Is Structurally Incompatible with Public Market Expectations

The experimental, unpredictable nature of AI investment cycles is fundamentally misaligned with how public markets value and price companies. This creates a persistent tension for any public company trying to be an "AI leader."

"You're spending tons of tokens, and increasingly, more than the tons you had planned on spending ('we blew our whole budget in 3 months')... Public markets love predictability... That is basically impossible to deliver right now."

GovTech and AI-Driven Public Sector Efficiency as a Legitimate Theme

Rechtman frames government efficiency through technology not as a political wedge but as a genuine civic and investment priority — particularly relevant in high-talent, high-budget-deficit cities like New York.

"It is absolutely incumbent on democrats, progressives, and technocratic abundists... to demonstrate that government can actually deliver, not just spend more money. We have to start in places like New York which have an immense pool of talent and capital and still face dire budget problems."

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2. Contrarian Perspectives

Government Efficiency Is a Good Idea Regardless of DOGE's Failure

The consensus reaction to DOGE's failures has been to discredit the entire concept of tech-driven government reform. Rechtman argues this is a category error — the problem was execution and bad faith, not the underlying idea.

"My immediate skepticism about DOGE (since vindicated - it was a complete failure) came from my (correct) read that it was a bad faith effort by unserious leadership. But we shouldn't let that poison us against the thought that government can/should/must work better." "Efficiency isn't just less money in, it's outcomes achieved per unit of work."

The "Next Wave" of VC Won't Look Like What Came Before It

Rather than assuming the dominant platform VC firms will persist in their current form, Rechtman and his peer group are actively betting — with real career and capital stakes — that a new model is emerging. The question of what that model looks like is unresolved but treated as the central bet of a generation.

"The interesting question, which we did not resolve, is what comes after. Almost everyone in the room is making a bet, with their career and their LPs' money, on some version of that question."

Emerging Managers Are the Alpha Signal, Not the Consolation Prize

Rather than treating emerging managers as second-tier investors, Rechtman frames them as the highest-conviction, highest-information investors in the market — worth cultivating, co-investing with, and learning from.

"We are betting on this cohort to be the next generation of important investors in this asset class... We get to follow and support them, co-invest with them, and steal their best ideas."

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3. Companies Identified

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4. People Identified

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5. Operating Insights

Build AI-Native Knowledge Infrastructure for Your Own Work

Rechtman solved a personal productivity problem — managing memory and context across writing and investing projects — by building an MCP server on top of his own newsletter archive. The tactic: turn your existing content corpus into a queryable, agent-accessible tool rather than relying on manual copy-paste workflows.

"I made this for myself as a more efficient/portable way to surface relevant context for writing and investing projects after getting annoyed by constantly trying to manage project memory/context. I do tons of copy and pasting links which is annoying."

Create High-Trust Peer Networks Before They're Obvious

The Takeoff conference is a deliberate, long-term community investment in an early-career cohort — before they've accumulated power. The operating tactic is to build genuine relationships, co-investment pipelines, and idea-sharing with next-generation investors while the relationship cost is low and the upside is asymmetric.

"We are betting on this cohort to be the next generation of important investors in this asset class... The least we can do is buy them a drink and put them in front of each other (and LPs) once a year."

Fund Design Is Product Design — Optimize for Coherence, Not Flexibility

For fund managers: every structural decision (fees, fund size, check size, LP type, team composition) must be made as part of an integrated system, not independently. Inconsistency across these variables compounds negatively over the life of a firm.

"They have to cohere or you get the bootleg cassette effect: a third-generation partner playing back a model built for and around people they've never met, audibly degraded each copy."

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6. Overlooked Insights

The "Day Job" Restaurant Model as a Real Estate and Unit Economics Innovation

Buried in the links section, Rechtman flags an emerging trend of neighborhood restaurants monetizing off-peak hours as coworking spaces, popups, or coffee shops. The economic model is unproven, but the structural insight — that underutilized physical space with existing hospitality infrastructure can be repurposed for adjacent use cases — is worth watching as a hybrid real estate/hospitality investment theme.

"I am extremely into neighborhood restaurants getting 'day jobs' as popups/coworking spaces/coffee shops... I'm pretty curious about the economics since part of the appeal is low density/low turnover but hey, if it works!"

MCP as a Distribution and Monetization Layer for Content Creators

Rechtman's decision to publish his newsletter as an MCP server — making it accessible not just to human readers but to AI agents — signals an early-mover recognition that the next distribution frontier for content isn't social or email, but agent-readable APIs. The line "one step closer to Yoni GPT" is throwaway, but the underlying concept (your content corpus as a queryable product) is a meaningful shift in how intellectual property could be packaged and consumed.

"I figured someone, somewhere in the world might want to read my newsletter (or have their agent read my newsletter) within chat."