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101% Sell-Through Rate Shows How AI Can Fix Your Inventory

The real work in AI is happening in specific business functions. Operators are applying it like any other tool to cut costs, increase efficiency.

· 7 min read

101% Sell-Through Rate Shows How AI Can Fix Your Inventory

AI Rewrites the Core Infrastructure

Beyond being a productivity enhancer, AI is acting as a structural force. It’s reshaping core business components and even altering the market itself. We heard arguments this week that AI is mandating a redefinition of the corporate website and threatening to make the CRM obsolete.

S&P Trades at 21x Earnings, but EM Growth Is Just as Strong

At a macro level, AI is compelling governments to underwrite capital expenditure, fundamentally altering the market. Velocity Meter highlights that the US is quietly rewriting the rules of capitalism. It's acting as an implicit guarantor for massive capital expenditures, particularly in AI infrastructure. Cem Karsan explains why America is rewriting the rules of capitalism on Top Traders Unplugged.

AI Agents Eliminate CRMs. The CTOs Just Noticed.

Growth Glider reports that AI agents are beginning to render CRMs obsolete. This shift from AI as a mere enhancer to a core operational component means companies need to rethink how they build and sell software. Listen to the full implications of this change with Brian McCarthy on Revenue Builders.

Your Website Now Feeds AI "Lego Blocks," Not Human Funnels

According to Cult of Brands, the website is no longer just a top-of-funnel conversion tool. It is becoming a backend infrastructure for AI. This is a fundamental redefinition for marketing and operations teams. See why.


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A Note from Chris

I’ve listened to a lot of high-minded talk about AI's potential, but what really caught my ear this week was the sound of the bill getting smaller. When I heard on Velocity Meter that Coinbase cut its AI infrastructure costs in half by switching to open-source models, it felt like a turning point.

The hype is giving way to hardcore execution. Operators are looking for tangible wins, not just big headlines, and they are finding them. That’s the story you’ll hear in the rooms below.

— Chris


The Through-Line

The AI Pragmatists Take Over

This week, the abstract debates around artificial intelligence gave way to a far more grounded conversation. The dominant thread across the Podstreet network was a turn toward pragmatism, as operators pushed past the hype to focus on tangible, measurable returns.

Talk of frontier models and AGI is getting cheap. The real work is happening in specific, often unglamorous, business functions where AI is being applied like any other tool: to cut costs, increase efficiency, and solve concrete problems.

In the finance and operations world, this shift is palpable. As highlighted in the Finance & Operations Brief from CX-O, the conversation is no longer about acquiring the buzziest AI platform but about building custom tools for task automation. On the GrowCFO Show, Sinohe Terrero, CFO and COO of Envoy, dug into why so many AI projects fail to deliver ROI, underscoring this urgent need for financial discipline in tech implementation. The consensus is that data, not the underlying model, creates the most durable competitive moat.

This pragmatic approach was echoed by an analysis from Velocity Meter, which noted how Coinbase managed to cut its AI bill in half by using open-source models. While policymakers focus on large-scale AI regulation, a point dissected on The Neuron: AI Explained, companies on the ground are making practical choices to improve their bottom line now.

While policymakers debate frontier models, a quiet revolution is happening in enterprise AI. Companies are choosing pragmatism over politics.— from the Transformation Brief: AI & Technology, Velocity Meter

Perhaps the most potent example came from the world of commerce. The story of Fusion Sportswear achieving an incredible 101% sell-through rate using AI-driven demand forecasting is not a futuristic vision; it is a case study in operational excellence. As explored in the full breakdown from Cult of Brands, applying AI to a notoriously difficult problem like inventory management delivered immediate, undeniable value. On the DTC Podcast, the discussion zeroed in on turning creative into a targeting layer, a tactical application that drives brand salience far from the lofty promises of generalized intelligence.

The lesson for every leader is clear: stop waiting for the perfect, all-knowing AI and start applying the tools available today to your most expensive, inefficient processes. The real value is being created far from the headlines.

This quiet revolution is just beginning. As more companies build their own custom tools and data moats, expect a growing divide between the pragmatists who are capturing value and the theorists still debating the future. The next wave of winners will be defined not by the models they use, but by the problems they solve.


Heard in Three Rooms

The most telling conversations are rarely the loudest. This week, a quiet consensus emerged around a single, disruptive idea: AI is no longer just an application layer but a structural force, rebuilding core business assets from the ground up. The theme surfaced independently across Podstreet, showing up in the finance-focused Market Signals digest, the marketing-oriented Demand & Growth Brief, and the sales-centric B2B Sales Brief.

In finance, analysis following Top Traders Unplugged noted that government action is rewriting market fundamentals to support AI infrastructure. As Velocity Meter framed it, “The US is quietly rewriting the rules of capitalism by acting as an implicit guarantor for massive capital expenditures.” Simultaneously, marketers grappling with ideas from Marketing Against The Grain confronted the redefinition of the corporate website into simple backend plumbing for AI. And in the sales world, Brian McCarthy argued on Revenue Builders that intelligent agents are on a trajectory to make the entire CRM obsolete.

When finance, marketing, and sales teams all arrive at the same conclusion—that a foundational component of their world is being irrevocably altered—you know the paradigm shift is already underway.


The Tracker

Our weekly log of the signals with staying power. Here’s what just appeared on our multi-week radar.


AI Rewrites the Core Infrastructure

1 week on the radar | Quietly building

This signals a shift from auditing productivity tools to re-evaluating foundational assets like your website and CRM, which are being completely redefined by AI.

The conversation crystalized as Brian McCarthy explained how AI agents are poised to eliminate the CRM on Revenue Builders.


Operations and People Drive Returns

1 week on the radar | Quietly building

In a world of higher rates, the sharpest minds in private equity are turning from financial engineering to human capital as the key driver of returns.

KKR’s Pete Stavros detailed this operational value creation, focusing on employee ownership, on Dry Powder: The Private Equity Podcast.


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Press Play

Three conversations stood out this week, moving from high-level strategy to on-the-ground execution. Here’s what’s worth your time.

Revenue Builders

What AI Agents Mean for How You Build and Sell Software with Brian McCarthy

This is for leaders questioning their legacy tech stack, as Brian McCarthy makes the case that AI agents are a fundamental threat to the traditional CRM and will reshape how software is built and sold.

Dry Powder: The Private Equity Podcast

Employee Ownership at Scale w/ KKR's Pete Stavros

Essential listening for investors and operators looking beyond financial engineering, as Pete Stavros of KKR explains how broad-based employee ownership has become a primary driver of returns in a high-rate world.

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

Intelligence on the Edge: Liquid AI's Ramin Hasani on the Search for Device-Native Foundation Models

A must-listen for CTOs and engineers tired of the frontier model hype, offering a pragmatic look at building powerful, cost-effective AI on device-native models instead.


For You

If you're a Founder → The pursuit of a high valuation can obscure what actually matters. Elias Torres, co-founder of Drift, called his $1.2 billion exit a personal failure because he lost sight of customer obsession, a cautionary tale heard on The GTMnow Podcast about grounding your company in durable values.

If you're an Operator → AI's value is moving from hype to concrete supply chain wins. See how Fusion Sportswear used AI-driven forecasting to achieve a stunning 101% sell-through rate, proving the tech can directly impact inventory and demand planning.

If you're an Investor → In a market where financial engineering is fading, operational excellence is the new alpha. KKR’s Pete Stavros explained on Dry Powder how his firm's focus on broad employee ownership is now a key driver of private equity returns, creating over $14 billion in wealth for workers.

If you're a Builder → The corporate website is no longer just a front-end conversion tool for humans. As argued in Cult of Brands, it’s time to start architecting your site as backend infrastructure designed to feed composable data to AI agents and models.


The Rewind

The skimmer's index — for the reader who only reads the bottom. A clean list of the episodes referenced this week.


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