Depreciated Upon Publication — Is Content Still an Asset in the AI Era?

1. The Boardroom

A corporate strategy meeting room. On the screen: a marketing and content production budget slashed dramatically from the previous year. The CFO spoke up.

"Video production costs have collapsed. What used to be expensive outsourced projects just a year or two ago have become complete commodities, with tools like Runway, Pika, and Kling competing fiercely. No outsourcing, no specialized hires needed."

The Chief Data Officer chimed in. "The AI meeting assistants we recently adopted — tools like Otter.ai or Fireflies.ai — join public Zoom meetings and open seminars, record them, transcribe them, and convert them into knowledge assets. The carelessly open web has become a world where whoever scrapes first, owns."

The room was electric. Executives were intoxicated by cost reduction and the possibilities of data capture. But the face of a third-year content marketer sitting nearby had gone pale. She'd been deep in SEO since college, had stayed up countless nights building a YouTube channel — a true believer in the creator ecosystem. The skills and assets she'd spent years honing were evaporating on that screen, being substituted by API calls costing a few dollars each.

What struck me wasn't sentiment but a structural question. In this paradigm shift where tools democratize creation and distribution rules move from 'search' to 'direct AI chatbot connection' — what exactly can we call an 'asset'?

This scene is a composite of multiple real experiences.

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2. The Fourth Fictitious Commodity

To understand this structural collapse, we need Karl Polanyi's concept of 'Fictitious Commodities' from his 1944 work The Great Transformation. Polanyi criticized how things never produced for sale — land, labor, money — were forcibly 'commodified' by the market economy.

In 2026, a fourth fictitious commodity is being born: humanity's unique context and digital footprint. Someone's insights, meeting conversations, personal essays — none were produced to be extracted via API and fed into machine weight updates. Yet the AI economy is forcibly tearing them out and putting them on the market.

Let's decompose what we loosely call 'content' into three structural layers through Polanyi's lens:

1. Raw Signal: Facts, information fragments, video pixels. Raw data anyone can access. The Zoom transcripts extracted by AI meeting assistants belong here.
2. Routing Wrapper: The packaging that formats raw signals for search engine consumption. Clickbait thumbnails, SEO-optimized tags, watch-time manipulation techniques.
3. Proprietary Context: Trust-based relationships between creators and audiences, closed communities protected by paywalls, or unique relationship networks protected through licensing agreements with AI models.

The past decade of the creator economy obsessively inflated layer 2 (Routing Wrapper). But as AI weakens the search engine intermediary, layer 2's value is plummeting. Layer 1 (Raw Signal) suffers a tragedy of the commons — relentlessly extracted by platform crawling bots. What survives is layer 3 — only 'Proprietary Context' that machines cannot freely steal.

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3. The Algorithmic Enclosure Movement

This shift in the axis of value is not unprecedented in human history.

The Enclosure Movement in 18th–19th century England. Peasants freely grazed sheep and gathered firewood on the Commons. When the wool industry became profitable, landlords and capitalists used law to fence off and privatize common land. Displaced peasants became urban wage laborers.

What's happening on the web right now is precisely this. The open internet where anyone could write and share traffic was a digital commons. Companies like OpenAI, Google, and Anthropic collected this commons' data at scale, enclosing it within the private fences of their LLMs. Creators who published on the open web are losing their traffic estates.

The telegraph and the Associated Press (founded 1846). Before the telegraph, news power belonged to local reporters who monopolized regional information. When telegraph networks spread and massive distribution networks like AP emerged, individual reporters' information-gathering abilities lost their competitive edge. Information flowed in real-time through wires, becoming commoditized. Only those who controlled the distribution network and those who could plug data directly into it survived.

Newsletter platform Beehiiv adopting Anthropic's MCP (Model Context Protocol) to connect newsletters directly to AI chatbots is exactly this pattern. The era of waiting for readers through Google Search is ending. Only those who plug their data pipelines directly into AI's core will survive.

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4. Three Structural Breaks

Where past technology 'replaced' human physical labor with machines, today's AI 'captures' human cognitive output and extinguishes its original value.

Zero marginal cost of extraction. Past copying had labor costs — someone had to read and retype. Today's content extraction is automated code processing tens of thousands of items per second in parallel. The marginal cost of extraction approaches zero, but the legal and technical costs of defense do not. An asset you cannot defend is not an asset.

The death of the traffic funnel. In the search engine era, there was an implicit bargain: "I put useful information on the web, Google sends visitors to my site." AI chatbots (ChatGPT, Claude, etc.) don't send users elsewhere. They complete answers inside the chat window. Creator sites get their text consumed but receive no traffic in return. The terminal point of distribution has moved from websites to AI chat windows.

The 'direct connection' ultimatum. Beehiiv's MCP adoption presents creators with a stark choice: "Lock your data behind a walled garden, or connect directly to AI models via API." Public web content broadcast to the masses simply gets absorbed as machine training data. Board the standardized pipeline that AI can read and redefine yourself as a 'data supplier,' or be erased from the internet's map. The middle ground is disappearing.

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5. The Book Value of Content

Let's translate this discussion into the language of corporate accounting. The creator ecosystem's collapse is not a sentimental tragedy — it's a cold-blooded balance sheet revaluation.

In the past, creators believed their blog posts, YouTube videos, and podcasts were intangible assets. Listed on the great financial market called the search engine, generating monthly dividends of traffic and ad revenue. SEO specialists were the fund managers inflating these assets' valuations.

In 2026, content published on the open web is no longer that kind of asset. It's unsecured receivables that cannot be recovered once issued — fully depreciated the moment it hits the ledger.

The reason is simple. An asset's core is exclusive control and sustained cash flow. The moment you publish to the open web, AI companies' crawlers collect that data. Unique insights and information get absorbed into billions of parameters, incorporated as the machine's learning capital. The original remains on a server corner, stripped of value.

Therefore, the AI-era creator must not be 'a factory making products' but a tollgate collecting passage fees. The only asset recognized on the balance sheet is not content itself but the exclusive access rights required to reach that content.

Closed newsletters with secured email addresses. Gated communities accessible only to paid subscribers. MCP supply contracts that connect your database to AI's core under controlled conditions, like Beehiiv's approach. These alone are the book value that can survive instant depreciation.

Content is no longer a permanent asset. It's approaching consumables — used once and discarded. The true asset is the pipeline of connection with your audience itself.

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6. Inside the Loop of Extraction

The boardroom lights went off. Management demanded final sign-off on the AI automation budget. I signed. Someone who knows the system's contradictions yet understands that fighting the current of capital is futile.

Inside this closed Loop of Extraction — where my insights are donated as machine training data the moment they're published, and that machine then replaces me — can humans maintain the motivation to cast new ideas into the public sphere?

There are no grand answers. But Polanyi showed us one thing. When land and labor were converted into fictitious commodities, those who survived weren't those who resisted commodification — they were those who built new protective structures first. Labor unions, social insurance, public regulation — mechanisms that protected from outside the market what the market would destroy if left to its own devices.

For content creators, this protective structure is clear: the fence of exclusive access rights. The era of laying out goods on an open market stall (Search) is over. Only those who build strong vaults and hold the keys can cross this Loop of Extraction with their context intact as an asset.

Shred the SEO playbook. The rules have changed.

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