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Hi everyone,
I’m a business owner and a long-time "lurker" on social media. While I rarely post, I spend a significant amount of time observing trends—largely because I invest heavily in digital advertising to grow my business. Lately, I’ve noticed a surge in Adobe-related discussions here, many of which, in my opinion, reflect a fundamental misunderstanding of the creative industry.
Although I am not a daily user of the Adobe Creative Cloud myself, I am the one who pays the professionals who use it. I understand exactly what role Adobe plays in the creative workflow. Recently, I added a **5% position in Adobe (ADBE)** to my portfolio. As part of my investment process, I always document my thesis to track its validity over time.
I’ve decided to share my thoughts here, starting with the first chapter of my research. My perspective is rooted in hands-on experience: I supervise the creation and editing of every ad my company runs. While my focus is on marketing, I believe the logic behind Adobe’s "Creative OS" applies to every segment of the industry.
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The prevailing bear case against Adobe assumes a zero-sum game: if AI makes one editor 10x as productive, a company will cut 90% of its Adobe subscriptions. This logic is fundamentally flawed because it ignores the **Unit Economic Pivot.** Adobe is transitioning from a **"Seat-Based"** model (charging for access) to a **"Consumption-Based"** model (taxing output). In the AI era, Adobe’s revenue is no longer capped by the number of creative professionals, but by the **infinite number of iterations** those professionals perform.
# I. The Legacy Baseline: A Sub-1% Capture Rate
Consider a standard mid-sized creative agency in a pre-AI environment. A typical monthly production cycle for a commercial campaign involves a heavy reliance on physical logistics and human labor.
* Human Labor (The "Post-Production"): 10 Editors/Artists at a loaded rate of $30/hour.
* Monthly Labor Cost: $48,000 (10 FTEs × 160 hrs).
* Adobe SaaS Overhead: 10 seats × $100/month = $1,000/month.
* Physical Production (The "Assets"): This includes actors, location rentals, camera gear, and catering. Industry benchmarks from Deloitte Digital and Gartner confirm that these "below-the-line" (BTL) production costs typically account for 50–60% of a total project budget. For this example, we assume a $60,000 asset production budget.
Total Campaign Cost: \~$109,000. In this legacy framework, Adobe’s value capture is a marginal 0.92% ($1,000 / $109,000). Adobe is merely a utility provider at the end of a high-cost physical supply chain.
# II. The Marketplace Mechanics: The "Platform Tax" Explained
To understand the revenue jumps in the following scenarios, you must stop viewing Adobe as just a software vendor and start viewing it as a **Transactional Marketplace**, similar to the **Apple App Store** or **AWS Marketplace**.
1. **The "Slotting Fee" (App Store Model):** Just as Apple takes a **15–30% commission** on digital goods sold in its store, Adobe acts as the "Storefront" for third-party AI models (OpenAI, Google Gemini, Runway). When an agency spends its "Asset" budget on these models *inside* Adobe, Adobe takes a **10–20% Platform Tax**.
2. **Procurement Centralization (AWS Model):** Large agencies prefer the **AWS Marketplace** model—one unified bill for 100 different tools. Adobe provides a single, audited **"Generative Credit"** system. Model providers give Adobe a cut in exchange for instant access to Adobe’s **41M+ professional subscribers**, who can "buy" AI compute with one click using their pre-approved company budget.
3. **High-Margin Arbitrage:** Unlike the physical world (where money is lost to travel or catering), this marketplace revenue is nearly **100% gross margin** for Adobe. They don't pay for the actors or the GPU electricity of third-party models; they simply tax the transaction.
# III. Scenario A: The "Productivity Apocalypse" Hedge
The "apocalyptic" scenario feared by the market—a 90% reduction in creative staff—is not a sign of industry collapse, but of a massive productivity explosion. If AI allows one editor to do the work of ten, the demand for content does not disappear; rather, the cost of labor is traded for the cost of AI compute.
In this bleak simulation, assume the firm achieves extreme efficiency via AI. They cut 90% of their staff (leaving 1 editor) and reduce their total asset production budget by 50% (to $30,000). Crucially, even though physical filming has vanished, the brand still requires content. The $30,000 is not "saved"—it is reallocated to AI Generation to create the assets.
* SaaS Revenue: $100 (1 remaining seat).
* Marketplace Commission: At a very conservative 5% transaction fee on the $30,000 AI generation spend, Adobe captures $1,500.
* Total Revenue to Adobe: $1,600.
Even in this high-contraction environment, Adobe's revenue per account grows by 60% ($1,600 vs. $1,000). Adobe has successfully used AI credits to hedge against a 90% loss in seat count by capturing a portion of the "saved" $30,000 budget that previously went to external vendors.
# IV. Scenario B: The Marketplace Realist (The 6x Expansion)
In a more realistic 2026 application, AI does not replace filming entirely. Instead, "hybrid production" becomes the standard: a skeleton crew records the "bones" of a shoot (voice, object shapes, actor silhouettes), and AI is used to "skin" the assets into a high-end commercial. This allows for unprecedented A/B testing and flexibility.
Assuming the brand keeps its $60,000 asset budget but shifts 80% ($48,000) to AI generation, and Adobe implements a 10% marketplace commission (benchmarked against low-tier AWS/App Store rates):
* SaaS Revenue: $1,000 (10 seats maintained to manage the 10x content volume).
* Marketplace Revenue: 10% of $48,000 = $4,800.
* Total Adobe Capture: $5,800.
Conclusion: Adobe’s share of the total campaign budget climbs from 0.9% to 5.3%. The business being eroded is not Adobe's; it is the $200B+ global industry dedicated to physical production logistics. By providing the "Safe Marketplace" for AI Assets, Adobe becomes the primary beneficiary of the production spend.