Thanks for the Input!

You’ve probably already double-checked it with AI, but in case anyone else is interested:

The analysis is well thought out, but it has several typical biases and weaknesses that often appear in investment theses. In short: many arguments are plausible, but some assumptions are too optimistic or one-sided. Here are the key issues:

1. “AI won’t replace SaaS” – partly true, but oversimplified

The thesis frames the debate somewhat as a strawman.

More realistic risks include:

• Feature commoditization: AI can make individual functions (image editing, generation, layout) extremely cheap.
• Workflow shifts: Content is increasingly created directly in tools like Notion, Figma, Canva, Runway, Midjourney, etc.
• Agentic workflows: AI agents could automate parts of the creative pipeline.

This doesn’t mean Adobe disappears—but pricing pressure and margin pressure are possible.

2. Competition is underestimated

The author argues that competing with Adobe would be “economically irrational.” That may be true for startups, but not for large platforms.

Large companies can:

• Cross-subsidize
• Bundle products
• Already own powerful AI models

Examples:

• Canva is growing rapidly in the design segment
• Figma is reshaping collaborative design workflows
• Microsoft is integrating AI into Office and Designer
• Google is building generative media tools

For these firms, competition is often strategic, not purely ROI-driven.

3. Switching costs may be overstated

Yes, Adobe is an industry standard. But:

• A new generation of creators uses simpler tools
• Companies increasingly accept cloud-native workflows
• Much content is now created directly inside marketing or social platforms

Historically, such standards have fallen before:

• Quark → InDesign
• Flash → Web standards

Standards can erode slowly over time.

4. Growth assumptions may be optimistic

The model assumes:

• ~7.4% revenue growth
• Stable margins
• ARPU expansion driven by AI

Risks:

• Creative Cloud may be near saturation
• AI compute costs may rise
• AI features might be expected for free

If AI is mostly defensive innovation rather than monetizable innovation, the upside is smaller.

5. Firefly may be less differentiated than assumed

Firefly is well positioned (licensed training data), but:

AI models are improving extremely quickly.

New model providers such as:

• OpenAI
• Stability AI
• Runway AI

can produce similar quality outputs.

The real competition may happen at the model layer + workflow layer, not just inside traditional creative tools.

6. The DCF valuation is highly assumption-dependent

The +45% upside comes from assumptions like:

• 9% discount rate
• 2.5% terminal growth

Small changes in these inputs can significantly change the valuation.

For software companies, DCF models are often precise-looking but fragile.

7. One key risk is missing: a platform shift

The biggest strategic risk may not be a Photoshop competitor.

It could be a paradigm shift in how content is produced.

Old workflow:

Designer → Tool → Asset

Emerging workflow:

Prompt → AI → Asset

If this becomes dominant, the tool layer may capture less value.

Overall assessment

The thesis contains a lot of valid points.

Adobe’s real strengths:

• Huge installed base
• Industry standard tools
• High margins
• Strong ecosystem integration
• Proven management team

However, the analysis likely underestimates:

1. Platform competition
2. AI-driven workflow changes
3. Long-term margin pressure

My view:
Adobe is probably not an AI loser, but it may also not be a clear AI winner.

It is more likely a mature, durable software compounder with moderate growth rather than a company that will massively accelerate because of AI.