Everyone Thinks Adobe Will Suffer from AI. Here's Why It Could Thrive Instead

News Summary
Despite widespread market fears that Artificial Intelligence (AI) will disrupt Adobe's business, leading to a 26% year-to-date stock decline and multiple analyst downgrades, the company is reporting all-time high revenue and earnings per share. Adobe's third-quarter earnings showed a 14% year-over-year growth in EPS, with AI-influenced Annual Recurring Revenue (ARR) reaching $5 billion, significantly exceeding the 2024 target of $3.5 billion. CEO Shantanu Narayen views AI as "the biggest opportunity for Adobe in decades," integrating AI capabilities into its flagship Creative Cloud and offering commercially safe AI models to mitigate copyright concerns for corporate clients. Furthermore, Adobe Experience Platform (AEP) AI Assistant has seen 70% adoption among eligible customers, and the president of its digital media business anticipates that AI advancements will stimulate more content creation, fostering a virtuous cycle. Creative Cloud accounts for only 59% of Adobe's total revenue, with other segments like Digital Media and Digital Experience also growing at 12% and 9% year-over-year, respectively. Currently, Adobe trades at a P/E ratio of 21, well below the S&P 500 average of 32, and the company is actively repurchasing shares to boost EPS.
Background
Since ChatGPT ushered in the age of AI in 2022, there has been widespread market concern regarding the impact of generative AI on the creative software industry. This apprehension has led to Adobe's shares being down 26% year-to-date in 2025, even as the S&P 500 index has risen 14%. Several prominent analytical firms, including Morgan Stanley, Wedbush, and Melius Research, have recently downgraded Adobe, citing doubts about generative AI's ability to grow rather than harm its business, and questioning its relevance in a market increasingly shaped by AI tools.
In-Depth AI Insights
Is the market fundamentally misreading Adobe's AI narrative? Market sentiment appears to be oversimplifying Adobe's position, broadly assuming disruption from generative AI. However, Adobe's core enterprise customer base demands "commercially safe" and copyright-compliant AI solutions, creating a natural barrier that lightweight or open-source AI tools cannot easily breach. The prevailing pessimistic view might be overlooking Adobe's strategic deep integration of AI capabilities into existing professional workflows, which not only enhances efficiency but also strengthens user stickiness. Can Adobe's "AI virtuous cycle" sustainably build new moats? The company's emphasis on an "AI virtuous cycle"—where more content creation drives model improvement, leading to even more content—holds long-term potential. This indicates Adobe's commitment to AI as a core component of its data flywheel and ecosystem expansion. However, the robustness of this moat depends on its AI models consistently outperforming rapidly iterating competitors in terms of efficiency, quality, and specific features, and how effectively these advantages translate into new pricing power and market share. If AI democratization significantly lowers content production barriers, the value proposition of its premium software will face ongoing scrutiny. What signal does Adobe's aggressive share buyback activity send in the current context? Against a backdrop of stock price pressure due to AI concerns but strong financial performance, Adobe's substantial share repurchases are a clear signal of management's strong confidence in the company's intrinsic value. This strategy not only boosts earnings per share and offsets valuation discounts driven by market sentiment but may also suggest that management believes the market is significantly underestimating the company's AI transformation strategy. For investors, this could indicate that management perceives the current share price as an attractive buying opportunity and is committed to returning value to shareholders and stabilizing the stock.