Adobe

7 items

Wall Street Journal 2026-04-29-2

AI Worries Have Returned to Wall Street. Now Come Earnings.

April 28 was the first day the AI trade split in two: Oracle, CoreWeave, and SoftBank fell 4-9% on OpenAI's missed revenue and user targets while Adobe, Salesforce, and ServiceNow rose. Same news, opposite direction; the market stopped pricing OpenAI counterparties as cloud infrastructure stocks. They are receivables now, and the multiple compresses until non-OpenAI revenue concentration is demonstrated.

Wall Street Journal · 2026-04-21 2026-04-24-w1

Exclusive | Adobe Unveils Agents for Businesses Amid Threat of AI Disruption

Shantanu Narayen's claim that token spend routes through Adobe's applications rather than directly to model providers is either the smartest incumbent defense in enterprise software or the most expensive assumption nobody is testing publicly. Adobe and Salesforce ran the same play on the same day: expand model partnerships, ship agent orchestration, reframe token economics as proof the application layer still matters. The number that determines whether this holds is what share of enterprise agent token spend actually routes through application-layer incumbents versus going direct, and no analyst is publishing it. Google's internal routing behavior, reported separately this week, is the most honest data point available: Googlers on the Gemini team used Claude Code instead, suggesting that when practitioners have a choice, application-layer loyalty doesn't survive capability gaps. Adobe at minus 30 percent YTD is a structurally different bet depending on where that routing number lands, and the incumbents are betting the whole defense on a figure they don't control.

The Guardian 2026-04-22-1

Why are respected film-makers suddenly embracing AI?

Every creative-tool revolution of the last thirty years — digital cameras, Auto-Tune, CG, stock photography, streaming — lowered the floor faster than it raised the ceiling; value accrued to platforms harvesting the output glut and to a shrinking tier of masters whose scarcity compounded. Generative AI repeats the pattern, with a twist: auteur adoption now functions as a cultural permission structure, giving studios reputational cover to degrade the mid-tier before the tool is actually good. The investable question isn't who builds the best creative AI; it's who owns the craft-provenance layer that lets the top tier monetize its scarcity.

Wall Street Journal 2026-04-21-1

Exclusive | Adobe Unveils Agents for Businesses Amid Threat of AI Disruption

Adobe and Salesforce ran the same script on the same day: broaden model partnerships, ship agent orchestration, reframe token spend as a feature that passes through the application layer. Narayen's claim that model providers are infrastructure and "token usage for them is going to come through our applications" is the defining line of the incumbent defense, and it lives or dies on a number nobody's reporting: what share of enterprise agent token spend actually routes through application-layer incumbents versus going direct to model providers. At 60%, Adobe at minus 30 percent YTD is a buy; at 20%, the wrapper thesis is right and the stock is halfway to fair value.

The Verge / Decoder 2026-04-20-3

Canva's Big Pivot to AI: Editable Output as Agentic SaaS Moat

Perkins named the taxonomy that will split agentic SaaS winners from losers: AI 1.0 is one-shot, AI 2.0 is iterative. The real bet isn't the model or the generation quality; it's where the output lands. Canva's decade of interoperable layered-format investment is the scaffolding that lets the agent hand you back an editable file instead of a dead-end artifact, which is how the ServiceNow/Salesforce playbook plays out one tier down in the consumer-to-enterprise funnel. Architecture, token economics, and platform-encroachment risk all got deflected; the format moat is the one claim that survived scrutiny.

Morningstar · 2026-03-18 2026-03-20-w3

Morningstar's Largest-Ever Moat Review: 37 Downgrades and the Two Upgrades That Matter More

Morningstar's largest moat review since the firm began rating competitive advantages produced 37 downgrades and two upgrades, and the ratio is the argument: when AI compresses the cost of producing software outputs, application-layer moats narrow, but the infrastructure those applications traverse becomes more critical and more defensible. The buried signal isn't the fair value cuts to Adobe or Salesforce, which the market had already priced in before Morningstar's methodology caught up. It's that CrowdStrike and Cloudflare widened their moats specifically because AI expands the attack surface and network complexity that security infrastructure must handle, the same dynamic that makes Ramp's Anthropic data legible, where the product handling more sensitive enterprise workloads commands premium pricing that cheaper alternatives can't replicate. MIT CSAIL's finding that compute efficiency varies 40x between labs at the frontier adds the infrastructure layer: if the models themselves are inconsistent, the verification and security tooling sitting between model outputs and production systems becomes the new scarce layer. What AI compresses at the application surface, it reconstitutes as a harder, less visible moat one layer down.

Morningstar 2026-03-18-2

Morningstar's Largest-Ever Moat Review: 37 Downgrades and the Two Upgrades That Matter More

Morningstar halved its moat duration horizon for application-layer software from 20 years to 10, triggering 37 downgrades in the largest review since the firm started rating moats. The fair value cuts (Adobe at 32%, ServiceNow at 18%, Salesforce at 7%) are a lagging indicator: these stocks were already down 20-30% before the methodology caught up. The buried signal is in the two upgrades: CrowdStrike and Cloudflare both went to wide moat because AI expands the attack surface and network traversal that security infrastructure must handle. When 37 moats narrow and two widen, the widening tells you where the new toll bridges are.