Adobe isn’t dead yet.
That might sound like a low bar, but in the current AI space, where every legacy software company is being measured against a wave of faster, cheaper, AI-native tools, “not dead” is actually a meaningful position to defend. Adobe has been doing exactly that — and now it has some high-profile backup.
Nvidia CEO Jensen Huang recently weighed in on the broader concern that established tech companies could end up as collateral damage in the AI boom. Investors have been nervous. The worry is that the biggest winners in AI infrastructure — companies like Nvidia itself — might be building the very tools that eventually eat into the market share of legacy software giants. Adobe has been squarely in that crosshairs.
But Huang’s read? Adobe isn’t a loser here. And Adobe’s own leadership agrees, loudly.
What Adobe Is Actually Saying
Adobe’s position isn’t just a PR statement. The company’s board authorized a $25 billion stock buyback program, a move that signals real confidence in its own trajectory. Buybacks at that scale aren’t something you greenlight when you think the floor is about to drop out. That’s a company betting on itself with serious money.
The buyback runs through April 30, and it lines up with Adobe’s broader push to stay competitive in AI — not just survive it, but use it as a growth lever across its product suite.
From a Toolkit Reviewer’s Angle
Here at agntbox, we spend a lot of time testing what actually works. And I’ll be honest — for a while, Adobe felt like it was playing catch-up. Every week there’s a new image generator, a new video tool, a new AI writing assistant that promises to replace something Adobe charges a monthly subscription for. The skepticism around Adobe wasn’t irrational.
But here’s what I keep coming back to when I test these tools side by side: Adobe’s integrations are deep. When Firefly generates an image inside Photoshop, it’s not a bolt-on feature — it’s woven into a workflow that millions of professionals already live inside. That’s genuinely hard to replicate. A standalone AI image tool might produce impressive outputs, but it doesn’t have 30 years of professional workflow baked around it.
That’s not nostalgia talking. That’s a real competitive advantage that newer tools are still working to close.
Why Jensen Huang’s Endorsement Matters
Huang isn’t in the business of cheerleading for companies out of politeness. Nvidia’s entire model depends on identifying where AI compute is actually going to be used at scale. When he signals that Adobe is positioned well, that’s a read on where enterprise and creative AI workloads are heading — and it suggests Adobe’s infrastructure bets are aligned with where the serious GPU demand is going.
That’s a different kind of validation than a glowing press release. It’s a market signal.
What Still Needs Proving
None of this means Adobe has figured everything out. There are real questions worth tracking:
- Can Adobe’s AI features justify its subscription pricing against free or cheaper alternatives that are closing the quality gap fast?
- Will creative professionals — especially younger ones — build their workflows inside Adobe, or will they default to newer tools and only use Adobe when a client requires it?
- How does Adobe monetize AI generation at scale without cannibalizing its own stock image and font licensing ecosystem?
These aren’t hypothetical concerns. They’re the actual friction points I hear from designers and video editors who use the tools I review. Adobe has answers in progress, but “in progress” is doing a lot of work in that sentence.
My Take
Adobe is not a company in freefall. The $25 billion buyback, Huang’s public alignment, and the genuine depth of its AI integrations all point to a company that has a credible path forward. Whether that path leads to growth or just a slower decline is still an open question — but the narrative that Adobe is simply getting left behind by AI doesn’t hold up to scrutiny right now.
For anyone building a creative or content workflow and wondering whether to go all-in on Adobe’s ecosystem or start migrating to newer tools, my honest advice is this: test both. Adobe’s AI tools are more capable than the skeptics give them credit for. But the newer tools are moving faster than Adobe’s defenders want to admit.
The real story isn’t whether Adobe wins or loses. It’s whether it can stay relevant enough that the question stops being asked.
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