The headline finding is simple: marketers are warming to AI, but creative challenges and legal risks still loom over the technology's adoption in advertising.

That is the conclusion flagged by Digiday's reporting on the state of AI in marketing, and it captures where the industry actually sits in practice. Enthusiasm is no longer the bottleneck. Execution and liability are.

What does growing acceptance actually look like?

Marketing teams have moved past the experimental phase that defined the last two years. AI tools now appear in real production workflows rather than pilot programs, and the tone among practitioners has shifted from curiosity to routine use.

But acceptance is not the same as satisfaction. The reporting points to persistent friction on two fronts: the creative output itself and the legal exposure that comes with using it.

Why do creative challenges persist?

AI-generated content still struggles to meet the standards brands demand for finished campaigns. Marketers who use these tools routinely hit limits on originality, brand fit, and craft — the gap between "good enough for a draft" and "good enough to ship" remains wide.

This is the practical ceiling on adoption. Teams can generate volume quickly, but turning that volume into work that survives creative review is a different problem, and it has not been solved.

What are the legal risks?

The second unresolved issue is liability. Marketers face open questions around intellectual property, copyright, and the provenance of AI-generated material. Until those questions have clear answers, brands carry exposure they cannot fully price or insure against.

Legal uncertainty does not stop usage — the headline makes clear that adoption continues — but it does shape how cautiously teams deploy the tools, particularly in consumer-facing creative.

What is the takeaway?

The industry position is conditional optimism. Marketers use AI because it delivers speed and scale, and they will keep using it. What holds the technology back from deeper integration is not skepticism about its value but two concrete, unsolved problems: output quality and legal risk.

Both are fixable in principle. Neither is fixed today. Until creative tools close the quality gap and regulators or courts clarify the legal ground rules, AI in marketing will keep growing — with brakes on.

Note: the underlying report was headline-level; this article reflects the facts available and does not add figures, quotes, or findings beyond what the source stated.