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Marketing teams adopted AI to move faster. 85% still missed a campaign launch date last year

prnewswire.com
GOOGL Google is mentioned as a company whose marketing teams are using AI but still facing production bottlenecks and missing campaign launch dates, indicating AI is not yet solving the core production issue. AMZN Amazon is mentioned as a company whose marketing teams are using AI but still facing production bottlenecks and missing campaign launch dates, indicating AI is not yet solving the core production issue. UBER Uber is mentioned as a company whose marketing teams are using AI but still facing production bottlenecks and missing campaign launch dates, indicating AI is not yet solving the core production issue. META Meta is mentioned as a company whose marketing teams are using AI but still facing production bottlenecks and missing campaign launch dates, indicating AI is not yet solving the core production issue. PANW Palo Alto Networks is mentioned as a company trusted to run marketing, implying it is a user of marketing production platforms, but the article's focus is on AI's limitations in production.

Marketing teams adopted AI to move faster. 85% still missed a campaign launch date last year A survey of 300+ enterprise marketing leaders finds the bottleneck is production: the work of building, reviewing and shipping emails and landing pages

OTTAWA, ON, July 28, 2026 /PRNewswire/ -- A new report from Knak, the marketing production platform for enterprise teams, quantifies the challenges that lead enterprise marketers to deliver launches late and miss out on strategic work. The Marketing Production in the Age of AI details the problem. It's not strategy or creative missteps but instead everything that happens after the idea is approved: the handoffs, revisions and rebuilds required to turn finished copy into a live email. This is the layer Knak calls marketing production — and the report finds it's quietly consuming enterprise teams, even the ones trusted to run marketing for Google, Amazon, Uber, Meta and OpenAI.

Consider what it takes to send one email. At the companies surveyed, 60% involve four or more people, 54% juggle three to five separate tools, and 69% need two to three rounds of revisions — roughly $300 in internal labor before it even goes out. For half of these teams, approvals still run through email and Slack threads.

AI hasn't closed the gap. 70% of teams have deployed it in production, but 88% say the output still needs moderate to substantial human editing before use. AI is getting teams to a first draft — not to launch.

"Marketers were told AI would hand them back time for strategy. Our data says it hasn't happened yet," said Jennifer Delevante, CMO at Knak. "It's not a talent problem or a creativity problem. It's the production layer — the gap between a good idea and a launched campaign. Until that gets fixed, teams will keep buying tools that get them to a draft and leave them stuck before launch."

Key findings from the report include:

The report details where advanced AI adopters are pulling ahead, how team structure and tech stack decisions affect production speed and what separates organizations that consistently launch on time from those that don't.

About Knak

Knak is the marketing production platform for enterprise teams — the dedicated system where on-brand emails, landing pages, and digital assets get built, reviewed, and made launch-ready, with AI embedded across the production workflow. Trusted by Google, Amazon, Uber, Meta, OpenAI, Forbes, and Palo Alto Networks.

Media Contact

PANBlast for Knak

Jaclyn Westlake

[email protected]

SOURCE Knak