Content Creation
How Marketing Leaders Are Using GenAI for Content Creation in 2026
By Andrew Wheeler on June 1, 2026
Marketing leaders are using GenAI for content creation primarily to accelerate production speed, not to cut costs. In Skyword's 2024 survey of over 200 marketers, 71% cited speed as their top driver for GenAI adoption, and 41% reported measurable time and resource savings. Two years later, the projection that adoption would become near-universal has played out: 95% of B2B marketers now use AI-powered tools in some capacity, with 89% using them for content creation. The most effective use case remains repurposing high-performing assets into derivative content across channels rather than generating long-form content from scratch.
As content demand surges and marketing budgets tighten, it's only natural to explore cost-effective solutions like Generative AI (GenAI) for faster content creation. But here's the challenge: how do you ensure your content remains high-quality, brand-consistent, and strategically impactful while diving into this new technology era?
Beyond the obvious hurdles, there are deeper concerns — how do you measure GenAI's value, address legal and technical issues, and manage uncertainties about its long-term impact, all while juggling your current responsibilities? Many marketers I've spoken with share these concerns, but they aren't letting them stand in the way of embracing GenAI's transformative potential.
At Skyword, we're dedicated to guiding the responsible adoption of GenAI in content marketing.
To that end, we surveyed over 200 marketers to uncover how they were navigating the use of GenAI in content creation, specifically. Our findings, detailed in our 2024 report, GenAI in Content Creation: Adoption Insights for Marketing Leaders, captured how marketers were using GenAI at an inflection point — and the trends it revealed have only accelerated since. Here's what we found, and where things stand now:
GenAI for Content Creation Is Now Near-Universal
When we ran our survey in 2024, 55% of marketers were already using GenAI for content creation, and the trajectory pointed sharply upward. That shift has since arrived. Adoption hasn't just grown — it's normalized. 88% of organizations now report regular AI use in at least one business function, and among B2B marketers specifically, AI-powered tools are now standard rather than experimental. The competitive question is no longer whether to adopt GenAI, but how to use it strategically rather than tactically.
71% of Marketers Prioritize Speed Over Cost Reduction
In our 2024 survey, a striking 71% of marketers said that improving operational speed — not cost reduction — was the main reason they were integrating GenAI into content creation. That emphasis on speed reflected the pressure to produce content quickly to stay competitive.
While GenAI excels at rapid content generation, it's not the best choice for crafting high-quality, long-form content from scratch. For one, content generated solely by AI is not copyrightable — the U.S. Copyright Office reaffirmed in its January 2025 report on AI copyrightability that human authorship remains the bedrock of protection, and that prompts alone don't supply enough human control. Instead, use GenAI to adapt and repurpose your brand's highest-value or top-performing content.
Legal and Security Concerns Once Blocked 40% of Teams
As of mid-2024, nearly 40% of marketers reported that their companies had banned the use of GenAI for content creation, and among them, 73% cited legal and security concerns as the primary reason. Those concerns haven't vanished in the time since — they've evolved. Rather than lifting bans wholesale, many organizations have replaced them with governance frameworks, human-oversight requirements, and clearer IP guardrails. The January 2025 U.S. Copyright Office guidance has sharpened the picture: because purely AI-generated material isn't copyrightable, repurposing human-created assets (rather than generating net-new from scratch) has become the safer path for protecting content ownership.
That shift from outright bans to governed use is well underway. Larger enterprises, with more resources to build governance, led the way, but the gap is closing fast: smaller and midsize firms, which our 2024 survey found were the most likely to have bans in place, have been catching up at an accelerating pace. For most teams today, the question isn't whether GenAI is allowed, but under what guardrails.
Forward-thinking marketers are proactively addressing these concerns and gaining approval for GenAI use by:
- Building joint business cases with experienced vendors
- Focusing on repurposing content with AI rather than creating from scratch (in part, to protect content ownership)
- Proposing GenAI processes with human oversight
- Partnering with vendors to ensure responsible data usage and brand control over output
83% of Marketers Report AI Has Boosted Their Productivity
In our 2024 survey, 41% of marketers were already seeing measurable time and resource savings from using GenAI in content creation. That efficiency is now table stakes: in CoSchedule's 2025 State of AI in Marketing report, 83% of marketers said AI had increased their productivity. The real challenge has shifted to converting operational gains into performance gains — higher audience engagement, stronger brand authority, and measurable business results.
To truly maximize the benefits of GenAI, go beyond tracking time saved. Set performance metrics that directly tie GenAI's output to your business goals. For instance, measure the impact of AI-generated content on conversion rates, audience retention, or SEO rankings. By honing in on specific KPIs, you can ensure that GenAI not only streamlines your processes but also drives meaningful growth and deeper audience connections.
Scale Your Content Program with GenAI
Our research report offers a six-point action plan, rooted in our expertise in content marketing and responsible GenAI adoption. This plan is designed to help you maximize GenAI's benefits while minimizing risks.
Download the full 2024 research report here, or see how the landscape has shifted in our 2026 follow-up, How GenAI Is Reshaping B2B Buyer Decisions in 2026.
At Skyword, we're dedicated to helping you use GenAI effectively and responsibly. Accelerator360™ is our AI-powered content marketing engine, built to amplify your team's impact rather than replace human expertise. It atomizes your top-performing content into targeted pieces for every audience and channel, automates SEO tasks like keyword research and brief creation, and audits your existing content to improve performance — so you can publish on-brand content that search engines want to cite.
Ready to start leveraging GenAI to scale your content program? I'm here to help.
Key Takeaways
- Adoption is now near-universal: What Skyword's 2024 survey projected has arrived — GenAI for content creation has moved from pilot programs to standard practice, with the vast majority of B2B marketers now using AI-powered tools.
- Speed, not cost, drove early adoption: 71% of marketers in our 2024 survey cited operational speed as the primary reason for integrating GenAI, with cost reduction secondary.
- Repurpose, don't generate from scratch: The most effective GenAI use case is adapting existing high-performing assets into derivative formats — rather than AI-generating long-form content, which is not copyrightable under January 2025 U.S. Copyright Office guidance.
- Legal concerns have evolved, not vanished: Nearly 40% of teams had banned GenAI as of mid-2024 (73% citing legal and security risks). Most have since replaced outright bans with governance and human-oversight frameworks.
- Efficiency is now table stakes: the vast majority of marketers report AI boosting productivity, so the bar has moved to tying GenAI output to performance KPIs — conversion rates, audience retention, and SEO/AI-search visibility.
Frequently Asked Questions
Q: What is the most effective way for marketing leaders to use GenAI in content creation?
A: The most effective approach is using GenAI to repurpose and atomize existing high-performing content — eBooks, webinars, research reports — into derivative assets like blog posts, social updates, and email campaigns. This preserves content ownership (purely AI-generated content is not copyrightable) while delivering the speed gains marketers rank as their top priority.
Q: What are the biggest barriers to GenAI adoption in enterprise content marketing?
A: Legal and security concerns were the dominant barrier as of mid-2024, when nearly 40% of marketing teams had banned GenAI. Most organizations have since shifted from outright bans to governance frameworks — building joint business cases with vendors, requiring human-oversight workflows, and focusing on content repurposing rather than net-new AI generation.
Q: How do you measure the ROI of GenAI in content marketing?
A: Tracking time saved is no longer enough. The current best practice is setting performance KPIs that tie GenAI output directly to business outcomes — conversion rates, audience retention, and SEO and AI-search visibility — to demonstrate impact beyond operational efficiency.
Q: How fast is GenAI adoption growing among marketers?
A: It has gone mainstream. What began as speed-and-efficiency pilots in 2023–2024 is now standard practice, with 88% of organizations reporting regular AI use in at least one business function. The focus has shifted from whether to adopt GenAI to how to use it strategically.
