By Lucy Marino, Executive Director, Marketing and Creative, Robert Half
Marketing and creative teams have always been early adopters. When a new technology arrives, they are among the professionals who test it first, because their work is defined by change and innovation. AI in marketing is no exception, except that the pace has been extraordinary. In just 2 years, AI-powered tools like Adobe Firefly, HubSpot Marketing Hub and Jasper have gone from a novelty to a part of everyday workflows for many teams. Newer developments like agentic AI—systems that can act on instructions without constant prompting—are already in use by some teams, though most are still finding their footing with them.
When I speak with marketing and creative professionals, the question has moved past "Should we use AI?" to "How do we use it well?" And while most organizations are still discovering the pros and cons of marketing and artificial intelligence, that uncertainty is actually an opportunity. It means marketers can shape how the technology gets used by their teams.
Marketing and AI: What teams need to know in 2026
AI in marketing: A creative multiplier
One of the biggest misconceptions about marketing and AI is that the technology replaces creative thinking. From what I've seen, the opposite is true. AI is a creative multiplier. A campaign manager can generate and test dozens of subject lines or ad variations in the time it once took to brainstorm a handful. A designer can produce a full range of visual concepts shortly after a brief is discussed. That speed frees humans to focus on evaluating, refining and building upon ideas. Perhaps most importantly, AI gives us more options to work with.
When you're not constantly pressed to ideate from scratch, you have more time for the conceptual and strategic thinking that sets campaigns apart. Data from Robert Half supports this: 41% of marketing and creative professionals say AI has streamlined their workflow and freed them to focus on more strategic tasks, while 40% say it has enhanced their productivity without changing their core responsibilities. Just 7% say AI has made their job more difficult.
As AI tools become more prevalent, some professionals may be concerned their work will be devalued. I believe human-honed products will always hold premium value. For example, generative AI tools can’t replace the uniquely human capacity to access subtle social and cultural cues, which is critical for developing customer-centric products and services.
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Where marketing and AI adoption stand today
Adoption is nearly universal, according to our research: 97% of marketing and creative teams are now using or implementing AI-powered software, from generative tools and agentic AI to AI features built into platforms such as Adobe Creative Cloud and Figma. And 77% plan to increase their investment.
The most common applications include:
Content creation and copywriting (46% of teams)
Social media management (44%)
Campaign analytics and reporting (44%)
Predictive analytics for customer behavior (43%)
Customer segmentation and targeting (40%)
Artificial intelligence in advertising is also expanding, with more than 2 in 5 teams using predictive analytics to forecast customer actions and 32% applying AI to paid media optimization.
Meanwhile, 79% of marketing and creative professionals say they're confident using AI in their current role, though 58% are still actively learning to use the tools more effectively. That's a healthy sign. People are working with AI but recognize they haven't tapped its full potential.
4 ways to prepare for artificial intelligence in marketing
Whether you're a professional looking to stay ahead or a manager building an AI-ready team, the same fundamentals apply. Here are 4 things worth doing now.
1. Pick a workflow and improve it with AI
The most credible way to build marketing and AI skills is to apply them to something very familiar. Say you spend 2 hours every Monday pulling performance data from 3 platforms and formatting it into a client-facing deck. Instead, you could set up an AI agent in a tool like Zapier to pull that data overnight and draft the slides, so Monday morning you're reviewing and refining instead of copying and pasting. Track the time saved or the improvement in output quality. And always ensure you’re using AI tools that your company allows, or make a pitch to your manager if you’d like to test out a new platform.
2. Learn to spot what AI gets wrong
AI output often looks polished but contains real errors—incorrect statistics or copy that sounds right but misses the brand tone. Review AI work with the same rigor you'd apply to any outside source. Catching those gaps requires as much judgment as verification, and that judgment is what makes an AI-fluent professional stand out.
3. Double down on the human skills AI can't replicate
Content strategy and audience empathy are harder to automate than task execution. A designer who understands why a visual concept works for a particular demographic brings something an image generator can't. A strategist who reads cultural shifts before they show up in data is more useful than ever.
To sharpen these skills, make a habit of reviewing AI output against your audience's actual behavior. Compare what the tool suggested with what your analytics or customer feedback tells you. If you're a manager, build this into your team's workflow. Regular creative reviews where people get together to critique AI drafts strengthen everyone's editorial eye and keep brand standards from slipping.
4. Don’t wait to be told
You don't need to wait for your organization to roll out a formal marketing and AI program before getting familiar with the tools yourself. Start by experimenting with platforms on your own time and materials. Seek out content—webinars, online courses and informational articles—to understand how AI is being applied across marketing and creative workflows. LinkedIn Learning offers practical, expert-led courses, many of which are free or low-cost.
The future of marketing and AI
I believe the future for marketing and creative professionals is bright. AI, no matter how advanced, won't replace human creativity, cultural intuition or the ability to tell a story that moves people. But the tools will keep changing how that work gets done, and they'll keep changing fast. The marketers and creatives who stay curious and understand how AI is reshaping talent needs will be the ones shaping what comes next.
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