4 marketing problems that AI can solve right now

Why is this important now?

Sales budgets for 2025 are unchanged, however expectations for this rise. CMOs report fixed budgets at about 7.7% of company revenue, meaning teams are expected to do more with the same dollars. In that context, the practical application of AI is not a moonshot, but a set of concrete solutions to everyday problems that reduce teams and increase costs.

This article breaks down four problems marketers are currently facing and how AI is solving them. The difference today is that Artlist AI, which includes image, video and voice generators, transforms AI from innovation into a reliable production system. When you use AI to simplify your workflow instead of chasing hype, you deliver more creativity, stay on product and make decisions based on real performance data.

1) Increasing video costs and decreasing time periods

Problem: Video is still one of the most effective assets in a marketer’s toolkit, but teams are feeling the squeeze. Short formats rule social feeds, content calendars never stop and production constraints turn into budget overruns. Teams need to get more out in less time.

What works: Advertisers are still seeing strong returns from video. Wyzowl’s 2024 study reports 90% of marketers say video delivers good ROI, with 30–60 seconds measured as the most effective length, suitable for social placement and paid tests. That underpins the strategic shift marketers need to deliver shorter pieces, produced in cycles measured in days instead of weeks.

How AI helps:

This is exactly where Artlist AI leads. It helps teams complete videos in hours instead of weeks, giving you more room to test, refine, and measure video output without sacrificing quality.

• Script to screen speed. Artlist AI storyboards, graphics production and video production AI help teams test more concepts in less time, then move proven ideas to full production.
• The difference is there in the plane. Once the master plan is locked down, AI tools can generate multiple impression rates and quickly convert to A/B testing without re-planning from scratch.
• Voiceover outside the studio. Artlist AI’s high-quality voiceover makes post-copy changes effortless, eliminating the need to book a booth or schedule talent. And brands can easily keep the tone and flow consistent.

Klarna recently took its money public: about $10 million annually tied to AI in marketing, including $6 million in reduced image production costs and faster iteration cycles. Although every team’s base is different, the takeaway is solid and shows that the little time we win in many work streams adds up to real money.

2) Inconsistent brand voice across markets and channels

Problem: Global campaigns require multiple voices, languages ​​and platform differences. Human recording sessions can cause pitch variations and slowness, and late editing is expensive.

What works: Studio-grade text to speech modeling and voice synthesis technology now produces narration that is indistinguishable from the human voice, even when using headphones. This enables rendering to scale while keeping quality consistent across multiple outputs.

How AI helps:

Artlist’s AI voice gives you one brand voice you can trust, every time, in every market.

• Stable tone for all languages. A single production voice can be repeated across scripts and regions, then fine-tuned for speed, warmth, and power. This is made easy with Artlist’s voice editing models.
• A quick update. Late copy changes can be made at reasonable price points, covered by legal licenses and meaningful details like a new promotion date can be updated in minutes, not weeks, with less stress on advertisers.
• Accessible variety. AI voice and caption pipelines support local business efforts and accessible workflows without additional studio time. Global campaigns often stall when local content clashes linguistically. Translation alone does not guarantee cultural equivalence, and recreating dozens of regional translations drains the budget. AI translation and copywriting tools bridge the gap between literal accuracy, cultural fluency, and still maintain the emotional marketers are aiming for.

airBaltic, the national airline of Latvia, is using Artlist’s AI voiceover to speed up production and check tone and flow, reporting that work that used to take hours now moves much faster, with tight control of fit and finish before publication. For a team that manages continuous route and fare updates, shaving hours without another update adds meaningful volume.

3) Creative testing at community speed

Problem: Marketers know more than most how feeds change daily. What worked last quarter may stop today. Advertisers need more creative flexibility, which means more icons, cutouts, and captions, all without hitting the budget.

What works: Recent data points to one clear advantage: brands that explore creative diversity often outperform those that don’t. A 2024 Nielsen study found that campaigns using three or more creative versions improved ad recall by up to 32%, while those assets that refresh monthly saw 17% higher click-through rates than static campaigns.

AI tools now make A/B testing much easier. Whether the changes are large or small, they are very taxing, and keeping up with the increased cadence is possible by producing and refining short-form goods in hours instead of days. AI tools like video generators allow marketers to create alternative visuals, exchange voiceovers or localize content without requiring new studio sessions.

In 2023, Coca-Cola invited consumers to produce artwork and short videos using AI trained on its licensed products. During the first week, participants produced over 100,000 original pieces, driving over 30% digital engagement in that quarter. Internally, the company’s marketing team analyzed those posts to understand which visuals and tones drew the strongest responses. That feedback has reshaped future campaign planning, shortening production time and improving message accuracy.

How AI helps:

Artlist AI allows you to scale creative volume without scaling your budget, so you can test and learn quickly.

• Photos and icons for quality. Rapid inventory generation means that marketers can update visuals for each social interaction cycle without starting from scratch.
• Smaller editing for smaller audiences. Teams can test small creative differences – intro clips, CTAs or snippets – against audience segments and measure results quickly.
• The pitfalls of rapid learning. Instead of waiting for quarterly reports, marketers can identify top-performing creatives in real time and reallocate spend to proven alternatives.

The volume of creation is less important than the speed of creation. When teams can generate, test, and iterate at the speed of a community, they transform marketing from a guessing game into a measured learning system.

4) Measuring creative impact with real feedback loops

Problem: Marketers still rely heavily on vanity metrics, for example, views, likes and impressions, but say little about persuasion. Standard testing cycles are slow, and connecting creative options to bottom line results is often guesswork.

What works: AI analytics tools can now correlate creative elements such as color palettes, movement, tone or voice style, engaging with conversion metrics. Instead of waiting for a quarterly attribute report, teams can see which versions are performing best in near real-time.

In 2024, Mondelez used AI-based video analysis to study more than 12,000 different ads across brands like Oreo and Cadbury. The company found that ads with warm narrative tones and pacing drive 19% higher recall and 11% stronger purchase intent. That information was fed back into production models, improving both speed and consistency across markets. Mondelez also revealed plans to reduce production costs by 30-50% using its AI productivity tool, with an investment of US $40 million and the targeted release of AI-generated TV commercials for the 2026 holiday season.

How AI helps:

• Scale content analysis. Visual and auditory models scan thousands of pieces of art to determine which stylistic features are associated with strong brand recall.
• Real-time dashboards. Campaign teams get instant feedback on performance by location, audience, or platform instead of waiting for month-end reports.
  
• A guide to developing creativity. AI tools surface where a combination of voice, script length, or visual tone works best, turning subjective preferences into measurable variables.

For the first time, creative decisions such as voice choice, image framing and script tempo can be validated with behavioral data, not just opinion. That feedback loop helps marketers spend smarter and produce better campaigns.

The takeaway

Marketers don’t need a great reset to benefit from AI. Current wins are practical: fast video, full production cycles, strong brand voice in all regions, more creative tests every month, strict compliance and a free creative team. In a year when budgets have stabilized instead of growing, those gains are significant. The smartest teams are deploying smaller, faster learning and documenting everything, turning AI from a topic into a trusted part of how they create and run campaigns.

When you’re ready to modernize your workflow and unlock true creative speed, talk to the experts at Artlist. Join the 33 million creators using Artlist to produce high-volume, high-quality content without studio costs, and see how Artlist AI can change the way you work.