4 marketing problems AI can actually solve right now by Artlist.io

Why this matters now

Marketing budgets in 2025 have stayed the same, yet expectations keep rising. CMOs report budgets stuck at roughly 7.7% of company revenue, which means teams are expected to do more with the same dollars. In that context, the most practical use of AI is not a moonshot, but a set of clear fixes to everyday bottlenecks that slow teams down and drive costs up.

This article breaks down four problems that marketers face right now and how AI is already solving them. The difference today is that Artlist AI, including image, video and voice generators, turns AI from a novelty into a reliable production system. When you use AI to streamline your workflow instead of chasing hype, you ship more creative, stay on brand and make decisions based on real performance data. 

1) Rising video costs and shrinking timelines

The problem: Video is still one of the most effective formats in a marketer’s toolkit, but teams feel the squeeze. Shorter formats dominate social feeds, content calendars never stop  and production bottlenecks turn into budget overruns. Teams need more output in less time. 

What’s working: Marketers still see strong returns from video. Wyzowl’s 2024 study reports 90% of marketers say video delivers a good ROI, with 30–60 seconds rated the most effective length, perfect for social placements and paid tests. That supports a strategy shift that marketers need to ship more short pieces, produced in cycles measured in days instead of weeks.

How AI helps:

This is exactly where Artlist AI leads. It helps teams to finish videos in hours not weeks, giving you more room to test, refine, and scale video output without sacrificing quality

• Script to screen speed. Artlist AI storyboards, image generation and AI video generation help teams audition more concepts in less time, then move proven ideas into full production.
• On-the-fly variations. Once a master edit is locked, AI tools can generate multiple aspect ratios and quick alternates for A/B testing without re-editing from scratch.
• Voiceover without the studio. High-quality Artlist AI voiceover makes late-stage copy changes effortless, eliminating the need for booth bookings or talent scheduling. And brands can easily keep tone and pacing consistent.

Klarna recently publicly quantified its savings: about $10 million annually tied to AI in marketing, including a $6 million reduction in image production costs and much faster iteration cycles. While every team’s baseline differs, the directional takeaway is strong and indicates that small time wins across dozens of workstreams add up to real money. 

2) Inconsistent brand voice across markets and channels

The problem: Global campaigns require many voices, languages and platform variations. Human recording sessions can create drift in tone and pacing, and late edits become expensive.

What’s working: Studio-grade text to speech models and voice cloning technology now produce narration that is indistinguishable from a human voice, even when using headphones. This makes versioning practical at scale while keeping quality consistent across dozens of outputs.

How AI helps:

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

• Stable tone across languages. A single brand voice can be replicated across scripts and regions, then fine-tuned for pacing, warmth, and energy. This is made easy with Artlist’s voice cloning models.
• Rapid revisions. Late copy changes are possible at sensible price points, covered by legal licenses and mean details such as new promotion dates can be updated in minutes, not weeks, with less stress on marketers.
• Accessible variants. AI voice and caption pipelines support business localization efforts and accessible workflows without extra studio time. Global campaigns often stall when localized content is linguistically inconsistent. Translation alone doesn’t guarantee cultural fit, and recreating dozens of regional versions drains budgets. AI translation and dubbing tools are closing the gap between literal accuracy, cultural fluency, and still retain the emotion marketers aim for. 

airBaltic, the national airline of Latvia, uses Artlist’s AI voiceover to speed production and experiment with tone and pacing, reporting that work that used to take many hours now moves much faster, with tighter control over fit and finish before publication. For a team managing constant route and fare updates, shaving hours off every revision adds meaningful capacity.

3) Creative testing at the speed of social

The problem: Marketers know more than most how feeds change daily. What worked last quarter may stall today. Marketers need more creative swings, which means more thumbnails, cuts, and captions, all without blowing the budget.

What’s working: Recent data points to one clear advantage: brands that test creative variations more frequently 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 refreshing assets monthly saw 17% higher click-through rates than static campaigns. 

AI tools now make A/B testing much easier. Whether the changes are big or small, they are much less taxing, and keeping up with the increased cadence is possible by producing and refining short-form assets in hours instead of days. AI tools like video generators allow marketers to generate alternate visuals, swap 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 brand assets. Within the first week, participants generated over 100,000 original pieces, driving more than 30% higher digital engagement that quarter. Internally, the company’s marketing team analyzed those submissions to understand which visuals and tones drew the strongest responses. That feedback reshaped future campaign planning, trimming production time and improving message precision.

How AI helps:

Artlist AI lets you scale creative volume without scaling your budget, so you can test and learn faster. 

• Images and thumbnails at scale. Rapid asset generation means marketers can refresh visuals for each social cycle without starting from zero.
• Micro-edits for micro-audiences. Teams can test small creative differences — intro clips, CTAs or captions — against audience segments and measure results quickly.
• Faster learning loops. Instead of waiting for quarterly reports, marketers can identify high-performing creative in real time and reallocate spend to proven variants.

Creative volume matters less than creative velocity. When teams can produce, test, and iterate at social speed, they turn marketing from a guessing game into a measured system of learning.

4) Measuring creative impact with real feedback loops

The problem: Marketers still rely heavily on vanity metrics, for example, views, likes and impressions, but they say little about actual persuasion. Traditional testing cycles are slow, and connecting creative choices to downstream results is often guesswork.

What’s working: AI analytics tools can now correlate creative elements like color palettes, pacing, tone or voice style, with engagement and conversion metrics. Instead of waiting for a quarterly attribution report, teams can see which versions perform best in near real time.

In 2024, Mondelez used AI-based video analysis to study over 12,000 ad variants across brands like Oreo and Cadbury. The company found that ads with warmer narration tones and moderate pacing drove 19% higher recall and 11% stronger purchase intent. Those insights were rolled back into production templates, improving both speed and consistency across markets. Mondelez also recently disclosed plans to reduce production costs by 30–50% using its generative-AI tool, with an investment of over U.S. $40 million and target rollout of AI-generated TV ads by the 2026 holiday season.

How AI helps:

• Content analysis at scale. Vision and audio models scan thousands of creative variants to detect which stylistic traits correlate with stronger brand recall.
• Real-time dashboards. Campaign teams get immediate feedback on performance by geography, audience, or platform instead of waiting for end-of-month reports.
  
• Creative optimization guidance. AI tools surface which combinations of voice, script length, or visual tone work 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 by behavioral data, not just opinion. That feedback loop helps marketers spend smarter and produce more resonant campaigns.

The takeaway

Marketers don’t need a grand reset to benefit from AI. The immediate wins are practical: faster video, full production cycles, steady brand voice across regions, more creative tests per month, tighter compliance and a relieved creative team. In a year when budgets are steady rather than expanding, those gains matter. The smartest teams ship smaller, learn quicker and document everything, turning AI from a headline into a dependable part of how they make and run campaigns. 

If you’re ready to modernize your workflow and unlock real creative speed, talk to Artlist’s experts. Join 33 million creators using Artlist to produce high-volume, studio-level content without the studio cost, and see how Artlist AI can transform the way you work.