AI tools have transformed the marketing industry, promising flawless automation and innovation. At Metodas, we’ve been pioneers in this AI revolution, centering our collective around AI-skilled professionals. Our expertise enables us to leverage these tools effectively while recognizing their limitations.

As experts in AI-driven marketing, we’ve seen how aggressive market growth can lead to less ethical practices. While 70% of marketing leaders now use AI, many remain unaware of the hidden flaws, errors, and costs that often accompany these solutions. Our experience uniquely positions us to navigate these challenges and deliver effective AI-powered strategies.

Flawless Marketing, Hidden Errors

AI tools often promote their capabilities as seamless and nearly perfect. For instance, Runway AI showcases hyperrealistic video generation but fails to mention that 40-50% of outputs may be unusable due to glitches or morphing. During our recent usage, 30 out of 60 videos were unusable due to technical issues, even though we followed best practices. Support informed us that the tool is “experimental”—a disclaimer rarely mentioned in advertisements.

These hidden shortcomings are a concern, particularly as 60% of marketing experts express worries about generative AI potentially harming brand reputation due to bias or misalignment of values.

Lack of Transparency in Subscriptions

Subscription models for AI tools can also be frustratingly opaque. D-Studio users, for example, lose their credits if they don’t use them within the billing cycle, forcing them to rush and maximize content production. Meanwhile, HeyGen limits users to 30 fast video creations per month before enforcing a 24-hour wait for additional videos—a detail not disclosed upfront.

It’s reasonable to assume that reading subscription details would provide clarity, but in many cases, that’s not enough. Users may need to dive deep into Terms and Conditions to fully understand what they are paying for, something most buyers aren’t prepared for.

The Patience Test

Though AI tools can be more cost-effective, they demand patience. Users often need to retry prompts several times to get satisfactory results, leading to wasted time and credits. Being AI-skilled is not just about understanding how to prompt effectively, but also about tolerating the repetitiveness of correcting AI errors.

This reflects a broader trend: 45% of marketers still consider themselves beginners in AI marketing, despite increasing reliance on these tools. The learning curve remains steep.

A Marathon to Capture Users

The AI race is intensifying, with companies like OpenAI, Luma AI, and Runway pushing to onboard as many users as possible. Unfortunately, this rush to capture the market often comes at the expense of transparency and honesty. Tools like ChatGPT have been proven to give incorrect information nearly 30% of the time, even when explicitly asked for accuracy. These limitations can be easily forgotten when we use the tool every day, but they can have immense negative effects if not used carefully.

AI-driven tools promise efficiency and cost savings, but these benefits come with hidden challenges. For marketing freelancers and businesses, it’s essential to understand these limitations. Our vetted collective at Metodas provides the expertise needed to navigate these pitfalls, ensuring quality and transparency that AI alone cannot guarantee.

Skip the tedious and costly learning curve

Ready to harness the power of AI without the hassle? At Metodas, we can help you skip the learning curve and seamlessly implement these tools. With over two years of hands-on experience, our skilled professionals are here to guide you every step of the way. Contact us today for a quote with no engagements.