When it comes to unsuccessful AI implementation there tend to be 4 main pitfalls to account for:

• Tool obsession: Focusing on making specific AI tools fits rather than allowing your business’s needs to determine the tools you choose.
• Scope creep: Trying to transform too many things – or everything – at once.
• Training gap: Not investing enough in education and support to make sure your entire team is along for the journey.
• Measurement failure: Not selecting or tracking the right metrics, leaving yourself with no way to tell whether your AI initiative is paying off.

As a practical example of falling into these pitfalls, we have the Apple’s Siri spying lawsuit. As an example of the payoff for avoiding these pitfalls, we have viral AI model DeepSeek.

We’ll start with Apple. The Cupertino company recently settled a lawsuit about alleged spying by its Siri voice assistant. Regardless of the facts, this fed into a broader narrative of iPhone surveillance. Naturally, since Apple has worked hard to cultivate an image of ‘the safe, reliable AI provider,’ this espionage narrative is less than ideal. It just goes to show how fragile and delicate a process of digital transformation is, regardless of scale.

Indeed, any digital transformation, big or small, is not to be taken lightly. Every step needs attentive involvement, deep technological knowledge, and of course, experience. When you don’t have a clear start and end point, you can all too easily go from an end-to-end solution to an end-to-endless problem.

That’s why at Hypersolid we always focus on creating a clear picture of our client’s business needs, desires and current situation when helping them transform. The right partner can save you from falling prey to tool obsession and scope creep the way Apple did. In fact, DeepSeek did just that,

By effectively navigating limitations and setting clear, attainable targets with realistic timelines, David can beat Goliath. It’s not about the size of your budget or infrastructure after all, it’s how you use them.

The team behind DeepSeek, didn’t have an astronomical budget or multiple server farms at their disposal. But they did have a modest and attainable mission briefing that they focused on and stuck to. Lo and behold, it seems to have turned out pretty well for them.

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