AI in Business: How Is AI Changing the World?

One thing we know: AI isn’t going anywhere. This clarity has made room for asking more useful questions: How do we use AI effectively within our workplaces? What does it look like with the tools we currently have today and our current business goals?

Key takeaways 

• AI is transforming how businesses work, but it delivers the most value when paired with human oversight.
• Organizations succeed with AI when they treat it as a co-writer and decision-support tool, not a replacement for people.
• Content governance is essential to prevent misinformation, compliance risks, and brand inconsistency at scale.
• Platforms like Markup AI enable teams to use AI productively while maintaining clarity, consistency, and control.

Is AI still on track to take over the world?

At the start of the artificial intelligence (AI) boom, humanity both celebrated and feared what might happen with rapidly expanding technologies. Goldman Sachs even predicted that 300 million jobs would be lost or degraded due to AI. It’s a hot and controversial question; can artificial intelligence take over the world? 

Fast forward to now and we’re seeing that these attitudes are still reflected in the data. But the data shows conflicted feelings towards AI. For example, 30% of workers worldwide fear that AI might replace their jobs within the next three years. And yet 81% of office workers report that AI improves their overall work performance. It seems like we’re loving what it can do now, but we’re still nervous about where this technology will head in the future. 

How do you effectively use AI in business?

PwC’s Trust Survey asked 500 executives about the risks they prioritize in their company. The results suggested that many business leaders don’t fully grasp the challenges posed by generative AI, such as offensive or misleading content, deep fakes, inaccurate information, exposure of stakeholders’ identity, and illegal reproduction of copyrighted material.

There’s one thing all these risks have in common; and it’s that they manifest themselves in content supply chains where there isn’t content governance. First and foremost, using AI effectively means balancing the innovation it brings with internal regulation to keep things transparent and compliant with your brand standards and industry regulations. 

So let’s explore the ways in which you can strategically add AI into your enterprise content supply chain. From boosting writer productivity to keeping LLM-generated content in line with your content standards – we’ll firstly look at all the ways you can use AI as a collaborative co-writer to boost the quality of your work, without introducing communication risks. 

Use AI as a co-writing companion 

Research suggests that collaborating with AI in content marketing leads to a 68% higher ROI. But AI still requires human help. By incorporating human judgment and expertise, you maintain your agency and control over AI output. Don’t be tempted to delegate everything to AI! 

Why? Because AI generates answers that can be plausible and satisfying — but incorrect. If quizzed as to why it gave that output, AI also justifies the wrong answer, which makes it tricky to spot these erroneous generated concepts. Provide critical oversight with your own critical thinking skills and keep you from being overly compliant to a tool you don’t yet fully understand, until you do. 

Instead, use AI as a co-writer that you collaborate with, with you as the expert in your field. The goal is to leverage the strengths of both human creativity and AI’s more analytic capabilities. Here are some suggestions for what that might look like in your content workflows:

Markup AI: Balancing creativity with governance

Markup AI can be used as a co-writing companion for writers by providing real-time writing assistance, generating ideas, enhancing creativity, and improving efficiency. Better yet? This is done directly within the authoring environments that you prefer working in through API-first integrations. All while safeguarding your content against communication risks with AI guardrails for your content standards. 

For leadership teams, Markup AI turns AI adoption from a risk into a repeatable, governed capability. It gives organizations a way to scale AI-assisted content creation without sacrificing brand voice, regulatory compliance, or editorial control — even across distributed teams and high-volume workflows.

At its core, Markup AI operationalizes your content guidelines so they’re enforced automatically, not manually reviewed after the fact. Both human- and AI-generated content is checked against the same standards, ensuring every output meets the bar you’ve set. The result is faster production, fewer corrections, and content your teams can confidently stand behind.

Curious to learn more? Let’s talk