Chances are, you’re already using AI in some part of your business. Whether it’s helping you write content, manage marketing campaigns or make better sense of customer data, AI tools are becoming part of everyday working life.

A 2025 study by McKinsey found that 88% of respondents said their organisations were regularly using artificial intelligence in at least one business function. But while AI can save time and open up new opportunities, it’s important to think about how you’re using it. According to research by IBM, 62% of executives reported tension between business goals and ethical values when using AI.

From protecting customer data to checking the accuracy of AI-generated content, there are some important considerations to keep in mind.

Current applications of AI tools: marketing

AI is changing the way we approach digital marketing, bringing new opportunities to connect with customers and get more from your campaigns. From understanding your audience to creating content, these tools can help your team save time and work more efficiently, while delivering more personalised experiences.

The tech is also changing how people search for information online. According to Ofcom’s Online Nation 2025 report, around 30% of Google searches feature AI Overviews, while 53% of UK adults say they often encounter AI-generated summaries in search results. This is just another reason for businesses to think carefully about how they create and share content online.

Personalisation and intelligent recommendations

Getting to know your customers is at the heart of effective marketing. AI-powered platforms like HubSpot and Salesforce Einstein can help you understand customer behaviour, identify different audience groups and deliver more relevant campaigns.

Personalisation has become essential for digital marketing success, thanks to AI-driven recommendation engines. For example, Spotify uses AI to analyse listeners’ music preferences and behaviours in real time, then suggests custom playlists and new tracks tailored to each user’s unique taste.

AI-driven advertising optimisation

Managing digital advertising campaigns takes time, particularly when you’re trying to reach the right people while making the most of your budget. Tools like Google Ads’ Smart Bidding and Meta Advantage+ can take some of the work out of campaign optimisation.

These tools use algorithms to analyse campaign data, adjust bids and support audience targeting, depending on the platform and campaign settings.

This can help to improve click-through rates (CTRs) and conversions.

AI in content creation

Keeping up with the demand for fresh, relevant content isn’t always easy. AI tools can lend a hand with everything from generating ideas to drafting and refining marketing copy. Tools like Jasper and Canva’s Magic Write can help marketers create copy for blogs and other marketing materials.

AI is also being used to schedule and optimise email campaigns. Platforms like Mailchimp use machine learning to help marketers identify suitable send times and personalise messages for different audiences.

Brand monitoring and sentiment analysis

Platforms such as Brandwatch and Sprout Social use AI to monitor brand mentions across social media and other online channels, helping marketers understand audience sentiment and spot emerging trends or issues.

As these tools continue to develop, they will create further opportunities for businesses to improve their marketing processes and customer experiences.

Read our guide to marketing for AI – tools and trends redefining success.

Beyond marketing: AI’s impact across the business

Of course, marketing isn’t the only area where AI can make a difference. Across the business, teams are finding ways to use these tools to save time and make better-informed decisions.

  • In customer service, AI-powered chatbots and virtual assistants can handle routine enquiries and provide round-the-clock support, helping customer service teams manage workloads more efficiently.
  • In finance, AI is utilised to automate routine processes, such as invoice management and fraud detection, as well as to provide advanced analytics for forecasting and informed investment decisions.
  • Supply chain and logistics functions increasingly rely on AI for demand forecasting, inventory optimisation and route planning, helping businesses reduce costs and improve delivery times.
  • In human resources, AI-driven platforms can support recruitment by screening applications, scheduling interviews and supporting teams managing candidate information.
  • Manufacturers are adopting AI for predictive maintenance, quality control and process automation, helping to reduce downtime and improve productivity.

7 common issues businesses face when using AI irresponsibly

AI has plenty to offer, but it’s important to understand where things can go wrong. From protecting customer data to checking the accuracy of AI-generated content, there are some risks every business should be aware of. Here are seven common issues to look out for – by recognising these common pitfalls you could benefit from AI while maintaining trust and effectiveness in your marketing strategies.

1. Data privacy breaches

When customer or business data is entered into AI tools without appropriate safeguards, sensitive information may be exposed or processed in ways that breach privacy requirements. Before sharing information with an AI platform, it’s important to understand how the provider handles your data and what security measures are in place.

2. Algorithmic bias

AI tools trained on biased or incomplete data can produce inaccurate or skewed marketing insights, leading to misguided targeting or messaging. This can result in campaigns that are less effective, irrelevant, or even misleading to specific audiences. Reviewing data quality, testing outputs and checking for unfair or misleading results can help businesses identify and address potential bias.

3. Lack of transparency

When it’s unclear how AI makes marketing decisions, businesses can struggle to explain their actions to customers or regulators. This can damage trust and make it difficult to demonstrate compliance with rules such as data privacy laws and advertising standards, or your own company policies.

Keeping records of how AI tools are used, reviewing their outputs and understanding their limitations can help your business maintain accountability and support regulatory compliance.

4. Content quality issues

AI-generated content, if left unmonitored, can sometimes be off-brand, irrelevant, or even inappropriate. Poor-quality automated content can harm a brand’s image and reduce customer engagement. Human review is crucial to ensure that all content aligns with the brand’s values and expectations.

Research also suggests that people value human involvement. The Reuters Institute’s Digital News Report 2025 found that audiences remain sceptical about AI-generated news and are more comfortable when humans are involved – a useful reminder of why human oversight matters.

5. Ignoring consent and compliance

Failure to obtain proper consent from users or comply with regulations, such as GDPR, can lead to legal challenges and substantial fines. Businesses must prioritise transparency and compliance in all AI-driven activities.

6. Lack of human oversight

Without ongoing human involvement, AI tools can perpetuate errors, stray from marketing objectives, or adopt a tone that doesn’t reflect the brand. Regular monitoring and intervention could help to ensure that AI remains aligned with business goals and ethical standards.

7. Unrealistic expectations

Expecting AI to resolve every challenge can lead to disappointment and wasted resources. Setting realistic goals and understanding what AI can and can’t do will help you make better decisions about where to use it.

Using AI tools responsibly: best practices

The good news is that using AI responsibly doesn’t have to be complicated. A few sensible precautions can help you make the most of these tools while protecting your customers, your business and your reputation. Here are five practical ways to get started.

Prioritise Data Privacy and Security – Always safeguard your customers’ personal information and adhere to privacy regulations, such as GDPR. For example, if you use AI to personalise email campaigns, make sure you are only targeting users who have given clear consent to receive marketing messages.

Maintain Transparency and Explainability – Before introducing a new AI tool, take time to understand how it works, what information it uses and where its limitations lie. Where possible, choose tools that help you understand how recommendations are made.

If your AI recommends targeting a new audience segment, make sure you can clearly explain the reasoning behind it to your team or clients.

Combine AI with Human Oversight – Even the best AI can produce content that’s off-brand or awkward. For instance, if you use AI to generate social media posts, review the content before publishing to ensure it aligns with your brand’s voice and values.

It’s worth checking any facts, figures or claims rather than assuming AI has got everything right. When creating website content, it’s also worth keeping Google’s guidance on people-first content in mind. Google encourages original information, first-hand expertise and content that genuinely helps readers. AI can support the writing process, but your team’s knowledge and experience remain important.

Ensure High-Quality, Diverse Data – AI is only as useful as the information it works with. Make sure the data you provide is accurate, relevant and up to date, and take time to check the results for errors or bias.

For example, an AI tool using outdated customer information could recommend targeting the wrong audience or produce misleading campaign insights.

Set Realistic Expectations – AI can be a valuable addition to your marketing toolkit, but it won’t solve every challenge. Rather than expecting immediate results, start by identifying the tasks where AI could genuinely save time or provide useful insights.

Use AI to assist with routine tasks and support your team’s creative and strategic decisions, while keeping people involved in reviewing the results.

Discover more practical advice in our guide to the best AI tools for SEO.

Maximise the benefits of AI

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