AI is now embedded in everyday business.
It writes first drafts, summarises meetings, analyses data, responds to customers, generates images, researches ideas and automates tasks that once took hours.
For a time-poor business owner, that’s enormously useful. But somewhere between “AI could help us work smarter” and “there’s an AI tool for everything”, a new problem has emerged.
Businesses are starting to use AI simply because they can. The question is no longer whether your business should be using AI.
A better question is: Are you using AI intentionally, or are you reacting to the technology around you?
Because those are two very different approaches.
Reactive AI starts with the tool
You’ve probably seen this happen.
Someone discovers a new AI platform. There’s a demo. Everyone gets excited about what it can do.
Suddenly the business needs it. A subscription is purchased, the team starts experimenting and only afterwards does someone ask: What exactly are we trying to achieve with this?
That’s reactive AI adoption. The same thing happens in marketing.
Businesses start producing more blogs because AI makes them faster to write. They generate more social posts because they can. They automate emails because automation is available.
Before long, they’re creating significantly more marketing without necessarily creating better marketing. And audiences are noticing.
The phrase “AI slop” has become shorthand for the flood of generic, low-value AI-generated material appearing online. In 2026, frustration with this kind of content has become part of a broader backlash against poorly considered AI adoption.
The problem isn’t AI itself. It’s AI without enough human judgement behind it.
Intentional AI starts with the problem
At Oracle Tree, we’re not anti-AI. We use AI, experiment with it and help businesses understand where it can genuinely improve their marketing and operations.
But our philosophy hasn’t changed: Strategy comes first.
Intentional AI adoption starts by asking: What problem are we actually trying to solve?
Maybe your team is spending hours manually organising information that could be processed much faster.
Perhaps your sales team is taking too long to respond to enquiries.
Maybe you’re sitting on useful customer data but don’t have the capacity to analyse it.
Or your marketing team needs help turning one strong idea into several useful formats.
Those are business problems. Once you’ve identified the problem, you can decide whether AI is the right tool to help solve it.
That’s very different from finding an impressive AI tool and then looking for somewhere to use it.
More content isn’t necessarily better content
Content creation is one of the clearest examples. Generative AI has dramatically reduced the effort required to produce words.
But making words cheaper doesn’t automatically make them more valuable.
Google’s own guidance reflects this. It says generative AI can be useful for research and structuring original content, while generating large quantities of pages without adding value for users may breach its policies on scaled content abuse.
That distinction matters. AI might help your team research a topic, develop an outline, interrogate an idea or turn existing expertise into different formats.
But your expertise still needs to be there.
Your experience.
Your opinions.
Your customer knowledge.
Your examples.
Your brand voice.
Your judgement.
Otherwise, businesses risk filling the internet with increasingly similar content generated from increasingly similar prompts.
Efficiency is useful. Efficiency without value is just faster mediocrity.
Trust is becoming part of the AI conversation
There’s another shift happening that businesses need to pay attention to: transparency.
In July 2026, Google introduced additional transparency features for advertising, including information showing when generative AI was used to create or alter an ad.
Australia’s National AI Centre also recommends businesses consider disclosing AI involvement depending on how extensively AI contributed and how much the content could affect someone’s decisions, rights, safety or trust.
We’re likely to see this conversation continue. Consumers don’t necessarily expect businesses to avoid AI. But they do expect businesses to take responsibility for what they publish.
That means fact-checking AI-generated information.
Protecting customer data.
Reviewing outputs for bias or errors.
Making sure content actually sounds like your brand.
And keeping humans accountable for the final decision.
Oracle Tree’s approach has always been to treat AI as an assistant rather than the person in charge. Think of it as a very capable intern: fast, knowledgeable and useful, but not someone you’d hand your entire marketing strategy to without supervision.
AI should support human expertise, not disguise the absence of it.
Five questions to ask before introducing another AI tool
Before adding another platform, automation or AI-generated process to your business, ask:
- What problem are we solving?
If you can’t clearly explain the business problem, you probably don’t need the tool yet. - Will this improve something customers actually value?
Faster isn’t always better. Automation shouldn’t make the customer experience feel colder, harder or less trustworthy. - Where does human judgement remain necessary?
Decide who checks the output, makes the final decision and remains accountable when AI gets something wrong. - What information are we giving the platform?
Consider privacy, security and the customer or business data being entered into AI systems. - What does success look like?
Time saved? Faster lead response? Better customer service? Lower costs? Stronger insights?
Define it. Otherwise, you’re measuring AI adoption rather than business improvement.
Is AI actually improving your marketing?
If your team has adopted AI tools but you’re not sure whether they’re strengthening your wider marketing ecosystem, it might be time to look at the strategy behind them.
At Oracle Tree, we help businesses connect technology, brand, marketing and customer experience to their next stage of growth.
Let’s make sure your tools are working for your strategy, not the other way around. Book a free strategy session today.
