AI may be everywhere, but not every company will turn it into a real advantage.
Picture this: two companies announce they are using artificial intelligence (AI).
One becomes a better business.
The other just gets a better story for investors.
Same technology.
Very different outcomes.
That is why investors should be careful when they hear a company talk about AI.
AI may be a powerful tool.
But using AI does not automatically make a company a better business.
As investors, we have seen this pattern before.
Every major technology wave creates excitement.
But excitement alone does not make a company a good investment.
The real question is not whether a company uses AI.
The better question is this: can AI make this business harder to compete with?
AI is becoming easier to access
Not long ago, AI sounded like something only the largest technology companies could afford to build.
Today, many AI tools are widely available.
Companies can use AI to answer customer queries, analyse data, summarise documents, detect patterns, and improve workflows.
That sounds impressive.
But if every company can access the same tools, then AI by itself may not create a lasting competitive advantage.
If everyone has access to the same hammer, the advantage does not come from owning the hammer.
It comes from knowing what to build with it.
The real edge is context
AI works best when it has context.
A company can feed AI with customer records, transaction history, internal processes, and years of business data.
But the best businesses are not built on data alone.
They are also built on experience, judgement, relationships, culture, and accumulated know-how.
A seasoned banker may understand credit risk in a way that goes beyond a formula.
A strong REIT manager may understand when to buy, sell, refurbish, or redevelop an asset.
These are not always nuances that can be copied easily.
AI becomes more valuable when it is combined with a business that already has strong data, good processes, capable people, and deep customer understanding.
AI is not automatically a moat
A moat is a sustainable competitive advantage.
It is what allows a company to defend its profits against competitors over time.
Some moats come from strong brands. Others come from scale, network effects, switching costs, intellectual property, or regulatory advantages.
AI may strengthen these moats.
Take Microsoft (NASDAQ: MSFT), for example.
AI is useful because Microsoft can embed it into products that many businesses already use, such as Office, Teams, GitHub, and Azure.
If AI makes these tools more useful, it can strengthen Microsoft’s relationship with customers and potentially increase switching costs.
Alphabet (NASDAQ: GOOGL) offers another example.
The search giant’s advantage does not come from AI alone.
It comes from combining AI across search, advertising, YouTube, Android, and Google Cloud.
If AI improves how Alphabet serves users and advertisers, it may reinforce an already powerful ecosystem.
Closer to home, DBS Group (SGX: D05) is a useful Singapore example.
The bank’s use of AI is more meaningful because it sits on top of customer data, risk management systems, banking relationships, and years of digital investment.
In each case, AI is not the moat by itself.
It is a tool that may strengthen an existing advantage.
A weak business does not become strong just because it uses AI
This is the mistake investors should avoid.
A strong company using AI well may become even stronger.
A weak company using AI badly may simply become a weak company with a shinier story.
If a company has poor data, messy systems, weak execution, and no clear strategy, AI may not solve its problems.
This is why investors should be cautious when companies describe themselves as “AI-driven” or “AI-powered”.
Those words may sound exciting, but they do not tell us whether the business is actually improving.
The important question is whether AI can create measurable benefits.
What investors should ask
Instead of asking:
“Is this company using AI?”
We can ask:
“Does AI actually make this business better?”
Here are five questions to consider.
First, does the company have useful data that competitors cannot easily replicate?
Second, can AI help the business serve customers better?
Third, can AI reduce costs, improve productivity, or improve margins?
Fourth, does AI strengthen an existing competitive advantage?
Fifth, is management using AI in a practical and disciplined way, or simply using it as a marketing phrase?
Over time, a successful AI strategy should help improve revenue growth, margins, cash flow, customer retention, or returns on capital.
Get Smart: AI is already here, it’s not evenly distributed
AI is likely to change how many companies operate.
But investors should not be impressed by the word “AI” alone.
The strongest companies may not be the ones making the loudest claims about AI.
They may be the ones quietly using it to do what they already do well, only better.
The next time you see a company talk about AI, pause and ask:
Is this making the business stronger.. or just making the story sound better?
That one question may help investors avoid a lot of noise.
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Disclosure: Joanna Sng owns shares of all the companies mentioned.
