Large Corporations Dive into AI, Customers Walk Away

Lloyds Bank is set to hire 300 AI specialists to develop agent AI—autonomous AI models that make decisions and take actions independently. While the investment amount has not been disclosed, a specialized team of this size would likely incur annual personnel costs in the billions of yen.

At first glance, one might think, “As expected from a major player, they are taking bold steps.”

However, another piece of data that emerged at the same time is concerning. A consumer survey in the U.S. revealed that the top three emotions customers feel towards AI customer support from large corporations are “exhaustion,” “disappointment,” and “anger.” A staggering 78% of customers express dissatisfaction with AI support.

As a result of investing heavily in AI, customers are angry.

Small business owners should take note of this structure. Instead of thinking, “Since large corporations are doing it, we should too,” they should consider, “Where are large corporations failing?”

Why Does AI Support from Large Corporations Anger Customers?

The reason is simple: “Cost reduction” has become the primary goal.

The main motivation for large corporations to implement AI chatbots is to cut down on personnel costs in call centers. In major U.S. banks and telecommunications companies, the average cost of human support per inquiry is said to be between $12 and $15. With AI chatbots, this can drop to $1 to $2. That’s a tenfold reduction. For companies that handle millions of inquiries annually, this difference translates to cost savings in the billions of yen.

From a management perspective, this seems rational. However, there is a pitfall.

The average time taken to resolve issues through AI chatbots is 30 minutes, while human operators can do it in 15 minutes. In other words, while the company’s costs have decreased, the customer’s cost (time) has doubled.

What’s more troublesome is when AI encounters a “problem it cannot solve.” Endless loops of standard responses, irrelevant suggestions, and being passed around. Ultimately, even when customers ask to be connected to an operator, that option is often deliberately hidden, as companies want to increase their AI response rates.

This is not an improvement in customer service. It is merely shifting the burden of cost reduction onto the customer.

Customers are not fools. They realize they are being treated as a “cost reduction target.” That’s why they get angry.

The Era Where Just Having ‘Humans Respond’ Becomes a Differentiator

Here lies an opportunity for small businesses.

While large corporations proclaim, “We will handle it with AI,” small businesses can simply say, “We will handle it with humans,” and that alone becomes a differentiator. What was once taken for granted just a few years ago is now a valuable asset.

This is not just a matter of perception; let’s look at the numbers.

A survey in the U.S. shows a clear difference in customer repeat rates between cases handled by human operators and those handled by AI. The repeat rate for human interactions is about 85%, while for AI interactions, it is around 60%. That’s a 25-point difference.

If we assume the annual LTV (Customer Lifetime Value) per customer is 100,000 yen, this 25-point difference translates to a revenue difference of 25,000 yen per customer. For 100 customers, that’s 2.5 million yen. For 1,000 customers, it’s 25 million yen.

Just by having “humans respond,” such a significant revenue difference can be generated.

Of course, human support comes with costs. The human response cost of $15 (about 2,200 yen) per inquiry is high compared to the $1 to $2 for AI. However, considering the difference in LTV generated from the repeat rate, it can be sufficiently recouped. In fact, it’s cheaper.

The Hybrid Strategy of ‘AI x Humans’ for Small Businesses

However, it’s important not to misunderstand: this is not a call for small businesses to avoid using AI.

On the contrary, small businesses should use AI, but in a different way.

Large corporations have placed AI at the “forefront of customer interactions.” They have entrusted the first point of contact to AI, which is the essence of their failure.

What small businesses should do is to place AI behind the scenes of customer interactions.

Here’s how:

• Automatic Classification and Summarization of Inquiries: AI can classify phone calls and emails from customers in real-time, providing the human responder with a summary such as, “This person is having trouble with ___. They have a history of purchasing ___.” This speeds up human response times.
• Automatic Generation of FAQs and Knowledge Bases: AI can automatically generate FAQs from past inquiry data, keeping internal response manuals up to date. This reduces dependency on specific individuals.
• Analysis of Customer Emotions: AI can analyze the tone of emails and chats, flagging customers who show high levels of dissatisfaction. This allows for prioritized responses.

These can be achieved with AI tools costing just a few tens of thousands of yen per month. A team of 300 AI specialists is not necessary.

The key point is that customers see “humans,” while AI supports humans behind the scenes.

Customers receive warm responses. Companies can achieve efficiency. Both sides benefit.

The Day When ‘Humans Answer the Phone’ Becomes the Ultimate Marketing

There’s another interesting perspective.

As large corporations advance their AI responses, the mere fact that “humans respond” becomes a brand value. This is a differentiation that local small businesses can achieve without any advertising costs.

In fact, in the U.S., small businesses are emerging that promote themselves with the slogan “No AI, Real Humans.” Ironically, as technology advances, being “human” is becoming a rare value.

What would this look like for local small businesses?

For example, a local construction company. While major house manufacturers handle initial inquiries with AI chatbots, when a customer calls, the president answers. “Oh, Mr. ___, how did it go with the leak after the last rain?” No AI can compete with that.

For instance, a local accounting firm. A business owner who has been passed around for 30 minutes by AI support for cloud accounting software calls the local accounting firm and gets a resolution in 3 minutes. “Shall we look at next month’s financials together?” They will return next time.

The value of this experience of “humans responding” increases as large corporations invest more in AI. Structurally, this creates a favorable trend for small businesses.

So, What Should Be Done?

To summarize:

1. Keep “humans at the forefront” of customer interactions.
Large corporations fail because they place AI at the first point of contact. Small businesses should do the opposite. Have a person answer the phone, respond to emails with a name. That alone can lead to victory.

2. Use AI “behind the scenes.”
Classifying inquiries, organizing internal knowledge, analyzing customer data. Tools costing just a few tens of thousands of yen are sufficient. A team of 300 AI specialists is not needed. You can start with a 50,000 yen tool and one person in charge.

3. Boldly declare, “We will handle it with humans.”
As large corporations push for AI, this is not a weakness but a strength. Write it on your website. Print it on flyers. “We will respond, not AI.”

Lloyds Bank’s hiring of 300 specialists is a strategy for large corporations. Small businesses do not need to compete on the same battlefield.

While large corporations pour billions into AI and anger customers, small businesses can streamline their backend with AI tools costing just a few tens of thousands of yen, while providing warm human responses on the front end. This asymmetric approach is the winning strategy for small businesses.

As technology evolves, the value of being “human” increases. Don’t miss this reversal in structure.