Oracleが2.1万人を切った。で、あなたの会社はどうする？

Oracle has announced a reduction of 21,000 employees. The giant company, with a revenue of approximately 7.5 trillion yen, is cutting about 12% of its workforce all at once. The reason is simple: AI has reached a point where it can replace jobs.

This is not just a story specific to Oracle. Microsoft, Google, and Meta are showing similar trends. Since 2024, over 100,000 employees from major U.S. tech companies have been laid off. The common theme is a structure of “increasing investment in AI while reducing personnel.”

The disappearance of white-collar jobs—this is no longer a “prediction” but a “fact.”

So, I want to ask: Is this tectonic shift a threat or an opportunity for local small businesses?

To conclude: It’s an opportunity. Moreover, it’s a structural opportunity.

ソフトウェアエンジニアの「アイデンティティ危機」が示すもの

Currently, there is talk of an “identity crisis” among software engineers in the U.S. Coding assistance AI tools like GitHub Copilot, Cursor, and Claude Code are rapidly evolving, leading to a dramatic drop in the value of the act of “writing code” itself.

Silicon Valley engineers, who once routinely earned over 20 million yen annually, are beginning to acknowledge that “half of their jobs can be replaced by AI.” In fact, a survey has shown that the introduction of AI coding tools has increased engineer productivity by 55%. Conversely, this means that the number of people needed to achieve the same results has decreased by about 40%.

This is not just about the “skill of writing code.” It’s about the collapse of costs for all routine knowledge work.

• Report writing: If AI drafts it, human work time is reduced to 1/5.
• Data analysis: You can aggregate data in natural language without needing to write SQL.
• Contract review: AI can extract key points in minutes.
• Customer support: 80% of FAQs are handled by chatbots.

Many jobs that were once deemed valuable due to specialized knowledge can now be processed by AI at nearly zero marginal cost.

So, what will increase in value?

コストが下がった先に起きること——「人間にしかできない仕事」の価格が急騰する

There is a law in the history of technology. When a certain cost dramatically decreases, the relative value of something “that does not decrease” next to it skyrockets.

When printing costs went down, the value of “what to write” increased. When communication costs decreased, the value of “who you are connected to” increased.

Now, the costs of knowledge work are decreasing. So, what will increase in value?

“Trust,” “judgment,” and “relationships.”

To be specific:

• The trust built over 20 years with the president of a client company.
• Implicit knowledge like “this site becomes unstable on rainy days.”
• The human touch that allows for leniency in complaint handling because “that representative is handling it.”
• Work connections that arise from face-to-face interactions at local festivals.

These are things that AI cannot do. And, they are also things that large companies cannot do.

When Oracle cut 21,000 jobs, what was also cut was the “relationship with customers.” Large companies implement AI for efficiency, but in doing so, they also discard the “human-centric jobs” that AI cannot handle. This creates a gap.

Only small businesses can fill that gap.

中小企業が今すぐ取るべき3つのアクション

Let’s stop with the abstract discussions. Let’s answer the question: “So, what should we do?”

1. AIで「作業」を消し、「対話」に時間を全振りする

The strength of small businesses lies in their proximity to customers. However, in reality, they are bogged down by tasks like creating estimates, processing invoices, and entering daily reports, leaving little time for crucial customer interactions.

This is where AI can make a difference.

For example, in creating estimates. By having AI analyze past project data, you can simply input the conditions and get a draft. What used to take 30 minutes per estimate can now be done in 5 minutes. If you create 50 estimates a month, that’s over 20 hours saved per month. Imagine dedicating that 20 hours to customer visits.

In fact, a construction company in a rural area semi-automated its estimate creation with AI, resulting in an increase in customer visits from 8 times a month to 15 times a month, boosting their order rate by 1.4 times. The cost incurred for AI was about 30,000 yen per month. Hiring one person would cost over 300,000 yen per month. For one-tenth of the cost, you can create an environment that allows you to focus on jobs that only humans can do.

2. 大企業から「こぼれ落ちた顧客」を拾う

When large companies like Oracle advance AI implementation, something inevitable happens. “Small clients that used to receive attentive service are left unattended.”

Large companies are replacing customer support with chatbots, and when you call, you can’t reach a human. Even if the representative changes, there’s no handover. Companies burdened with such frustrations are on the rise.

This creates an opportunity for small businesses.

“We don’t change representatives,” “We respond with just one phone call,” “We understand your circumstances and make proposals”—with just these statements, it has become an era where small businesses can steal customers from large corporations.

Especially in B2B service industries, professional services, IT maintenance, and equipment maintenance, the value of this “human interaction premium” is skyrocketing.

3. 大企業から流出した人材を「仕組み」で受け止める

With 21,000 people from Oracle entering the job market, restructuring continues at mega banks and major manufacturers in Japan. Talented individuals are more mobile than ever before.

However, small businesses cannot just say, “Please come to us” and expect to attract them. The biggest reason that former large company employees avoid small businesses is that they are seen as “person-dependent and lacking systems.”

That’s why using AI to advance systematization can also become a recruitment strategy.

• Organize operational manuals with AI so that anyone can perform tasks with a certain level of quality.
• Build a knowledge base to eliminate the need for “I can only find out by asking that person.”
• Automatically summarize daily reports and meeting minutes with AI to reduce the cost of information sharing.

These can be achieved with tools costing just a few tens of thousands of yen per month. There’s no need to spend 3 million yen hiring consultants.

A small business with systems will appear to former large company employees as a “small but rational company.” This will enhance recruitment competitiveness.

「このままでいいのか」と問い続ける会社だけが残る

Oracle’s reduction of 21,000 employees is not a distant issue.

Many small businesses in Japan are still shelving AI as something they “don’t quite understand.” However, the future where large companies reduce personnel, lower costs, and enhance price competitiveness through AI has already begun.

At the same time, a reverse structure is emerging where the “human jobs” discarded by large companies due to AI become weapons for small businesses.

What’s important is that it’s neither about fearing AI as a “threat” nor expecting it as a “magic solution.”

“With the reduction in operational costs due to AI, what will we spend our time on?”

Only companies that can answer this question will survive the next decade.

It’s okay to start small. Whether it’s automating estimates or summarizing meeting minutes, starting with a tool costing 30,000 yen a month is fine. What matters is to “just start.”

Next to the jobs that will disappear due to AI, there is a gap that only small businesses can fill. Companies that have noticed this gap are beginning to take action.