05/13 2026
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Author | Jiang Xu Explore More Financial Insights | BT Finance Data Pass The main text comprises 2228 words and is estimated to take 9 minutes to read.
Have you ever noticed that someone in a particular role at your company seems to have vanished without a trace?
It's not due to a publicized layoff or a team discussion. One day, you simply realize that recruitment for that department has ceased, and the position remains unfilled.
This isn't just your imagination. According to the latest data from Gartner consulting, by 2026, 40% of enterprise applications will incorporate AI agents, up from less than 5% in 2025. That's an astonishing eightfold increase in just one year.
Behind this surge, how many white-collar jobs are quietly fading away?
1
Let's Begin with the Roles You Know Best

Basic Finance Roles? Vanished.
Research by Goldman Sachs reveals that the AI replacement rate for basic accounting tasks in the finance sector has surpassed 85%. Tasks such as voucher entry, invoice review, tax filing, and payroll accounting, which once required a small team, can now be fully automated by a financial system without human intervention. Following the implementation of such systems, numerous domestic manufacturing and retail companies have witnessed an 80% reduction in basic financial labor costs.
Those who remain are engaged in financial analysis and strategic planning. Basic accounting roles are not just shrinking; they're disappearing.
Telemarketing Roles? Vanished.
Most of the sales calls you receive today are made by AI. Leading domestic insurance and e-commerce firms have laid off over 90% of their basic telemarketing teams, retaining only a select few to handle high-intent clients and complex complaints. The comprehensive cost of AI voice robots is merely 1% of that of human agents. They operate 24/7 and boast conversion rates 15% higher than those of rookie salespeople.
Data Entry Roles? Vanished.
Companies once employed dedicated data entry staff to manually input information from invoices and contracts into systems. Now, OCR technology scans the documents, large models automatically organize the information, and RPA robots complete the subsequent processes—five times faster than humans, with an accuracy rate of 99.9%. Whether in government service halls, corporate back offices, or financial institutions, dedicated data entry roles have largely disappeared.
Bank Teller Roles? Vanished.
Smart counters and mobile banking now handle over 95% of non-cash transactions. Domestic bank branches have been shrinking for years, with hiring for tellers and lobby assistants declining by more than 40% for five consecutive years.
2
It's Not Just "Simple and Repetitive" Jobs That Are Disappearing

Many people intuitively believe that AI only replaces simple, repetitive tasks, while their own work involves "creativity" and "judgment," thus they're safe.
This might have been true two years ago. Not anymore.
According to Robot World's evaluation, among the top 20 roles with the highest AI replacement rates in 2026 are legal document assistants (92% replacement rate), junior programmers (87%), basic market analysts (85%), and news editors (81%).
These are not traditionally "low-skill" roles.
Take basic market analysts, for example. Their main tasks used to be collecting competitor data, writing industry briefs, summarizing interview notes, and creating PowerPoint presentations. Now, an AI agent connected to the internet can complete all these tasks within two hours—and the quality may not be inferior to that of a fresh graduate analyst.
The difference lies in the "level of judgment."
AI can handle all data-related tasks, but it cannot yet determine whether "this insight has commercial value," "this conclusion can persuade the boss," or "this direction is worth betting on." So, the analysts who are eliminated are those stuck at the "data processing" level; those who survive are the ones truly making judgments.
The question is: Do you know which level you're at?
3
What Does 40% Mean?

Gartner predicts that by the end of 2026, 40% of enterprise applications will have task-based AI agents embedded.
What does this 40% signify? It means AI is no longer just a "tool" but has officially become a "colleague" within enterprises—one that doesn't require a salary, holidays, emotional stability, or training periods.
According to iResearch data, over 78% of medium-to-large enterprises have integrated AI agents into key business processes, covering customer service, operational analysis, decision support, and other fields. This isn't a pilot program; it's the mainstream.
An even more profound impact is the change in recruitment structures. An HR manager at a manufacturing company told BT Finance that compared to 2025, their 2026 campus recruitment plan has reduced basic roles by 60%, but the newly created position of "AI Operator"—which didn't exist a year ago—now has 30 openings.
Here's the flip side: AI eliminates old roles while creating new ones. But the skills required for the new roles are entirely different from those of the eliminated ones.
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What Should You Do Now?

Here's a framework to help you quickly assess the AI replacement risk of your current job.
Level 1: Is your work focused on information processing or judgment/decision-making? Information processing—collecting, organizing, categorizing, reporting—high risk. Judgment/decision-making—evaluating, prioritizing, negotiating, building relationships—low risk.
Level 2: Is your work based on standardized processes or non-standardized judgment? Standardized processes—application approvals, data entry, report templates—high risk. Non-standardized judgment—client relationships, strategic choices, creative ideation—low risk.
Level 3: Can your work outcomes be quantified numerically? Clearly quantifiable—click-through rates, conversion rates, accuracy rates—high risk. Not easily quantifiable—organizational trust, team atmosphere, strategic direction—low risk.
Most white-collar jobs are a mix of these three levels. The key is: Where do you spend most of your time?
If 70% of your day is spent on "processing information, filling out forms, writing template reports," you need to seriously consider: 70% of your job is being taken over by AI.
5
Conclusion

In the year AI has been massively integrated into enterprises, there hasn't been a dramatic wave of layoffs—just a silent, structural shift.
What's disappearing isn't job opportunities but specific types of job opportunities.
What's being created isn't a new crisis but a new divide—in the face of AI, the value of judgment is being revalued at an unprecedented pace.
From 5% to 40% in just one year. Next year, it's your turn to redefine your value.
This article is for information sharing and industry analysis only and does not constitute any investment advice, investment analysis opinions, or trading solicitations. The market carries risks, and investments should be made with caution. Anyone making investment decisions based on this article bears the risks and gains or losses themselves; the author and publishing platform assume no legal responsibility.
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