Text: Yang Yifan, proofreader: Liu Baoqing.
At this time of year, our lives are surrounded by year-end summaries of various apps.
* The software records the songs you listened to last year, the sports software records the sweat you have shed, and the taxi software records your footprint in the year.
After being summarized by various software, we still have to face the year-end summary of our work after all.
The year-end summary at work is like a re-examination of the year, which requires a whole block of time to conceive and imagine, because of the painstaking effort, which naturally leads to many people being reluctant to write.
On the other hand, the year-end summary is important enough, and the workers are worried that they have written too little and have omissions, and on the other hand, they are worried that the outlook is too optimistic and they will not be able to complete it in the coming year.
After hesitation, everyone began to ask for help.
2023 is known as the year of the explosion of generative AI, so at the beginning of 2024, more and more people are trying to use AI to write year-end summaries.
Workers are trying to get AI to work for themselves.
There is no public data on the Internet showing how many people are using AI to make year-end summaries, but it can be seen that the keyword search volume of the four words "year-end summary" is skyrocketing.
Figure: WeChat Index.
How to write a beautiful year-end summary has become a common problem in front of people in the workplace, and seeing that the deadline is getting closer and closer, humans are beginning to turn to AI for help.
Xiaowen, who does administrative work, relied on AI to complete his work summary half an hour before the company's deadline: "The daily work itself is very trivial, the basic work counts the office supplies every day, organizes everyone to fill in the benefits, and works hard for a year, but it is difficult to write new patterns at the end of the year, so don't work hard for those who can hand it over to AI." ”
However, the premise of using AI to write a year-end summary is to understand your work well enough, enter your needs, and let AI play the corresponding role, for example, I am a company administrator, please use my tone to help me complete the work summary of the past year. ”
Figure provided by the interviewee.
On social networking, many people try to "outsource" the year-end summary to AI, and use domestic large models to help themselves polish the year-end summary.
On the other hand, the content of the year-end summary on the Internet is also quietly changing, and some bloggers who originally taught people to write, in order to comply with the tide of AI, have shifted the content to the use of AI tools for teaching.
Figure bilibili
This strong demand also unexpectedly boosted the AI** business, with sales reaching more than 6,000 orders in a shopping platform store.
Fig**. What kind of person is suitable for writing a year-end summary with AI?
We found that AI is really surprisingly efficient at generating year-end summaries, as long as the prompts are accurate enough, in about 5 seconds, it can generate a decent summary.
On the Internet, some people see AI as a kind of text polishing, and the work is indeed done by the person, but there is a lack of some way to report upwards on a daily basis.
Figure: Tencent Mixed Yuan Assistant.
There are also people who tend to use AI as an auxiliary tool for writing year-end summaries, and they don't know how to highlight the value of their work, so they can let AI refine it.
On the other hand, AI has a significant effect in the value sublimation part, and when it comes to personal growth, ability improvement, etc., it is easy to sprinkle thousands of words, and the text is very standardized, and even the use of punctuation marks cannot be found problematic.
The so-called art industry has specialization, AI also has its own limitations, and the summary text it generates is often broad, and this year-end summary is often applicable all over the world.
There is still a gap in AI for specific thinking about work content and personalized project content description.
Some netizens said that the AI summary has the meaning of opportunism, talking in generalities, it seems to be fine, but if you look closely, you will find that you don't say anything.
Figure Little Red Book.
From the perspective of job type, AI seems to be naturally suitable for complex and repetitive work reports, such as weekly reports for sales positions or daily records for administrative positions.
But AI isn't a panacea when it comes to writing a year-end summary, because it's ultimately based on your own efforts.
Assuming you know what you did last year, you can use AI to polish and add points, but if you don't do anything, AI won't help you.
For those who didn't do anything last year, the existence of AI can only make your otherwise failing summary structurally close to the norm.
But for others with hard work, AI may be able to help you clear your mind, review the lessons learned from the past year, and set new goals.
Although the jury is still out on how AI will work for you, AI is really starting to do year-end summaries instead of humans.
Figure ic photo
AI can indeed improve collaboration efficiency, allowing people to complete tedious data processing and text writing faster.
But let's not forget that the original intention of AIGC was to free people from basic work and devote their remaining energy to more complex thinking and creation.
Duty Editor: Kang Xixi, Li Jia and Minus, Gu Li.