Zhang wen woo, zhang jun, journalist chen soo-ping
Recently, zhejiangFinanceZhejiang university of finance and economics officially published the culture and strategic plan for the mission of the university of zhejiang, which systematically articulates the mission of “innovator-based education for full personalities” and the strategic blueprint for “new finance”. The programme's emphasis on the cross-fertilization of the “fiscal x schematics” “fiscal + industry” and the “k+maq” character of middle-strength talent development is a proactive response to the strategic upgrading of financial talent in the ai era。
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I'm in the middle of a wave. Image generated by ai
Once upon a time, financial and economic professions, including accounting, finance, management, economics, finance, etc., were considered by a large number of high-level candidates to be “money-rich”. However, as a result of the full wave of ai, a large number of basic financial and economic jobs are being seen being taken away by ai. An in-depth reflection and age torture of financial and economic professional values is on the table: is the financial and economic profession recreated by ai the “cutter”
In fact, the wave of ai technology is crushing the moats of all professions, such as arts and engineering, without distinction. In the ai era, no profession could claim to be an island of absolute safety, and the risk of a “pit” was widespread. However, what is unique in the area of finance and finance is that it is tied to the depth of the economic and social lifelines that lead it to the emergence of a clear dividing path in the impact of ai: a complex water where the traditional “red sea” kills alongside the new “blue sea” opportunities, as well as the new form of high-value human life “new blue sea” created for the employment of ordinary people。
Hangzhou's ai public interest lectures, ai play clubs, aig (advisible intelligence generation of content) live events. Interviewee for map
Riskless:
All the professions could fall into the pit of the sky
We must first face up to a macro-realistic, “situational pit” risk, which is an age proposition under the influence of ai-general technology, rather than an exclusive label for financial and economic professions. The future employment report 2025, published by the world economic forum, predicts that the number of jobs replaced by ai will reach 92 million by 2030。
This shock wave will recreate a wide and deep spectrum of areas. In the computer community, the aarp tool is not recognized by the six families, and it can be programmed more efficiently than 100 times more efficiently than the programmer; in the legal world, the alsad system is efficiently processing volume standardization files; in the medical world, the diagnostic accuracy of image recognition algorithms is already comparable in some areas to that of senior physicians; and in the media, automated content generation tools have infiltrated news writing, advertising cases, etc. From ai-enabled to ai-born, structured intelligent organisms are quietly taking over the entire value chain of society。
The “alternative” of technology is particularly visible in the focus on the financial and economic field. The stock trading team at goldman sachs new york headquarters has been downsized from 600 at the beginning of the twenty-first century to very few, behind which algorithms drive over 80 per cent of united states stock transactions. The financial robotic solutions introduced by the four leading international accounting firms have cut across the entire chain from paper identification, risk control and tax disclosure。
Thus, the decision of the university of qinghua to discontinue the undergraduate section of accounting is not aimed at denying the accounting profession, but rather at integrating it into the wider economic, financial and management pool (which includes accounting and ai orientation) and responding in a forward-looking manner to structural changes in the demand for professional competencies for smart financial and mathematical accounting. It warns us that any combination of skills limited to repeat physical and intellectual work, regardless of subject, the market value is being or will be rapidly diluted. The security zone is no longer determined by professional names, but depends on the ability of individuals to build core cross-cutting competencies to harness intelligence, address complex ambiguities and make ultimate value judgements. Financial and economic jobs, which are highly structured and data-driven, become the alternative "front zone" for ai。
Professor zhang wenwoo spoke at the ai public interest lecture
Distinction shows:
The “red blue sea” of the financial and employment market
When the risk of the sky pit becomes a general context, the uniqueness of the financial field begins to emerge: it has not fallen as a whole, but has experienced a dramatic structural fragmentation that presents a complex pattern of opportunities and challenges in the “red blue sea”。
On the one hand, the competitive and high-risk replacement of the traditional red sea: basic accounting, manual credit clearance, standardized auditing, etc., has experienced a significant contraction in job demand and is extremely competitive. The core features of these posts are processability, repetitiveness and are located in the “high-growth areas” that are replaced by ai. The education and skills threshold is high in competition, with a master's rate of over 85 per cent in core positions in the head agency。
On the other hand, the emerging "blue sea" with a strong demand and high value: the blue sea, driven by two main engines of technological integration and industrial upgrading, opens the door to complex talent with a financial background. Positions such as data financial analysts, smart investment designers, block chain compliance specialists, esg risk management managers, etc., have emerged as springfalls, requiring a composite background of “financial and financial knowledge + technical skills”. The deep financial convergence of ai-driven industries has led to a large-scale expansion of the employment boundaries of financial and economic talent from financial and economic institutions to the core areas of the real economy, such as high-end manufacturing, green energy, and science, technology and innovation. The financier is no longer a back-office bookkeeper, but a strategic partner and value finder for the front-office operation。
According to the report on the insight of supply and demand in the employment of 2025 college students, the demand for jobs in the field of finance and finance is increasing at a considerable rate in the 2025 colleges and 2024 divisions, where the demand for jobs is increasing at the same rate. Science and technology finance (63. 8 per cent) and property/business management (62. 0 per cent) grew at the highest rate, exceeding 60 per cent, indicating strong recruitment demand. The government/public service (58. 3 per cent) and insurance (48. 9 per cent) sectors also show the second highest growth in job demand。
The breakdown of university-level jobs by sector. Interviewee for map
In the financial profession, for example, the study of the global futures of graduates 2025, published by the association of chartered financial analysts (cfa), showed that 37 per cent of respondents considered finance to be the most promising career orientation, a significant increase from 30 per cent in 2024 and 24 per cent in 2023, with a cumulative increase of 54 per cent over two years。
A number of data indicate that the market's demand for financial talent continues to grow in the light of trends in development, and that it is just beginning to exist. This is due to the fact that, in the area of finance and finance, ai, while replacing some of the basic financial posts, has also generated a large number of new jobs requiring “ai+ finance”. As in the industrial era, while the chariot driver position had disappeared, it had given rise to the car driver position。
This is the way to go
"ai+new economy" opens up a new blue sea with life
Ai has evolved at a faster rate than humans can imagine, and it is clear that ai has in many ways the ability to outlive ordinary people. Will the river still exist for human finance? Can a regular financial man keep his job? There is no need to worry, because what is unique in the area of finance and finance is its depth tied to the socio-economic lifeline. More than ever before, the economic and social society under ai needs an orderly structure, and its underlying logic stems from an unshakeable cornerstone of civilization: no matter how powerful ai is, the ultimate authority, value judgement and ethical responsibility of the economic and social community must and must be in the hands of humanity, who dares and will not surrender the evolutionary “direction” of the economic and social system. Thus, the core mission of future financiers is not to spell out and store against ai, but to be the “rule designer”, “value calibrater” and “risk keeper” of the ai system, thereby creating an “opportunity” group. An ordinary person is able to secure a job in the field of finance and finance, often not because he is stronger than ai, but because he is one of his own and is the bearer and judge of “human values”。
Even though robots are full of streets and intelligent connections, economic and social systems still require a large number of new financial and economicists who know both finance and ai to structure human well-being and safeguard human security, because a heartless ai cannot truly understand what is good and what is built on the norms of good and beauty. The more the number of employees, the more financial people are needed to stare, judge and board. This has opened up new forms of high-value human co-existence in the general population. As a result, on 9 november 2024, 49 financial higher education institutions in the country joined forces to form the numerical new financial and economic community, which has been actively promoting ai's efforts to build efficiency gains by helping finance and economic disciplines by upgrading them into the infrastructure and core competencies necessary to support the transition to finance and economic disciplines, in order to effectively enable the financial and employment transformation of the ai era。
For example, the zhejiang university of finance and economics, which is strategically designed to provide each student with a separate “ai+ new economy” training programme, spends a world and a lifetime of programmes, thereby creating a “multiple flowering” picture of the school's dominant professional cluster oriented towards “ai+ new economy”. Direct voting on the market - in 2025, the admissions to the school in zhejiang province showed that the minimum intakes rose by more than 20,000 from the previous year。
The simple dichotomy between the “convene” and the “blue sea” is no longer valid when technological waves strike all professional defensive embankments equally. The real division lies in whether we choose to hold on to the old shore that is destined to be eroded, or to take the initiative to the new blue sea called "symbiosis". Financial and economic specializations, as well as computer-related specializations in financial and higher education institutions, are expected because they are tied to the depth of economic and social life. It is difficult for any single profession to capture the ai dividend, and real opportunities lie in professional cross-fertilization. The human living together future will belong to those who, through ai, reshape themselves, govern the ai, the enabling industry, and the future. This is about the choice of personal career prospects, and more about whether, in the ai era, we can ensure that the canoe of progress remains on the course of human well-being。
