A few days ago, a survey study by the IBM Institute for Business Value for global CEOs showed that 50% of CEOs said they had integrated generative artificial intelligence into their products and services, and 43% of CEOs said they were using generative artificial intelligence to provide information support for strategic decision-making.

Undeniably, the wave of big models represented by ChatGPT has opened a new chapter in the development of the AI industry. From front-line business to top-level decision-making, from technology development to product operation, both hitmen and corporate executives are trying to use generative AI to improve their work efficiency and enhance the competitiveness of their companies.

However, IBM's research also shows that even though 69% of CEOs believe that generative AI will bring numerous benefits to the organization as a whole, only 29% of executive teams believe that they have the in-house expertise to utilize generative AI. This means that the vast majority of company executive teams may be jeopardized by the fact that the information provided by generative AI is difficult to identify and cannot be corroborated, and may make poor decisions that could affect the company's growth.

In addition, the development of generative AI technology is still in its infancy, and a lot of complex business information, as well as corporate culture, social responsibility and other honorary content that relies on emotional support, are difficult to quantify into data that can be learned and transformed by AI, which, to a certain extent, also affects the corporate management and decision-making layer relying on generative AI to make the right business judgments and decisions.

The law of the jungle speaks of survival of the fittest. The only way for individuals and businesses not to be abandoned by the times is to keep learning. In today's unstoppable wave of artificial intelligence in the context of the times, generative artificial intelligence application of all kinds of "blind spots", is also forcing business management and decision-making layer, the executive layer to learn how to use generative artificial intelligence to improve their own work efficiency, even if they are facing a saturated workload or even overloaded with the reality of the situation.

In fact, this is a test of their ability to manage time, after all, the time of day is 24 hours, when the daily work and rest occupies most of the time, leaving them to learn new things may also be 2, 3 hours or even less. Therefore, they must have the ultimate time management skills to maximize the value of every minute.

Of course, at different levels of a company, the priorities are naturally different. For most executives, the value of generative AI is becoming more and more apparent, and learning how to use generative AI to drive work efficiency has naturally become a top priority. As a result, they need to spend more energy and time on learning how to apply generative AI to their work during a fixed 24-hour day. The priority is naturally higher compared to some daily chores such as reimbursement and project creation.

Once the degree of priority of things is determined, it is necessary to put things in the schedule in chronological order and complete them according to the plan. When the week's work is completed, it is necessary to review the week's work, analyze the effect of time management, summarize the experience and lessons learned.

As a management and decision-making personnel, whether executives or mid-level, or grassroots managers, you need to do a good job of authorization, so that they can explore and practice the application of generative artificial intelligence according to the appropriate goals, as well as to solve related problems, such as authorizing the relevant business personnel to study how to quantify non-standard business information and transform it into data that can be used for learning by artificial intelligence.

Finally, it is necessary to do a good job of reviewing, taking the end as the beginning, and comprehensively and systematically sorting out the work situation in the past period, finding achievements, discovering shortcomings, digging into the reasons, summarizing experience, and then better guiding the work in the next stage.

In the new wave of technological change, the development of artificial intelligence is unstoppable. If individuals and enterprises want to stay ahead of the game in the unpredictable business environment, the key is to do a good job of time management to ensure that they always master the most cutting-edge core technologies and integrate them into their work and business development. The power of time can be felt when individuals and businesses maximize the value of every minute.