The eternal productivity 'problem' |Career development

The relationship between the intelligence of exercise, the ability to control time and the type of working hours is evident.And when AI arrives...

The emergence of general AI will make the general progress of work: from processing this work differently, our technology will take us to the question-and-answer interval and force us to redefine the surplus and transform the surplus production capacity.

The relationship between artificial intelligence and time management, the relationship between short-term jobs, and the short-term work model are clear.This relationship will also be present when general AI (agi) arrives.

Before the big leap to AGI, we've seen all sorts of experiments with shorter hours or four-day work weeks as solutions to improve well-being, retention or motivation without penalizing productivity.

The general AI that will come, understood as artificial intelligence with cognitive abilities comparable to humans, will provide significant leaps in productivity, speed of innovation or solving complex problems.If the volume of human work in many businesses decreases dramatically thanks to mainstream AI, the focus may shift from “how many hours” to “what kind of hours”.

In a general artificial intelligence 24 hours a day, without human fatigue, without the need for rest, with immediate knowledge sharing, the productivity ceiling will radically change, and this means that the value measure of human working hours may lose its relative weight compared to the human-AI ecosystem.

What are we going to do today?

If we return for a moment to the artificial intelligence we enjoy today, we must remember that the AI ​​of generations already shows that it can write texts, reports or emails;perform summaries, analyses, targeted searches;automation within administrative and coordination work... This is not general AI, but it already includes the fact that productivity is no longer the sole product of human effort and will arise between humans and AI systems.

The global report of the Workforce of the Adecco Group, which analyzes 31 countries and 21 sectors, current employee understanding of AI and expectations for the redesign of work, concludes in the case of Spain that professionals believe that AI saves an equivalent amount of 171 minutes (2.85 hours) every day on average, although companies did not increase by 5 1 min.

Research of the ADCCO Group suggests that AI can released "operational Time" for higher-value tasks, but without conscious intervention (training, work restraturing, impact metrics), the "free time" could not translate into real improvements.

Talking about the Global Data, "76% of professionals seek to show that the creation of other opportunities and 70% have more work."

Economic cooperation organization, which improves the production of AN in written form by 5% and from the summary of management tasks, in a controlled experiment, AI (GPT4), AI (GPT4), increased by 40%.

Study again in St. Fedis Reseral reserves the place with savings of about 5.4% per week (although there are differences between workers with more experience).

time and skills

All this research shows that it seems possible to save time or improve efficiency.However, if we talk about the difference between perceived savings and organizational measures, the Adecco Group report already points out that "although employees perceive large savings, organizations do not measure them or see them reflected. In addition, a phenomenon is observed that shows that workers can devote this free time to neglected tasks of errors AI or simply improving the results, improving the results or improving the results. higher production (which is called the feedback effect).

And Harvard Business School talks about "AI infiltrating garbage work that takes time to test, modify, or monitor the development of these tools."This is what some have called the work loop, which reflects a pervasive but real problem at the intersection of artificial intelligence, time management, and productivity: AI is used indiscriminately or carelessly, potentially creating a false impression of efficiency and actually devaluing our work and increasing the burden on others in the organization.

Another MIT study recalls that "although more than 80% of companies have integrated artificial intelligence tools into their workflows, 95% have not observed a measurable return on investment."Bad or ill-judged use of artificial intelligence can create a false impression of effectiveness.This is not a technology problem: it is a combination of strategy, processes, culture, people skills and management metrics.

In fact, if the organization does not have a mechanism to measure the impact of free time, it will not be able to return the real benefit (reduced working hours, for example).

Mario Ghrke, the founder of artificial intelligence, reminds that production models are powerful today, but in "real intelligence" (causal, real capacity, etc.).Thus, this understanding of education and opinions of experts who say that artificial intelligence will make it possible to reduce working hours in industry, automation of administrative and routine tasks.

The founder of The Mind Kind suggests that generative systems do not yet "understand" causality or sensory experience, that true intelligence remains within humans ("intelligence is still within us").This idea is consistent with research that has concluded that AI models help and free up time, but do not yet replace all intellectual or critical work that requires experience, judgment or human common sense.

The new value of work

And thanks to AI, questions about the value of human labor, what to do with free time, here and there, reducing working hours or implementing a shorter week become a wise choice.

If we achieve a general artificial intelligence with cognitive abilities close to or superior to those of humans, it will be able to perform not only repetitive tasks, but also some of the design of solutions, experiments, simulations or hypotheses.

We will have brain teams able to work in parallel 24 hours a day, immediately sharing what they have learned.This is the idea proposed by the founder of The Mind Kind: "What one AI learns, they all learn."

To the question of whether we can work more with artificial intelligence in general, the answer is that it can solve the product problem (we create too little of another problem: how we handle too much.

If we talk about freeing up many hours of alone time, we must remember that when AI takes over management of schedules, repetitive tasks or frees up many hours of management.This episode lets us know what you need to do during this time.Instead of simply increasing the amount of work, one option is to reduce the hours.And if we don’t leave time management around Ai, the results will not bring productivity, but even greater depression: and there will be a lot of people leading the dance.

The bottom line of all this is that general artificial intelligence brings us a painful thought: when the concept of human time scarcity disappears, it will not be possible to sustain the current work model.

If production were to stop according to our hours, maintaining long hours would be an economic inefficiency, an organizational inconsistency and a competitive burden, and this would make demands and models for reduced working hours a logical consequence of any system that wants to really take advantage of the available intelligence (natural and artificial) capabilities.

General Ai will not only increase our productivity, but also require new commitments in time management.