AI concept. 3D rendering
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Reading popular business and economic media, or trying out LinkedIn, you'll notice many stories about how artificial intelligence can take away jobs today. Frankly, the term “a variety of technology umbrellas” that began to exist in the 1960s has already been so for over a decade.
Current developments like generation AI systems that can create text or image responses to prompts have taken the business world by storm and become the subject of consumer fashion. However, research suggests that practicalities such as the heavy failure rate of corporate projects can put some pressure on them from the assumption that everything is programmable.
The history of technology that undermines your work
The theory of using technology to boost your business is outdated. Anything available to reduce the effort of machines, computers, communications, “expensive” and “unreliable” human beings. Part of the argument for reducing employment concerns is that a new wave of technology has eliminated jobs, but create more new things and make up for what's lost. The use of technology was supposed to improve many people and lead them to a better job.
According to MIT research, there were some truths to it, New Frontier: The Origin and Content of New Works, 1940-2018. David Autor, Caroline Chin, Anna Salomons, and Bryan Seegmiller were able to compare detailed occupations with the US Census Bureau's Microdata “Patent-Based Scale of Occupational Exposure to Labor Mechanics and Auto-Work Innovation.”
From 1940 to 1980, new technologies coexisted with increasing production of medium-salary jobs and the creation of new jobs in office jobs. There It was But unfortunately, more jobs did not have the background to many people who had come out of their old professions to get new jobs.
Things changed in 1980 and things changed in the future. First, there was a division in the work, some provided thriving careers for high-paying professionals, while others were able to obtain low-paid service work. “Innovations that automate tasks and reduce job demands slow the emergence of new jobs.” The amount of work created by new technology is less than that of excluded. Since 1980, new technology has not produced more work than it has been destroyed.
AI and automation are targeting more work, can we continue?
White-collar work was done before ChatGpt's large-scale language model through what is called automation, but for a long time included mechanics and artificial intelligence. Blue-collar work has been on the slab for decades. Those who lose their jobs will have fewer places to change their careers. This is combined with weakening the labor market.
A new problem has arrived. Many CEOs are driving AI projects as a way to increase productivity and reduce labor costs, particularly with generative AI hype. The board is enthusiastic and wants to know when the merits will get caught up in it. However, another MIT study, genai divide: AI status in Business 2025A review of survey responses from over 300 publicly disclosed AI initiatives, structured interviews with representatives from 52 organizations, and 153 senior leaders from four major industry meetings showed that 95% of corporate projects had a zero return.
High failure counts in corporate software projects are not new, but in the past they have been in a 70% order. now? Only 5% of pilot projects have entered full implementation with measurable values.
Organizational leaders have little understanding of technology. Return on investment seems easy to measure, so we focus on sales projects for sales and marketing. What actually pays off is areas like procurement, finance and operations.
And while 90% of companies already use existing tools such as ChatGPT, only 40% are purchasing licenses, falling at potential legal risk.
Unless companies get better control, the latest versions of AI can encounter the same challenges that other technologies face. Executives and committees are tired, and if people who sign the check no longer trust the promise, the promises to cut can be slowed down and reduced.
