Distance between people and the workplace driven by AI
As the bank cuts 3,000 jobs, it explains that the purpose of AI is to improve efficiency, not replace it. In enterprise software, it is said that even if AI agents approach autopilot, human involvement will remain. In drug discovery, partnerships worth up to $1.5 billion are being formed, and in diagnostics, predictive models are entering decisions about individual tumors. The power to generate speed reaches the workplace, the laboratory, and the clinic at the same time. What I would like to pass on to the reader here is the view that the success or failure of implementation is not determined by high performance, but by drawing the line between which processes should be left to AI and which decisions should be left to humans. The company's explanation and the size of its funds are not the basis for drawing that line. In the main text, we will take a look at where the lines are drawn in each area.
In articles reporting on layoffs at banks, words of explanation appear alongside the number of job cuts. Axis Bank will cut 3,000 jobs in FY26. According to a report (Goodreturns), the bank aims to use AI to improve operational efficiency and not to replace human resources. In the tech industry, local media is also talking about where AI and layoffs will take jobs (KTVU). However, in this type of announcement, the number ``3,000 people'' and the explanation ``not a replacement'' appear on the same page. Words of explanation are not a basis upon which readers can rest their judgment.
On the corporate software side, a design that leaves people in touch is talked about as a specification. An analysis of Workday Rising 2026 (iTWire) reported that Workday's AI agents will move closer to autopilot while maintaining human involvement. As automation progresses, product design decisions become more important in deciding which processes to employ people in. What those considering the introduction should look at is not how many people will be cut. The question is what part of approval and exception handling remains in the hands of people.
Changes in the nature of work are more visible in the fields of nursing care, education, and housing support. An article (McKnight's Senior Living) featuring a report on nursing homes reported that the use of AI is supporting nursing care workers. Shizuoka Prefecture has introduced AI chat to prefectural housing complexes to help prevent single-person households from becoming isolated (Mainichi Shimbun). In education, SBCCD and BBOP Center have launched an AI literacy partnership at College Corps (Precinct Reporter News). All three of these cases can be read as examples of AI changing the scope of work performed by people and the abilities required of them, rather than replacing people. Caregivers will be able to entrust some of the recording and confirmation to AI, and residents of the housing complex will be able to first consult via chat. Those who learn will acquire the ability to fully utilize AI.
