If you’ve been in the last few months, you’ve probably been staring at a blank chat box, wondering if the software you use to write emails is going to take your desk away. Young professionals trying to climb the corporate ladder feel real anxiety. The traditional proving ground for a corporate career, the entry-level job, is changing dramatically. A landmark 2025 global study on enterprise automation by McKinsey and Company found that about 51 per cent of organisations say generative software is actively reducing their need for entry-level roles. The traditional starter tasks of summarising notes, building simple spreadsheets and sorting data are quickly disappearing into the cloud.
Yet the outlook from the top office is surprisingly upbeat. Goldman Sachs CEO David Solomon recently weighed in on the conversation. He says the widespread fear of a total collapse of jobs is massively overstated. Goldman’s own internal economic analysis suggests automation could change up to 25 per cent of current work hours in the next ten years. But Solomon sees it not as an endpoint, but as a gigantic evolutionary leap forward for the global workforce.
Redefining the daily grind, not replacing it
The sunny-side-up scenario is predicated on a fundamental shift in how we spend our workdays. We are not trying to get rid of jobs wholesale, but to get rid of the dull, repetitive chores that drain human creativity. “Automation will free up the workforce to focus on deeper, more complex strategic problems,” Solomon says. The technology is expected to raise the standards of existing fields, rather than making human professionals obsolete, by turning junior employees into strategic thinkers much earlier in their career paths.
This prognosis is at odds with decades of economic worry. Solomon takes us back to 1930, when the legendary economist John Maynard Keynes famously predicted that technological advances would allow humans to work only 15 hours a week by 2030. While our current 40-hour workweeks show that Keynes was wrong about total leisure time, his basic logic carries a valuable lesson. Historically, innovation has always resulted in massive waves of economic renewal and productivity, not permanent unemployment lines. He reckons we’re at the edge of a similar resurgence, and the labour force will adapt, shifting to positions that entail overseeing and checking the automated tools themselves.
Warning signs of too much automation
Some experts do not agree with this idea of a seamless transition. But top economic researchers say corporate leaders may be wildly overestimating the ease with which the job market can pivot. In a much more reserved approach, MIT professor and Nobel laureate Daron Acemoglu, in a much-debated academic paper titled The Simple Macroeconomics of AI, available through MIT's website, writes: Acemoglu estimates that only around 5 per cent of human work tasks can be genuinely and profitably automated by software in the next decade.
The danger, critics say, is a corporate culture obsessed with cutting immediate labour costs rather than innovating. But if automation is only used to replace human workers, and not to create new high-value work for those workers, the economy may be heading into a frustrating trap. Such a mismatch could lead to lower workforce participation and left-behind employees stuck in highly constrained, meaningless roles. While some fear job collapse, leaders like Goldman Sachs CEO David Solomon believe automation will free workers for complex tasks, leading to an evolutionary leap.
Navigating an augmentation and adaptation landscape
Between the executive’s optimism and the academic’s caution is probably the real future of work. The impact of new technology is increasingly being felt unevenly across different career paths. Data suggests that transactional roles such as insurance claims processors, telephone operators and basic collectors are at an extremely high risk of direct substitution.
However, high relational and decision-intensive fields are entering an age of augmentation. Corporate executives, education administrators and medical surgeons are discovering that automated tools ease their workflows rather than threaten their job security. But Solomon emphasises that it will not be the responsibility of individual workers alone to navigate a job market that is being reshaped by rapid automation, as the coming shift will be uneven. He calls for a massive collaborative effort between public policymakers and private industry leaders to develop strong training pipelines to help institutions and young professionals transition smoothly into the modern workplace.
