Disruptive technology will inevitably attract critics and naysayers, but AI has brought them out in force. Although AI has been gaining traction for decades, the backlash didn’t kick in until GenAI became public with the launch of ChatGPT in 2022. Since then, the existential risks attributed to AI have ranged from economic collapse to total extinction, but the real story of AI workforce impact is far more gradual.
The theory is that the technology will become so adept at certain tasks that organizations will choose to replace countless white collar and blue collar roles with AI, causing unemployment to soar globally.
The fact that this narrative isn’t coming from anti-AI luddites but from those in the industry itself has given weight to the narrative. Dario Amodei, CEO of Anthropic, warned that we’re “sleepwalking into an AI bloodbath” during a May 2025 interview, warning AI could wipe out half of all entry-level white-collar jobs.
However, the hype surrounding AI these past years has fed into a trend of sensationalized reporting where interview snippets and soundbites become headline news.
Three reports this month suggest that the imminent risk of an AI-induced jobs apocalypse has been overblown.
New Study Finds No Evidence of Discernible Disruption From GenAI
This month, researchers from Yale’s Budget Lab and the Brookings Institution looked at whether they could find evidence of “discernible disruption” to jobs since the launch of OpenAI’s ChatGPT. While data shows that the occupational mix that makes up the labor market is evolving, this trend was in motion long before the release of ChatGPT. The researchers couldn’t see any dramatic change catalyzed by the launch of ChatGPT in November 2022.
They summarized that AI automation isn’t currently eroding the demand for cognitive labor across the economy nor destroying the wider labor market. But currently is the key word here. The study also recognizes that changes from technological disruption historically take a much longer time to materialize.
Global leaders like Pepsi and Heineken are some of the early adopters seeing GenAI’s synergy with human talent having a positive effect. The positive takeaway here is that AI may well help to shape a workplace of the future that looks distinctly different to the pre-ChatGPT era.
However, this won’t happen overnight nor, as the study shows, in 33 months.
Desktop computers took nearly a decade to become a common sight in offices after they were first released and even longer still to truly change office workflows. We could see a similar story with AI, where systems and processes evolve gradually to harness the positives of the tech without causing a total shockwave.
Should We Take These Results with a Pinch of Salt?
Although the study offers a welcome respite from the doomsday predictions, the purpose of the investigation was to look at the occupational mix. If we zoom out and look at the bigger picture, AI seems to be having a disproportionate impact on junior employees and new graduates.
On one hand, the US labor market and economy in 2025 boast several positive indicators adding 177,000 jobs in April alone and a historically low unemployment rate of 4.2%. This supports the idea that AI hasn’t put a large percentage of knowledge workers out of work.
Yet on the other hand, recent graduates are struggling to get their foot on the first rung of the career ladder. Despite overall unemployment being at a record low rate, recent graduates buck the trend, with a rate consistently higher than the national average.
“Disturbingly, the unemployment rate has been trending above the aggregate rate, which is highly unusual by historical standards,” noted Murat Tasci, senior U.S. economist at J.P. Morgan.
“It’s a very difficult job market for college graduates, and it will take time to work out of this,” added Matthew Martin, senior US economist at Oxford Economics.
Meanwhile a report from JP Morgan suggests majors exposed to AI, including computer engineering design and architecture, are the recent grads most at risk.
Given that this segment of the population is saddled with debt after making a huge investment in their college level education to improve their career prospects, the long road to employment post graduation is likely a bitter pill to swallow.
Critics suggest that AI is responsible by taking up the types of low-risk, simple tasks that would normally be assigned to interns and junior assistants to cut their teeth at the company. While it may be a contributing factor, it’s far from the sole cause. The prospects of recent graduates are also being impacted by a rise in the relative supply of college graduates and unusually low labor market churn.
One Thing Is Clear: There Are Unrealistic Expectations for AI
While we wait to see how the story unfolds with AI’s impact on the occupational mix and career pathways, the final question is how quickly and effectively the technology will change operational office workflows.
Here, the main barrier could actually boil down to unrealistic expectations. After years of hype about how disruptive and game-changing AI is going to be, company leaders may have the sights set on an immediate return on their AI investments. In truth, this is likely to be a much gradual journey in much the same way as the impact on the labor market.
A survey from Solvd spoke with 500 CIOs and CTOs at $500M+ companies. 71% of these respondents said that their leadership team have unrealistic ideas about what AI will deliver and how quickly this will happen.
The expectation to see overnight ROI from AI initiatives is creating high-pressure work environments that will affect how the technology is applied if the situation isn’t addressed.
“AI is moving at breakneck speed, but speed alone isn’t a strategy,” said Adam Gabrault, CEO of Solvd. “Too many organizations get stuck in endless loops of pilots and proofs of concept, with little to show for it.”
This is a big risk factor. If these leaders feel their investments aren’t delivering then transformation initiatives could lose funding or be cut short. While the goals may be achievable, CIOs and CTOs will need to tread carefully in communicating that the runway could be years in the making.
It also suggests that workers at all levels of seniority need to adjust expectations that AI is a communal tool for the organization, not a direct replacement for the employee.
Record Wave of New Business Applicants
The labor market is also going through its own form of transformation as we see work preferences shifting, with the younger generation leaning increasingly towards careers in service, tech, and hospitality. Regions like South Korea are seeing workers aged 60 and above surpass those in their 20s in the manufacturing sector workforce.
“Now, we have graduates who are uninterested in manufacturing jobs”, says Alex Sandoval, the CEO and co-founder of Allie AI, a company dedicated to helping industrial businesses leverage AI to help retain and transfer the knowledge from a generation existing in waves. “Couple this with retirees leaving with wisdom, results in both the quality of production and the competitiveness of the manufacturer being impacted. The industry is experiencing a big wake-up call to invest in upskilling and getting the workforce ready for a shift, where operators can pass down their know-how in smarter, more lasting ways.”
AI is also giving people the confidence to pursue new career ideas on their own, essentially lowering barriers to starting a business. In 2025, the Small Business Administration reported receiving a staggering 440,000 applications from entrepreneurs monthly, a 90% increase compared to pre-pandemic levels.
Today’s technology enables individuals, particularly young workers who have adapted easily to using AI, to bring a business idea to life, showing that it’s not about job losses but about job reinvention.
“AI really shows your solopreneur and your small business to really scale in a way that wasn’t possible just a few years ago,” according to Leslie Thomas of Kryterion. She recounts how a friend, motivated but stuck, finally found momentum using large language models to create content and video to finally build her business. “Before, it would have taken weeks. Now she’s building faster, smarter, and solo.”
With nearly half of Gen Z expressing a desire to be their own boss, this shift is meaningful for those people seeking more autonomy. According to Odile Sanchez of the university Tec de Monterrey, “This reduces the pain in terms of time and effort, making becoming a business owner more accessible, particularly for working mothers. At the end of the day, the most valuable resource is knowledge and creativity.”
AI Will Disrupt, but Not Overnight
These three reports from this month show us that AI’s impact on the labor market may take years to materialize with any noticeable effect. It may well be the case that certain roles of today will be obsolete in the future, while the value of certain skill sets decreases.
However, the pace of these changes will be incremental, meaning that huge swathes of the workforce won’t wake up one day to find AI has taken their job.
Meanwhile, other skill sets will become more valuable and create exciting career opportunities for employees and organizations. More importantly, this gives employers and employees time to rethink, adjust and retrain.
