Lady Whistledown’s Debut Letter – The Impact of AI on Job Losses

Dearest Gentle Reader,

A most curious drama is unfolding across the grand halls of industry. The latest arrival to society’s ballroom—Artificial Intelligence—has not merely come to observe the dance. It has come, quite boldly, to take a partner or two… and in some cases, an entire occupation.

Whispers among economists suggest that by the year 2030, as many as 92 million jobs worldwide may be displaced by artificial intelligence, according to the World Economic Forum’s Future of Jobs research. Yet the same forecasts promise a twist worthy of any society intrigue: approximately 170 million new roles are expected to emerge in the process. One might say the labour market is not collapsing—it is merely changing costumes rather dramatically.

Already, the effects are appearing in the ledgers of commerce. In the technology sector alone, more than 244,000 workers lost their positions globally in 2025, with roughly 69,840 layoffs directly linked to artificial intelligence and automation initiatives as companies reorganized themselves around this new digital prodigy.

And the transformation is most pronounced among certain professions—those occupations whose duties are, shall we say, particularly fond of routine. 

Studies now reveal that nearly 70% of tasks performed by programmers, customer-service representatives, and data-entry clerks can already be automated by modern AI systems. One can hardly be surprised that these roles are beginning to feel the chill of technological competition.

Indeed, the clerks and scribes of modern enterprise—the administrative assistants, cashiers, ticket agents, and support staff—appear to be standing closest to the dance floor where automation is already waltzing. Research suggests that as many as one million office and administrative roles may disappear in the United States alone over the coming decade as digital systems assume many of their tasks.

Even the most prestigious houses of commerce have begun adjusting their guest lists. Companies across the technology world—from global consulting firms to cloud titans—have reduced headcount while investing heavily in artificial intelligence. Some organizations have eliminated thousands of roles as they restructure around smaller, AI-augmented teams designed to accomplish the work of many with far fewer.

Yet before society descends into full panic, a small but vital detail deserves attention. Across developed economies, only about 27% of occupations are considered at high risk of automation, meaning that the majority of professions retain skills machines cannot easily replicate—judgment, empathy, leadership, and creativity among them.

And here lies the delicious paradox.

While certain professions may find themselves abruptly unfashionable—like last season’s gowns—others are rising rapidly in prestige. 

Workers who possess AI expertise are reportedly commanding salary premiums of more than 50% compared with peers lacking such skills, proving that the true scandal is not that machines are learning quickly, but that humans must learn even faster.

Thus, the question before us is not whether artificial intelligence will claim a place in society. That introduction has already been made. The real question, dear reader, is who among us will choose to adapt, to reskill, and to step confidently into the new roles being created behind the velvet curtains of innovation.

For while machines may calculate faster, analyze deeper, and automate the most tedious of labours … They have yet to master the art of ambition.

And in the grand theatre of human progress, ambition remains the one quality that determines who shall truly lead the next season.

Yours most observantly, Lady Whistledown 

Commentary –  Dr. Cindy Gordon, CEO of SalesChoice: AI Ethics CEO Award Recipient (Top Professionals, 2025).

The voice of Lady Whistledown to many will no doubt put a smile on your face if you know who she is. For those who have not watched the Netflix series Bridgerton, or read Julia Quinn’s eight-novel series, it is a romantic drama about aristocratic families navigating love and reputation in Regency London, with the mysterious gossip writer Lady Whistledown (voiced by Julie Andrews and secretly written by Penelope Featherington) shaping the story through scandal and social commentary. The series is full of delicious foibles between high society and the lower class, with lavish period costumes and insatiable gossip.

As I don’t pen my musings through characters often, I felt the need to highlight some additional commentary – after all, if I wrote or dressed up like Lady Whistledown consistently, surely our current society would be escorting me from their boardrooms.

So now the tone shift.

A great deal has been written about the risks of AI white-collar job losses and whether publicly traded companies have a responsibility to communicate these fast-changing economic forces. I, for one, would like transparent disclosure.

We cannot hide our stories in our boardrooms – we need to manage the AI societal transformation with grace and integrity – our employees deserve this.

What is happening now is that many of the AI disclosures are positioned as a rallying cry that AI implementations have had a successful ROI, attempting in many cases to demonstrate productivity gains and further justify business model modernization. There is an acute fixation on underpinning AI under everything, but there is insufficient thinking if AI is being used for good to responsibly advance humanity to better outcomes.

We have incredible debt mounting in AI investments, and warnings are already acute regarding the lack of successful AI Initiatives. On average, over 80% of AI initiatives do not go beyond the initial pilot phase, and ROI trends are well below 10%. 

A wakeup call is needed to improve the current challenges in achieving successful AI execution outcomes.

Global trends linked to artificial intelligence (AI) investments are reshaping labour markets in profound ways, and economists generally agree that the effects will be uneven across sectors, job types, and time horizons.

Recent research and expert forecasts show that while AI-driven automation is already beginning to influence employment, the scale of job losses and the broader economic impact depend on how organisations, governments, and workers respond.

Studies suggest that white‑collar jobs — those involving cognitive tasks like data processing, programming, administration, and professional services — are currently far more exposed to AI disruption than traditional blue‑collar (manual or physical) work.

For example, research indicates that about 30 % of white‑collar roles could be executed by generative AI tools, while fewer than 1 % of typical blue‑collar job tasks have been fully automatable by current AI systems. This reflects the fact that machines currently excel in data‑rich, routine cognitive tasks before they can replicate complex physical skills.

Longer‑term projections paint a broader picture of the potential scale of AI disruption.

Multiple studies project that by 2030, tens of millions of jobs could be displaced as organisations increasingly adopt automation and generative AI technologies. For instance, a widely cited forecast from the World Economic Forum (WEF) estimates that AI and automation could displace up to 92 million jobs globally by 2030, but also create roughly 170 million new roles overall — a net positive if workers can transition into those new opportunities.

The anticipated job losses are most concentrated in easier‑to‑automate roles, particularly entry‑level white‑collar positions in areas like clerical work, data entry, analysis, and routine decision‑making.

Some industry leaders have warned that up to half of entry‑level white‑collar jobs might disappear over the next few years, potentially pushing unemployment rates in highly AI‑exposed sectors into double digits if displaced workers cannot find new roles.

Blue‑collar jobs — such as manufacturing, construction, transport, and trades — have been less affected so far because these roles often require complex physical coordination, adaptability, and human judgement in unpredictable environments. Even so, automation and robotics advancements are increasingly targeting routine factory and logistics tasks, and estimates suggest that hundreds of millions of jobs worldwide could be affected by automation by 2030 as robotics and AI systems continue to improve.

Economists emphasise that the number of jobs “lost to AI” is not the same as permanent unemployment. Many displaced workers may be able to transition into new roles if they receive effective retraining and support. In some optimistic scenarios, training and skills development could allow large numbers of workers to shift from declining jobs into emerging fields such as AI oversight, data science, machine maintenance, digital services, and creative or interpersonal roles that are less easily automated. For example, research suggests that while AI may eliminate certain jobs, it might simultaneously create millions of new roles that demand different skill sets.

However, this transition is not automatic or guaranteed. Many analysts warn that systemic challenges exist in reskilling workers at the scale and speed required. Educational systems, training programmes, and public policies are often struggling to keep pace with rapid technological change. There are concerns that without robust retraining initiatives, displaced workers may face prolonged unemployment or underemployment, widening economic inequality, and placing pressure on social safety nets. International organisations like the International Monetary Fund (IMF) have urged governments to strengthen worker support, enhance digital skills training, and focus education on complementary human‑AI capabilities to help people reposition into new careers.

In summary, while AI investments are driving significant shifts in the labour market, the global picture includes a mix of job displacement, job transformation, and job creation. White‑collar roles are more immediately vulnerable to automation, with estimates suggesting that many tens of millions of such jobs could be affected in the coming decade, and blue‑collar roles are increasingly influenced as robotics and AI improve. The economic impact outlook depends heavily on society’s ability to reskill and redeploy workers, so policy, education, and corporate strategies that emphasise lifelong learning and flexible skill acquisition will be crucial in shaping whether AI’s disruption leads to widespread unemployment or new opportunities for workers.

AI Job Impacts

Comprehensive workforce analysis project estimates that across all industries (not just tech), up to 92 million jobs could be displaced by AI by 2030 — a number that implicitly includes many tech roles given their high exposure to automation. Another aggregated statistic suggests that over 14 million jobs worldwide have already been displaced by AI‑driven technologies as of early 2025, though this figure covers all sectors and is not specific to technology. These broader projections underscore that the technology sector is both an early adopter and a sector with high task exposure to AI — meaning white‑collar roles like coding, data work, quality assurance, and even some product roles are increasingly vulnerable to automation or structural change

Over the full recent year, the tech sector saw hundreds of thousands of jobs cut, with a substantial portion attributed to technological restructuring that includes AI. Individual employers (such as Block and Morgan Stanley) have publicly linked specific layoffs (several thousand roles) to AI productivity adoption.

More Factoids

1. In the first half of 2025, about 78,000 technology jobs were reported lost, where AI was cited as a factor. Tracking from layoff databases and industry reports estimates that 77,999 tech roles were cut in the first six months of 2025, with AI cited as the reason, as companies restructured around automation and AI productivity tools.

2. A separate tech industry jobs report found that the tech sector as a whole lost 214,000 positions over 12 months (2024–2025), as firms reprioritized hiring and shifted roles toward AI‑centric skills. This figure isn’t all AI displacement, but a large share of these cuts is attributed to restructuring driven by AI efficiency goals.

3. High‑profile individual company layoffs explicitly linked to AI occurred in 2026. For example, fintech company Block laid off around 4,000 employees, with leadership publicly connecting AI productivity improvements to the workforce reduction.

4. Some major financial and technology employers reported cuts tied to AI and automation priorities. In late 2026, reports emerged of ~2,500 jobs cut at investment bank Morgan Stanley, with AI cited as a driver in automating certain tasks traditionally done by white‑collar employees.

Snippets:

• Francois Boulanger, of Montreal’s CGI, told investors in January that the company has not grown in headcount in over a year because of expanding AI use.

• A senior partner at a Major Bay Street legal firm said junior lawyers are struggling to find their place in their research roles, as senior partners are using AI legal tools instead of junior lawyers to help. AI is simply more efficient than training a new lawyer.

• Amazon has eliminated over 16,000 jobs and has said the jobs could be done more efficiently by AI.

• Accenture announced it would cut over 11,000 roles due to AI efficiency methods

• Block said in February 2026 it would slash over 40% of its workforce, claiming that AI tools were capable of doing more than human employees.

• Salesforce has laid off approximately 4,000 employees in its customer support division, with CEO Marc Benioff directly attributing the reduction to the implementation of Agentforce AI agents, which now handle about 50% of customer conversations. These cuts, which occurred around September 2025, reduced the support headcount from 9,000 to 5,000

Research Sources

A variety of research sources were leveraged to write this article, including Gemini, OpenAI, Google Scholar, and numerous publications, both public and academic sources.

1. World Economic Forum — The Future of Jobs Report 2025 World Economic Forum’s flagship labour‑market survey and analysis, reporting employer expectations on job gains, losses, and skill shifts through 2030 across industries worldwide — including the impacts of AI and automation.

2. Organisation for Economic Co‑operation and Development (OECD) — Artificial Intelligence and Jobs: Main Findings from the OECD AI Surveys Working paper from the OECD synthesising employer and employee survey data on how AI adoption is reshaping job stability, task changes, and perceptions of displacement across sectors such as finance and manufacturing.

3. Goldman Sachs Research — How Will AI Affect the Global Workforce? Detailed Goldman Sachs analysis of AI’s potential impact on employment, estimating workforce displacement risks and highlighting which occupations and sectors are most exposed.

4. Congruence Foundation — Artificial Intelligence Impact on the Global Job Market (2025–2030) A comprehensive meta‑analysis compiling findings from 70+ authoritative sources on projected global job displacement and creation by AI by 2030, including estimated job transitions and net effects.

5. J.P. Morgan Global Research — AI’s Impact on Job Growth Major financial institution research covering how AI could displace jobs in specific industries, with projections on labour‑market transitions and implications for economic growth.

6. OECD / World Bank / IMF Joint Report — Jobs, Skills For the New Economy Collaborative report providing real‑time analytics on labour‑market shifts, skill demands emerging from AI technology adoption, and policy considerations for managing workforce transitions.

7. International Labour Organization (ILO) — AI and Gendered Job Impacts ILO analysis showing how AI may affect gender‑segmented work patterns and job transformation risks, particularly in administrative and clerical roles where exposure is high.

8. International Monetary Fund (IMF) Commentary on AI & Employment IMF analysis suggests that AI could affect up to ~40% of jobs globally, while urging policymakers to balance productivity gains with social protections.

9. Vanmale, S. (March 7, 2026). What TSX-listed companies are disclosing about AI and white-collar job losses. Globe and Mail.

Academic Sources:

1. R. Maria del Rio‑Chanona et al. — AI and Jobs: A Review of Theory, Estimates, and Evidence A comprehensive peer‑reviewed synthesis of theoretical models and empirical evidence on AI’s labour‑market effects, including task automation, displacement measures, and demand changes in occupations.

2. Priyadarshini R. Pennathur et al. — The Future of Office & Administrative Support Occupations in the Era of AI Bibliometric analysis focused on AI’s impact on office and administrative roles, noting forecasts of job losses and gaps in research on workforce development and skills evolution in these occupations.

3. Elina Mäkelä & Fabian Stephany — Complement or Substitute? How AI Increases Demand for Human Skills An academic study examining how AI reshapes demand for different skill types, showing areas where human skills complement AI versus where substitution risk is highest.

4. “Generate” the Future of Work through AI: Empirical Evidence from Online Labour Markets Research analysing how demand for freelance work in AI‑exposed submarkets has changed, offering empirical evidence of declines in some job types and shifts to new skill‑oriented tasks.