
Is AI causing tech worker layoffs? That's what CEOs suggest, but the reality is complicated
The reality is more complicated, with companies trying to signal to Wall Street that they're making themselves more efficient as they prepare for broader changes wrought by AI.
A new report Wednesday from career website Indeed says tech job postings in July were down 36% from their early 2020 levels, with AI one but not the most obvious factor in stalling a rebound.
ChatGPT's debut in late 2022 also corresponded with the end of a pandemic-era hiring binge, making it hard to isolate AI's role in the hiring doldrums that followed.
'We're kind of in this period where the tech job market is weak, but other areas of the job market have also cooled at a similar pace,' said Brendon Bernard, an economist at the Indeed Hiring Lab. 'Tech job postings have actually evolved pretty similarly to the rest of the economy, including relative to job postings where there really isn't that much exposure to AI.'
The template for tech CEO layoff notices in 2025 includes an AI pivot
That nuance is not always clear from the last six months of tech layoff emails, which often include a nod to AI in addition to expressions of sympathy.
When he announced mass layoffs earlier this year, Workday CEO Carl Eschenbach invited employees to consider the bigger picture: 'Companies everywhere are reimagining how work gets done, and the increasing demand for AI has the potential to drive a new era of growth for Workday.'
Autodesk CEO Andrew Anagnost explained that a need to shift resources to 'accelerate investments' in AI was one of the reasons the company had to cut 1,350, or about 9%, of workers.
The 'Why We're Doing This' section of CrowdStrike CEO George Kurtz's announcement of 5% job cuts said the cybersecurity company needed to double down on AI investments to 'accelerate execution and efficiency.'
'AI flattens our hiring curve, and helps us innovate from idea to product faster,' Kurtz wrote.
It's not just U.S. companies. In India, tech giant Tata Consultancy Services recently characterized its 12,000 layoffs, or 2% of its workforce, as part of a shift to a 'Future-Ready organization' that would be realigning its workforce and 'deploying AI at scale for our clients and ourselves.'
Even the Japanese parent company of Indeed and Glassdoor has cited an AI shift in its notice of 1,300 layoffs at the job search and workplace review sites.
AI spending, not replacement, is a more common factor
Microsoft, which is scheduled to release its fourth-quarter earnings Wednesday, has announced layoffs of about 15,000 workers this year even as its profits have soared.
Microsoft CEO Satya Nadella told employees last week the layoffs were 'weighing heavily' on him but also positioned them as an opportunity to reimagine the company's mission for an AI era.
Promises of a leaner approach have been welcomed on Wall Street, especially from tech giants that are trying to justify huge amounts of capital spending to pay for the data centers, chips and other components required to power AI technology.
'It's this sort of double-edged sword restructuring that I think a lot of tech giants are encountering in this age of AI, where they have to find the right balance between maintaining an appropriate headcount, but also allowing artificial intelligence to come to the forefront,' said Bryan Hayes, a strategist at Zacks Investment Research.
Google said last week it would raise its budget for capital expenditures by an additional $10 billion to $85 billion. Microsoft is expected to outline similar guidance soon.
The role of AI in job replacement is hard to track
One thing is clear to Hayes: Microsoft's job cuts improve its profit margin outlook for the 2026 fiscal year that started in July.
But what these broader tech industry layoffs mean for the employment prospects of tech workers can be harder to gauge.
'Will AI replace some of these jobs? Absolutely,' said Hayes. 'But it's also going to create a lot of jobs. Employees that are able to leverage artificial intelligence and help the companies innovate, and create new products and services, are going to be the ones that are in high demand.'
He pointed to Meta Platforms, the parent company of Facebook and Instagram, which is on a spree of offering lucrative packages to recruit elite AI scientists from competitors such as OpenAI.
The reports published by Indeed on Wednesday show that AI specialists are faring better than standard software engineers, but even those jobs are not where they have been.
'Machine-learning engineers — which is kind of the canonical AI job — those job postings are still noticeably above where they were pre-pandemic, though they've actually come down compared to their 2022 peak,' said Bernard, the Indeed economist. 'They've also been impacted by the cyclical ups and downs of the sector.'
Monday Mornings
The latest local business news and a lookahead to the coming week.
Economists are watching for AI's effects on entry-level tech jobs
Tech hiring has particularly plunged in AI hubs such as the San Francisco Bay Area, as well as Boston and Seattle, according to Indeed.
But in looking more closely at which tech workers were least likely to get hired, Indeed found the deepest impact on entry-level jobs in the tech industry, with those with at least five years of experience faring better.
The hiring declines were sharpest in entry-level tech industry jobs that involve marketing, administrative assistance and human resources, which all involve tasks that overlap with the strength of the latest generative AI tools that can help create documents and images.
'The plunge in tech hiring started before the new AI age, but the shifting experience requirements is something that happened a bit more recently,' Bernard said.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Globe and Mail
8 minutes ago
- Globe and Mail
Meta Platforms, Inc. Earnings Call Highlights AI Growth
Meta Platforms, Inc. ((META)) has held its Q2 earnings call. Read on for the main highlights of the call. Elevate Your Investing Strategy: Take advantage of TipRanks Premium at 50% off! Unlock powerful investing tools, advanced data, and expert analyst insights to help you invest with confidence. Meta Platforms, Inc. recently held its earnings call, showcasing a strong performance driven by advancements in AI technology. The company reported significant growth in revenue and user engagement, attributed to its strategic investments in AI infrastructure and talent. Despite these achievements, Meta faces challenges, particularly with losses in its Reality Labs division and regulatory pressures in the European Union. Strong Revenue Growth Meta reported a total revenue of $47.5 billion for the second quarter, marking a 22% increase on both a reported and constant currency basis. This impressive growth highlights the company's robust financial health and its ability to capitalize on market opportunities. AI-Powered Ad Improvements The company has seen a notable enhancement in ad conversions, thanks to AI-powered recommendations. Instagram experienced a 5% increase in ad conversions, while Facebook saw a 3% rise. These improvements underscore Meta's commitment to leveraging AI to optimize its advertising platforms. Increased Engagement Meta's advancements in recommendation systems have led to increased user engagement, with a 5% rise in time spent on Facebook and a 6% increase on Instagram. This growth in engagement is a testament to the effectiveness of Meta's AI-driven strategies. Family of Apps Revenue Surge The Family of Apps division reported a revenue of $47.1 billion, reflecting a 22% year-over-year increase. This surge underscores the strength and popularity of Meta's suite of applications. Strong Operating Income Meta's operating income for the second quarter was $20.4 billion, representing a 43% operating margin. This strong performance indicates efficient cost management and a successful revenue model. Growing Meta AI Engagement Meta AI now boasts over 1 billion monthly active users, highlighting the widespread adoption and integration of AI across Meta's platforms. Expansion of AI Devices Meta is making strides in the AI devices market with the successful launch of Ray-Ban Meta glasses and the new Oakley Meta HSTN. These products are gaining momentum, contributing to the company's growth in the augmented reality space. Reality Labs Operating Loss Despite the overall positive performance, Reality Labs reported expenses of $4.9 billion and an operating loss of $4.5 billion. This division remains a challenging area for Meta, requiring strategic adjustments to achieve profitability. Regulatory Challenges in Europe Meta is facing increased legal and regulatory headwinds in the EU, which could significantly impact its business and financial results. Navigating these challenges will be crucial for Meta's continued success in the region. High Infrastructure Costs The company's total expenses for the second quarter were $27.1 billion, up 12% due to higher infrastructure costs. This increase reflects Meta's ongoing investments in its technological backbone to support future growth. Increase in Capital Expenditures Meta's capital expenditures reached $17 billion, driven by investments in servers, data centers, and network infrastructure. These expenditures are essential for maintaining and expanding Meta's technological capabilities. Forward-Looking Guidance Looking ahead, Meta provided extensive guidance for the second quarter of 2025. The company expects Q3 2025 revenue to range between $47.5 billion and $50.5 billion. Total expenses for 2025 are anticipated to be between $114 billion and $118 billion, driven by continued investments in infrastructure and talent. Meta's strategic focus remains on AI development, with advancements in the Llama 4.1 and 4.2 models and growth in the augmented reality space. In conclusion, Meta Platforms, Inc. has demonstrated strong financial performance and user engagement growth, driven by its strategic focus on AI advancements. While challenges persist, particularly in Reality Labs and regulatory environments, Meta's forward-looking guidance suggests continued growth and investment in key areas. Investors and stakeholders will be keenly watching how Meta navigates these challenges and capitalizes on its opportunities in the coming quarters.


Globe and Mail
an hour ago
- Globe and Mail
Toronto's Blue J Legal raises $167-million as demand for its ChatGPT-like chatbot for tax pros takes off
Blue J Legal Inc, a Toronto software startup that sells a chatbot for tax specialists powered by large-language models, has secured $167-million in financing led by two U.S. venture capital firms. The company reported in two filings on July 25 with Canadian securities regulators that that it had raised $161-million from investors outside Canada, and $6.4-million more within Canada. A corporate filing by Blue J with the federal government last week indicates the financing values it at more than US$300-million. One of the securities filings reveals the company has added two directors, Cathy Gao – a partner with Sapphire Ventures in San Francisco – and Allen Miller, a partner with Oak HC/FT in New York. A source familiar with the matter confirmed the two U.S. funds co-led the deal. Past investors include Canada's Mistral Ventures, Relay Ventures and Generation Capital, as well as U.S. funds Ten Coves Capital and LDV Partners. The Globe and Mail is not identifying the source as they are not authorized to discuss the matter. Blue J was set to announce its financing next Tuesday and only agreed to share details with The Globe on condition it waited to publish the news three hours after a U.S. publication broke the story. The Globe declined. 'At this time, Blue J cannot confirm any details' until Tuesday, spokeswoman Holland Eichorn said in email Friday. The company is one of several legal software firms bringing AI-driven products to law firms to hasten the automation of often tedious, time-consuming legal work. Many have experienced blistering sales growth, sparking massive investor interest. In June, U.S.-based Harvey AI, a legal AI software firm, raised US$300-million in a deal valuing the company at US$5-billion. That was co-led by venture capital giants Kleiner Perkins and Coatue, four months after raising a similar amount at a US$3-billion valuation. And in June, Burnaby, B.C.-based legal software firm Clio paid US$1-billion for Barcelona-based vLex LLC, maker of an artificial intelligence tool that keep lawyers from accidentally citing fake court rulings. Legal data giant Thomson Reuters Corp., whose controlling shareholder, the Thomson family, owns The Globe and Mail, has also been active in developing and buying AI-powered tools to offer clients. Blue J is a University of Toronto spinout led by Benjamin Alarie, the Osler Chair of Business Law with the school's faculty of law, which began developing artificial intelligence-powered software in the mid-2010s. Its original product helped lawyers and accountants speed-up the process of researching complex taxation matters, powered by predictive analytic software. Blue J raised venture capital and its early product sold decently, counting Canada's big four accounting firms and the Canada Revenue Agency as customers. But 'it was OK, it wasn't awesome, it wasn't a home run,' Mr. Alarie said in an interview early this year. After OpenAI launched ChatGPT in late 2022, the conversational AI chatbot that provides text responses to questions in seconds, Mr. Alarie realized his company could fold generative AI capabilities into its product to answer far more tax research questions. Blue J incorporated OpenAI's large language model technology into its product, relaunching it in mid-2023. That effort produced answers in about 90 seconds, but they were wrong about half of the time, a byproduct of the quirky tendency of LLMs to generate 'hallucinations,' or incorrect information. Blue J set about to improve the product, in part by licensing data from Tax Notes, a leading publisher of tax views and commentary, and benefiting from improvements to successive releases of LLMs. By last December, Blue J could produce answers within 10 seconds that were 95 per cent-plus accurate and enabled users to have technical back and forth conversations about complex tax matters with the program. Some firms found their users could save two hours a week each using BlueJ, which retails for $2,995 each year in Canada per user. 'You just need to be able to articulate a technical tax question clearly and you get a ton of value out of Blue J almost immediately, which is a huge selling feature and why things are going so well for us,' Mr. Alarie said in December. By the end of this year, Mr. Alarie has predicted Blue J will be more than 99 per cent accurate. The speed and accuracy of the product spurred interest as legal and accounting firms – from solo practitioners to large enterprises – flocked to the platform. Blue J was boosted by distribution partnerships with the National Association of Tax Professionals in the U.S. and associations representing chartered professional accountants in Canada and the US. Customers include KPMG, Richter LLP and Baker Tilly. By early this year, Blue J was expanding in the UK market. Annual recurring revenues soared, reaching US$2-million by the end of 2023, and US$9-million a year later from the new product. Sales have continued to expand at a fast clip, clocking in at more than $20-million on an annualized basis now, making Blue J a relatively rare company selling software to enterprises to experience strong sales growth amid an ongoing period of economic uncertainty. 'This is really working,' Mr. Alarie said in January. We have really good product-market fit.' Keeping up with constant tax law changes 'is a never-going-away problem.'


Globe and Mail
3 hours ago
- Globe and Mail
Merging AI and Quantum Computing: Here's the Stock to Watch
Key Points With its cutting-edge GPUs, Nvidia is a formidable force in the AI industry. Collaborating with quantum computer developers and Japanese researchers, Nvidia is applying its AI capabilities to advance quantum computing. While Nvidia stock seems pricey, it's a no-brainer option for investors seeking both AI and quantum computing exposure. 10 stocks we like better than Nvidia › Bread is great. Meat -- or the vegetarian filling of your choice -- is great, too. But it was the Earl of Sandwich who married the two in the 1700s to create the sandwich as we know it. The race to integrate artificial intelligence (AI) and quantum computing doesn't require the ingenuity of an English nobleman. Today, tech leaders are racing to incorporate the two technologies to revolutionize computing abilities. While Nvidia (NASDAQ: NVDA) is often recognized as an AI industry stalwart, the company is also helping to advance quantum computing, making it a smart choice for those interested in gaining simultaneous exposure to the two burgeoning industries. The company for all AI seasons It's hard to overestimate Nvidia's position as an AI leader, since it has a hand in the varying niches of the AI field. Nvidia AI Foundry, for example, offers customers an end-to-end platform and service for constructing custom generative AI models, including large language models and AI chatbots. Additionally, Nvidia AI Enterprise provides a cloud-native suite of software tools, libraries, and frameworks. Nvidia's graphic processing units (GPUs) provide the backbone for its AI proficiency. The company's latest GPU architecture, Nvidia Blackwell, is in high demand from data centers, where AI computing occurs. Earlier in July, hyperscaler CoreWeave announced that it was "the first cloud provider to deliver this groundbreaking GPU architecture for AI, graphics, and high-performance computing workloads." Like CoreWeave, hyperscaler peer Nebius is rolling out availability to Blackwell architecture to customers, and the company is, unsurprisingly, extremely enthusiastic. In June, Nebius announced that the Blackwell architecture was now available to customers in Europe. With respect to the United States, Nebius is developing a data center in New Jersey that the company plans on singularly dedicating to Nvidia Blackwell-architecture GPUs. Making the quantum leap Unlike companies such as IonQ and Rigetti Computing, which are building actual quantum computers, Nvidia is taking a different -- though necessary -- tack to advancing the nascent field. For one, Nvidia is building a research center in Boston that will integrate its Nvidia GB200 Grace Blackwell superchip (providing advanced AI computing) with quantum computing hardware. The result will be accelerated quantum supercomputing that Nvidia says "will help solve quantum computing's most challenging problems, ranging from qubit noise to transforming experimental quantum processors into practical devices." A qubit is the basic unit of information in quantum computing. Providing 2,020 of its H100 GPUs interconnected by its Quantum-2 InfiniBand networking platform to Japan's National Institute of Advanced Industrial Science and Technology (AIST), Nvidia is also playing a pivotal role in facilitating progress at the ABC1-Q, the world's largest research supercomputer dedicated to quantum computing. In addition, the system is integrated with Nvidia CUDA-Q, an open-source hybrid computing platform that assists hardware and software to conduct enormous quantum computing applications. Speaking to the collaboration between Nvidia and the AIST, Tim Costa, Nvidia's senior director of computer-aided engineering, quantum and CUDA-X, was quoted as saying: Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all. Nvidia's collaboration with AIST will catalyze progress in areas like quantum error correction and applications development -- crucial for building useful, accelerated quantum supercomputers. Is Nvidia a no-brainer buy today for AI and quantum computing exposure? There are several AI leaders and a handful of quantum computing pioneers, however, Nvidia is one of the very few companies developing technologies for both tech fields. This makes it an obvious consideration for those interested in a single investment that provides exposure to both corners of the tech industry. Taking a quick look at the stock's valuation, investors may conclude that shares are pricey now, trading at roughly 56 times trailing earnings. It's important to recognize, though, that Nvidia's position as a semiconductor and AI powerhouse has led to it commanding a higher valuation -- it's five-year average trailing P/E is 70. Therefore, investors shouldn't dismiss the stock as unattractively valued. And though there may be bumps in the road as these two fields mature, Nvidia is an excellent choice for investors looking to be in position to prosper from the growth of AI and quantum computing. Should you invest $1,000 in Nvidia right now? Before you buy stock in Nvidia, consider this: The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn't one of them. The 10 stocks that made the cut could produce monster returns in the coming years. Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $625,254!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,090,257!* Now, it's worth noting Stock Advisor's total average return is 1,036% — a market-crushing outperformance compared to 181% for the S&P 500. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of July 29, 2025