Curated research and analysis on how AI is transforming industries and roles. Each insight includes actionable takeaways.
Showing 96 of 96 insights
McKinsey's research estimates that generative AI, combined with other technologies, could automate activities accounting for 60-70% of employee time today. Knowledge work, particularly tasks involving decision-making and collaboration, faces significant transformation.
The 2025 World Economic Forum Future of Jobs Report identified graphic design as one of the fastest-declining job categories globally — a dramatic reversal from the prior report, which listed it as 'moderately growing.' Job posting data confirms the trend: computer graphic artist positions fell 33% in 2025 after a 12% decline in 2024, with photography and writing roles following similar patterns.
Advanced AI chatbots and voice agents are handling the majority of routine customer service inquiries. Human agents are increasingly needed only for complex, emotional, or high-stakes interactions.
McKinsey estimates 44% of legal tasks can be automated today, with 22% of a lawyer's job already automatable. Yet Harvard Law School's Center on the Legal Profession found that none of the AmLaw 100 firms interviewed plan to reduce attorney headcount — even as some report 100x productivity gains on specific AI-assisted tasks like document review.
A Citigroup report found that 54% of jobs in banking and finance have a high potential for AI automation, the highest of any industry, with an additional 12% that could be augmented. However, Citigroup itself notes that technology adoption historically creates more roles than it eliminates — the number of human bank tellers actually soared after ATMs were introduced.
MIT and Oak Ridge National Laboratory cataloged 13,000+ AI tools against 32,000 competencies across 923 occupations. They found current AI can perform tasks representing 11.7% of the U.S. labor market — about 151 million worker-equivalents and $1.2 trillion in wages. The visible 'tip' (tech jobs) is only 2.2% of wage exposure; the submerged mass spans administrative, financial, and professional services.
McKinsey Global Institute's November 2025 report found that existing technologies could automate tasks comprising 57% of U.S. work hours. But rather than mass job loss, 70%+ of skills employers seek today are used in both automatable and non-automatable work. The key shift: workers move from producing first drafts to framing questions, validating outputs, and applying judgment.
A joint Brookings and Yale study found that 33 months after ChatGPT's release, less than 5% of workers had switched jobs due to AI. However, they identified 6.1 million workers who face both high AI exposure and low adaptive capacity, concentrated in clerical/admin roles — 86% of whom are women.
The SHRM 2026 Automation/AI Survey finds that 20% of U.S. employment — roughly 31.1 million jobs — now has at least half of its tasks automated. Yet AI's organizational impact is 5.7 times more likely to shift job responsibilities and 3 times more likely to create new roles than to directly displace workers. Industries with the highest dual exposure to automation and GenAI are information services, professional/technical services, and finance.
SHRM's 2026 State of AI in HR report (1,908 HR professionals) finds 67% cite lack of awareness of AI's capabilities as their biggest barrier — bigger than budget or legal risk. Compounding the problem: 57% of HR professionals in states with workforce AI laws don't know those laws exist. AI is 5.7x more likely to shift job responsibilities than eliminate them outright.
Thomson Reuters' 2026 Future of Professionals Report (1,816 professionals across 62 countries) found 74% of legal professionals use AI several times a week, yet 91% say their organizations fall short of AI's potential. Up to $143 billion in U.S. client revenue is at risk for firms lagging on AI execution, and 1-in-3 professionals currently rely on unauthorized 'shadow AI' tools.
A December 2025 global survey of 8,000 consumers (Klaviyo/Datalily, published March 2026) found that when consumers notice AI-generated content in brand marketing, 31% say it makes them trust the brand less — versus only 7% who trust it more. Separately, 52% say they would stop buying from a brand after an inauthentic experience, and 91% expect brands to disclose AI use.
Robert Half's 2026 research found near-universal AI adoption among marketing and creative professionals, with 41% saying AI has freed them for more strategic tasks and 40% reporting enhanced productivity. Despite this, the talent market is tightening: 45% of marketing leaders say finding skilled professionals is harder than a year ago, and 65% plan to expand permanent headcount in H2 2026.
The 2026 Otis College Report on the Creative Economy ('Creative Disruption: AI and California's Creative Economy: 2022–2025') found California lost 14% of creative jobs — 114,000 roles — with film/TV/sound down nearly 30% and traditional media down nearly 34%. Researchers concluded AI has dramatically changed how creative work is done, but the pattern of losses does not support AI as the primary driver of displacement.
In April 2026, the ILO finalized its first tripartite conclusions on AI in manufacturing after five days of talks in Geneva, with experts from 54 countries representing governments, employers, and unions. The conclusions address decent work, safety, skills, and social protection as AI reshapes an industry employing nearly 500 million people globally. Key recommendations include strengthening lifelong learning, updating regulatory frameworks, and reinforcing social dialogue to manage the transition — signaling that AI's manufacturing disruption is now a formal global policy priority.
A Goldman Sachs report published August 19, 2026, analyzing 800+ occupations found AI is measurably slowing job openings growth across major developed economies, with U.S. call center employment 39% below trend, Canada 33%, Germany 27%. Every 10% increase in occupational AI exposure reduces U.S. entry-level annual job growth by more than 0.2 percentage points. AI is estimated to be reducing U.S. monthly payroll growth by ~16,000 net jobs (25,000 eliminated, 9,000 added via augmentation).
The Stanford HAI 2026 AI Index, published April 13, 2026, found that software developer employment for workers aged 22–25 fell nearly 20% from its 2024 peak — the first white-collar job category to show measurable AI-attributable contraction. Meanwhile, developers aged 30+ saw headcount grow 6–12% at the same firms over the same period. The gap is driven by AI code tools absorbing the boilerplate, testing, and scripted work that once defined junior roles, while agentic AI job postings surged 10,854% year-over-year.
Autonomous artificial intelligence agents have already penetrated the offices of large, global enterprises. Now, HoneyBook is trying to bring that same capability to independent businesses with the launch of HoneyBook MCP, recently released as a connector for Anthropic’s AI assistant Claude. The move addresses a real gap. McKinsey’s recent State of AI survey found that […] The post HoneyBook bets on agentic AI to streamline small business operations with its new Claude connector appeared first on AI News.
Azerbaijan’s national energy company set out to digitalize one of its most strategic industrial assets. With bold leadership, deep workforce upskilling, and a rewired approach to digital and operations, SOCAR Carbamide transformed performance—and earned global recognition as a World Economic Forum Digital Lighthouse.
Pope Leo XIV attends the presentation of his first Encyclical Letter "Magnifica humanitas" on May 25, 2026 in Vatican City, Vatican. | Getty Images Pope Leo XIV warned of the risks of AI and unconstrained technological power in his first major papal document released on Monday. Magnifica Humanitas is the pope's manifesto on "safeguarding the human person in the time of artificial intelligence," in which he discusses the dangers of AI-powered warfare, the effects of AI on labor, and the need for new legal and ethical frameworks to govern technology. In his papal encyclical - a kind of open letter from the Catholic Church - Pope Leo stressed the economic and social upheaval that rapid AI adoption is creating, with inadequate protections for individuals that threaten human dignity. He com … Read the full story at The Verge.
Bain & Company has estimated a US$100 billion market in the US for SaaS companies using agentic AI. The firm said the market is tied to automating coordination work in enterprise systems. The estimate comes from the second report in Bain’s five-part series on the software industry in the age of AI. The report examines […] The post Bain sees US$100 billion SaaS market in agentic AI automation appeared first on AI News.
New research shows AI could take on more than half of US working hours—today. What do you need to know to lead a human–agent hybrid team?
In finance, achieving operational automation by integrating agentic AI requires a data-centric foundation to drive real value. Financial infrastructure provider SEI has engaged IBM to modernise its internal operations via AI and automation. The joint initiative focuses on process redesign and targeted system updates to deliver consistent client experiences, building a modern and data-enabled foundation […] The post Agentic AI in finance speeds up operational automation appeared first on AI News.
Many organisations are eroding the foundations of business – productivity, competitiveness, and efficiency. This is happening due to poor implementation of human-AI collaboration, according to cloud data and AI consultancy, Datatonic. The company says in the next phase of enterprise AI, success will come from carefully-governed and designed AI that works alongside humans in “human-in-the-loop […] The post Poor implementation of AI may be behind workforce reduction appeared first on AI News.
The WEF Future of Jobs Report 2025 projects that 40% of existing core skills will be transformed, with analytical thinking, AI/big data skills, and resilience topping the list of growing skills demand.
Research increasingly shows that professionals with a growth mindset — who view AI as a tool to learn rather than a threat — adapt faster, earn more, and report higher job satisfaction during technological transitions.
A 2025 Twinkl survey of 6,500 teachers found that 60% are using AI technologies for work — with 81% saying it saves time on admin, 79% on grading, and 74% on modifying materials for student needs. Yet over 19 in 20 K-12 teachers (95%) report receiving no formal training on AI use in education, creating a massive preparedness gap.
The OECD's December 2025 Skills Outlook found a counterintuitive result: the skills most demanded in occupations highly exposed to AI are not specialized AI skills, but management and business skills — project management, finance, administration, and strategic planning. Current training supply may be insufficient to meet even basic AI literacy needs.
PwC's 2025 Global AI Jobs Barometer found that employer demand for formal degrees is declining most sharply in AI-exposed occupations. The share of AI-automated jobs requiring a degree dropped 9 percentage points (53% to 44%) from 2019–2024, while AI-augmented roles fell 7 points (66% to 59%). Separately, 66% of enterprises report reducing entry-level hiring as AI adoption rises, per an IDC survey of 5,500 business leaders.
Deloitte's Government Trends 2025 report found that only 17% of government leaders believe their organization has high AI expertise, compared to 32-56% in private-sector industries. Just 1% of government leaders say more than 60% of their workforce has access to gen AI tools. Yet where AI is deployed, results are striking: the U.S. Treasury's AI-powered 'Do Not Pay' service recovered $4 billion in improper payments in 2024 — 5x more than the prior year — and Australia's pilot saved employees an average of 1 hour per day.
TechSoup's 2025 AI Benchmark Report, surveying over 1,300 nonprofit professionals, found that 85.6% of nonprofits are exploring AI tools, yet only 24% have a formal AI strategy. Smaller nonprofits (budgets under $1M) adopt AI at roughly half the rate (34%) of larger peers (66%), and 43% of all nonprofits rely on just 1-2 staff members for all AI and IT decisions. Grant writing (24.6%) and content marketing (33%) are the most common applications, while advanced uses like predictive analytics remain largely untapped at 12.8%.
Deloitte's 2026 Manufacturing Industry Outlook, based on a survey of 600+ manufacturing executives, found that the top concern for over a third was equipping workers with skills to maximize smart manufacturing and AI. Separately, Deloitte and the Manufacturing Institute project U.S. manufacturers may need 3.8 million new workers by 2033, with up to 1.9 million jobs potentially left unfilled due to skills and applicant gaps.
Deloitte's 2026 Global Human Capital Trends report (9,000+ leaders, 89 countries) reveals a stark execution gap: 85% of business leaders call workforce adaptability critical, yet only 7% say they're leading in it. Only 6% report making progress on designing human-AI work interactions. Organizations taking a technology-first AI approach are 1.6x more likely to fall short of expected returns.
The AMA's 2026 State of Marketing Careers Report (1,412 practitioners) finds U.S. marketing job postings fell 8%+ in 2025 and remain 27% below March 2020 levels. AI mentions in job postings nearly doubled in 2025 (8% to 15%). Critically, marketers are rating adaptability, critical thinking, and collaboration as less important—the very skills AI cannot replicate.
Reports from Google, Meta, and other tech giants reveal that AI tools now generate a significant portion of new code, with developer productivity gains of 25-45% on routine tasks.
The FDA authorized a record 258 AI medical devices in 2025, bringing the total to 1,356. Radiology accounts for 77% of all approved AI devices, with over 1,039 cleared for imaging applications including cancer detection, stroke triage, and automated report drafting.
Healthcare organizations deploying AI scribes report a 69.5% reduction in documentation time in laboratory settings and an average of 3 hours saved per week per clinician. With nurses spending 15-20 minutes every hour on admin tasks, AI-driven documentation is delivering $3.20 ROI for every $1 invested, typically within 14 months.
A June 2025 Harvard study published in Scientific Reports found that physics students using a custom GPT-4 AI tutor learned more than twice as much as students in traditional active-learning classrooms, while requiring less time (49 minutes vs. 60 minutes). The results were statistically significant at p < 10^-8, and students reported higher engagement and motivation.
Redwood Software's Manufacturing AI and Automation Outlook 2026 found that 98% of manufacturers are exploring or considering AI-driven automation, yet only 20% feel fully prepared for scale deployment. The TCS/AWS Future-Ready Manufacturing Study confirms that while 75% expect AI to become a top-three margin driver by 2026, only 21% have the data infrastructure to support it.
The TCS/AWS study of 216 senior manufacturing leaders found that nearly three-fourths anticipate AI agents managing up to half of routine production decisions within three years. Already, 67% report improved real-time supply chain visibility from AI, and Deloitte's 2025 survey of 600 manufacturing executives shows 80% plan to invest 20% or more of improvement budgets in smart manufacturing.
The Reuters Institute's 2025 survey found that 73% of global news organizations have adopted AI, with 97% considering back-end automation important and 82% prioritizing AI for newsgathering. Yet only 13% describe AI's impact as transformational, 44% say 'promising,' and 42% call it 'limited.' Two-thirds (67%) report zero job reductions from AI so far.
Deloitte's 2026 enterprise survey of 3,235 leaders across 24 countries found that companies expanded workforce AI access by 50% in one year — from under 40% to ~60% of workers. Yet fewer than 60% of those with access use AI daily, a figure unchanged from last year. The top barrier is insufficient worker skills.
Gartner predicts that 40% of enterprise applications will feature task-specific AI agents by end of 2026, an 8x increase from less than 5% in 2025. However, Gartner also predicts over 40% of agentic AI projects will be scrapped by 2027 — not because models fail, but because organizations layer agents onto old workflows instead of redesigning work.
McKinsey's global managing partner revealed at CES 2026 that the firm operates 25,000 personalized AI agents alongside its 40,000 human employees, with equal numbers expected by end of 2026. The firm's 'AI-first' restructuring — dubbed the '25 squared' approach — grew client-facing roles by 25% while shrinking non-client-facing roles by 25%, saving 1.5 million hours of search and synthesis work in one year alone.
A GAO review of 11 federal agencies found total reported AI use cases nearly doubled from 571 in 2023 to 1,110 in 2024, a 94% increase. Generative AI use cases specifically surged nine-fold, from 32 to 282. However, 61% of generative AI deployments focus on internal mission-enabling functions like document processing and records management, and most remain in initiated or preliminary stages rather than full deployment.
The OECD analyzed 200 real-world AI use cases across 11 core government functions in member countries and found that roughly 60% remain in pilot or proof-of-concept stages, failing to scale to full deployment. Generative AI remains 'still rare' in government — the vast majority rely on classic rules-based or machine learning approaches. The Alan Turing Institute estimates AI could automate up to 84% of repetitive public service transactions, saving the equivalent of 1,200 person-years of work annually.
Cisco's 2026 State of Industrial AI Report (1,000+ OT decision-makers, 19 countries) finds 61% of industrial organizations are deploying AI in live operations with physical consequences, and 20% have reached scaled, mature deployments. Top use cases are process automation, automated quality inspection, and predictive maintenance. 83% plan to increase AI spending and 87% expect meaningful outcomes within two years.
Deloitte's June 2026 survey of 121 senior legal leaders found 61% of legal departments are now in active AI deployment. AI agents are projected to handle 30% of in-house legal work within 3–5 years, while hourly billing is expected to fall from 72% to 44% of law firm revenue. External legal spend could drop 20–40% as in-house teams insource AI-enabled work.
The Thomson Reuters Institute's 2026 AI in Professional Services Report found enterprise-wide GenAI use in law jumped from 14% in early 2024 to 43% by 2026. Corporate legal GenAI use rose from 23% to 47% year-over-year. Critically, 32% of in-house legal professionals are already reconsidering outside counsel relationships with firms that don't demonstrate AI-enabled value within 12 months—creating competitive urgency across the profession.
A May 2026 Forrester report found AI agents are already handling the majority of inquiries at major firms, and predicts 49% of current CS jobs will disappear by 2030. Human roles will shift from answering customers to directing, governing, and optimizing AI agents. High-volume B2C contact centers face the steepest cuts, with one modeled firm shrinking from 1,000 reps to just 40 in four years.
The United Arab Emirates (UAE) has been early in adopting artificial intelligence for 9 years. It published a national AI strategy in October 2017 and, days later, created a ministerial post to run it, making Omar Sultan Al Olama the world’s first minister of state for artificial intelligence at 27. In the years since, it […] The post Agentic AI in government just hit the hard part: deciding what a machine may decide appeared first on AI News.
Novo Nordisk is expanding its use of AWS artificial intelligence tools across drug discovery, including AI agents for target identification, therapy design, and research workflows. Under the agreement announced recently, AWS will become Novo Nordisk’s preferred cloud provider and strategic AI partner. The companies have also created a co-innovation hub at Novo Nordisk’s existing London […] The post Novo Nordisk and AWS bring agentic AI into drug discovery appeared first on AI News.
Agentic AI is reshaping global business services, but realizing its potential will require leaders to rethink workflows, talent, and operating models.
To avoid being a bottleneck, they need to change how they work, give feedback, and communicate.
With half of US organizations in our survey now implementing gen AI, the focus is turning to integration, ROI, and agentic AI to realize value across healthcare domains.
According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across recruiting, payroll, workforce administration, and talent development. Behind the user interface, these […] The post SAP brings agentic AI to human capital management appeared first on AI News.
Exciting times are ahead in the world of enterprise perimeter security with a new partnership between Thrive Logic, an AI agent-driven security and operational intelligence platform, and Asylon, a security robotics company. Together, the companies are to introduce physical AI into the network edge security arena, combining “autonomous perimeter patrols with agentic AI analytics and […] The post Asylon and Thrive Logic bring physical AI to enterprise perimeter security appeared first on AI News.
CIOs are re-building their teams for the agentic AI age. This requires rethinking how to hire, build internal capabilities, and negotiate vendor strategies to speed innovation.
Banks are testing a new type of artificial intelligence, like agentic AI, that does more than scan for keywords or follow preset rules. Instead of relying only on static alerts, some trading desks are beginning to use systems designed to reason through patterns in real time and flag conduct that may need human review. Bloomberg […] The post Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance appeared first on AI News.
Salesforce on Tuesday launched an entirely rebuilt version of Slackbot, the company's workplace assistant, transforming it from a simple notification tool into what executives describe as a fully powered AI agent capable of searching enterprise data, drafting documents, and taking action on behalf of employees. The new Slackbot, now generally available to Business+ and Enterprise+ customers, is Salesforce's most aggressive move yet to position Slack at the center of the emerging "agentic AI" movement — where software agents work alongside humans to complete complex tasks. The launch comes as Salesforce attempts to convince investors that artificial intelligence will bolster its products rather than render them obsolete. "Slackbot isn't just another copilot or AI assistant," said Parker Harris, Salesforce co-founder and Slack's chief technology officer, in an exclusive interview with Salesforce. "It's the front door to the agentic enterprise, powered by Salesforce." From tricycle to Por
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