Research · Use cases
Where AI is already doing the work.
Deployments, surveys, filings and case studies, by industry and workflow. Each one links to its source.
| Use case | Organisation | Industry | Workflow | Evidence | Date | Source |
|---|---|---|---|---|---|---|
| Indian AI investors see froth in valuationsSurvey in Inc42's Q3 analysis; Indian AI funding was $438M across 35 deals in Q3 2026, up 265% YoY. Result: ~63% see some froth in Indian AI valuations; vertical AI applications seen as top value-capture segment (39%). | Inc42 investor survey (85+ institutional investors) | – | – | Survey | 2026-10-09 | Source ↗ |
| Humlum and Vestergaard: employer tools and training lift use to 93%Time savings are self-reported; study finds no earnings or hours effect still. Brookings summary of the Danish study; page opened. Result: Where employers encourage use and provide tools and training, 93% of workers used chatbots and 19% report saving over an hour a day vs ~41% use with no employer action; 39% of workers in encouraging workplaces had training. | Brookings (Humlum and Vestergaard) | – | Learning & performance | Study | 2026-10-06 | Source ↗ |
| Vietnam business AI adoption rises to 26%AWS-commissioned study by Strand Partners surveying 1,000 business leaders and 1,000 members of the public in Vietnam, as reported by Viet Nam News on 1 Oct 2026 and VietnamPlus on 6 Oct 2026. Primary AWS page not found; fieldwork dates not published. Result: 26% of businesses (about 245,000), up from 18% in 2025. | AWS / Strand Partners (Vietnam) | – | – | Survey | 2026-10-01 | Source ↗ |
| Vietnam financial services leads AI adoptionSector cut of the AWS/Strand Vietnam study. Result: Financial services adoption 41% vs 26% across all sectors; 79% of adopters reported productivity gains; healthcare adoption 23%. | AWS / Strand Partners (Vietnam) | Banking & financial services | – | Survey | 2026-10-01 | Source ↗ |
| Vietnam agentic AI awareness and useAgentic AI cut of the AWS/Strand Vietnam study. Result: 38% aware of agentic AI; 8% embedded agents in core workflows; 19% experimenting or piloting; 81% of agentic AI users reported productivity gains. | AWS / Strand Partners (Vietnam) | – | – | Survey | 2026-10-01 | Source ↗ |
| Vietnam skills gap constrains AI scale-upSkills and training findings from the AWS/Strand Vietnam study. Relevant to executive education demand. Result: 54% cite digital/AI skills shortages as a barrier; 87% of employers say reskilling is important; 26% of employees trained in past year (19% in 2025). | AWS / Strand Partners (Vietnam) | Education | Learning & performance | Survey | 2026-10-01 | Source ↗ |
| Techcom Securities rolls out Kiro agentic IDETCBS deployed AWS's Kiro agentic development environment, as reported in Viet Nam News coverage of the AWS Vietnam report launch. Results are as reported alongside the AWS release. Result: Over 460 employees use Kiro; development time cut by nearly 25%; 70% of AI-generated code passed first-round reviews. | Techcom Securities (TCBS), Vietnam | Banking & financial services | Software engineering | Deployment | 2026-10-01 | Source ↗ |
| OmiKG chronic disease research toolAI-powered chronic disease research tool built on AWS; result as reported in the AWS Vietnam launch coverage. Result: Identified 15 of 17 molecular mechanisms linked to Type-2 diabetes, versus one each for two alternative AI approaches. | OmiGroup (Vietnam) | Healthcare & life sciences | Discovery & R&D | Case study | 2026-10-01 | Source ↗ |
| NoteX voice translation with local data residencyNoteX voice translation platform on AWS (Bedrock and SageMaker), as reported by Viet Nam News; vendor-reported. Result: 30% reduction in AI processing costs and latency; over one million users across Vietnam and 20+ countries in first year. | NoteX (Vietnam) | Software & IT services | – | Deployment | 2026-10-01 | Source ↗ |
| Diaflow enterprise AI agent orchestrationEnterprise AI agent orchestration service built on Amazon Bedrock, as reported in Viet Nam News. Result: Over 40,000 users (75% in the US); more than 100 million AI tasks executed. | Diaflow (Vietnam) | Software & IT services | – | Deployment | 2026-10-01 | Source ↗ |
| Vietnam AI adopters: 13% have a consistent ROI framework, 46% cannot measure returnsRe-verified wording via Vietnam News (1 Oct 2026) and VietnamPlus/VNA (6 Oct 2026); 1,000 business leaders and 1,000 public. Fieldwork dates not published in any copy seen. AWS-commissioned, self-reported by respondents. Primary AWS/Strand page not found by search. Result: Of adopters: 61% still experimenting; 71% broke even or better; 23% formal AI strategy; 13% clearly defined, consistently applied ROI framework; 46% lack reliable way to measure returns. | AWS / Strand Partners (Vietnam) | – | – | Survey | 2026-10-01 | Source ↗ |
| Globe Telecom reports 2.8x return on AI investments, PHP1.2bn measurable benefitCompany-reported via TelecomTV. Investment base and calculation method not disclosed in the article, so the 2.8x cannot be checked. One of few Asian firms publicly reporting a financial AI return. Result: PHP1.2bn ($19.2m) measurable benefit as of Aug 2026; >PHP825m incremental revenue; PHP368m cost avoidance; 2.8x return. | Globe Telecom (Philippines) | Telecom & media | – | Deployment | 2026-09-30 | Source ↗ |
| Agoda survey: 63% of Vietnamese developers save 7+ hours a week with AISurvey of 800+ developers and engineering leaders, fieldwork June-Aug 2026, commissioned by Agoda (vendor-commissioned, self-reported time savings). Vietnam News 25 Sep 2026. Result: Vietnam: 63% save 7+ hrs/week, 43% save 10+; all markets 55% save 7+ hrs (18% in 2025); 79% require human approval before deployment. | Agoda / Macrame Consulting (7 Asian markets) | Software & IT services | Software engineering | Survey | 2026-09-25 | Source ↗ |
| KPMG Q3 2026 pulse: nearly 6 in 10 large US firms report measurable AI valueSelf-reported survey by an advisory firm; primary KPMG page opened. Exact share behind 'nearly 6 in 10' not given. Result: Nearly 6 in 10 leaders report measurable business value; value cited: productivity 55%, faster decisions 49%, customer and employee experience 38%, financial performance 37% (n=314 C-suite at $1B+ US firms, fielded 24 Jul-25 Aug 2026). | KPMG | – | – | Survey | 2026-09-24 | Source ↗ |
| KPMG Q3 2026: 62% building agents but only 30% build controls into themSelf-reported (n=314, $1B+ US firms); primary page opened. Result: 62% building or deploying agents (53% prior quarter); multi-agent 25% (6%); significant workforce adoption 44% (23% last quarter, 10% a year ago); agent controls built in 30% vs 43% two quarters earlier; 74% include cost reviews in AI approvals; 43% use token budgets. | KPMG | – | – | Survey | 2026-09-24 | Source ↗ |
| KPMG Q3 2026 banking: 65% report measurable value; data readiness top agent barrier at 80%Self-reported sector cut fielded 10 Aug-14 Sep 2026; primary page opened. Result: Banking n=100 ($1B+ US): 65% report measurable value (productivity and efficiency 97%, financial 67%); 80% cite data readiness and access as the top barrier to agents (63% prior quarter); 75% bar agents from sensitive data without human oversight (51%). | KPMG | Banking & financial services | – | Survey | 2026-09-24 | Source ↗ |
| KPMG Q3 2026 asset management and PE: average realised AI value $179MSelf-reported dollar values from large firms, no method or baseline given; primary page opened. Why pilots fell is not explained in the source. Result: Asset management and private equity n=100: 81% report measurable value; average financial value realised $179M and 47% report over $100M; agent deployment 30% (19% in Q2); agent pilots 34% (52% in Q2); 98% upskilling. | KPMG | Banking & financial services | – | Survey | 2026-09-24 | Source ↗ |
| Sony Bank and Fujitsu: Claude-based agent cuts core-banking development period 30%, man-hours 40%Company-reported in joint Sony Bank/Fujitsu release; measured vs conventional methods as of July 2026, live production work. No independent verification or method disclosed; 'up to' figures are best cases. Result: Development period -30%; man-hours -40%; impact assessment up to -90%; integration test execution up to -90%; code generation rate 99%. | Sony Bank / Fujitsu (Japan) | Banking & financial services | Software engineering | Deployment | 2026-09-14 | Source ↗ |
| Tennessee RCT of AI maths tutor: no significant delayed-test gain overallMeasured randomised trial, primary PDF opened. One-week practice and one-week delayed test only. Result: 6,997 grade 6-8 students in 20 Hamilton County schools, practice week 23-27 Mar 2026: no significant effect on the combined delayed score; in the mastery arm AI students scored 40.2% vs 37.0% on a practised exercise (+3.1 points, p about 0.065, only suggestive). | Oreopoulos Liut Sungu Low (EdWorkingPaper 26-1552) | Education | Teaching & tutoring | Study | 2026-08-17 | Source ↗ |
| Southeast Asia AI startup funding concentrated in few roundsRegional benchmark as of July 2026: funding is dominated by Singapore-linked late-stage rounds; Vietnam, Malaysia, Indonesia and Thailand are small. Result: 2026 YTD $4.1B across 23 disclosed equity rounds; Kling AI about 68% of total; historical Vietnam AI funding $19M. | Tracxn data via Crowdfund Insider | – | – | Benchmark | 2026-08-15 | Source ↗ |
| Bank of England staff: AI-exposed job vacancies down 15% in three years; IT productivity contribution upsecondary: trade article on two BoE staff blog posts; the posts were not opened and the article names no dataset (not confirmed to be the Decision Maker Panel). Observational association, not causal. Governor Bailey expects a J-curve. Result: Vacancies in most AI-exposed occupations -15% over three years (medium exposure -10%, low -6%; customer service and admin more than -20%); software and IT consulting contribution to annual productivity growth up tenfold vs pre-Covid decade to 0.1 percentage points in 2023-25. | Bank of England staff (reported by Staffing Industry Analysts citing Bloomberg) | – | – | Study | 2026-08-07 | Source ↗ |
| Forrester: 55% of employers regret AI-attributed layoffssecondary: reported by People Matters and The Next Web (2026-08-23); sample size not reported by either. Result: 55% of employers regret laying off workers for AI; Forrester expects half of AI-attributed layoffs to be quietly reversed (Predictions 2026). | Forrester (reported by People Matters) | – | Recruiting | Survey | 2026-07-31 | Source ↗ |
| Gartner: half of firms that cut service headcount for AI will rehire by 2027secondary: reported by People Matters 2026-07-31; I did not open the Gartner release so its date, wording and sample are unconfirmed; forecast not observed. Result: Gartner projects half of companies that cut customer service headcount due to AI will need to rehire for similar functions by 2027. | Gartner (reported by People Matters) | – | Customer support | Survey | 2026-07-31 | Source ↗ |
| St. Louis Fed: AI is 15% of earnings-call productivity talk, 95% of it about future gainsMeasured text analysis (LLM classifier on sentences) of what executives say, not of realised productivity; primary page opened; no firms named. Useful as evidence that call rhetoric runs ahead of reported results. Result: About 490,000 S&P Global earnings-call transcripts for 5,198 US listed firms 2000-2025: AI reached roughly 15% of productivity sentences by end-2025; 95% of AI productivity sentences refer to future gains vs about three-quarters of non-AI ones; 95% say productivity is rising. | Federal Reserve Bank of St. Louis (Ozkan Kalyani Sullivan) | – | – | Benchmark | 2026-07-31 | Source ↗ |
| DBS digibot resolves nine in ten queries digitally; corporate assistant cuts calls and emails 7%Self-reported in DBS press release (republished by The Asian Banker). No handling-time or cost saving stated; the 7% is volume of calls/emails, not time. Result: digibot: 9 in 10 queries resolved without follow-up call (H1 2026); DBS Joy: calls/emails down 7%, satisfaction up 17%, 10M+ users. | DBS Bank (Singapore) | Banking & financial services | Customer support | Deployment | 2026-07-28 | Source ↗ |
| Bank of America Q2 2026 call: 200000 staff use AI, 300+ use cases, 34 fully implementedsecondary: CIO Dive summary of Q2 2026 earnings-call remarks (calls believed 14-15 July; the article, dated 20 July, gives only weekdays). Transcript not opened. Company-reported usage counts, not cost or headcount results. Result: 200,000+ employees use AI-enabled tools; 400,000+ prompts a day; 300+ approved AI use cases, 114 of them generative; 34 fully implemented; CFO says manual work reduced, no savings figure. | Bank of America (reported by CIO Dive) | Banking & financial services | – | Filing | 2026-07-20 | Source ↗ |
| JPMorgan Q2 2026 call: nearly 1000 live AI use cases, Dimon expects no near-term margin liftsecondary: CIO Dive summary of earnings-call remarks; transcript not opened. Company-reported; no savings figure. Result: Nearly 1,000 live AI use cases across risk, fraud, marketing and document reading; Dimon says AI is expensive, he does not expect it to lift margins soon and customers will be the main beneficiaries ('You don't uniquely benefit from AI'). | JPMorgan Chase (reported by CIO Dive) | Banking & financial services | – | Filing | 2026-07-20 | Source ↗ |
| Citi, BNY and Wells Fargo Q2 2026 calls: adoption claims but no cost or headcount figuressecondary: CIO Dive summary; transcripts not opened. Shows that even in 2026 bank disclosures are usage counts, not P&L effect. Result: Citi: nearly 9 in 10 employees use its AI tools; BNY and Wells Fargo gave no quantified results (Wells launched an 'AI Teammate' for advisers); across the five banks the article reports no headcount reduction, cost saving or productivity percentage. | Citigroup; BNY; Wells Fargo (reported by CIO Dive) | Banking & financial services | – | Filing | 2026-07-20 | Source ↗ |
| Thryv SMB survey: 66% adopt AI and 70% say it raised revenue (vendor survey)secondary and vendor-run: Thryv sells an AI marketing platform; respondents were from a third-party panel, mostly $1M-1.9M revenue firms. Self-reported with no baseline; compare Census BTOS (about 20%) and DSIT (16%) for how definitions and samples change the headline. Result: 561 US SMB decision-makers surveyed April 2026: AI adoption 66% (55% a year earlier); 70% say AI increased revenue, 55% say it cut costs; 92% of users say it saves time; 53% spend at least $100 a month. | Thryv (reported by Chain Store Age) | – | – | Survey | 2026-07-13 | Source ↗ |
| Thryv SMB survey: 70% need more AI training; 46% would choose AI over a new hiresecondary and vendor-run survey, self-reported (n=561 US SMBs, April 2026). Result: 70% say they need more training to use AI effectively; 57% rely mainly on YouTube and social media to learn; 46% would pick AI software over hiring for equally capable work (38% in 2025). | Thryv (reported by Chain Store Age) | – | Learning & performance | Survey | 2026-07-13 | Source ↗ |
| HMRC Copilot trial: self-reported 2-3% of working week saved, after a 20% haircutPrimary gov.uk page opened. Time saving is self-reported; Viva usage data and task exercise gave no time results on the page. The up-to-£50M analyst estimate is unclear on timing and is not used as a metric. Result: 3,000 randomly allocated licences, Sep-Dec 2024: self-reported saving of 2-3% of the week (about 60 minutes) after cutting about 20% for non-users and response bias; 83% used the licence; satisfaction 7.1/10; 1,364 survey responses (45%). | HMRC (Phase 3 Copilot evaluation) | Public sector | – | Study | 2026-07-09 | Source ↗ |
| E-commerce RCTs: AI pre-sale chatbot lifts sales 16.3% and conversion 21.7%Measured randomised field experiments, primary arXiv page opened; platform not named. Top-line sales only: labour cost, ROI and profit not measured; short horizon; workflows chosen by managers. Result: Pre-sale service chatbot: sales +16.3% and conversion +21.7% vs control (44,614 consumers); part of seven randomised field experiments Sep 2023-Jun 2024 on a cross-border e-commerce platform of mostly small sellers. | Fang Yuan Zhang Donati Sarvary (arXiv; MSI) | Retail & e-commerce | Customer support | Study | 2026-06-30 | Source ↗ |
| E-commerce RCTs: AI product descriptions +2.1% sales but AI ad titles -4.5% (not significant)Measured randomised field experiments (primary page); the aggregate assumes linear additivity and covers top-line sales only, with no cost or ROI. Returns fell 3.9% for descriptions and 11.4% for push messages. Result: Product descriptions sales +2.1% (4.77M consumers); search query refinement +2.9%; push messages +1.6% (not significant, ~40% exposed); Google ad titles -4.5% (not significant, un-tuned model); summed gain about $4.63-5.18 per consumer a year, 5.5-6.2% of per-user revenue growth. | Fang Yuan Zhang Donati Sarvary (arXiv; MSI) | Retail & e-commerce | Marketing content | Study | 2026-06-30 | Source ↗ |
| KPMG Q2 2026 technology leaders: data readiness 75% and oversight skills 67% block agentsSelf-reported; primary PDF opened but chart labels were ambiguous so deployment-stage percentages and the spend figure ($294M vs $269M conflict) were not used. Result: Technology sector n=100 ($1B+ US, fielded 4 May-2 Jun 2026): barriers to agent deployment data readiness and access 75%, human oversight skills 67%, system complexity 31%, workforce resistance 30%; employee adoption of agents 68%. | KPMG | Software & IT services | – | Survey | 2026-06 | Source ↗ |
| Census BTOS May 2026: nearly 20% of US firms use AI; gap is by sizesecondary: local-news write-up of a Census report dated 26 May by Grundy, Breaux and Khatiwoda; the Census report itself was not opened. Article dated 2026-09-02. Measured official survey but Nov 2025 question widened to 'any business function', so earlier figures are not comparable. Result: Nearly 20% of US businesses used AI as of early May 2026 (range 17-20% from 14 Dec 2025 to 3 May 2026); 20-23% expect to within six months; 250+ employees 37%, 100-249 employees 32%; use rose at firms with 20+ employees but not significantly below 20; a later Fed analysis put 250+ at 38.5% and 1-4 employees at 19.8% (14 June). | US Census Bureau (reported by Princeton Info) | – | – | Benchmark | 2026-05-26 | Source ↗ |
| Census BTOS May 2026: retail AI use about 14%, below information and financesecondary (same article and caveats as the national BTOS row); underlying Census report not opened. Measured official survey of use, not of results. Result: Retail about 14% using AI and about 17% expecting to within six months; information 39.7% and finance and insurance 33.9% (as of 3 May 2026). | US Census Bureau (reported by Princeton Info) | Retail & e-commerce | – | Benchmark | 2026-05-26 | Source ↗ |
| HDBank automates six processes with FPT akaBot: '70% processing time saved'Vendor-reported customer story on FPT IS site (akaBot is an FPT IS product). Body gives no baseline or accuracy number. RPA rather than generative AI. Page date is a last-updated stamp. Result: Headline claim: 70% processing time saved; 6 processes automated. | HDBank (Vietnam) | Banking & financial services | – | Case study | 2026-05-22 | Source ↗ |
| Techcombank AI agent platform: agent build time from ~8 months to under a weekSelf-reported by Techcombank CTO Tran Hoang Quan to The Asian Banker. Business-analyst agent accuracy ~70% and 20-30% of its work still needs human input. Quality-engineering saving of 20% is a target, not an achieved result. Article notes cost-to-income fell 32.7% to 30.8% in 2025 but does not attribute it to AI. Result: Agent build time ~8 months to <1 week; BA turnaround ~3 days vs 10; conservative productivity uplift 15-20%; ~1,000 hours saved (~5.6 virtual FTE). | Techcombank (Vietnam) | Banking & financial services | Software engineering | Deployment | 2026-05-21 | Source ↗ |
| Gartner CPO survey: only 36% very confident to redesign procurement for AISelf-reported analyst survey, primary Gartner release opened. No size of the individual-to-team drop and no adoption rate are given. Result: 36% of 101 chief procurement officers are 'very confident' they can redesign roles and processes for AI (fielded Jan-Feb 2026); GenAI gains for individuals shrink at team-output level, which Gartner calls the 'AI productivity paradox'. | Gartner | – | Procurement | Survey | 2026-05-19 | Source ↗ |
| Kasikornbank enterprise-wide GenAI productivity programmeEnterprise-wide generative AI programme pairing secure tools with training, governance and dedicated support staff; won Best AI Talent and Workforce Enablement Initiative in Asia Pacific (The Asian Banker). No quantified results stated. Result: Covers 22 divisions. | Kasikornbank (Thailand) | Banking & financial services | Learning & performance | Deployment | 2026-05-14 | Source ↗ |
| Census BTOS: AI-using firms rate their performance higher (association only)secondary: trade-site article citing a BTOS data release it dates 23 April 2026 (page date 30 April); the Census release was not opened. Self-rated performance weighted by employment, correlation not causation; the site's 'pays back in a week' claim is the author's, not Census data. Result: Share of employment at firms rating current performance 'excellent': 23.1% for AI users vs 13.8% for non-users; 17.3% of firms using AI in late 2025; 62.0% vs 41.2% rating expected future performance above average or excellent. | US Census Bureau (reported by SelfEmployed.com) | – | – | Benchmark | 2026-04-30 | Source ↗ |
| Stanford AI Index 2026: measured productivity gains 14-26% in software and supportsecondary: Siemens blog summary of the AI Index; underlying studies not named on that page, so check against the Stanford report before citing. (Also relevant to workflow: software-engineering.) Result: Measured productivity gains of 14% to 26% in software development and customer support; weaker or negative in tasks needing more judgment. | Stanford HAI (reported by Siemens Xcelerator Community) | Software & IT services | Customer support | Benchmark | 2026-04-23 | Source ↗ |
| Stanford AI Index 2026: agent task success 12% to ~66% but deployment in single digitssecondary: Siemens blog summary; benchmark names not given on that page. Result: Agent success on real computer environments rose from 12% to ~66% in a year; agents fail about 1 in 3 structured tasks; agent deployment in single digits across nearly all business functions. | Stanford HAI (reported by Siemens Xcelerator Community) | – | – | Benchmark | 2026-04-23 | Source ↗ |
| VinUniversity report on Vietnamese business AI useReport of 100+ industry professionals, cited by TechRepublic. Methodology differs from the AWS study, so figures are not directly comparable. Result: 77% of surveyed businesses used AI in specific functions; 56% planned to raise spending. | VinUniversity | – | – | Survey | 2026-04 | Source ↗ |
| Stanford AI Index 2026: organisational AI use reached 88%Compiled from third-party surveys (largely McKinsey). Exact release day not on the page I opened; month taken from secondary coverage dated April 2026. Primary Stanford chapter opened. Result: Organisational AI use rose from 55% (2023) to 88% (2025); Europe 91%, North America 90%; 32% of organisations expect AI-related workforce decreases next year. | Stanford HAI | – | – | Benchmark | 2026-04 | Source ↗ |
| Stanford AI Index 2026: entry-level software and support headcount fallingObservational labour data compiled by Stanford; not proof AI is the cause. Month from secondary coverage. Primary chapter opened. (Also relevant to workflow: software-engineering.) Result: 2021-2025: headcount of software developers and customer support agents aged 22-25 fell while most older age groups grew. | Stanford HAI | Software & IT services | Customer support | Benchmark | 2026-04 | Source ↗ |
| ECB: 38% of euro-area firms at advanced AI adoption; heavy users expect more hiringExpectations not realised outcomes; respondent count not stated. Primary ECB Economic Bulletin box opened. Result: 38% of euro-area firms at advanced stage and 33% early stage; significant AI users expect 2.8% employment growth vs 0.6% for non-users (SAFE survey Q4 2025). | European Central Bank | – | – | Survey | 2026-03-31 | Source ↗ |
| Atlanta Fed et al.: over 80% of firms report no AI impact on employment or productivitySelf-reported executive survey in an Atlanta Fed working paper (WP 2026-3); central-bank-affiliated primary page opened. Number of firms not stated. Result: Over 80% of firms report no impact of AI on employment or productivity over the last 3 years; ~70% actively use AI; firms expect +1.4% productivity and -0.7% employment over next 3 years (~6,000 executives in US UK Germany Australia). | Federal Reserve Bank of Atlanta with Bank of England Bundesbank and Stanford (Yotzov Bloom et al.) | – | – | Survey | 2026-03-24 | Source ↗ |
| Atlanta Fed et al.: executives use AI only 1.5 hours a week on averageSelf-reported; relevant to leadership ownership. Primary working-paper page opened. Result: Over two-thirds of top executives use AI regularly but average 1.5 hours per week; one quarter report no use (~6,000 executives). | Federal Reserve Bank of Atlanta with Bank of England Bundesbank and Stanford | – | – | Survey | 2026-03-24 | Source ↗ |
| FPT: AI handles about 70% of common inquiries; productivity per employee 'tripled'VNA report via Bao Tay Ninh; company claim, no before/after cost or time figures and no stated baseline for the tripling. Useful as an example of an unmeasured headline claim. Result: ~70% of common inquiries handled by AI; labour productivity per employee 'tripled' (no baseline). | FPT Corporation (Vietnam) | Software & IT services | Customer support | Deployment | 2026-03-20 | Source ↗ |
| Deloitte 2026 life sciences and health care: 28% moved 40%+ of experiments to productionSelf-reported sector cut of the Aug-Sep 2025 survey; no ROI figure given. Primary Deloitte PDF opened. Result: 28% moved 40%+ of AI experiments to production; 18% achieving revenue benefits; 89% have not redesigned jobs; only 15% rate talent preparedness high (LSHC n=378). | Deloitte AI Institute | Healthcare & life sciences | – | Survey | 2026-03 | Source ↗ |
| Four-country exec survey: 69% of firms use AI, UK Decision Maker Panel 71%, 89% report no productivity effect yetSelf-reported executive survey, VoxEU column read. Same underlying paper as P3-028/029; added here for the country split, the Bank of England panel detail and the hiring-slowdown finding. Column date not shown, month taken from the working-paper date (24 Mar 2026). Result: 5,000+ CFOs and executives, same questions Nov 2025-Jan 2026: AI use US 78%, UK 71%, Germany 65%, Australia 59% (about 69% overall); 89% of firms report no productivity impact in the last three years (average +0.29%); expect +1.4% productivity over three years; UK follow-up: about two-thirds of expected job reduction is fewer new hires, not layoffs. | Atlanta Fed; Bank of England DMP; Bundesbank; Macquarie University (via CEPR VoxEU) | – | – | Survey | 2026-03 | Source ↗ |
| Telstra half-year: AI claimed to speed software releases about 20%secondary: trade article on Telstra's results; company-reported, no baseline or method. Results themselves not opened. Result: Software production and release schedules about 20% faster; 380 internal AI use cases; agents deployed for multi-step tasks; over 75% of staff with AI tools use them weekly (half-year to 31 Dec 2025). | Telstra (reported by CFOtech Australia) | Telecom & media | Software engineering | Filing | 2026-02-20 | Source ↗ |
| Telstra half-year: AI virtual assistant nearly triples customer self-resolutionsecondary and company-reported; no baseline percentage given for the tripling. Result: AI Virtual Assistant (launched Nov 2025) nearly tripled the share of customers resolving enquiries themselves; 86% of consumer service interactions completed through digital self-service. | Telstra (reported by CFOtech Australia) | Telecom & media | Customer support | Filing | 2026-02-20 | Source ↗ |
| Telstra half-year: 2356 roles cut, labour costs down 9%, CEO cannot name a role AI replacedsecondary: company results as reported by one trade outlet; cost fall is real but attribution to AI is not shown. One date inconsistency in the article (Data and AI Academy completions). Result: 2,356 roles cut in calendar 2025, headcount down over 7% to just over 29,000; underlying labour costs -9% (A$181M); underlying operating expenses -A$179M (2.4%); profit +8.1% to A$1.2bn; smaller workforce linked to AI by 2030 with no number; CEO said she could not point to a specific role AI directly replaced; Telstra denies AI drove a 550-role cut announced July 2025. | Telstra (reported by CFOtech Australia) | Telecom & media | – | Filing | 2026-02-20 | Source ↗ |
| McKinsey/EDB/Tech in Asia: 46% of ASEAN firms scaling AI but 60% see under 5% EBIT impactPrimary-page figures from EDB site and Straits Times coverage: 330 senior leaders, survey July-Aug 2025. Replaces the draft figure of 67% under 5% EBIT and an '8% full-scale' number, neither of which appears in the primary sources checked. Executive survey, self-reported. Result: 46% past pilots to scaling (35% global); 60% report <5% EBIT impact; a further 18% report no financial impact. | McKinsey & Company / Singapore EDB / Tech in Asia | – | – | Survey | 2026-02-11 | Source ↗ |
| BNY: 134 digital employees alongside ~48100 staff and 10-hour trainingsecondary: InvestmentNews citing CNBC interview; headcount and spend figures attributed 'reportedly'. Goldman analyst EPS estimate not company data. Result: 134 AI 'digital employees' alongside ~48,100 staff; nearly all staff completed 10-hour AI training; headcount down from ~53,400 in 2023. | BNY (reported by InvestmentNews) | Banking & financial services | – | Deployment | 2026-02-09 | Source ↗ |
| Goldman Sachs: Claude-based agents for trade accounting and client onboardingsecondary: InvestmentNews citing CNBC interview with CIO; 'reportedly' for the six-month detail; no metric. Result: ~6 months of agent development with Anthropic engineers; no measured result published; CIO called direct job cuts 'premature'. | Goldman Sachs (reported by InvestmentNews) | Banking & financial services | KYC, AML & compliance | Deployment | 2026-02-09 | Source ↗ |
| DBS: S$1bn AI economic value in 2025 measured against control groupssecondary: trade report of DBS Q4 2025 results briefing; company-reported, partly control-group based. DBS Annual Report 2025 CEO letter (opened, no publication date shown, so not used as the row date) states about S$1bn from 2,000+ models, 430+ use cases and a coding assistant cutting data scientists' coding time by up to 20% on certain tasks. Result: AI initiatives generated S$1bn economic value in 2025, up a third from S$750M in 2024; derived by comparing customers offered AI-driven solutions with a control group; CEO credits contextual nudges and automated engagement for record deposits, wealth and fee income. | DBS Bank (reported by FCC Singapore) | Banking & financial services | – | Deployment | 2026-02-09 | Source ↗ |
| DBS: about 4000 contract roles to go by attrition while over 60% of staff use DBS GPTsecondary and company-stated; no total headcount or cost-income ratio in the source. Annual report says DBS-GPT helps two-thirds of employees. Result: About 4,000 contract and temporary roles to be cut over a few years through natural attrition (stated early 2025); over 60% of staff actively use in-house DBS GPT; CEO: aim is to move staff into higher-order roles. | DBS Bank (reported by FCC Singapore) | Banking & financial services | – | Deployment | 2026-02-09 | Source ↗ |
| DWP Copilot evaluation: 19 minutes a day saved versus a non-user comparison groupsecondary: Computing article; survey-based comparison, self-reported, no time logs; the government report was not opened. A separate DBT trial reportedly found time saved did not always become productivity. Result: Six-month evaluation Oct 2024-Mar 2025: 1,716 Copilot users vs 2,535 non-users, net 19 minutes per person per day saved, mainly search, email drafting and summarising; 73% say output quality improved. | UK Department for Work and Pensions (reported by Computing) | Public sector | – | Study | 2026-02-05 | Source ↗ |
| Deloitte 2026 energy/resources/industrials: 26% moved 40%+ of experiments to productionSelf-reported sector cut of the same Aug-Sep 2025 survey. Report gives no quantified ROI. Primary Deloitte PDF opened. Result: 26% moved 40%+ of AI experiments to production; 17% achieving AI-driven revenue growth; only 20% of workers with access use AI daily more than 60% of the time; 84% have not redesigned jobs (ER&I n=591). | Deloitte AI Institute | Energy & utilities | – | Survey | 2026-02 | Source ↗ |
| Careerminds survey: 35.6% of employers rehired over half of roles cut for AIsecondary: reported by People Matters; vendor survey of an outplacement firm; Robert Half cited ~32% of US hiring managers refilled AI-cut roles. Result: 35.6% of employers had rehired more than half of roles eliminated due to AI; 52% of rehires within six months (survey of 600 HR professionals Feb 2026). | Careerminds (reported by People Matters) | – | Recruiting | Survey | 2026-02 | Source ↗ |
| UK DSIT AI adoption research: 16% of businesses use AI, micro 14% vs large 36%Primary gov.uk page opened. Self-reported by the technology lead; excludes shadow AI; fieldwork is 2025 so older than the date suggests. Result: 16% of UK private-sector businesses with 5+ employees use AI (large 36%, mid-sized 23%, micro 14%); 3,500 phone interviews, fieldwork 12 Feb-2 May 2025, plus 100 qualitative interviews. | UK DSIT and DBT (IFF Research and Technopolis) | – | – | Survey | 2026-01-28 | Source ↗ |
| UK DSIT: users report productivity gains but 77% see no revenue change; 60% cite skills gapPrimary page opened. All impact figures are self-reported by businesses (the report itself calls them estimates). Result: Among 700 AI-using businesses: 75% report improved workforce productivity, 34% lower operating costs, 10% no impact so far; revenue 77% no change and 12% increase; barriers: no identified need 71%, limited AI skills 60%, tools 48%, integration 29%. | UK DSIT and DBT (IFF Research and Technopolis) | – | Learning & performance | Survey | 2026-01-28 | Source ↗ |
| PwC Global CEO Survey 2026: 56% report no significant AI financial benefitSelf-reported CEO survey by an advisory firm that sells AI services. Primary PwC release opened. Result: 56% of CEOs report no significant financial benefit from AI yet; 33% gains in either cost or revenue; 12% both (n=4,454 CEOs, 95 countries and territories). | PwC | – | – | Survey | 2026-01-19 | Source ↗ |
| PwC 2026: embedded AI and strong foundations separate winnersSelf-reported survey; correlation not causation. Primary PwC release opened. Result: CEOs reporting both cost and revenue gains are 2-3x more likely to have embedded AI extensively; those with strong AI foundations (e.g. Responsible AI frameworks) are 3x more likely to report meaningful returns (n=4,454). | PwC | – | – | Survey | 2026-01-19 | Source ↗ |
| PwC analysis: broad AI use linked to ~4 points higher marginsPwC's own analysis; method not given in the release so causality is unproven. Primary PwC release opened. Result: Companies applying AI widely across products, services and customer experience had nearly 4 percentage points higher profit margins (PwC separate analysis). | PwC | – | – | Study | 2026-01-19 | Source ↗ |
| ASEAN+ CIOs plan higher AI investmentLenovo CIO Playbook 2026 with IDC insights as reported by Context.ph. Sample size and fieldwork dates not stated. Result: 96% planning to increase AI investment by an average of 15% in 2026; 88% expect positive ROI; two-thirds piloting or systematically adopting AI across functions. | Lenovo CIO Playbook 2026 with IDC | – | – | Survey | 2026-01-17 | Source ↗ |
| Deloitte State of AI 2026: 25% moved 40%+ of experiments to productionSelf-reported survey. The PDF states n=3,235 in text but N=3,325 in one figure; efficiency and cost percentages were hard to map to chart labels (extraction caveat). Primary Deloitte PDF opened. Result: 25% of respondents have moved 40% or more of AI experiments into production; 66% report efficiency gains, 40% cost reduction, 20% revenue growth; 37% have little or no process change (n=3,235 director to C-suite; 24 countries; fielded Aug-Sep 2025). | Deloitte AI Institute | – | – | Survey | 2026-01 | Source ↗ |
| Deloitte 2026: skills are top barrier; 84% have not redesigned jobsSelf-reported survey. Primary Deloitte PDF opened. Result: 84% have not redesigned jobs around AI; 53% respond mainly by educating the workforce; worker access to sanctioned tools ~60% but under 60% of those with access use AI in daily workflow (n=3,235). | Deloitte AI Institute | – | Learning & performance | Survey | 2026-01 | Source ↗ |
| Deloitte 2026: only 21% have mature governance for autonomous agentsSelf-reported survey. Primary Deloitte PDF opened. Result: 21% report a mature governance model for autonomous agents; 74% plan at least moderate agentic AI use within two years vs 23% today (n=3,235). | Deloitte AI Institute | – | – | Survey | 2026-01 | Source ↗ |
| Citigroup: 9% productivity lift in coding teamssecondary: CeFPro reporting conference remarks by Citi's incoming CFO; baseline and period not given; self-reported. Result: 9% productivity lift in coding teams (company-stated). | Citigroup (reported by CeFPro) | Banking & financial services | Software engineering | Deployment | 2025-12-17 | Source ↗ |
| US banks: flat headcount at Wells Fargo and PNC; JPMorgan forecasts 40-50% ops efficiencysecondary: CeFPro on conference remarks, not earnings filings; JPMorgan 40-50% is a projection and 'productivity doubled' claim had unclear units. Result: JPMorgan ops specialists could see 40-50% efficiency gains (forecast); Wells Fargo no headcount reduction; PNC headcount flat vs a decade ago while bank ~tripled. | JPMorgan; Wells Fargo; PNC (reported by CeFPro) | Banking & financial services | – | Deployment | 2025-12-17 | Source ↗ |
| OECD (G7 request): SME AI adoption lags larger firms and the gap persistsOnly the abstract page was opened; the full PDF could not be fetched, so no country figures were verified. Treat as a pointer to the primary report, not a statistic source. Result: Qualitative: SME AI adoption is low versus other digital technologies and versus large firms; four enablers named: connectivity; data, algorithms and compute; skills; finance; proposes a taxonomy of SME adopters from G7 case studies. | OECD | – | – | Study | 2025-12-09 | Source ↗ |
| Stepped-wedge trial: ambient AI cuts note time 0.36 hours a dayRandomised pragmatic trial; date inferred from citation NEJM AI 2025;2(12). Secondary summary by Consultant360; work-outside-work result not robust to outliers. Result: Time on notes -0.36 hours/day (95% CI -0.55 to -0.17); work exhaustion -0.44 points on 5-point scale; 66 practitioners; 71,487 notes. | NEJM AI (Afshar et al.) | Healthcare & life sciences | Clinical documentation | Study | 2025-12 | Source ↗ |
| UCLA RCT in NEJM AI: AI scribes cut note time up to 9.5% and burnout ~7%Randomised trial; press release summary opened (not the paper). Gains are modest, effect on burnout needs confirmation per release. Result: Nabla arm note-writing time fell 41 seconds (4:30 to 3:49), 9.5% more than control; DAX not significant; burnout scores ~7% better in both arms (238 physicians, 72,000 encounters). | UCLA Health (NEJM AI) | Healthcare & life sciences | Clinical documentation | Study | 2025-11-26 | Source ↗ |
| McKinsey State of AI 2025: 39% see any EBIT impactSelf-reported survey by McKinsey of its respondent panel; primary page opened. Result: 39% of respondents attribute any enterprise EBIT impact to AI; most of those say under 5% of EBIT (n=1,993 in 105 nations; fielded Jun 25-Jul 29 2025). | McKinsey & Company | – | – | Survey | 2025-11-05 | Source ↗ |
| McKinsey: AI high performers are 6% and redesign workflowsSelf-reported survey; McKinsey calls workflow redesign one of the strongest contributors to impact among factors tested. Primary page opened. Result: ~6% are AI high performers (5%+ of EBIT from AI); they are nearly 3x as likely to have fundamentally redesigned individual workflows (n=1,993). | McKinsey & Company | – | – | Survey | 2025-11-05 | Source ↗ |
| McKinsey: nearly two-thirds have not begun scaling AISelf-reported survey; page gives no exact percentage for 'scaling'. Primary page opened. Result: Nearly two-thirds of respondents say their organisation has not begun scaling AI enterprise-wide; about one-third have begun (n=1,993). | McKinsey & Company | – | – | Survey | 2025-11-05 | Source ↗ |
| McKinsey: agents scaling in 23% of firms but under 10% in any functionSelf-reported survey. Primary page opened. Result: 23% scaling an agentic AI system somewhere; 39% experimenting; no more than 10% scaling agents in any single function (n=1,993). | McKinsey & Company | – | – | Survey | 2025-11-05 | Source ↗ |
| Chen et al.: LLM exposure shows no systematic US unemployment effectPreprint using exposure not observed adoption; not peer reviewed. Primary arXiv page opened. Result: Synthetic DiD: +$89 weekly earnings in high-exposure occupations and +0.2pp unemployment (about zero); US CPS Jan 2010-Aug 2025. | University of Chicago Knowledge Lab (arXiv) | – | – | Study | 2025-09-19 | Source ↗ |
| 2025 baseline: Vietnam AI adoption 18% (about 170,000 firms), 12% of large enterprises with comprehensive AI strategyPrimary AWS release on press.aboutamazon.com for the 2025 'Unlocking Vietnam's AI Potential' study; 1,000 business leaders and 1,000 public; fieldwork dates not stated. Gives the year-on-year baseline for the 2026 study. Result: 18% of businesses adopt AI (13% prior year); 74% basic uses, 17% intermediate, 9% transformative; 55% cite skills shortage. | AWS / Strand Partners (Vietnam) | – | – | Survey | 2025-09-17 | Source ↗ |
| Salesforce: support headcount cut from 9000 to about 5000 with AI agentssecondary: NBC News quoting Benioff on The Logan Bartlett Show podcast and a Salesforce statement; vendor self-reported and the support-only framing is the reporter's. Publication date not shown on the page I opened. Result: CEO Benioff: support reduced from 9,000 to about 5,000 heads. | Salesforce (reported by NBC News) | Software & IT services | Customer support | Deployment | 2025-09-02 | Source ↗ |
| BCG: only 5% of firms achieve AI value at scale; 60% get noneSelf-reported survey by a consultancy. Date: PDF is titled October 2025 but its text says September 2025; I used 2025-09. Primary BCG PDF opened. Result: 5% of companies are 'future-built' and achieving AI value at scale; 60% achieve no material value (1,250 executives, 68 countries, 25+ sectors). | Boston Consulting Group | – | – | Survey | 2025-09 | Source ↗ |
| BCG: 10-20-70 - people and process dominate AI valueBCG framing from its survey and client work; not an independently measured result. Primary PDF opened. Result: BCG's split of effort for winners: 70% people, organisation and processes; 20% technology; 10% algorithms; ~70% of AI value sits in core business functions (n=1,250). | Boston Consulting Group | – | – | Survey | 2025-09 | Source ↗ |
| BCG: future-built firms show 1.7x revenue growth and 1.6x EBIT marginSelf-reported survey plus BCG projection; correlation not causation. Primary PDF opened. Result: Future-built firms vs stagnating/emerging: 1.7x revenue growth and 1.6x EBIT margin (n=1,250); BCG expects 2x revenue uplift and 1.4x cost reduction vs laggards in AI-applied areas. | Boston Consulting Group | – | – | Survey | 2025-09 | Source ↗ |
| Commonwealth Bank reverses 45 call-centre job cuts after AI voice botsecondary: Bloomberg page text via fetch; claims contested between bank and Finance Sector Union. Date taken from the URL. Result: CBA reversed plan to cut 45 customer service roles; said voice bot cut calls by 2,000 a week but union said volumes rose and staff needed overtime. | Bloomberg | Banking & financial services | Customer support | Incident | 2025-08-21 | Source ↗ |
| METR RCT: experienced developers 19% slower with AI toolsRandomised controlled trial; small sample and mature open-source repos so may not generalise. arXiv v2 date used; primary paper opened. Result: Tasks took ~19% longer with AI allowed; developers forecast a 24% speedup and afterwards believed 20% (16 developers, 246 tasks, Feb-Jun 2025). | METR | Software & IT services | Software engineering | Study | 2025-07-25 | Source ↗ |
| MISA AVA customer-care assistant: 350 staff doing work that needed 600Stated by MISA's CEO in SGGP coverage, so company self-reported with no independent check. Same article reports FPT.AI helping firms cut costs 60% (vendor claim, no baseline). Result: Customer-care productivity 1.71x; 350 staff handling work that previously needed 600. | MISA (Vietnam) | Software & IT services | Customer support | Deployment | 2025-07-24 | Source ↗ |
| MIT NANDA primary: 95% of organisations get zero return; 5% of integrated pilots extract millionsPrimary text read, but from a copy hosted by law firm Webber Wentzel; the MIT-hosted original was not opened. Labelled 'Preliminary Findings'. Success = deployment beyond pilot with measurable KPIs; ROI measured six months after pilot. Authors' own limits: figures 'directionally accurate based on individual interviews rather than official company reporting'; possible selection bias; six-month window may understate; causation not proven. Internal inconsistencies (66% vs ~67% buy share; ~50% vs ~70% of budget to sales and marketing). Sample is far smaller than the 150 interviews and 350-employee survey cited in secondary coverage (see P3-001). Self-reported and interview-based, not measured P&L. Result: Report says '95% of organizations are getting zero return' and 'just 5% of integrated AI pilots are extracting millions in value'; sample = 300+ public AI initiatives reviewed + interviews with 52 organisations + survey of 153 senior leaders at four industry conferences; research Jan-Jun 2025. | MIT NANDA (Challapally Pease Raskar Chari) | – | – | Study | 2025-07 | Source ↗ |
| MIT NANDA primary: only 5% of enterprise-grade AI tools reach production; buying beats buildingPrimary text (law-firm-hosted copy); self-reported interviews and survey. Authors state the partnership-success link 'does not necessarily prove causation'. The ~22% internal-build success rate in P3-002 is not in the primary; the primary gives a 2x relative figure and a deployment-share split instead. Result: 60% of organisations evaluated enterprise-grade task tools, 20% reached pilot, 5% reached production; purchased partnerships ~66-67% of deployments vs ~33% internal builds; partnership pilots 'twice as likely' to reach full deployment; workers at 90%+ of firms use personal AI tools but only 40% of firms bought an official LLM subscription. | MIT NANDA (Challapally Pease Raskar Chari) | – | – | Study | 2025-07 | Source ↗ |
| MIT NANDA primary: ROI sits in back-office cuts; front-office wins are speed and retentionPrimary text (law-firm-hosted copy). Anonymised, interview-based and self-reported; no company named. Budget share is inconsistent within the report (~50% vs ~70%). Result: Back office: BPO elimination $2-10M a year in customer service and document processing; creative and content agency spend down 30%; risk checks saved $1M a year; front office: lead qualification 40% faster, customer retention +10%; gains reported without material workforce reduction; roughly 50% of GenAI budget goes to sales and marketing (survey text says ~70%). | MIT NANDA (Challapally Pease Raskar Chari) | – | – | Study | 2025-07 | Source ↗ |
| Gartner: over 40% of agentic AI projects cancelled by end 2027Forecast, not an observed outcome; the poll is of webinar attendees (self-selected). Primary Gartner press release opened. Result: Gartner predicts over 40% of agentic AI projects will be cancelled by end 2027 (costs, unclear value, weak risk controls); poll of 3,412 webinar attendees Jan 2025: 19% significant investment, 42% conservative, 8% none, 31% wait-and-see. | Gartner | – | – | Survey | 2025-06-25 | Source ↗ |
| Gartner: agent washing - about 130 real agentic vendorsAnalyst estimate with no published method in the release; primary Gartner press release opened. Result: Gartner estimates only ~130 of the thousands of agentic AI vendors are real (the rest 'agent washing'). | Gartner | – | – | Benchmark | 2025-06-25 | Source ↗ |
| VietinBank Genie internal assistant: 350,000 questions in two monthsPress-reported (Bao Dau tu) with no stated baseline or method; treat as self-reported by the bank. Genie trained on 2,000+ internal documents. No cost, revenue or headcount figures for any named bank in the article. Result: 350,000+ questions answered in 2 months; staff time searching for information reportedly cut 95%. | VietinBank (Vietnam) | Banking & financial services | Employee service desk | Deployment | 2025-06-20 | Source ↗ |
| UK cross-government Copilot trial: 26 minutes a day saved, self-reported, 17% saved nonesecondary: trade article on the report; self-reported estimates (article does not label them so); no output measure. 85% 'good value' is belief not measurement. Result: 20,000 employees in 12 departments, Q4 2024: average 26 minutes saved a day (about 13 days a year, an extrapolation); 17% saved nothing, 23% over 30 minutes; project delivery 35 min vs tax 11 min. | UK Government Digital Service trial (reported by PublicTechnology) | Public sector | – | Study | 2025-06-03 | Source ↗ |
| Klarna: AI assistant handled 75% of chats (company claim)secondary: reported by Entrepreneur citing Klarna's own 2024 statements; vendor self-reported not audited. Result: Company said AI did the work of 700 agents and handled 75% of chats (~2.3M conversations in first month) across 35+ languages (Feb 2024 claim). | Klarna (reported by Entrepreneur) | Banking & financial services | Customer support | Deployment | 2025-05-09 | Source ↗ |
| Klarna reverses course and rehires human support agentssecondary: reported by Entrepreneur (2025-05-09) and Maginative (2025-05-08); based on CEO statements to Bloomberg. No satisfaction or cost figures published in what I opened. Result: CEO said AI service was cheaper but 'lower quality'; hiring humans again; headcount fell 22% to ~3,500 over a year of hiring freeze. | Klarna (reported by Entrepreneur and Maginative) | Banking & financial services | Customer support | Incident | 2025-05-09 | Source ↗ |
| IBM CEO study: 25% of AI initiatives delivered expected ROISelf-reported CEO survey commissioned by a vendor with an AI business. Primary IBM newsroom page opened. Result: 25% of AI initiatives delivered expected ROI over the last few years (2,000 CEOs, 33 countries, 24 industries; fielded Feb-Apr 2025). | IBM Institute for Business Value | – | – | Survey | 2025-05-06 | Source ↗ |
| IBM CEO study: 16% of AI initiatives scaled enterprise-wideSelf-reported CEO survey by an AI vendor. Primary page opened. Result: 16% of AI initiatives scaled enterprise-wide; 50% of CEOs say rapid investment left disconnected, piecemeal technology; 64% invest ahead of understanding value for fear of falling behind (n=2,000). | IBM Institute for Business Value | – | – | Survey | 2025-05-06 | Source ↗ |
| Humlum and Vestergaard: no earnings or hours effect from chatbots in DenmarkStudy linking surveys to administrative payroll data; time savings are self-reported. 30% of workers had chatbot training. Primary working paper opened. Result: No significant effect on earnings or recorded hours; CIs rule out effects above 1% (pooled); users report ~2.8% time saved (~25,000 responses from ~7,000 workplaces; 11 occupations; admin-registry linked). | University of Chicago BFI | – | – | Study | 2025-05 | Source ↗ |
| Microsoft Copilot RCT, 66 firms: email time down 1.29 hours a week, meetings unchangedMeasured (telemetry plus randomised access); primary PDF opened. Early-rollout licences, firm-selected workers; time reallocated, not output or P&L. Result: 7,137 knowledge workers at 66 firms, Sep 2023-Oct 2024: email time -1.29 hours a week (ITT) and -3.56 hours (about 31%) for regular users on 11.65 hour baseline; meeting time no significant change; completed document counts unchanged; collaborative document time down significantly. | Dillon Jaffe Immorlica Stanton (NBER 33795) | – | – | Study | 2025-05 | Source ↗ |
| Allianz: Insurance Copilot for motor claims launched but no quantified resultCompany article; useful as an example of a scaled deployment with no published P&L metric. Primary Allianz page opened. Result: Insurance Copilot launched 2024 for motor claims in Austria; Allianz says only 'preliminary assessments' show 'significant business impact' with no figures. | Allianz | Insurance | Insurance claims | Deployment | 2025-02-05 | Source ↗ |
| Alibaba customer-service RCT: AI suggestions help low performers, hurt top agents' qualityMeasured randomised field experiment; SSRN abstract opened, which gives no effect sizes or sample size. Pointer for the 'raises the floor, may lower the ceiling' pattern. Result: Randomised agent-level rollout of an AI diagnosis and solution-suggestion assistant: speed and quality improved, engagement rose, low performers gained more, high performers' service quality declined. | Ni Wang Feng Lu Wang Zhou (Alibaba collaboration; SSRN) | Retail & e-commerce | Customer support | Study | 2025-01-08 | Source ↗ |
| Census BTOS Sep 2023-Aug 2024: AI use by size, micro firms start high but grow slowlyMeasured official survey (BTOS), primary page opened. Broad AI definition incl. generative AI; pre-Nov 2025 question wording so not comparable with 2026 figures; slope differences between size classes not tested for significance by the authors. Result: Firms with 1-4 employees: AI use 4.6% to 5.8%; 250+ employees: 5.2% to 7.8% (26 biweekly observations); at current trends 25% adoption takes about 6 years for 250+ firms and about 15 years for 1-4 employee firms. | US Census Bureau (Dinlersoz and Goldschlag) | – | – | Benchmark | 2024-12-03 | Source ↗ |
| Gartner finance survey: 58% of finance functions use AI but no measured return reportedsecondary and dated: MarketScale piece of 2026-09-13 re-reporting a 2024 survey (date taken from CFO Dive per the article). The coverage cites no savings or cycle-time figures, so the finance-close gap is NOT closed. Result: 58% of finance functions used AI in 2024, up 21 points on 2023; 42% not using, half of them planning to; 66% more optimistic than a year earlier (n=121 finance leaders). | Gartner (reported by MarketScale) | – | – | Survey | 2024-09 | Source ↗ |
| Viettel Telecom AI callbot: 33 million calls, ~21 billion VND saved a yearReported in Thoi bao Tai chinh Viet Nam as a Viettel result (self-reported, no method or baseline). Dated Feb 2024, so older than the 2026 evidence. Result: ~33 million customer calls handled; ~21 billion VND saved per year. | Viettel Telecom (Vietnam) | Telecom & media | Customer support | Deployment | 2024-02-08 | Source ↗ |
| Viettel legal assistant for Vietnam's Supreme People's Court: 30% less case-handling timeVendor/press-reported, no baseline or method. A July 2025 SGGP article separately says a Viettel GenAI legal assistant on Llama 3.3 cut legal staff working time by about 30%. Account figure from a Sept 2023 VnEconomy piece. Result: ~30% saving in case-handling time; 12,000+ assistant accounts issued (2023 report). | Viettel / Supreme People's Court (Vietnam) | Public sector | Contract review & drafting | Deployment | 2024-02-08 | Source ↗ |
| Brynjolfsson Li Raymond: AI assistant lifts support productivity 14% (34% for novices)Field study of a real deployment at one Fortune 500 software firm. Older than 2025 but the most-cited measured before/after; NBER page opened (revised Nov 2023). Result: ~14% more issues resolved per hour on average and ~34% for novice or low-skilled agents; 5,179 customer support agents, staggered rollout. | NBER (Stanford and MIT authors) | Software & IT services | Customer support | Study | 2023-04-24 | Source ↗ |