AI Literacy

Asimov AI requires client team leaders to complete intensive induction sessions on the nature and causes of algorithmic hallucinations in the legal domain before system use.

Anekanta AI tailors AI literacy training using a regularly updated skills matrix and individual competency assessments. Staff are trained to interpret outputs, identify errors and challenge algorithmic decisions.

Under the AI@EC Communication, the Commission created an internal AI web portal and defined AI learning packages oriented to generalists, managers and developers.

DBS earmarked ~13,000 permanent staff for upskilling with 10,000+ already training in AI and data skills (Feb 2025). All new joiners complete a mandatory PURE learning component on responsible data use.

PwC committed $1bn over three years (April 2023) to scale AI and upskill its workforce. My AI trains employees in responsible AI use and prompting; by end of 2023, 95% of US employees had engaged with GenAI.

Bronze badge: basic understanding of Applied AI concepts; requires 15 hours of training; earners must communicate understanding to internal and external parties. Publicly verifiable on Credly.

IDEMIA Public Security provides Technology Briefings for leaders on AI challenges, compliance and ethics, plus Tech Talk and Meet the Experts sessions for all employees.

INECO's structured AI literacy programme includes foundational training for non-technical staff, short learning content, online modules and in-person sessions tailored by role.

Ingka offers a 30-minute Say Hej to AI e-learning for all co-workers covering AI in society, terminology, ethics, using AI tools and prohibited uses.

Generali's WeLearn platform includes basic courses for all employees on what AI is, how it is used at Generali and its near-term impacts.

Palantir is rolling out an internal AI Literacy Hub for all staff, with resources aligned to roles covering AI foundations, risks, internal guidelines, policies and legal aspects.

Kaspersky introduced mandatory foundational AI training for all employees as part of a broader AI literacy and governance programme.

OpenSky runs company-wide AI literacy training for technical and non-technical employees. The foundations track covers AI concepts, safe prompts, privacy, bias and everyday productivity.

Criteo provides AI e-learning for all employees to establish a general minimum level of AI literacy, shared vocabulary and awareness of AI guidelines.

Collibra provides all employees with basic training on the value and risks of workplace AI, plus an AI hub explaining approved tools and risk mitigation.

Booking.com launched an overarching AI Standard across the company and rolled out training for all employees, with mandatory Playbooks that define responsibilities.

All employees with access to internal models must complete basic trainings and pass an assessment. Alteryx also provides on-demand AI training modules to all staff.

Mandatory Hiring Baseline. Effectively uses AI to enhance productivity and decision-making, structures strong prompts, and has built basic projects.

OneOrigin posting verbatim: excited about using AI tools, automation, and data in day-to-day recruiting.

Figma State of the Designer 2026: 72% of designers use GenAI, 89% report being faster, 91% report better designs, +25% job satisfaction.

L1 Competent user. Tweaks GPTs, projects, and internal AI tools. Experimenting, but hasn't automated real work yet.

Aaron Levie's AI-first post (1 May 2025) laid out a company-wide expectation that every Box team run AI-first.

Morgan Stanley's AI @ Morgan Stanley Assistant (built with OpenAI) is used by 98%+ of ~16,000 advisor teams. Baseline AI-tool use is standard advisor workflow.

Moderna deployed mChat and ChatGPT Enterprise firmwide (all employees, not just scientists). Bancel and Brice Challamel are the public spokespeople.

Goldman's firmwide GS AI Assistant launched to all employees in June 2025. Baseline GenAI assistant is standard across the firm.

Salesforce internally uses Agentforce for support and sales automation. Benioff has publicly stated AI now performs a substantial share of internal work.

JPMorgan's objective is to train every employee on how AI applies to their specific role, approached segment by segment (Derek Waldron). AI Made Easy has involved tens of thousands.

JPMorgan launched LLM Suite (proprietary internal GenAI assistant) in early 2024, reaching 200,000 users within eight months.

Micha Kaufman's April 2025 memo was addressed to Fiverr employees (not freelancers). Explicit link between AI upskilling and continued employment.

Jassy's June 2025 memo told employees Amazon expected the corporate workforce to shrink as agents and generative AI take on more work. GenAI is an expected baseline capability.

Citi made AI literacy and prompt-engineering training mandatory for all staff. Citi Assist and Citi Stylus reach the workforce; ~180,000 employees in 83 countries had AI-tool access by Q3 2025.

More than 550,000 of Accenture's ~780,000 people have been trained in the fundamentals of Generative AI (Sweet, Q4 FY25 earnings call, 25 Sept 2025).

All Shopify employees are expected to use AI reflexively in daily work. Prototyping happens in the GSD phase using AI. AI questions were added to performance and peer reviews.

Every week AI aggregates calendar, attendee context and prior threads into a fixed brief; they iterate prompts and spot hallucinations against source material and can cite time saved.

Uses AI consistently across core workflows (analysis, modelling, engineering, experimentation), improving speed and quality while maintaining rigour and reliability.

Uses AI for forecasting, variance analysis and reporting, tax research and provision prep, close checklists and journal entry review. Builds repeatable workflows across FP&A, tax and accounting.

Uses AI across partner workflows every week: research, outreach, co-sell prep and enablement materials. Built a repeatable workflow for partner QBR prep.

Uses AI across deal evaluation every week: market mapping, comps, CIM synthesis and IC memo drafting. Built a repeatable diligence workflow across multiple deals.

Uses AI across reporting, analysis and synthesis every week. Built repeatable workflows for recurring analyses, now embedded in how the work gets done.

Runs AI-powered tools daily across core sales workflows: account research, usage analysis, call prep. Built a repeatable pre-call research workflow iterated over time.

Uses AI across every contract: redlining, risk flagging, drafting, negotiation prep. Built a reusable library and reviews are faster and more consistent.

Uses AI daily across multiple parts of their role with repeatable prompt templates they refine each cycle. Sets direction for their team's AI experimentation.

Uses AI regularly across content, SEO analysis and performance review. Built a reusable prompt library for top content formats that the team now pulls from.

Has repeatable prompts for core parts of their job. Feeds relevant context into AI before complex work rather than asking isolated questions.

Has a structured approach for generating specs and prototypes that they reuse and refine across projects. Uses AI to tap into user insights previously inaccessible due to technical limitations or data scale.

Uses AI regularly across implementation, debugging, testing and documentation, with concrete examples of better quality, speed or leverage. Shows real tool and model literacy.