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FINANCIAL CONTROLLING

& ACCOUNTING

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AP/AR coding, invoice capture (OCR), reconciliations, variance analysis, and month-end narratives are now partially automated; staff redeploy time to scenario explanation and risk/compliance.

DIGITAL MARKETING

& CONTENT

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Generating ad copy, social posts, imagery/video drafts, SEO briefs, and A/B test ideas; analysts use AI dashboards to iterate creatives and budgets faster.

OPERATIONS

& LOGISTICS

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Route optimisation and predictive picking are automated; planners handle exceptions and stakeholder comms.

ADMINISTRATIVE

& CLERICAL

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Automatic minutes, document classifiers free time for stakeholder liaison.

ICT

& Technical support

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Chatbots solve tier-1 queries; humans resolve conflicts and edge cases.

645,000

ads citing AI in that family (January 2022 – December 2025)

627,000

ads citing AI in that family (January 2022 – December 2025)

532,000

ads citing AI in that family (January 2022 – December 2025)

503,000

ads citing AI in that family (January 2022 – December 2025)

484,000

ads citing AI in that family (January 2022 – December 2025)

03

AI Skills in non-tech-centric

careers

FINANCIAL CONTROLLING

& ACCOUNTING

TASK MIX SHIFT

AI tools now automate many repetitive “laundry” tasks such as AP/AR coding, invoice capture via OCR, reconciliations, and variance analysis. Around 8–9% of accountants’ time is being reallocated from these routine processes to higher-value activities like scenario modeling, client interactions, and compliance oversight. Month-end closes are significantly faster and narratives are more data-rich, while human judgment focuses on explaining anomalies and advising on risk.

Top AI tools used

Finance teams increasingly use tools like Google Vertex AI for anomaly detection and forecasting, Looker for dynamic BI dashboards, and Gemini for drafting reports or summarizing contracts. Spreadsheet copilots (in Excel or Google Sheets) now automate formula generation and audit trails, while AI-driven reconciliation tools streamline transaction processing.

Share of job ads citing AI skills

Roughly 39% of accounting and financial controlling job postings now seek AI proficiency — a more than threefold increase since 2023. Global financial roles are nearly 3× more likely to cite AI-related skills than other sectors.

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Sofia

Lisbon

Sofia manages consolidated reporting for a mid-sized multinational based in Lisbon. Each morning, she reviews the results of automated reconciliations and anomaly detection models running on Google Vertex AI. Optical character recognition tools capture and classify invoices overnight, and Looker dashboards visualize real-time variances across business units. Rather than performing manual data checks, Sofia focuses on interpreting discrepancies and advising leadership on compliance risks or liquidity trends.

Her role demands both financial literacy and technical fluency. She understands how to prompt Gemini for automated report drafting, how to adjust machinelearning thresholds, and how to validate the AI’s recommendations. These capabilities allow her to deliver faster, more accurate insights, repositioning accounting from transactional record-keeping to strategic analysis.

DIGITAL MARKETING

& CONTENT

TASK MIX SHIFT

AI is transforming creative workflows. Generating ad copy, social posts, imagery or video drafts, SEO briefs, and A/B test ideas are now semi-automated. Marketers spend less time on first drafts and more on strategy, brand storytelling, and optimization. Campaign iteration cycles are shorter, as AI dashboards allow instant feedback loops between creative testing and budget performance.

Top AI tools used

Platforms like Adobe Firefly, Canva Magic Studio, and Google Gemini support generative content creation, while HubSpot AI and Jasper assist in campaign ideation and personalization. Data analysts rely on Looker and Google Ads’ Performance Max for automated targeting and analytics.

Share of job ads citing AI skills

About 42% of marketing and content roles now mention AI-related competencies — the highest among all job families. Demand centers on prompt-writing, AI-powered SEO, and familiarity with generative design tools.

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Malik

Berlin

Malik leads performance marketing for a sustainability-focused agency in Berlin. Using Gemini and Jasper, he generates initial drafts of ad copy, SEO briefs, and video scripts tailored to different audience segments. Adobe Firefly supports the creation of visuals aligned with brand tone, while Looker Studio tracks performance data in real time. AI tools handle segmentation, A/B testing, and content versioning, enabling him to focus on campaign strategy and creative direction.

The skills profile for Malik’s role combines marketing fundamentals with technical dexterity. He uses prompt-writing techniques to steer generative tools, interprets data patterns using BI dashboards, and applies ethical judgment to ensure brand authenticity. AI augments his output volume and analytical precision, freeing capacity for innovation and narrative craft.

OPERATIONS

& LOGISTICS

TASK MIX SHIFT

Automation and AI-driven optimization are reshaping logistics. Route planning, inventory forecasting, and predictive picking are now largely automated, freeing planners to handle exceptions, vendor coordination, and sustainability tracking. AI supports real-time decision-making, improving delivery reliability while reducing idle capacity and waste.

Top AI tools used

Google Cloud’s Vertex AI powers demand forecasting; SAP AI and Oracle Logistics AI automate resource allocation and scheduling; Gemini assists in summarizing supplychain reports and exception management. Warehouses employ computer vision systems to detect anomalies and optimize pick-path efficiency.

Share of job ads citing AI skills

Around 29% of operations and logistics postings reference AI — up from just 11% two years ago. Employers now seek candidates versed in predictive analytics, workflow automation, and AI-enhanced ERP systems.

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Anna

Łódź

Anna oversees supply-chain operations for a national retailer in Łódź. Vertex AI Forecasting models anticipate daily shipment volumes, while SAP AI optimizes vehicle routing and warehouse picking sequences. Routine scheduling tasks have been automated, and Anna now spends most of her time managing exceptions, validating data inputs, and communicating with partners on disruptions or sustainability metrics.

Her effectiveness depends on a solid grasp of both logistics processes and data-driven reasoning. She monitors algorithmic decisions, interprets predictive dashboards, and adjusts operational parameters when contextual knowledge is required. The integration of AI has reduced idle time and fuel consumption, while enabling Anna to operate with greater foresight and control.

ADMINISTRATIVE

& CLERICAL

TASK MIX SHIFT

The classic clerical workflow - scheduling, transcribing, document sorting - is being heavily streamlined by AI. Automatic meeting minutes, document classifiers, and digital assistants reduce administrative drag, allowing staff to focus on stakeholder communication, project coordination, and decision support.

Top AI tools used

Gemini for Workspace, Microsoft Copilot, and Otter.ai are the leading tools for drafting correspondence, summarizing calls, and managing documentation. Workflow automation platforms like Zapier and UiPath further reduce repetitive handling of documents and emails.

Share of job ads citing AI skills

Roughly 26% of administrative roles now call for AI literacy, a sharp rise from 8% two years ago. Employers prioritize familiarity with office AI assistants, transcription tools, and workflow automation software.

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Léa

Lyon

Léa coordinates cross-departmental operations for a large nonprofit headquartered in Lyon. With Gemini, she automates meeting summaries, drafts correspondence, and maintains documentation standards. Zapier workflows integrate HR, finance, and communication systems, ensuring data consistency without manual input.

Her evolving skillset blends organizational competence with digital literacy. Léa structures prompts to refine AIgenerated outputs, curates shared knowledge bases, and applies judgment to sensitive communication tasks that require human tone and discretion. As automation handles repetitive processes, her role increasingly emphasizes coordination, accuracy, and stakeholder engagement.

In a city defined by creativity and experimentation, Amira embodies the designer of the AI era: leveraging automation to amplify, not replace, human empathy and design sensibility.

ICT

& TECHNICAL SUPPORT

TASK MIX SHIFT

Tier-1 customer queries are now largely automated through AI chatbots and virtual assistants, while human support teams focus on diagnosing complex issues, ensuring system security, and refining the chatbot’s learning loops. This shift reduces resolution time and allows more consistent 24/7 service.

Top AI tools used

Gemini for Support, Zendesk AI, and Intercom Fin are widely used for automated troubleshooting and knowledge base generation. Google Cloud Dialogflow and ServiceNow AI manage intent detection and escalation routing, while developers use GitHub Copilot for faster bug resolution.

Share of job ads citing AI skills

About 47% of ICT and tech support positions now reference AI-related skills, reflecting both the adoption of AI helpdesk tools and the growing demand for workers who can manage, fine-tune, and train them.

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Darius

Manchester

Darius works in customer operations at a software company in Manchester. Zendesk AI and Dialogflow manage first-tier user queries, escalating unresolved cases with annotated logs for review. Darius uses Gemini for Support and GitHub Copilot to diagnose complex issues, validate solutions, and update the company’s AI-generated knowledge base.

Technical support has evolved from reactive ticket handling to proactive system optimization. Darius’s role combines problem-solving, data interpretation, and model-training oversight. His understanding of conversational AI and workflow automation enables the company to reduce resolution time while maintaining a high standard of customer experience.

NEXT CHAPTER

4. How is AI perceived by career starters and workers in Europe?

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