The Complete Guide to Using AI as a Marketing Professional in Czech Republic in 2025

Marketing teams in the Czech Republic need a playbook that turns big trends into local action: transparency and authenticity are now purchase drivers, short-form video and podcast attention (3.99 million Czech listeners) are reshaping creative formats, and retail‑media networks are siphoning ad spend toward platforms like Alza and Heureka - insights highlighted in ScreenVoice's Marketing Trends 2025 report (ScreenVoice Marketing Trends 2025 report on transparency, AI, and retail media).

At the same time, evolving EU rules and national strategy mean compliance and governance matter as much as creativity - see the legal overview in Global Legal Insights on Czech AI regulation (Global Legal Insights: Czech Republic AI laws and regulations overview).

Practical upskilling closes the gap between risk and opportunity: Nucamp's AI Essentials for Work bootcamp teaches usable prompts and workflows so teams can boost productivity without losing the human touch (Nucamp AI Essentials for Work syllabus - practical AI for marketers), helping marketers act on funding windows (TWIST, OP TAK) and real commercial wins rather than chasing buzz.

“The advent of artificial intelligence represents a significant opportunity for the transformation and modernisation of Czech industry. That is why we at the Ministry have decided to assume the leading role in implementing AI into the Czech legal system and to actively support its development and practical application.”

Regulatory reality for Czech marketers is straightforward: the EU AI Act now sets the legal framework and the Czech Republic's updated National AI Strategy 2030 (NAIS 2030) - approved in July 2024 - translates that framework into a local roadmap that pairs seven focus areas (research, skills, ethics, security, industry, public services, and labour impact) with an implementation plan and testing environments; see the OECD overview of the NAIS 2030 for the seven pillars and governance details (OECD overview: Czech National AI Strategy 2030).

Practical compliance steps for marketing teams: assume EU AI Act obligations apply (labelling, risk assessments, high‑risk controls), track the Ministry of Industry and Trade's AI Implementation Plan (which funds enforcement roles, an AI Competence Centre for eGovernment and CZK 232 million for 2026–2028), and map existing Czech law intersections - GDPR, the Civil Code, Consumer Protection Act, Copyright provisions (sections 39c/39d on text & data mining), and cybersecurity rules - into day‑to‑day workflows; White & Case's regulatory tracker summarizes the Implementation Plan and agency designations that will affect conformity assessments and market surveillance (White & Case: AI regulatory tracker for Czech Republic).

A vivid compliance cue: treat every campaign that uses automated profiling or generated creative as a mini‑audit - document data sources, model purpose, risk level and human oversight so internal reviews line up with NAIS 2030 priorities and the forthcoming national implementing rules.

Czech marketing teams hunting seed money or industrial-scale budgets should prioritise the Ministry of Industry and Trade's TWIST call - Subprogramme 1 specifically backs AI-focused industrial research and experimental development, with per‑project limits noted in the call (total funding per project will not exceed EUR 30 million; the announcement also states a maximum grant of CZK 30 million and aid intensity capped at 70% of eligible costs, while research organisations may receive up to 90%); the timeline is tight - projects must start between 1 March and 1 September 2025, run no longer than 24 months, and applicants had to contact the Project Support Office by 24 Jan 2025 ahead of the 12 Feb 2025 submission deadline - see the TWIST programme details at Masaryk University Project Support Office for full rules and contact data (TWIST programme details at Masaryk University Project Support Office).

Treat grant work as a staged project: build a tight project plan, match activities to the call, and follow standard EU application steps (find the right programme, prepare documentation, submit on time, be ready for audits and publicity) - the practical 10-step guide to obtaining funding is a good checklist when preparing applications (Practical 10-step guide to obtaining funding (DotaceEU)).

Think of TWIST as a sprint with CZK 30 million on the line: clear scope, crisp budget, and rigorous documentation will make the difference between a pilot and a fundable, scalable AI marketing capability.

Hardware access is now a strategic constraint for Czech marketing teams building AI-powered campaigns: the U.S. has introduced new limits on advanced AI chip exports that explicitly place Czechia in a second‑tier category, tightening who can buy top GPUs and how many they can receive - see Expats.cz coverage of US AI chip export limits to Czechia (Expats.cz: US will limit AI chip exports to Czechia) - and analysts describe this as part of a broader three‑tiered system for access to advanced AI hardware and models (ITIF analysis of three‑tiered AI hardware export controls).

Practical fallout for Czech teams: expect tighter supply, higher spot prices, and the need to book compute capacity earlier rather than later - think of GPU quotas like festival tickets that sell out fast.

The operational response is straightforward and local: prioritise cloud‑first workflows with advance reservations from major providers or regional hosted data centres, architect models for lower‑precision / cost‑efficient inference where possible, and build procurement playbooks that diversify suppliers and include export‑control compliance checks.

Above all, keep policy monitoring in the stack: shifting U.S. rules and allied responses mean what's available this quarter may change next - so lock capacity, document end‑use, and design campaigns that degrade gracefully if premium on‑prem hardware becomes briefly unavailable.

AI adoption in the Czech Republic has moved beyond pilots into everyday workflows: roughly 35% of Czech companies now use AI tools, involving more than a million people in daily work and with healthcare leading the way (over 60% of hospitals using AI) - clear signs marketing teams can tap mature datasets and real‑world use cases for targeting and personalization (see the AxeVera overview on AI adoption in Czech companies).

While local AI adoption is sector-driven, investors and planners should frame ambitions against two scale signals: the global artificial intelligence market was estimated at about USD 371.71 billion in 2025 (MarketsandMarkets 2025 global AI market report), and the broader Czech ICT market is expected to reach around USD 22.5 billion in 2025 (Mordor Intelligence Czech Republic ICT market (2025)), which together imply a healthy national ecosystem where AI spend will cluster around cloud services, software and marketing use‑cases.

The takeaway for Czech marketers: treat AI as a proven productivity lever in key sectors, match campaign investments to where corporate AI maturity already exists, and budget for vendor/cloud spend accordingly.

more than a million people

Fast, practical AI marketing wins for Czech teams start with personalization and small, measurable experiments: deploy AI product recommendations and on‑site agentic chatbots, spin up AI‑assisted email sequences that trigger the next best offer, and use GenAI to create localized landing pages and SEO-optimised copy - tactics shown to boost conversions in examples like HP Tronic's AI-driven site improvements (see Bloomreach AI personalization examples and local wins).

Prioritise quick experiments that reuse existing assets and measure lift (A/B test AI‑generated intros, run predictive audience scoring for retargeting, and automate product descriptions for thousands of SKUs), then scale the winners; treating AI like a sous‑chef - it preps tailored offers so human creatives add the final seasoning - makes the “so what?” immediate.

Start small to control cost and governance: invest in a content assembly layer and orchestration before wholesale platform swaps, follow a staged rollout that pairs human review with automated scoring, and document data sources and consent for every use.

For a sensible launch path, lean on the practical advice to limit disruptive platform changes while iterating on content workflows (see Deloitte guidance on integrating Generative AI into content marketing).

“Integrating GenAI into content marketing processes can be complex, so minimizing the technology changes required is the right place to start.”

Czech marketers must treat IP and data governance as everyday campaign hygiene: domestic copyright law (Act No. 121/2000 Coll.) grants strong moral rights and 70‑year economic protection for human authors, so always clear licences for images, templates and datasets and respect non‑waivable attribution rules (Czech Copyright Act (Act No. 121/2000) - WIPO legal text); EU-level updates and statutory text‑and‑data‑mining exceptions (implemented via sections 39c/39d) mean research use is possible but commercial reuse must be contract‑clean and documented (Art & Cultural Property Law 2025 - Chambers analysis for Czech Republic).

A practical legal cue that changes risk calculus: a Prague court has confirmed AI cannot be the legal author, so human authorship, attribution and contractual assignment remain central to ownership and liability.

For personal data, cookie rules and site terms show the old‑law framing (Act No. 101/2000 appears in practice documents), so log consent sources, retention periods and processors and keep a clear audit trail for any model training data or profiling (example site terms and personal data protection practices).

A memorable rule of thumb: treat each AI output like a museum tag - record who prompted it, which datasets it used, who reviewed it and what licence covers it - because provenance paperwork is the cheapest way to prevent takedowns, reputation hits or costly disputes.

Start with a clear, staged learning path that fits busy marketing calendars: build a foundation via the free online modules and curated course list at Charles University (see the Charles University online AI courses - Introduction to Generative AI and Legal Aspects for the Czech modules: Charles University online AI courses - Introduction to Generative AI & Legal Aspects), then move to hands‑on practice by applying to the Spring School of Artificial Intelligence - an annual, workshop‑based week in the Krkonoše mountains where participants present papers, take part in focused workshops and even unwind with hikes and sauna sessions, a concentrated blend of networking and skill building that accelerates applied learning (Spring School of Artificial Intelligence - Charles University workshop week).

For a bridge to industry‑grade tools and multilingual models, follow the Czech‑led OpenEuroLLM initiative coordinated at Charles University, which will supply transparent, EU‑aligned foundation models that marketers can experiment with for localisation and campaign automation (OpenEuroLLM project press release - EU‑aligned foundation models by Charles University).

Combine these academic resources with short practical sprints (bootcamps or on‑the‑job projects) and local community events from ČAUI/prg.ai to turn theory into measurable marketing lifts - think of the Spring School week as a learning retreat that converts curiosity into usable tactics.

“The transparent and compliant open-source models will democratize access to high-quality AI technologies and strengthen the ability of European companies to compete on a global market and public organizations to produce impactful public services.”

Becoming an agentic AI expert in 2025 means pairing machine‑level autonomy skills with pragmatic governance instincts: start by mastering the agentic AI lifecycle - perceive, reason, act, learn - so agents can plan and execute multi‑step tasks (Kyndryl's explainer on how agentic systems reason and act via LLMs and RAG) and study NVIDIA's practical breakdown of agent pipelines and tool integrations to learn orchestration, API tooling and retrieval‑augmented workflows; then build hands‑on experience by shipping small, tightly scoped pilots that treat agents as high‑privilege “users” (limited scope, audit trails, rollback and human override), iterate on reinforcement learning loops, and tune for cost‑efficient inference and safety.

Complement engineering chops with legal and privacy fluency - run DPIAs, map contract terms and logging needs, and embed explainability and auditability from day one as PrivacyWorld recommends - because regulator and platform limits will expect clear human oversight.

Round out the roadmap with sector focus (customer service, marketing automation, procurement use cases where autonomous negotiation or campaign optimisation is credible) and security hardening informed by threat analyses; think of the first agent as a junior teammate that must earn trust with every successful, auditable decision.

Link practical study to policy and operations, and progress from controlled pilots to governed, reusable agent templates that marketing teams in the Czech Republic can safely scale.

“may be a more powerful phenomenon [than generative AI]”

Freelancers and agencies in the Czech Republic should finish this guide by turning insight into a short, repeatable playbook: start with an AI inventory and risk classification (map every chatbot, recommendation engine and content tool), run lightweight DPIAs for any personal‑data use, and document provenance for every AI output so audits are a few clicks - not a scramble; the Oxford College of Marketing's regulation roundup is a useful checklist to bookmark for the latest AI‑act and GDPR obligations (Oxford College of Marketing AI regulation updates 2025).

Keep pilots small and measurable (A/B tests, clear KPIs), require vendor transparency and consumer disclosures, and make AI literacy non‑negotiable for staff because the EU rules demand it; when ready to build practical skills, consider a targeted course like Nucamp's 15‑week AI Essentials for Work to learn prompt craft, workflows and governance in a workplace context (AI Essentials for Work syllabus (Nucamp)).

Treat the first compliant pilot like a museum tag - timestamped, licensed and signed off by a human reviewer - and schedule quarterly compliance reviews so good practices scale with growth, not with risk.

“GDPR, on steroids” - Barry Scannell (quoted in LivePerson webinar)