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17.8% of Polish companies use AI. What the figure says about the market in 2026

Short answer

According to GUS, Poland's statistics office, 17.8% of Polish enterprises used AI technologies in 2026. That is twice the share a year earlier, when it was 8.7%. Polish firms use AI most often in marketing and sales (11.1% of firms) and in office work and decisions (9.6%). More than 80% of Polish firms still do not use AI, so the advantage of a rollout is still there to win.

How we workDetails ↓

  1. 01Call30 minutes with an engineer, free
  2. 02PrototypeA working system on your process and data, free
  3. 03ImplementationTarget and fixed price in the contract; 50% at signing
  4. 04Acceptance50% once the agreed target is met
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

We belong to the OpenAI and Anthropic partner programmes and learn through their official courses. What this means ↓

Author: Syntalith · 4 min read

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Statistics

AI in Polish companies: statistics 2026

17.8%

of Polish enterprises used AI in 2026. A year earlier the share was 8.7%.

Source: GUS, Information society in Poland in 2026 (2026) ↗

Figures checked: 22 October 2026

How many Polish companies use AI: GUS figures for 2026

According to GUS, Poland's statistics office, 17.8% of Polish enterprises used artificial intelligence technologies in 2026. A year earlier the share was 8.7%. It rose by 9.1 percentage points, so it more than doubled in one year.

Enterprises in Poland using AI

Share of enterprises with at least 10 employees.

20258.7%
202617.8%

Źródło: GUS, Information society in Poland in 2026 (2026) ↗

This article used to give 8.4% according to Eurostat. That figure is for 2025. The result for 2026 comes from the GUS survey published on 21 October 2026.

What Polish companies use AI for

Most Polish firms use AI in marketing and sales. Office work and preparing decisions come second.

Uses of AI in Polish enterprises, 2026

Share of all enterprises. One firm can use AI in several areas.

Marketing and sales11.1%
Generating images, sound or video9.9%
Generating text or speech9.7%
Office work and decisions9.6%

Źródło: GUS, Information society in Poland in 2026 (2026) ↗

Generating images, sound and video grew fastest: by 7.0 points in one year. Generating text or speech grew by 4.4 points.

Poland compared with the European Union

The latest EU comparison is for 2025. Eurostat then gave 8.4% for Poland, against an EU average of 20.0%. Only Romania had a lower result.

Enterprises using AI in 2025

Firms with at least 10 employees. Eurostat figures for 2026 are not yet available.

Denmark42.0%
Finland37.8%
Sweden35.0%
EU average20.0%
Bulgaria8.5%
Poland8.4%
Romania5.2%

Źródło: Eurostat, 20% of EU enterprises use AI technologies (2025) ↗

Set the Polish result for 2026 against the EU average for 2025 and the gap falls from 11.6 to 2.2 points. That compares figures from two different years. A full comparison will come only with Eurostat's publication for 2026.

Across the EU, firms used AI most often to analyse text (11.8%), to generate images, video and sound (9.5%), to generate language (8.8%) and for speech recognition (7.2%).

People use AI more often than companies

According to GUS, 39.8% of people in Poland aged 16 to 74 used AI tools in the previous 3 months. That is 17.1 points more than a year earlier.

People in Poland using AI tools, 2026

In the 3 months before the survey.

Aged 16 to 2472.5%
Everyone aged 16 to 7439.8%
Aged 65 to 749.0%

Źródło: GUS, Information society in Poland in 2026 (2026) ↗

These are two different populations: people and enterprises. Together they show that many employees already know ChatGPT or Claude from a private account. When the company gives them no tool and no rules, part of the work with company data ends up on private accounts.

What holds Polish companies back

According to the European Commission (2026), half of the small and medium-sized companies in the EU name high investment costs as a barrier to AI. 48% name a lack of expertise.

Two barriers and an answer to each
  • Cost

    50%

    of small and medium-sized EU companies name high investment costs. The first two steps with us cost €0, and you know the price of the system before the contract.

  • Expertise

    48%

    of small and medium-sized EU companies name a lack of expertise. A team rollout includes training on the tasks people do every day.

Source: European Commission, Growing use of AI in European companies (2026).

The opportunity while AI use is low

The national average does not tell you how many of your competitors use AI. It shows only that 82.2% of Polish firms do not use it yet. In many sectors this is still a time when one well-chosen process gives an advantage.

The advantage rarely comes from the model itself. Anyone can buy a model. An orderly process, data on client cases and a team that can work with the system are harder to copy.

Where companies start, with a cost scenario

The amounts are scenarios of the cost of manual work from our use-case pages, counted at €34.90 an hour (Eurostat, EU 2025). Each page shows the assumptions, the formula and the payback.

Where to start in your company

Four steps to the first rollout
  1. 01Count the bottleneckWhere the team loses the most hours on repetitive work: email, documents, quotes, replies to clients.
  2. 02Choose one processOne with volume, repeatable steps and a person responsible for the result.
  3. 03Check it before you buyA test on 20 to 100 cases the team has already handled shows the result before the decision.
  4. 04Measure after the startWorking time before the rollout and after 30 days. You choose the next process from the numbers.

We describe the GUS figures by region in the article AI in Polish companies by region.

Worked example · Scenario

Where to start: one process counted in euros

Firms that start pick one repetitive piece of work and count what it costs. This is that count for client email in an accounting firm.

€3,022

a month for a firm spending 20 hours a week on client email

Payback: 1.2 mo.

Today our system at foap.com drafts a reply to every email that needs one (October 2026). That email time grows with the number of emails, that checking takes 15% of the old time and how many hours of email a firm of each size has are our assumptions. €34.90 an hour is the EU average hourly labour cost for 2025 according to Eurostat, for companies with 10 or more employees. We count the model at €9.87 per 1,000 emails (Claude Sonnet 5.5, 3,000 + 500 tokens per email, at the ECB rate of 1.1205 USD per euro on 22 October 2026), at 3 minutes of work per email.

See the full calculation →

This is how we implement it in companies

All case studies →

Client results.

All projects →
foap.comcustomer service

foap.com customer service: 95% of replies are sent automatically.

Users from several countries write to foap.com, in several languages. The system reads the entire conversation and the terms of that person, and then sends a response in that person's language. Questions about money and exceptions go to the team with a ready draft, so they have to check and send them.

the system sends the answers itself, without human typing
95%
time from the arrival of the e-mail to the ready response (median)
30 s
e-mails that require a response receive a ready-made draft
100%
less work for every 1000 answers (estimate)
47 h

Data from foap.com production, October 20-21, 2026. Estimate: 3 minutes for handwritten response.

How foap.com customer service works →
Sample messages. Money matters always come to the person.

Other implementations

jaktako.design

studio projektowe

−87%

Time to look for new customers, every day

4 hours → 30 min

approx. 73 hours less per month (21 days of work)

according to the studio

How the agent loop works →
Signature Estates

real estate

approx. −90%

Operator time spent browsing portals, per day

2–3 hours → 20 min

approx. 45 hours less per month (21 days of work)

respect · contact the seller 5 minutes after the announcement

How the agent finds property listings →
Kuba Koziej, CEO and co-founder of MoreGrowth and board member at Natu.Care

Kuba Koziej

CEO and co-founder, MoreGrowth

„We started with my own AI agent. During the training that followed, I learned to build new applications myself. Today I am bringing this way of working with AI into my business. Working with Syntalith gave me exactly the skills and tools I needed.”

View the original training review on LinkedIn ↗

Start with the process that takes the most time each week.Book a free process review (30 min) →

How we build automation and agents

From a conversation to a working system in four steps.

  1. 01 · 30 min

    Free process review

    €0

    You're talking to an engineer. You receive the written plan within 2 business days.

  2. 02 · 5 days

    Free prototype

    €0

    The system works on 20-100 cases that your team has already handled. You see every result.

  3. 03 · 2–16 weeks

    Build

    50%

    Fixed price and goal written in the contract. First installment upon signing.

  4. 04 · after reaching the goal

    Reception

    50%

    You pay the second installment when the system reaches its target on your cases.

How a free prototype is created

Mon.

We set a goal

What result do you consider good?

Tue–Wed

The system is working

It goes through your affairs, one by one.

Thu

We compare

We check every difference with the team's work.

Fri

Result and price

List of errors and fixed implementation price.

You choose the matters. We anonymize them upon request, they stay in the EU and we delete them after the test.

On the market, such a test usually costs from PLN 3,000 to PLN 8,000.

Book a free process review (30 min)

We establish a prototype during a free analysis.

Data checked on October 25, 2026.

„Is my data safe?”

Yes. You choose where they go: from your company account to the model on your server.

  1. 00Employee's private account

    Customer and company data ends up in an account that the company cannot see or control. There is no data processing agreement, so it is a violation of the GDPR. When an employee leaves, the chat history goes with them.

  2. 01ChatGPT or Claude corporate account

    The provider does not use your data to train models. A copy of the queries remains in his logs for up to 30 days.

  3. 02API with zero retention (ZDR)

    The provider processes the request and does not save anything. It requires his consent, we prepare the application together.

  4. 03Processing in the EU

    Queries are counted and stored in Europe: OpenAI in the EU region, Claude via clouds with the EU region.

  5. 04Model at your place

    The open model runs on your server or in your cloud in the EU. The data does not go outside the company.

What we do with every implementation

  • Confidentiality agreement and data processing agreement before we receive any data.
  • You choose the cases for the prototype and we anonymize them upon request.
  • The data stays in the EU and we delete it after the test.
  • Corporate accounts with an administrator on your side.

When data cannot leave the company

The open model runs on your server or in your cloud in the EU. To choose from:

White-tailed eagle
Polish model, SpeakLeash and ACK Cyfronet AGH
PLLUM
Polish model, HIVE consortium commissioned by the Ministry of Digitization
Qwen
Alibaba
GLM
Zhipu AI
DeepSeek
DeepSeek

We select a model for the task and check it on your cases. We run it, tune it and maintain it.

Source: Bielik and PLLuM, ACK Cyfronet AGH ↗ · PLLuM, Ministry of Digitization ↗

Do you have a lot of your own data? We will fine-tune the small model.

  1. 1 Your examples
  2. 2 tuning
  3. 3 test on new cases
  4. 4 model at your place

When you have thousands of similar emails, documents or reports, we teach a small open model based on your examples. It works for you, responds quickly and costs less to maintain than a large model. We measure quality on issues that the model has not seen while learning.

Przemysław and Piotr did it in large programming and consulting companies. Artem did it before and does it today at Syntalith. It's about models on your own infrastructure, tuning and quality measurement.

You choose the protection level during the interview. We sign the data processing agreement before we see any data.Schedule a free analysis →

AI implementation

Start with the process that takes the most time each week.

The engineer chooses one process with you and calculates how much it costs today. Then we build a free prototype on 20-100 cases that your team has already handled. We write down the goal and the fixed price in the contract.

See AI implementation →
analysis with an engineer and a free prototype
€0
team in ChatGPT or Claude, up to 10 people
from €1,150
automation, agent or application for one process
from €3,000

Questions

  • How many Polish companies use AI in 2026?

    According to GUS, 17.8% of Polish enterprises, twice as many as in 2025, when the share was 8.7%. GUS published these figures on 21 October 2026.

  • What do Polish companies use AI for most often?

    According to GUS, most often in marketing and sales (11.1% of firms) and in office work and decision processes (9.6%). Generating text, images and sound grows fastest.

  • How does Poland compare with the EU?

    According to Eurostat, 20.0% of EU companies used AI in 2025, and 8.4% in Poland. Eurostat has not yet published the EU figures for 2026.

  • Where should a company start with AI?

    With one repetitive piece of work and what it costs today. In the free 30-minute review we count that cost with an engineer, then we test the system on 20 to 100 cases the team has already handled. You pay €0 until you decide.

Let's talk

Just write, call or choose a date.

We work fast because we hate corporate cotton wool. We don't have salespeople or managers to keep an eye on managers. You talk immediately to engineers who then build your system. We respect each other's time and yours too.

We will accept 3 more companies by the end of the year.

Mon–Fri 9:00–17:00 CET

What our OpenAI and Anthropic partnerships mean for you.

OpenAI makes ChatGPT and Anthropic makes Claude. We belong to the partnership programs of both companies, so we work with their tools every day and learn from the creators themselves.

OpenAI Select PartnerClaude Partner Network
01We will select a tool for the task
We implement both ChatGPT and Claude. We check both on your documents, and you choose the one that makes fewer corrections and saves more time.
02Knowledge straight from the creators
We learn from official OpenAI and Anthropic courses and materials. Your team learns about the features and settings that work today.
03Licenses without our margin
When we roll out ChatGPT, Claude or Copilot, you buy the licences directly from OpenAI, Anthropic or Microsoft and they invoice you. We add nothing to the licence.
04Certified engineers
On the team, we have an AWS certification in machine learning and an Anthropic certification in systems architecture on Claude.

Participation in programs does not mean that OpenAI or Anthropic endorses our services.