470 000 000 000
IDC Worldwide AI and Generative AI Spending Guide 2026 V2 prognozuje, że europejskie wydatki na AI osiągną blisko 470 mld dolarów do 2030 roku
IDC09/2026Europe
A neural network architecture that underpins virtually every large model today — whether language, image, or audio. Its core is the attention mechanism: the model looks at all other parts simultaneously while processing each segment and autonomously determines which are most relevant.
Why it matters
This invention launched the current wave of artificial intelligence. Earlier networks processed text sequentially, word by word, losing context in longer sentences. The Transformer sees the whole at once, enabling better context understanding and allowing parallel training across thousands of GPUs.
What's missing without it
Without the Transformer, there would be no ChatGPT, machine translation at today’s level, or image generation from text descriptions. Models would have remained at the 2017 level.
When it is used
Every time you use an AI assistant, image generator, or automatic translation. The 'T' in GPT — the last letter — stands for Transformer.
How we use it
In image generators, the term 'transformer' refers to a specific part of the model — the component that generates the image. Text encoders are separate and can be counted independently, which helps save memory on weaker hardware.
Numbers worth knowing
Artificial intelligence in data
470 000 000 000
Prognozowane całkowite wydatki na AI w Europie w 2030 roku według IDC Worldwide AI and Generative AI Spending Guide 2026 V2
IDC09/2026Europe
26%
Prognozowany udział w pełni elektrycznych pojazdów (BEV, bez hybryd) w europejskim parku samochodowym do 2035 roku, w porównaniu z 4% w 2025 r.
BCG2035Europe
Figures from the same field — collected in our market data base.