Tech Companies Look at Cheap AI

Big AI models are expensive. Now companies look at cheap AI models. A man named Brian Armstrong has a prediction. He says 80% of AI work will use cheap models. Only 20% of work will use big models. This is a big change for AI companies. Many AI companies use big models now. They think big models are the best. But big models cost a lot of money. Some companies test cheap models. A company called Harvey does a test. Harvey is a legal AI tool. It uses a cheap model for easy work. It uses a big model for hard work. The test is good. The cost goes down. The quality stays the same. Gabe Pereyra works at Harvey. He says quality is first. But quality is changing. Now companies want the best model for the job. Some cheap models are from China. Some cheap models are open-weight. But the real question is big models vs small models. Companies can save money with small models. They can use GPT-5.4-mini or DeepSeek V4 Flash. The price war is active. Small models are cheap. Big models are expensive. This is new for the AI industry. Before now, companies used only big models. Now they look at small models. It is not clear what will happen. But the change is big.
Take a position. Out loud, if you can.
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What does Brian Armstrong predict?
Present simple for facts
We use present simple to talk about facts and general truths. The verb does not change for he/she/it except adding -s.
“Big AI models are expensive.”
What to know · A1
Try saying this aloud
Scenario: Talking about AI models with a friend
- 01“The model is cheap.”
- 02“The company does a test.”
- 03“Quality is good.”
Register tip · informal
🔑Key Phrases
This is the main topic of the article. At A1, learners see a simple noun phrase with an adjective.
I want a cheap phone.
This phrase shows a common adjective-noun combination. Learners can use it in many contexts.
The weather is a big change today.
🎙️ Article Audio — Kokoro TTS
Tech Companies Look at Cheap AI
Adapted from TechCrunch · Read the original. LinguaPress rewrites the facts as original graded-reader text for language learners.
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