Many companies have rethought their use of Artificial Intelligence (AI). The reason for this is the sharply increased costs for large language models. These are AI programs like ChatGPT. What first looked like unlimited computing power turned into an expensive cost trap.
This is important because it shows that the initial enthusiasm for unlimited AI resources is waning. Instead, companies are now looking closely at costs. It's no longer just about using AI. It's about using AI profitably. For you, this means: companies must carefully check what they use AI for. Otherwise, they quickly spend a lot of money. This could affect products and prices.
This approach is called "Modelmaxxing." Some large tech companies are happy about their high consumption of "tokens." Tokens are the computing units that an AI consumes. Other companies have to change their strategy. They now use their AI models much more selectively. This way, they reduce costs that arise from thoughtless use. The trend towards "Tokenmaxxing," i.e., consuming many tokens, is over. Now, efficiency counts.
As a private individual or freelancer, you notice this change when you use AI tools yourself. If companies have to save costs, the prices for certain AI services could change. It becomes more important to know exactly which AI you need for which task. This way, you don't pay too much yourself. You might learn that a simpler, cheaper AI is sufficient for your everyday life. You don't need the most expensive model then.
For companies, "Modelmaxxing" is a way to save money. They no longer use the strongest and most expensive AI for every request. Instead, they choose the model that precisely fits the task. A complex AI agent that answers emails independently is expensive. For quickly translating an internal memo, a significantly cheaper model is sufficient. Those who plan smartly here save a lot of money. This protects their profit margins from high AI bills.
The great opportunity lies in controlling costs and becoming more efficient. Companies can now optimize their spending. They ensure that every euro spent on AI brings real benefits. A market for consultants and tools is emerging. These help companies analyze their AI processes. They then find the right model. This way, AI transforms from a cost factor into a predictable engine for growth.
