Does AI Really Help in Business?
Many companies wonder if AI is worth the cost. Even the leaders of big AI firms changed their minds. They now say AI will not take as many jobs as they first thought.
This is good news for workers. But what does it mean for businesses? Are investments in AI still a smart move?
The truth is that AI does help, but not in the way marketing says. AI works best as a tool for people. It does not replace whole teams. This is important to understand before you spend money.
AI w Biznesie helps companies see the real picture. We show how to use AI as a helper, not a replacement.
Why Did AI Leaders Change Their Minds?
Sam Altman and Dario Amodei Tell the Truth
Sam Altman from OpenAI said he was wrong. He thought AI would quickly replace many office jobs. Dario Amodei from Anthropic also changed his view. He earlier talked about a 50% loss of jobs.
Now both see that AI mostly expands people’s work. It does not remove it. This is a big change in thinking about technology.
Even Goldman Sachs confirms this trend. Their leader says he does not see mass layoffs because of AI.
Sam Altman Stopped Using AI for His Own Work
This is surprising, but the creator of ChatGPT went back to manual work. He tried to use AI to answer emails and Slack messages. After some time, he gave up.
This shows that even experts struggle with AI. If they cannot fully replace themselves with AI, regular companies cannot either.
This does not mean AI is useless. It means you need a good plan and a change in how you work.
AI w Biznesie teaches companies to plan their AI use carefully. We help avoid the same mistakes.
The Truth About Layoffs in Tech Companies
Companies Use AI as an Excuse
We saw many layoffs in recent years. Duolingo let go of 10% of its contractors. Pinterest and Meta also cut jobs. Everyone said it was because of AI.
But the truth is different. These companies hired too many people when interest rates were low. Now they need to save money. AI is a convenient excuse.
The head of AWS said something important. He said replacing junior workers with AI is a dumb idea. Juniors are cheap and learn new tools. Without them, the company will have no future experts.
Jack Dorsey and the Block Example
Jack Dorsey fired 50% of Block’s workers. He said AI would let him work with 1000x efficiency. But is that true?
Probably not. The company was simply too big. When Elon Musk bought Twitter, he also fired many people. The company kept running because it had too many workers.
The same is happening at Block. AI did not replace people. It turned out they were not needed from the start.
AI w Biznesie helps companies see the real reasons for layoffs. We focus on smart growth, not excuses.
Why AI Does Not Cause Mass Layoffs
The Job Market Is Stronger Than You Think
Apollo Research, a well-known research firm, says there is zero proof of job loss from AI. The number of employed people is growing, not shrinking.
This is the Jevons paradox. When technology becomes cheaper, we spend more on it, not less. This creates new tasks and new jobs.
Companies find new uses for AI. They need people to guide, check, and improve these systems.
More Spending on AI, More Jobs
Data from ADP (a payroll company) shows job growth. Since November 2024, when AI models got better, companies spend more on AI. At the same time, they hire more people.
This goes against the story of white-collar jobs in danger. We see growth in productivity, spending, and hiring. All at the same time.
So what is happening? Companies are not replacing people with AI. They use AI to do more things. And for that, they need more workers.
AI w Biznesie shows companies how to grow with AI. We help find new tasks that need human skills.
Why Is AI Implementation So Hard?
Most Companies Do Not Use AI Well
Only a few hundred people in the world really know how to use AI at a high level. Everyone else uses it for simple tasks: writing emails, summarizing documents, simple automation.
This is not bad, but it does not give big results. Real value needs a change in the whole work process. This is hard and slow.
Companies like Uber spend huge money on AI. Their COO says it is hard to justify these costs. They used their whole AI budget for 2026 in 4 months. The results? Not clear.
AI Costs Rise, Not Fall
The best AI models are expensive. Claude Opus costs $25 per million tokens. A token is a small piece of text. With many tokens, the bill grows fast.
But most companies do not need the best models. Cheaper models, like Sonnet or DeepSeek, cost a fraction of that price. DeepSeek from China costs only 87 cents per million tokens.
Choosing the right model is key to saving money. Not every task needs the most expensive AI.
The Problem with the End Result
Even if AI writes a lot of code, that is not enough. The code needs to be packaged, sold, and explained to the team. Users need to use it and get value from it.
These are bottlenecks that AI does not solve. You need people for marketing, sales, and customer service. Without them, even the best AI will not give results.
Anthropic and OpenAI understand this. They invest billions in consulting firms. They teach companies how to use their products. This shows that the tool alone is not enough.
AI w Biznesie offers hands-on help with AI implementation. We guide companies step by step to avoid costly mistakes.
The Difference Between Promise and Reality
AI Is Good in the Middle, Not at the Ends
AI is great at middle-to-middle work. This means it takes a task and does it well. But it cannot start from zero or finish completely.
You need a person at the start to tell AI what to do. And at the end to check if the result is good. These roles do not go away. They even grow because there is more work to check.
This is key to understanding AI. It does not replace all work. It changes and expands it.
Startups Sell the Future, Not the Present
A company called Pulsia raised $30 million for AI that runs a business. They say: press a button, and AI builds your company. Sounds great, but it does not work today.
The same is true for Y Combinator. They talk about building a native AI company. This is a vision of the future, not reality. Many people think it is possible now.
This leads to disappointment. People try and get no results. They think they are doing something wrong. But the truth is that the technology is not ready yet.
What to Do Today?
The best advice: learn the tools. Experiment. Use AI in your personal life and at work. Be the first person in your company who really knows AI.
This will give you an edge. You do not need to build a company from scratch with AI. You just need to use it better than others.
AI w Biznesie helps companies in this process. We teach how to implement AI step by step. Without promises that it will replace everything. With real examples and practical solutions.
Are We in an AI Bubble?
Short Answer: No
AI will not destroy the job market. This is good news. Companies invest billions, but this is an investment in the future. Not in an instant revolution.
Technology is growing. We find new uses. But this takes time. Companies must adapt, change processes, and train people.
This is not a bubble. It is a slow but real change. Like the internet in the 1990s. At first there was hype, then a crisis, and then real growth.
What to Do as a Company?
Do not wait for AI to replace everything. Start with small steps. Pick one process you want to improve. Use AI to speed it up. Check if it works.
Train your team. Invest in learning. Do not buy the most expensive models. Choose ones that fit your tasks.
Remember: AI is a tool, not magic. It gives value only when you know how to use it. And that takes practice and patience.
AI w Biznesie offers support in this process. We help companies understand how AI can help. Without overblown promises. With real results.
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