JPMorgan: The Era of AI Hype Is Over, Real-World Use Begins
Kevin Brunner, head of investment banking at JPMorgan, said the era of AI hype is over. The technology is moving from grand predictions to real deployment and concrete results. According to him, companies are no longer just talking about AI. They are actively using it and seeing results.
AI-processed from Bloomberg Tech; edited by Hamidun News
Kevin Brunner, a senior executive at JPMorgan Chase who heads global investment banking and mergers and acquisitions, said that artificial intelligence is ceasing to be a buzzword and is entering a stage of real practical use with concrete business results.
The end of the era of promises
A few years ago, AI seemed to embody every hope and futuristic fantasy. At conferences, it was described as a revolution that would turn the whole world upside down. But the enthusiasm rested more on potential than on actual achievements. Investors put money into startups based on ideas and prototypes. The media wrote about the coming robot revolution. But tangible, large-scale results were few.
Now the situation is changing. According to Brunner, companies are moving from a stage of excitement and loud promises to practical deployment. AI is no longer a theoretical future or a reason for speculation. It is a working tool of the present, built into real business processes.
Real examples in action
Empty talk of revolution is giving way to concrete examples with figures and results. Financial companies are applying AI not in labs but in live production conditions. These are not experimental projects with a budget of a few million, but strategic investments integrated into the core of the business.
JPMorgan itself actively uses machine learning for risk analysis, fraud detection and portfolio management. Other banks are following the same path. The results show up in improved operational efficiency, fewer errors and better customer service.
- Analysis of market trends and volatility forecasting with neural networks
- Personalization of financial recommendations for millions of clients
- Automation of regulatory compliance checks and detection of suspicious transactions
- Faster processing of credit applications and documents
- Analysis of alternative data for investment decisions
A reassessment of the AI startup market
Brunner's words matter in the context of the investment climate and the repricing of AI companies. JPMorgan is one of the largest global investment banks, and its position influences startup valuations and investor expectations. When a leader of this stature talks about moving from hype to reality, it is not just an opinion. It is a signal to the market.
In recent years the financial market has been obsessed with AI: valuations soared into the billions around every AI idea, investors lined up, and startups handed out shares freely. This led to overvaluation of many companies that had more noise than results. Now a period of weeding out is beginning: companies that only make promises will start losing to those that show results.
What this means
The shift from hype to reality is a good sign for the whole AI ecosystem. It means the technology is growing not on noise and speculation but on real usefulness. For investors the signal is clear: move from gambling on potential to well-founded investments in companies with proven results.
Key Questions Answered
What are the key details on The end of the era of promises?
A few years ago, AI seemed to embody every hope and futuristic fantasy. At conferences, it was described as a revolution that would turn the whole world upside down. But the enthusiasm rested more on potential than on actual achievements. Investors put money into startups based on ideas and prototypes. The media wrote about the coming robot revolution. But tangible, large-scale results were few. Now the situation is changing. According to Brunner, companies are moving from a stage of excitement and loud promises to practical deployment. AI is no longer a theoretical future
What are the key details on Real examples in action?
Empty talk of revolution is giving way to concrete examples with figures and results. Financial companies are applying AI not in labs but in live production conditions. These are not experimental projects with a budget of a few million, but strategic investments integrated into the core of the business. JPMorgan itself actively uses machine learning for risk analysis, fraud detection and portfolio management. Other banks are following the same path. The results show up in improved operational efficiency, fewer errors and better customer service. Analysis of market trends an
What are the key details on A reassessment of the AI startup market?
Brunner's words matter in the context of the investment climate and the repricing of AI companies. JPMorgan is one of the largest global investment banks, and its position influences startup valuations and investor expectations. When a leader of this stature talks about moving from hype to reality, it is not just an opinion. It is a signal to the market. In recent years the financial market has been obsessed with AI: valuations soared into the billions around every AI idea, investors lined up, and startups handed out shares freely. This led to overvaluation of many companie
Ship AI Faster with Founders, Engineers & Weekly Architecture Reviews
Inside Vibe Club (hamidun.com/club) — weekly live masterminds with Zhemal Khamidun, Tech Radar, full LMS access, and 370+ production Claude Code skills.
The AI world, distilled — once a week
Seven stories that actually mattered, hand-picked. No noise, no reposts, no press releases.
Done! Check your inbox for a confirmation.