Job listings and other indicators: SpaceX is working on a Bastrop, TX foundry to build blades for large gas turbines, which could ease its AI power crunch (Ann Davis Vaughan/The Information)

What skills are needed of CEOs in the AI era? A headhunter on the bittersweet future The rapid development of AI (artificial intelligence) is drastically changing the business environment. In order to survive in this new era, companies need to drastically change their organisations and management styles. A headhunter who has introduced numerous top executives to major companies had a talk with a journalist about what CEOs need in order to be successful in the AI era. The headhunter said that in the AI era, top executives need to have a wide range of skills, including digital literacy, which is an understanding of AI and data, as well as leadership skills that enable them to promote drastic reforms. The headhunter also said that it will be difficult for companies to find people who have all of these skills. In the future, it will become clear which companies will be able to secure top talent. The headhunter also said that even if a company has a CEO with excellent skills, if the rest of the organisation is not also reforming, then the CEO alone cannot change the company. The headhunter said that in order to survive, companies need to change drastically, including their organisations and personnel evaluation systems. The headhunter said that there are many companies that are not aware of the need for drastic change. The headhunter said that many companies will not be able to cope with the changes brought about by AI and will disappear. The AI era is approaching rapidly. It has become a matter of life and death for companies as to whether or not they can secure top talent and change drastically.

2026-08-29 ·asahi.com

What skills are needed of CEOs in the AI era? A headhunter on the bittersweet future The rapid development of AI (artificial intelligence) is drastically changing the business environment. In order to survive in this new era, companies need to drastically change their organisations and management styles. A headhunter who has introduced numerous top executives to major companies had a talk with a journalist about what CEOs need in order to be successful in the AI era. The headhunter emphasized that in order to survive in the AI era, top executives need to change their attitude towards data. In the past, making decisions based on experience and intuition was often enough, but in the AI era, making decisions based on data is becoming increasingly important. The headhunter also said that top executives need to have a deep understanding of new technologies such as AI and digital transformation. They also need to have the ability to promote digital transformation within their organisations. In addition, the headhunter emphasized that top executives need to have a strong leadership and the ability to make tough decisions. In the AI era, companies need to be able to adapt quickly to changes in the business environment, and top executives need to be able to lead their organisations in this process. The headhunter also noted that the AI era will bring many challenges for top executives, but it will also bring many opportunities. Top executives who are able to adapt to the new era and lead their organisations to success will be highly rewarded. However, those who are unable to adapt will struggle to survive. The headhunter concluded that the AI era will be a bittersweet future for top executives, but with the right skills and mindset, they can succeed and lead their organisations to success. The AI era is coming, and top executives need to be prepared. They need to develop the skills and mindset needed to succeed in this new era. The headhunter's advice is clear: top executives need to change their attitude towards data, develop a deep understanding of new technologies, and have strong leadership and decision-making skills. Only then can they succeed in the AI era and lead their organisations to success.

2026-08-29 ·asahi.com

Canonical-basis realignment for Transformer LLMs: every hidden axis becomes independently measurable and controllable

The code essentially gives you a way to rotate a Transformer's internal coordinate system into a canonical basis that aligns with its own weight matrices in a lossless way.

2026-08-29 ·github.com

The State of Conversational AI in 2026, measured

We spent the last few weeks trying to answer a simple question with numbers instead of vibes: what does the conversational-AI stack actually look like in 2026, and what's changing?

2026-08-29 ·dev.to