Google Launches Gemini 2.5 Deep Think with Multi-Agent Problem Solving

The launch of Gemini 2.5 Deep Think comes at a time when major tech companies are heavily investing in AI development. Meta, for instance, has been seeing substantial returns on its AI investments, particularly in traditional machine learning applications rather than large language models ^[2]. This demonstrates the continuing value of established AI technologies alongside newer innovations.

The competitive landscape for AI talent remains fierce, with companies like Apple offering substantial compensation packages to attract and retain skilled professionals. According to recent salary data, machine learning engineers at Apple can earn up to $312,200 annually ^[3], reflecting the high value placed on AI expertise in the tech industry.

Google's AI innovations extend beyond Gemini, as evidenced by their simultaneous release of AlphaEarth Foundations, an AI model capable of processing terabytes of daily satellite data to provide detailed mapping of any 10-meter area on Earth ^[4]. This demonstrates the company's commitment to developing practical applications of AI technology.

The impact of AI on various industries continues to evolve, with Microsoft researchers identifying 40 professions likely to undergo significant transformation due to AI integration ^[5]. This highlights the broader implications of AI advancement for the global workforce and the need for adaptive career strategies.

1. Google’s Advanced AI Model Is Now Available to Try—for $250 a Month
2. AI is contributing to Meta’s growth – just not the kind anyone cares about
3. Apple salaries revealed: How much the iPhone giant pays AI staff, software engineers, and designers
4. Google's AlphaEarth AI Maps Any 10-Meter Area on Earth Using Satellite Data
5. Intelligence artificielle : voici les 40 métiers les plus vulnérables selon Microsoft