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India AI Summit Opening Hit by Chaos

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India’s AI Impact Summit in New Delhi began under heavy criticism after attendees reported long queues, overcrowding and organizational confusion at the venue.

Delegates said unclear instructions forced many to scramble for belongings after sections of the exhibition hall were suddenly cleared for security checks ahead of high-level arrivals.

Some speakers scheduled for upcoming panels were still awaiting confirmation of sessions, while journalists struggled with entry procedures due to confusion between digital QR codes and physical access passes.

With around 250,000 visitors expected, poor signage and limited seating reportedly added to the disorder, preventing some participants from accessing sessions.

The summit is being positioned by Indian authorities as a global platform for developing nations to shape the future of AI governance.

However, the disorganization risked overshadowing the country’s broader message about its ambitions to become a major player in the artificial intelligence landscape.

Chinese AI Race Heats Up for New Year

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China’s artificial intelligence sector is entering a new phase of competition as major tech firms unveil new models during the Lunar New Year period.

A year after DeepSeek disrupted the global industry with its powerful R1 and V3 models, rivals are accelerating development to avoid being overshadowed again.

DeepSeek is expected to introduce its next-generation V4 model soon. The company has already expanded its chatbot’s memory capacity dramatically, allowing it to process far larger volumes of information in a single task.

Other companies are moving quickly. ByteDance launched its Doubao 2.0 chatbot and Seedance 2.0 video-generation system, both designed for complex multi-step tasks. Alibaba is preparing its Qwen 3.5 model, while Zhipu introduced the open-source GLM-5 with stronger coding abilities.

Tencent has released a compact AI model optimized for consumer devices, and iFlytek unveiled Spark X2, trained entirely using domestic chips. NetEase Youdao and Dexmal also launched agent-based systems focused on automation and robotics.

Many of these tools aim to support the emerging “agent era”, where AI systems perform real-world tasks rather than simply generating responses.

The rapid wave of releases highlights China’s push to build competitive, lower-cost AI alternatives and reduce reliance on foreign technology.

Siemens Raises 2026 Outlook on AI Data Centre Boom

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Siemens lifted its full-year 2026 profit guidance after stronger-than-expected first-quarter results, fueled by accelerating demand for AI-driven data centre infrastructure. Shares rose more than 6% in Frankfurt trading following the announcement.

CEO Roland Busch said revenue linked to data centres climbed by more than one-third in the quarter through December, describing demand as having “considerably exceeded expectations.” The company now expects to sustain that momentum through fiscal 2026.

Industrial profit increased 15% year-on-year to 2.90 billion euros, surpassing analyst forecasts of 2.64 billion euros. Net profit reached 2.22 billion euros, also ahead of expectations. First-quarter sales rose 4% to 19.14 billion euros, while orders climbed 7%.

As a result, Siemens raised its basic earnings outlook for the fiscal year ending September to between 10.70 and 11.10 euros per share, up from its prior forecast range of 10.40 to 11.00 euros.

Analysts highlighted strong performance in Siemens’ Digital Industries division, particularly in factory automation and industrial software. The company continues expanding industrial AI applications, including logistics robot training systems, AI-powered machine diagnostics, and accelerated product design tools that reduce development cycles from weeks to days.

While automotive demand remains moderate, Siemens reported growing momentum in defense, aerospace, pharmaceuticals, and industrial machinery sectors. However, management cautioned that global investment sentiment remains uncertain amid ongoing geopolitical tensions and tariff debates.

The results underscore how AI infrastructure spending is extending beyond chipmakers and cloud providers into traditional industrial engineering leaders.