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😬 Why No Hand-Holding?

The awkward moment between Sam Altman and Dario Amodei that has everyone talking about the future of AI rivalry.

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Tech leaders Sam Altman and Dario Amodei awkwardly refused to hold hands during a symbolic unity pose at an AI summit. This high stakes drama is unfolding right as Amazon Web Services suffers cloud outages triggered by its own internal artificial intelligence tools. However the industry is not all doom and gloom since ninety percent of telecom executives report massive revenue boosts from AI automation, proving that if the phone companies can actually figure out how to make things run smoothly and profitably then there is still plenty of hope for the rest of us.

Here's what's making headlines in the world of AI and innovation today.

In today’s AI Pulse

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  • šŸ™…ā€ā™‚ļø Altman and Amodei – Reject Stage Handrise

  • šŸ›‘ AI Tools – Trigger Amazon Cloud Outages

  • šŸ“ˆ Telecom Executives – Report Huge AI Revenues

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🧠The Pulse

At India’s AI summit, Prime Minister Narendra Modi asked tech leaders to raise joined fists in a symbolic unity pose. While most complied, OpenAI’s Sam Altman and Anthropic’s Dario Amodei kept their fists apart, highlighting intense rivalry and sparking viral memes about an ā€œAI cold warā€.

šŸ“ŒThe Download

  • Awkward moment – Thirteen corporate leaders joined Modi on stage. Only Altman and Amodei declined to join hands. Altman later said he was confused about what to do.

  • Viral reaction – Social‑media users described the posture as emblematic of the fierce commercial rivalry between OpenAI and Anthropic. The clip circulated widely, earning the label ā€œAI cold war.ā€

  • Summit context – The summit unveiled the New Delhi Frontier AI Commitments and drew over $200 billion in investment pledges. Yet organisational lapses and traffic chaos marred attendees’ experience.

  • Broader rivalry – Anthropic’s founders split from OpenAI over safety and commercialisation disagreements. Rivalry intensified as Anthropic ran satirical ads during the Super Bowl mocking OpenAI’s plan to insert ads into ChatGPT.

šŸ’”What This Means for You

The AI industry remains fiercely competitive despite public calls for cooperation. Professionals should recognise that companies may champion open standards while pursuing aggressive market positions. Navigating multiple ecosystems and avoiding over‑dependence on one vendor will be crucial as the AI ā€œcold warā€ plays out.

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🧠The Pulse

The Financial Times reported that Amazon Web Services experienced two outages due to errors in its own AI tools. While details are scant, the incidents highlight how deeply embedded AI systems can disrupt cloud infrastructure when they malfunction, raising resilience concerns.

šŸ“ŒThe Download

  • Reported outages – AWS, the world’s largest cloud provider, suffered at least two disruptions that sources attributed to misbehaving AI tools. Reuters could not independently verify the report.

  • Embedded AI complexity – As cloud providers integrate AI into automation, optimisation and security features, errors within these systems can cascade across services. The outages underscore the need for robust testing and fallback mechanisms.

  • Business impact – Because AWS hosts critical workloads for governments and enterprises, any downtime can affect millions of users. Outages related to AI may erode trust in automated infrastructure and prompt customers to seek multi‑cloud or on‑premises redundancies.

  • Lack of detail – Neither Amazon nor the FT provided specifics about the affected services or causes. The episodes nevertheless serve as a warning for cloud clients to monitor service‑level agreements and plan contingencies.

šŸ’”What This Means for You

AI can introduce new points of failure in cloud environments. Professionals relying on AI‑enhanced services should ask vendors about safeguards and design their architectures for resilience. Implementing multi‑cloud strategies and contingency plans can mitigate risks if AI glitches disrupt critical operations.

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🧠The Pulse

Nvidia’s annual State of AI in Telecommunications survey found that nine in ten telecom executives say AI has increased revenue and reduced costs. Budgets will rise in 2026, and operators see autonomous networks and customer‑service improvements as top ROI drivers.

šŸ“ŒThe Download

  • Survey scope – The survey polled 1,038 telecom executives and practitioners worldwide. Respondents ranged from network operators to equipment providers and consultants.

  • Revenue and ROI – About 90 % said AI improved revenue and cut costs. 89 % expect to increase AI budgets next year, with 35 % planning double‑digit increases.

  • Key use cases – Autonomous networks topped the list, cited by 50 % of respondents, followed by customer‑service enhancements (41 %) and internal process optimisation (33 %). Nearly 60 % are using or assessing generative AI, and most see open‑source models as important.

  • Path to autonomy – Eighty‑eight percent of organisations are at early levels of network autonomy. Experts say generative and agentic AI will accelerate progress to fully autonomous networks, delivering ROI through energy management, fault prediction and capacity planning.

šŸ’”What This Means for You

As telecoms embrace AI to automate networks and customer interactions, expect improved reliability and service quality. Professionals in other sectors can learn from telecoms’ early ROI and plan for increased automation in their own operations, while keeping an eye on open‑source models and agentic AI trends.

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That’s it for today’s AI Pulse!

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šŸ™Œ About Us

AI Pulse is the official newsletter of AIGPEĀ®. Our mission: help professionals master Lean, Six Sigma, Project Management, and now AI, so you can deliver breakthroughs that stick.

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