February 24 – March 2, 2026
The AI stories that shaped the week
Meta announced a multiyear agreement to purchase up to $100 billion worth of AMD chips, including MI540 GPUs, to diversify AI infrastructure beyond NVIDIA and support its personal superintelligence development goals.
Why it matters: Signals major shift toward vendor diversification in AI compute and the massive scale of capital required to compete in the superintelligence race.
Read source →Samsung launched the Galaxy S26 series at Unpacked in San Francisco, with the flagship device built around on-device Galaxy AI for everyday interactions — representing a major push toward AI-native consumer hardware.
Why it matters: Consumer smartphone market is consolidating around on-device AI capabilities, shifting the competitive focus from raw specs to AI integration and user privacy.
Read source →Perplexity introduced an autonomous "digital worker" that orchestrates 19 different AI models as sub-agents, capable of running entire workflows by treating multiple models like specialised team members handling parallel tasks.
Why it matters: Multi-agent orchestration is becoming a core competitive feature, allowing smaller companies to compete with larger AI labs by smartly combining best-in-class models.
Read source →Payment company Block announced layoffs of over 4,000 employees (approximately 40% of staff), with CEO Jack Dorsey citing AI tools that enable smaller, more efficient teams. The announcement reignited debate about AI's immediate economic impact on employment.
Why it matters: Executive leadership is openly citing AI as justification for mass layoffs, signalling that workforce displacement is accelerating faster than reskilling programs can accommodate.
Read source →OpenAI announced a $110 billion funding round at a $730 billion pre-money valuation — one of the largest private fundraising rounds in history. Investors include SoftBank, NVIDIA, and Amazon.
Why it matters: Sets new benchmark for AI startup valuations and indicates venture confidence that frontier AI development justifies massive capital commitments despite regulatory uncertainty.
Read source →The Trump administration ordered federal agencies to cease using Anthropic technology with a six-month phase-out, designating the company a supply-chain risk. The dispute stems from Anthropic's refusal to allow unrestricted government use of Claude for surveillance and autonomous weapons applications.
Why it matters: Demonstrates escalating tension between AI safety principles and national security interests, with policy weaponisation of AI procurement creating new competitive dynamics.
Read source →Alibaba released Qwen 3.5 Small, a family of four dense open-source models (0.8B to 9B parameters). The 9B model scored 81.7 on GPQA Diamond, outperforming much larger models and expanding access to high-performance AI.
Why it matters: Open-source models are closing the performance gap with proprietary systems, democratising access and fragmenting market control away from closed-source vendors.
Read source →Anthropic research revealed that AI is significantly accelerating cybercrime, with ransomware attacks rising 8% in 2025. Threat actors are leveraging AI for rapid exploit generation and social engineering at scale.
Why it matters: Quantifies the dual-use security problem: frontier AI models empower both defenders and attackers, requiring urgent investment in defensive AI and threat response capabilities.
Read source →Researchers found that generative AI systems now match the average human score on standardised creativity assessments, challenging assumptions that creative thinking is uniquely human. The milestone raises questions about the nature of creativity itself.
Why it matters: Erodes the narrative that humans retain exclusive domains in creative work, potentially accelerating adoption of AI in creative industries while sparking philosophical debate.
Read source →Anthropic announced a $30 billion Series G fundraise at a $380 billion post-money valuation, becoming one of the most highly-valued AI companies. The round was oversubscribed by 3x, reflecting investor appetite for serious AI safety-focused labs.
Why it matters: Proves the market rewards AI safety principles despite regulatory tensions, validating Anthropic's approach and fuelling the growing AI arms race with record capital commitments.
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