#AI

Stock futures are down as investors weigh AI’s broad market impact, with sectors from real estate to logistics feeling the pressure. Tech giants like Cisco and Apple saw significant drops. Eyes are now on the crucial January CPI report for inflation clues. Earnings provided mixed signals, with Pinterest disappointing and Instacart soaring. Meanwhile, a climate policy reversal and record NBA team valuations also made headlines.

Pinterest’s stock plummeted nearly 17% following a Q4 earnings report that missed revenue and profit expectations. The company cited tariff impacts and reduced ad spending from major retailers as key concerns. Despite this, Pinterest is doubling down on AI, planning workforce reductions and office downsizing to reallocate resources. While analysts expressed mixed views, the platform’s strong user growth, especially among Gen Z, offers a foundation for future monetization strategies driven by AI advancements.

Cohere, an AI startup, is showing strong enterprise growth, reporting $240 million in annual recurring revenue and over 50% quarter-over-quarter growth in 2025. This success comes amid intense competition from giants like Google, OpenAI, and Anthropic. Cohere’s strategy focuses on secure, scalable AI for businesses, particularly in regulated industries. The company’s capital-efficient model, generating revenue from software and offering flexible deployment options, contributes to its healthy gross margins and positions it for further expansion.

Anthropic has appointed Chris Liddell, a former White House official and executive, to its board. This strategic move aims to help the AI startup navigate complex regulatory and political landscapes surrounding generative AI. Liddell’s extensive experience in government and corporate governance is expected to be invaluable as Anthropic, known for its Claude AI models, seeks to balance technological advancement with responsible development and engage with policymakers.

Stocks stabilized Friday after a sharp sell-off driven by AI disruption fears. Despite broad market weakness, some software companies recovered. Financials, though hit hard, are showing stabilization, with some analysts upgrading. Morgan Stanley believes large banks may benefit from AI efficiency gains. Palo Alto Networks and CrowdStrike are eyed ahead of earnings. Texas Roadhouse earnings may face pressure from beef inflation.

During the Lunar New Year, China’s AI giants are locked in a fierce marketing battle, the “Lunar New Year AI War.” Companies like ByteDance, Baidu, Tencent, and Alibaba are investing heavily in giveaways and promotions to attract users and market share. This competition extends to technological advancements, with new models and capabilities being unveiled. Analysts see this as a crucial time to build user bases before rivals dominate, though profitability remains a concern. The government also signals strong support for AI development and commercialization.

AWS Chief Matt Garman believes fears of AI disrupting the SaaS industry are overblown. He argues that established software providers are well-positioned to leverage AI, as it will likely lead to increased overall technology consumption rather than outright replacement. While acknowledging AI’s transformative power, Garman emphasizes the necessity of continuous innovation for these companies to thrive amidst the evolving landscape.

Airbnb’s Q4 earnings report showed revenue exceeding expectations, marking the 20th out of 21 quarters of beating projections. While EPS fell short due to tax matters and investments, the company provided an optimistic outlook for the upcoming period, forecasting revenue growth above consensus. Nights booked and gross booking value also saw significant year-over-year increases. The appointment of a new CTO from Meta signals a strong focus on leveraging AI for future growth and enhanced user experience.

University of Hertfordshire researchers have developed an AI forecasting model for the NHS, leveraging historical data and machine learning to predict healthcare demand. This system analyzes patient trends, workforce availability, and demographics to improve resource allocation, staffing, and patient care strategies. Focusing on system-wide operations, the model aims to shift healthcare management from reactive to proactive, enhancing efficiency and informing crucial strategic decisions. The project is ongoing and expanding its pilot testing to various healthcare settings.

Companies are increasingly adopting AI within HR departments, prioritizing internal efficiency over customer-facing applications. This allows for controlled testing and refinement of AI in structured environments. Telecommunications giant e& is leading this trend by implementing an AI-first model for its HR operations, impacting 10,000 employees. This strategic move leverages AI to automate tasks like recruitment and personalize employee learning, aiming to standardize global processes and provide better workforce insights. HR serves as a low-risk proving ground, offering consistent data and predictable workflows ideal for AI development before tackling more sensitive external applications.