⚠️Warning Signs Now Come with Machine Learning
👋 Welcome! Today, we’re covering a range of topics from Google’s new AI video tool to exploring the new era of risk management. Get ready for a full spectrum of insights that will keep you informed and engaged!
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AI & TECH
Google’s Gemini now turns photos into videos – Google’s Gemini app now supports image-to-video creation via its Veo 3 model. Paid Google AI Pro and Ultra subscribers can upload a photo, specify motion and sound cues, then generate 8-second videos (with visible and invisible watermarks). This follows 40 million clips created since Veo 3’s May launch.
Meta acquires voice startup Play AI – Meta has acquired Play AI, a startup focused on AI-generated human-sounding voices, with its entire team joining next week. Meta’s internal memo says Play’s natural voice tech aligns well with its roadmap—enhancing AI Characters, Meta AI, wearables, and audio content. Financial terms weren’t disclosed.
Siemens & SAP urge EU to overhaul AI regulations – CEOs from Siemens and SAP say the EU's AI Act and Data Act are too burdensome, holding back innovation. They want clearer, streamlined data rules to unlock Europe's AI potential. Other tech firms have also called for reform.
CAREER & WORK
Experts say AI boom is Creating (not killing) jobs – AI may not kill jobs — it could create them. While entry-level roles may shrink, analysts say AI is spawning new positions like quality-control managers and AI trainers. Job listings for AI roles have more than doubled from 2023 to 2024, surging another 56% in 2025. Still, long-term impact remains uncertain..
Deepfake job applicants threaten remote work – Deepfake job applicants are increasingly targeting remote roles, with 17% of U.S. hiring managers encountering AI‑generated impostors during interviews. Experts warn this trend—possibly driven by state‑sponsored actors—threatens data security and corporate integrity. Employers are combating it via biometrics, live video checks, and in‑person screening.
Google hires Windsurf team in $2.4 B licensing deal — Google has struck a $2.4 B agreement to license Windsurf’s AI coding tech and hired its CEO and core developers into DeepMind – emphasizing Google's commitment to AI-driven software development.
ECONOMY & FINANCE
ATTN: Tomato price rise alert — Starting July 14, U.S. tariffs of 20.9% on most Mexican tomato imports may take effect, raising prices on everyday foods and threatening small businesses. With Mexico supplying ~90% of U.S. tomatoes, prices are expected to jump about 8 cents per pound. Critics say the move reflects Trump’s unpredictable trade policies, fueling economic uncertainty and disrupting global supply chains.
AI investment focus shapes Big Tech earnings outlook — Ahead of Q2 earnings, investors are watching if AI capex (over $300 B this year) translates into margin and productivity gains. Firms like Microsoft, Amazon and Google are expected to showcase “agentic AI” adoption.
Start of earning week ahead amid tariffs — U.S. equity futures slid Sunday evening after President Trump announced a 30% tariff on imports from the EU and Mexico, effective August 1. Safe‑haven assets, including the dollar and gold, saw modest gains. With big tech earnings report set to release starting Monday, investors are set to cautiously weigh the risk factors such as tariffs and inflation data.
VC & FUNDING
RealSense completes spin out — After 14 years within Intel, RealSense has become an independent firm, securing $50 million in funding as a pioneer in AI computer vision. The 3D-depth camera business—embedded in 60% of autonomous robots—will now scale production, AI software, and global reach.
SpaceX to invest in Musk's xAI — SpaceX will pour $2B of a $5B equity round into xAI, boosting ties between Musk’s companies. xAI’s Grok chatbot supports Starlink customer service and may integrate into Tesla’s Optimus robots. Current valuation? Around $113 B.
Datafy secures $20 M in seed funding — New York‑based Datafy raised $20 M led by Bessemer Venture Partners. The autonomous cloud‑storage optimization startup, helmed by industry veterans, offers enterprises up to 50 % cost savings via self‑optimizing solutions.
BIG THINK
AI in Risk Management: Smart Shield or Hidden Vulnerabilities?
AI is increasingly pivotal in risk management—but its integration comes with trade-offs.
In finance, major firms use AI to boost sales and manage client volatility, enabling rapid responses during market turmoil. AI-powered tools sift through vast datasets to flag emerging risks, improving advisory speed but also increasing exposure to model errors.
In supply chains, machine learning systems now forecast disruptions—like weather, tariffs, or supplier instability—and recommend mitigation actions . For example, agentic AI platforms autonomously detect bottlenecks and trigger backup sourcing, significantly improving resilience and speed.
Risk-focused consultancies recommend layered AI governance. A recent framework draws from AI governance best practices—covering vendor due diligence, audit trails, and executive oversight—to mitigate algorithmic failures.
However, critics highlight new vulnerabilities. AI systems trained on faulty or biased data may miss emerging threats or misclassify risks. Some financial institutions report that evolving fraud tactics—like deepfakes and synthetic IDs—can outpace detection models. A recent industry survey revealed that 72% of U.S. business owners cite cyberattacks as a major concern—nearly matching supply-chain disruption fears. Here, AI’s dual role as defender and possible attack vector becomes clear.
Governance gaps also loom. Complex models and lack of explainability can obscure how risk conclusions are drawn, reducing trust and impeding accountability. State regulators are responding, pushing companies to implement bias audits, transparency standards, and safeguards. But compliance remains fragmented.
Actionable Insights:
Institute Human‑First Oversight: AI should assist, not decide. Implement governance frameworks with vendor checks, audit histories, and executive reviews to ensure models remain trustworthy.
Continuously Test and Update Models: Regularly audit for bias, adversarial threats, and data drift. Combine AI detection with manual validation to stay ahead of evolving risks.
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THE NUMBER:
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WISDOM
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