Investors Demand Clearer Returns From the AI Spending Boom
Diverging reactions to Alphabet, Microsoft and Oracle show that growth alone no longer shields large AI investments from scrutiny.
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Clear explanations of the tools changing daily life—and practical habits for using them more safely and responsibly.
Thursday section review completed October 29, 2026.
Diverging reactions to Alphabet, Microsoft and Oracle show that growth alone no longer shields large AI investments from scrutiny.
Read full story →Leo Pro and Referral Central extend the brokerage’s software platform with automation for agents.
Read full story →Both companies are scheduled to report Wednesday, giving investors a fresh look at their businesses during a busy earnings week.
Read full story →Governments seeking American chips and Chinese open-source systems are finding that access, standards and strategic alignment increasingly come together.
Read full story →Draft rules would require disclosure when customers encounter automated systems and a simple route to timely assistance from a person.
Read full story →Bets against five heavily shorted data-center companies have become profitable as investors question debt-funded AI infrastructure spending.
Read full story →Four companies are expected to receive research awards, with the government taking minority, non-voting stakes under a semiconductor innovation fund.
Read full story →Investors are watching local energy costs, environmental concerns and the midterms for signs that approvals and construction timelines could tighten.
Read full story →A 3.75-megawatt-hour installation at Peace Bridge Place is intended to demonstrate safer, resilient energy storage in an affordable-housing setting.
Read full story →Phoenix Tailings plans a 500,000-square-foot plant at Eastman Business Park, with partial operations expected in 2027 and full production targeted for 2028.
Read full story →A researcher observed autonomous tools probing more than 1,200 targets, showing how inexpensive AI systems can expand one attacker’s reach.
Read full story →The new TorchNeuron software is designed to run widely used PyTorch code on Amazon’s custom processors with a configuration change instead of a rewrite.
Read full story →Digital labels, dynamic pricing and personalized offers are often conflated, while regulators focus on disclosure and the use of customer data.
Read full story →A shared fabrication facility will combine research access, workforce programs and a public interest in some proceeds.
Read full story →Forty attorneys general want protections for minors and sensitive conversations.
Read full story →Solstice plans to expand its Peabody Street facility, with 12 additional jobs and performance-based state support.
Read full story →GlobalFoundries will expand its Malta factory to make silicon interposers for TSMC, with production expected to ramp in 2028.
Read full story →Former employees warned of weak controls while current industry representatives discussed oversight.
Read full story →A rare hearing of all 51 council members examines safety claims, public accountability and proposed rules.
Read full story →The proposed acquisition would connect engineering data with factory, energy and AI systems.
Read full story →Major technology companies agreed to new safety practices, but the commitments do not carry regulatory enforcement.
Read full story →Anthropic disclosed an agreement under which the chip supplier could lend it up to $42 billion to support long-term computing-capacity commitments.
Read full story →Digital safety begins with unique passwords, multifactor authentication, current software, secure backups, and caution with unexpected messages. A password manager can help people avoid reusing credentials across many accounts.
Scams often create urgency or fear to discourage careful thinking. Before sending money, sharing information, or opening a file, verify the request through a separate trusted channel. No single tool prevents every problem, but several simple protections working together can greatly reduce risk.
Read article →Artificial intelligence systems can recognize patterns, generate content, make predictions, and automate parts of complex tasks. They support search, recommendations, translation, fraud detection, medical research, customer service, and many other uses.
AI output can still be incorrect, biased, incomplete, or inappropriate for the situation. Responsible use requires checking important claims, protecting confidential information, understanding limits, and keeping human judgment involved when decisions affect rights, health, safety, employment, or money.
Read article →Websites, apps, devices, and services may collect account details, location, browsing behavior, contacts, purchases, and technical information. Some collection is necessary for a service to work, while other data supports advertising, analytics, or product development.
Users can review permissions, disable unnecessary access, limit location sharing, remove unused accounts, and separate public information from private communication. Privacy is not an all-or-nothing condition; it is an ongoing set of choices about what is shared, with whom, and for how long.
Read article →A useful technology should be evaluated by the problem it solves, reliability, cost, accessibility, security, environmental demands, and effects on workers and communities. Novelty alone does not establish value.
Early claims may reflect ideal conditions rather than ordinary use. Independent testing, transparent limitations, clear support, and evidence from real users provide a better basis for judgment. The strongest products usually become more useful as their risks, tradeoffs, and appropriate boundaries become better understood.
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