Rank-and-file employees are jockeying to become leading adopters of artificial intelligence

New research finds the C-suite’s obsession with AI efficiency is costing businesses customers and significant market share. Here’s what you need to do now. (Paid Content)

The social-media era is over. What’s coming will be much worse.

At companies big and small, employees have feared being replaced by AI. The new threat: Being replaced by someone who knows AI. Related Also related Quick Summary to first link above Companies like IgniteTech are cutting staff who resist AI adoption. Accenture has trained about 70% of its 779,000 staff in generative AI fundamentals. A Gallup survey indicates over 40% of US workers not using AI believe it cannot help their work, and 11% resist changing their methods.

Class Disrupted hosts sit down with Neerav Kingsland to discuss the ‘early days’ of AI in education: ‘Kids need to be supported in how they use AI.’

Why we may be investing too much importance in the role of technology

The search giant becomes the biggest name yet to generate an ad entirely with its Veo 3 and other artificial-intelligence tools Related Quick Summary of first link above Google launched its first fully AI-generated advertisement, featuring a turkey who uses its AI search tool to escape Thanksgiving. The Google ad will run on television, in movie theaters, and on social and digital media, with a Christmas-themed ad to follow. Some AI-generated ads have been criticized for unse

Too many leaders pursue projects and investments that veer from their organization’s overall strategy. Artificial intelligence could flag such disconnects. Quick Summary Organizations often struggle with aligning their strategy with the execution of that strategy, which is referred to as coherence. An AI tool, a coherence prompt, might be able to help organizations stay aligned by flagging drift and pointing out disconnects in decision-making, says a former CEO. Implementing

The technology’s use in producing annual and quarterly filings—even with the requisite human oversight—raises questions of transparency and trust Quick Summary Companies are increasingly using generative AI to draft financial reports, aiming for efficiency but raising concerns about trust and transparency. ON Semiconductor reduced the time between closing the books and reporting results to eight days from 10, with plans to average six days next year, using AI. A survey found

DM With hot apple cider in hand I ask, what are optimal terms to define a functional "A.I.<>human<> organization relationship" (both personal and collectively) within organizational work dynamics; and what might the designs thereof include, or entail, for optimal relational efficacy and risks mitigation? Keep in mind: organizations and human have very different parameters as to "optimal"and "efficacy;" and IMPO from a moral and pragmatic POV, "work should fit well into life,"

Anthropic, backed by Amazon and Google, is focusing on corporate customers rather than the mass market

For many tasks in corporate America, it’s not the biggest and smartest AI models, but the smaller, more simplistic ones that are winning the day

Amazon is cutting jobs in an efficiency drive and Walmart says its headcount will stay flat as artificial intelligence disrupts some roles.

True AI literacy isn’t about mastering the latest tools—it’s about creating space to ask questions, admit gaps, and learn without shame.

The U.S. is becoming an Nvidia-state.

Meta, Alphabet, Microsoft and Amazon will increase spending in 2026; ‘Are we in a bubble?’ Quick Summary Silicon Valley’s largest companies plan to invest $400 billion in AI this year, with many indicating this is insufficient. Meta, Alphabet, Microsoft, and Amazon will increase 2026 spending; Google and Amazon shares rose, while Meta and Microsoft shares fell. Google’s CFO stated that AI inv estments are already generating billions of dollars in revenue for the company.

AI holds the power to accelerate innovation in R&D, but realizing its potential will demand that organizations rethink how they work and overcome the barriers to adoption.

The tech company’s C.T.O. on surveillance, A.I. and the future of war.

Yascha Mounk and Geoffrey Hinton discuss how AI works—and why it’s a risk.

I was reminded of these new forces during a visit to Silicon Valley last week where major tech CEOs said the same thing: “Long term is now six months.”