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In a TIME interview alongside CEO John Ternus, Apple SVP of Worldwide Marketing Greg Joswiak said the company does not feel threatened by OpenAI's hardware ambitions, citing Apple's integration of hardware, software and services as a key advantage. He also said Apple's AI products are aimed at everyday users rather than AI enthusiasts chasing superintelligence.
An Entrepreneur contributor argues that AI tools like ChatGPT and Claude produce polished, comprehensive marketing strategies that nonetheless fail when teams try to execute them, because the plans lack grounding in a company's real financial, operational and customer data. The piece references Clarity Digital's analysis on generic AI marketing strategies to support the claim that such documents are not true executable roadmaps.
In an opinion piece for Entrepreneur, a BILL leader describes their first three months in a new leadership role, arguing against rushing in with a ready-made plan. They say credibility comes from spending early time listening to teams and customers, identifying real obstacles, and understanding the business before acting.
A personal finance columnist says new data and analysis have prompted a rethink of three widely held retirement-planning beliefs. The piece does not name specific companies or products, framing the change as a personal update to long-held investing assumptions. The columnist contrasts these shifting views with what they call immutable truths, such as the importance of low costs and starting to invest early.
A startup advice piece argues founders typically act as the first salespeople, often succeeding because they deeply understand the product's purpose. It contends that despite this early success, sales is the function founders should hand off to a disciplined, professional hire as the company grows.
Starbucks CEO Brian Niccol said the coffee chain's recovery is taking hold, attributing the progress to a leadership focus on returning to core operational fundamentals. He framed the strategy as less about product innovation and more about disciplined execution of basics.
Jane Street intern Theodor Totev redesigned how the firm's internal Aria messaging system filters subscriber data during 'tip recovery,' the process where lagging clients pull recent messages from an in-memory ring buffer. By replacing a simple linear scan with an indexing and tree-splitting approach tailored to Aria's hierarchical topic structure, the project cut CPU usage by 30% on production workloads while preserving the system's strict correctness requirements.
An Entrepreneur contributor opinion piece warns that pressure to 'move fast' on AI adoption is pushing leaders into hasty decisions on technology, talent and investment. The author cites a finding that nearly one-third of U.S. hiring managers whose companies cut jobs due to AI have since rehired for some of those roles, and notes a survey showing only two in five leaders reflect on decisions weekly.
An opinion piece from a veterinary hospital network leader argues that businesses facing rising costs should raise prices gradually and transparently rather than suddenly. The author cites a survey finding that 52% of pet owners skipped needed veterinary treatments, with 71% of those citing cost as the reason. The piece recommends improving workflows and supporting staff before implementing price increases.
Brian Evergreen, an executive coach who advises companies including Lululemon on artificial intelligence strategy, argues that leaders rather than AI tools must supply organizational vision. His method centers on getting executives to articulate concrete goals before applying AI, rather than adopting the technology reactively because of industry hype.
A review of organizational change research argues that the widely used change management framework, first popularized by Harvard professor John Kotter in a 1995 Harvard Business Review article based on observations of over 100 companies, no longer reflects what actually drives successful transformation. The piece proposes three counterintuitive strategies as alternatives to the traditional step-by-step approach long followed by corporate leaders.
An independent developer released TerrainSR, a model trained on paired 100m-to-10m elevation data that generates higher-resolution terrain heightmaps from coarser input. The model excludes built-up and human-modified land from its training data so outputs avoid artifacts like roads or buildings, and on an RTX 4070 it can process a 50x50km patch in 0.74 seconds.