Technology

Netflix’s AI search test takes aim at content fatigue: By letting users search more intuitively, Netflix hopes to edge out rivals and helps viewers navigate its library.

As AI agents take over the grunt work, coders can step into roles that look more like architects and less like keyboard jockeys.

Despite skyrocketing adoption and falling costs, most companies are stuck with small wins—highlighting a need for sharper, use-case-driven strategies.

Canva is courting enterprise users with intuitive AI tools and team-friendly pricing, pressuring Adobe’s expensive, credit-based model and grip on creative pros.

The in-sourcing wave puts financial pressure on consultants and risks stretching government teams thin.

With content quickly buried and inactive users penalized, the platform is reworking search to give creators a longer runway and more consistent reach.

Facing a steep 145% Chinese import duty, HP, Dell, Lenovo, and Nintendo are pulling back, risking supply gaps to dodge consumer backlash

Firms are pulling resources from core roles to fuel AI growth, but without ROI, they’re hollowing out the workforce they still need.

By blending fast and accurate reasoning in open-source models, this startup is betting developers want flexibility without licensing headaches

The company demands AI-driven workflows while offering only self-led training, risking burnout and backlash from a workforce already bracing for cuts.

By integrating AI across speech, music, and code, Google positions Workspace as the one-stop shop for enterprise-grade creativity and automation.

It cancels a $1 billion US data center plan and pauses other developments as it braces for rising material costs and geopolitical pressures.

If ad dollars shrink, Meta and others may need to ditch risky side projects and focus on scalable, affordable services to survive the slowdown

Microsoft’s AI assistant now handles bookings, shopping, and podcast creation, aiming to close the gap with ChatGPT by delivering real utility, not just enterprise hype.

Meta enters the next-gen model arena with high-performing tools and questionable benchmarking practices, forcing marketers to vet solutions amid a haze of hype.

With experts bullish on AI’s potential and the public wary, companies must prove usefulness to close the confidence divide.

On today’s podcast episode, we discuss how companies can figure out where AI should go, how to deal with model inaccuracies, and tons of tips on how best to use AI at work. Join Senior Director of Podcasts and host Marcus Johnson, Senior Vice President Henry Powderly, and Senior Analyst Gadjo Sevilla for the conversation. Listen everywhere and watch on YouTube and Spotify.

China’s retaliation rattles markets, but Big Tech could offset losses by leaning into AI, services, and subscriptions—if consumers still bite.

Regulators may hit X with a $1 billion fine, escalating a standoff that could provoke Trump and push Musk to yank the platform from Europe.

Flashy new features meet AAA games, yet battery life shrinks and OLED gets ditched. Is this really a next-gen move?