Expert LinkedIn

Running multiple AI coding agents in parallel is the hottest new developer trend—but research shows most teams are doing it wrong, making this a critical moment for product managers to rethink how they measure and structure AI-augmented engineering.

The world crossed a regulatory threshold yesterday: mandatory AI content labeling and three-hour takedowns are now law in India, signaling a global governance shift that every AI practitioner must understand.

The transition from degree-based to skills-based hiring is revolutionizing career transitions, offering professionals unprecedented freedom to pivot industries.

The shift from AI experimentation to agentic AI deployment is creating unprecedented opportunities for lean startups and small businesses to compete at scale.

LinkedIn’s pivot to short-form video creates unprecedented opportunities—and risks—for corporate brands that have spent years perfecting traditional content strategies.

As major AI companies race into healthcare with sophisticated tools, the critical question isn’t just capability—it’s whether innovation can coexist with the human touch that defines quality care.

LinkedIn’s 2026 algorithm update penalizes engagement bait by up to 60% while rewarding genuine expertise and meaningful conversation—transforming how professionals must build their personal brands.

Organizations are deploying decision-making AI agents faster than they’re building accountability frameworks—and the gap is creating unprecedented risks.

AI hiring tools promised objectivity but deliver systemic discrimination—and most recruiters don’t even realize it.