Two interview coaches argue that take-home assignments are no longer a box-checking exercise in a brutal hiring market. Their prescription: schedule the work deliberately, enlist trusted critics before the prompt arrives, and revise for both strong ideas and a story anyone can follow.

Kaya Henderson reflects on turning around Washington, D.C.’s public schools by replacing top-down certainty with shared problem-solving. The former chancellor makes a case for clear communication, authentic leadership and trusting the people closest to the work.

Casey Moratori challenges the industry’s acceptance of sluggish software, arguing that performance begins with architectural choices, hardware literacy and theoretical limits rather than late-stage profiling. He also considers AI coding tools’ unsettled effects on engineering craft and autonomy.

OpenAI’s claimed breakthroughs on long-standing mathematical problems have rattled a field suddenly confronting AI as both a powerful collaborator and a possible replacement. Mathematicians weigh the value of solved proofs against the human insight, training and new questions that make a discipline move forward.

Molly Graham makes a case for career reinvention through calculated risk, beginner’s humility and a willingness to endure the emotional chaos of change. The new WorkLife host considers how small acts of courage can build resilience in a precarious job market and at midlife.

Bruce Daisley talks with organizational psychologist Rob Briner about the workplace ideas companies cling to despite thin evidence, from engagement surveys and psychological safety to culture change and growth mindset. Their debate circles a simple demand: stop reaching for fashionable tools before defining the problem you are actually trying to solve.

In a live TED conversation, Molly Graham makes the case for careers built through risky leaps rather than orderly promotions, arguing that fear, awkwardness, and reinvention are often signs of growth. She reflects on scaling fast-moving companies, the value of asking naive questions, and the need for leaders to build environments where people can do their best work.

Charlie Warzel talks with writer John Paul Brammer about recovering a reading life in the age of feeds, alerts, and algorithmic distraction. Their conversation reframes the so-called attention crisis as a crisis of curiosity, arguing that books can restore stillness, deepen thought, and sharpen both writing and the sense of what feels genuinely human.

HBR on Leadership signs off after more than 150 episodes, with host Hannah Bates announcing the show’s pause and a renewed focus on HBR IdeaCast and other projects. The farewell doubles as a thank-you to the production team and listeners who made the past four years of leadership conversations possible.

AWS chief Matt Garman argues that AI will reorder white-collar work rather than erase it, even as Amazon automates more tasks and trims parts of its own workforce. The conversation ranges from college AI degrees and shaky labor data to enterprise adoption, data center backlash, and the question of whether efficiency gains create new jobs fast enough.

Mark Zao-Sanders makes the case for timeboxing as both a productivity tool and a way to restore calm: put tasks on the calendar, assign them real limits, and let intention outrun distraction. The conversation links better planning to better collaboration, arguing that visible commitments and clear deadlines reduce anxiety for individuals and teams alike.

Chris Lipp argues that real authority at work comes less from title or dominance than from a felt sense of control, internal conviction, and willingness to act. The conversation traces how people build that kind of personal power through responsibility, values, fairness, and even the way they guide a meeting.

Caroline Wanga traces a career built less on certainty than on curiosity, describing how a series of self-made maps helped her test roles, recognize her strengths and know when it was time to move on. The conversation widens into a candid philosophy of work, urging people to trade personal branding for personal purpose and to treat failure and doubt as material for growth.

A conversation about how middle managers can move big ideas upward by framing problems in strategic terms, building coalitions, and anticipating resistance before they enter the room. Sue Ashford and Ellen Bailey break down the politics, emotional discipline, and practical persuasion required to turn insight from the middle into organizational change.

Alice Real traces Rust’s rise from forum culture and async infrastructure to Android and the Linux kernel, arguing that the language’s strict rules buy reliability in exchange for a steeper learning curve. The conversation digs into ownership, borrow checking, governance by committee, and why memory safety has turned Rust from an enthusiast’s tool into an institutional one.

A conversation about AI in schools moves past cheating panics to the deeper question of what education is for when machines can generate polished work on demand. Teachers and researchers describe a fractured landscape in which generative tools may save time at the margins, but also erode learning, judgment, and trust in the classroom.

Molly Graham talks with former Microsoft executive and Gates Foundation founding CEO Patty Stonecipher about the personal mission statement that has guided decades of career choices, from high-profile yeses to disciplined noes. Their conversation turns work into a question of values, asking how ambition, love, justice, learning and humor can shape a life rather than merely a résumé.

Leadership is less a title than a shift in stance, and this conversation maps the uneasy passage from capable contributor to credible decision-maker. Amy Su and Muriel Wilkins unpack how women can claim authority, build visibility and trust, and avoid confusing gratitude for permission.