vinay.a@gravitasin.com, Author at Quirkwise

A colleague of mine, a researcher and content creator, one of the most energetic people I had worked with, left her job a year and a half ago. She did not leave for a better offer or a new city. She became a yoga trainer. When I asked her why, she said five words: “There is no joy here.” She was not burned out in any visible sense. She was not missing deadlines or picking fights. She showed up every day, did her work, smiled in team meetings. But I remember noticing, a few months before she left, that she had stopped asking questions in briefs. She used to push back, probe, suggest angles nobody had thought of. Then one day she just stopped. She would take the brief and deliver exactly what was asked. Nothing more. None of us named it. None of us asked. She had been quietly quitting for months before she actually quit, and we only understood it in hindsight. This is quiet quitting 2026. And it is not a passing moment. It is a signal. What Is Quiet Quitting 2026? Quiet quitting does not mean an employee is about to hand in their resignation. It means they already have. Emotionally. They continue to occupy the role while withdrawing from it. They do what is written in the job description and nothing more. No extra hours. No initiative. No investment in outcomes beyond the minimum required to stay employed. The term entered common conversation around 2022, but in 2026, the phenomenon has matured and spread. According to Gallup’s State of the Global Workplace 2026 report, only 20% of employees worldwide are engaged at work. That means eight out of ten people in your teams, your offices, your video calls, are either going through the motions or actively working against their organisation’s interests. In India, the numbers tell a sharper story. Gallup’s 2026 data shows that only 23% of Indian employees are engaged at work, a four-year low, and manager engagement fell from 39% to 30% in a single year, the steepest decline in South Asia. Gallup estimates that workplace disengagement currently costs India approximately $351 billion, or roughly Rs 32.7 trillion, in lost productivity annually. That is 9% of the country’s GDP leaving through the door of disengagement every year. That is not a morale dip. That is a structural problem. Disengagement is not the same as resignation. A person who resigns leaves. A person who is disengaged stays and withdraws, which is more expensive and harder to detect. The organisation continues to pay the salary while discretionary effort, initiative, and goodwill drain away. The conditions that produce this have not been addressed. Overwork, poor leadership communication, and the absence of meaningful career paths are not new problems. But post-pandemic work structures have made them more visible, and a generation of workers has lost patience with pretending they are acceptable. Emotional intelligence in leadership sits at the center of whether organizations can reverse this. Major Causes Behind Quiet Quitting 2026 Quiet quitting rarely has a single cause. It is the accumulation of months of small signals that were ignored. Burnout and Stress in Quiet Quitting 2026 When an employee spends months carrying more than their role was designed to hold, covering for gaps, absorbing scope creep, responding at all hours, their nervous system registers the environment as unsafe. The psychological contract breaks quietly. They do not make a declaration. They simply stop volunteering. According to Gallup’s employee burnout research, what determines the outcome is not the volume of work itself but whether people feel any control over it and whether recovery time is treated as legitimate by those above them. When it is not- when a team leader schedules meetings in the only protected slot, when a manager sends messages at 10 PM and expects a response, when leave is approved on paper but met with sighs in practice- employees draw a clear conclusion about how much the organization values their capacity. They adjust accordingly. Poor Workplace Communication in Quiet Quitting 2026 A 2025 statistics report found that 52% of employees stopped going above and beyond because they received no recognition for doing so. When effort disappears into a void, people stop making it. This is a rational response to an environment that has communicated, clearly, that effort is not visible. Weak leadership communication creates a related but distinct problem. When people do not know why decisions are made, where the organization is headed, or whether their work connects to anything larger, they have no reason to bring discretionary effort. They work to the letter of the contract because the contract is the only thing that has been made clear. Leaders who treat information as a tool of control consistently produce teams that do the minimum. Lack of Career Growth in Quiet Quitting 2026 When an employee can see no path forward, no learning, no progression, no honest conversation about their development, they begin to treat the job as a transaction. Show up. Collect pay. Leave. Their energy and ambition do not disappear; they get redirected to side projects, further education, or their lives outside work. This is particularly sharp for workers under 35. Nearly half of Gen Z workers (47%) admit they are coasting at work, doing enough to keep their jobs but not engaging meaningfully. They need evidence that investment in their growth is real, not merely a line in a company values document. Warning Signs of Quiet Quitting 2026 The challenge is that quiet quitting is designed to be invisible. The person is still there. The work is technically getting done. But there are patterns worth noticing early. Reduced Engagement and Participation Employees who are quietly quitting stop contributing before they stop delivering. They respond rather than initiate. They complete tasks but do not raise problems they spot upstream. They are present… Continue reading Quiet Quitting 2026: What Is Driving It and What Leaders Can Do

What Is AI in Leadership and Why It Matters Leadership has always been about making decisions under uncertainty. What is changing is the volume, speed, and complexity of the information leaders must process before they decide. AI enters here not as a curiosity, but as a structural shift in how organisations operate. Artificial intelligence in leadership refers to the deliberate use of AI tools and systems to support how leaders think, decide, communicate, and manage their teams. This includes everything from predictive analytics and automated reporting to performance tracking and AI-assisted hiring. In short, it is the integration of machine intelligence into the practice of leading people and organisations. For most of the past century, leadership relied heavily on intuition built from experience. That intuition is not going away. However, it is increasingly expected to sit alongside evidence. Leaders who once operated on gut feel and pattern recognition are now being asked to make sense of real-time data, model multiple scenarios simultaneously, and explain their decisions to a wider set of stakeholders. AI makes this possible. It also makes the gap between leaders who engage with it and those who do not significantly wider. The numbers support this urgency. Worker access to AI rose by 50% in 2025, and the number of companies with 40% or more of their AI projects in production is set to double within six months, according to Deloitte’s State of AI in the Enterprise 2026 report. Almost three-quarters of CEOs are now their organisation’s main decision-maker on AI strategy, and companies expect to double AI spending in 2026, up from an average of 0.8% of revenue to approximately 1.7%, according to BCG research. This is not a distant scenario. It is the operating environment leaders are working in right now. 👉 Want to sharpen how you think and decide under pressure? Read our piece on decision-making skills for leaders. How AI in Leadership Is Transforming Decision Making Data-Driven Thinking in AI in Leadership Decision-making has historically been constrained by the pace at which information could be gathered, verified, and interpreted. AI removes much of that constraint. Leaders can now access dashboards that synthesise sales data, customer sentiment, supply chain performance, and financial projections in real time. Predictive analytics can surface patterns that no individual analyst would catch as quickly. By the end of 2025, nearly 70% of global organizations were deploying AI in at least one business function, with data quality and governance emerging as clear competitive differentiators as AI moved deeper into daily operations. McKinsey’s research makes the stakes concrete: if organizations redesign their workflows around AI agents rather than simply automating isolated tasks, AI could add approximately $2.9 trillion per year to the US economy by 2030. The difference between those two approaches, layering AI onto existing processes versus rethinking those processes entirely is a leadership call, not a technology call. That said, not all AI-informed decisions are good ones. A 2025 SAP study found 55% of executives say AI insights routinely replace or bypass traditional decision-making in their firms. When leaders outsource judgment entirely to a system they do not fully understand, the accountability gap becomes a liability. AI can generate the analysis. The decision still belongs to the human in the room. Reducing Bias with AI in Leadership One of the more persuasive arguments for AI in decision-making is its potential to reduce human bias. Behavioral research has documented for decades the ways in which anchoring, recency bias, affinity bias, and confirmation bias distort leadership decisions — particularly in hiring, promotion, and performance evaluation. An AI system, designed well, does not carry those prejudices. However, this is also where AI carries its own specific risks. While AI is not inherently biased, it learns biases that can cause employers to make decisions that expose them to legal and reputational risks. AI algorithms are trained on large datasets, and if those datasets are biased, AI systems can perpetuate or even exacerbate discriminatory practices. The implication is not that AI should be avoided in high-stakes decisions, but that its outputs require human interpretation. A leader who can read an AI recommendation critically — who understands what data the system was trained on, and what its limitations are — is meaningfully different from one who treats the recommendation as final. For deeper research on this intersection, the AI and decision-making research at HBR is worth reading carefully. How AI in Leadership Is Changing Team Management Automation and Productivity in AI in Leadership The first wave of AI in team management is visible in task automation. Scheduling, status reporting, routine data entry, first-pass document review, customer query triage, these activities are being handed to AI systems at speed. In 2023, McKinsey research found that only 30% of employees reported using AI at work. By 2025, that figure had reached 76%. The productivity gains are real, but the organizational consequences are complex. According to data compiled by eWeek and Challenger, Gray & Christmas, over 52,000 tech sector jobs were cut in the first three months of 2026, with the driving force behind the majority of these cuts being companies redirecting budgets toward AI infrastructure and AI-assisted workflows. The companies managing this responsibly are making a harder, slower choice. When leaders avoid redefining roles early, they create a moment where layoffs feel unavoidable. Teams wake up with hundreds of people whose old jobs no longer exist and no clear plan for what comes next. At that point, layoffs become a reaction to inaction. That is a failure of leadership, not a consequence of AI. Block’s CEO, Jack Dorsey, offered the bluntest version of this emerging reality in March 2026, when his company reduced its workforce from approximately 10,000 to fewer than 6,000. In a company-wide memo shared publicly, Dorsey wrote: “This is not driven by financial difficulty, but by the growing capability of AI tools to perform a wider range… Continue reading AI in Leadership: What Leaders Must Do Today

What Is a First Time Manager Guide and Why It Matters As a first-time manager, the first few weeks in a management role have a specific texture that nobody warns you about. You sit in your first team meeting as the manager, and you are not sure what register to speak in. You wonder whether to lead or listen. You second-guess things you would have said without thinking a month ago. The promotion felt like recognition. The first week feels like starting over. That disorientation is normal. It is also a signal that the role is genuinely different, not just a bigger version of what you did before. You are no longer measured by what you produce on your own. You are measured by what your team produces. According to Gallup research, 82% of the time, organisations fail to select managers with the right talent for the role. A significant part of that failure traces back to the fact that high performers are promoted into leadership without being prepared for what it actually requires. This first-time manager guide is for people in that gap. It will not hand you a personality transplant. It will give you specific things to think about, specific things to do, and specific mistakes to avoid. The skills that made you good at your previous role will not automatically make you a good manager. Technical expertise matters less than it did. Leadership mindset strategies matter more. The earlier you accept that, the faster you close the gap. First Time Manager Guide to Building Leadership Skills Communication Is Your Most Important Tool People cannot work well with a manager they cannot read. If your team is guessing what you want, what success looks like, or whether they have done a good job, that is a communication failure, and it is your job to fix it. Set expectations clearly. When you assign work, say what a good outcome looks like. Not just the task, but the standard. “Write a report” is different from “Write a two-page summary that a non-technical reader can understand, ready by Thursday.” The second version removes ambiguity. Ambiguity costs time and morale. Listen before you respond. One of the most common problems for new managers is talking too much. You feel pressure to have answers, to demonstrate competence, to justify the promotion. The instinct is understandable. It is also counterproductive. Your team has information you do not have. If you speak first, you get less of it. Listen. Ask questions. Let people finish their thoughts. Create feedback loops. Your team needs to know what they are doing well and where they need to adjust. This does not have to be formal. A short conversation after a presentation, a note after a difficult client call, a quick check-in when something went sideways. Regular, specific feedback is more useful than an annual review that covers twelve months in one hour. Communication is also two-way. Ask for feedback on your own management. It signals that you are serious about improving, and it often surfaces things you would not have noticed on your own. Decision Making New managers often get stuck in one of two traps. Either they overthink every decision and cause delays, or they rush through decisions to appear decisive and make errors. Neither approach serves the team. Most decisions that come to a manager are not as complex as they feel. A useful starting point is to ask: what is the cost of getting this wrong? If the cost is low and reversible, make the call and move on. If the cost is high or irreversible, slow down and gather more information before deciding. There are structured approaches to decision-making that can help when the stakes are higher. The HBR Decision Making Frameworks library at hbr.org covers several that are practical and well-tested. You do not need to master all of them. Pick one or two that suit how you think and use them consistently. What matters most is building the habit of reflection after decisions. Not self-criticism, but honest review. What did you know? What did you not know? What would you do differently? Over time, that review process builds judgment. Judgment is what separates experienced managers from new ones, and there is no shortcut to it except practice. First Time Manager Guide to Leading a Team Effectively Set Clear Goals and Expectations A team without clear goals spends energy on the wrong things. People work hard but not necessarily on what matters. One of your first jobs as a manager is to make sure everyone on your team knows what they are responsible for and what success looks like. Define roles clearly. Not just job titles, but who owns what. When two people think they are both responsible for something, it usually means neither treats it as their primary responsibility. When something belongs to no one, it does not get done. Be specific about ownership. Connect individual work to the larger goal. People work better when they understand why their work matters. When you assign something, explain where it fits. That context changes how seriously people take it. Build Trust and Accountability Trust is built through small, repeated actions, not declarations. The most reliable ones are: doing what you said you would do, being honest about what you do not know, and not burdening your team with problems that are not theirs to carry. Start with the practical. Before your next one-on-one, write down one commitment you have made to each person on your team. Have you followed through? If not, address it directly before the meeting. That single habit, done consistently, builds more credibility than any speech about trust. Transparency does not mean sharing everything. It means not hiding things your team needs to know. If a deadline is moving, tell them early. If the business is in a difficult… Continue reading First Time Manager Guide: How to Lead a Team Successfully

On losing someone, and what grief actually sounds like.

Think about the last all-hands you sat through. You probably remember one thing someone said. Not a slide. Not a number. The moment someone stopped presenting and started talking: about something that actually happened, to actual people, with an actual consequence. That is not a coincidence. It is how attention works. Storytelling for leaders is not about being a better speaker. It is about giving people something they can carry out of the room. Facts inform. Stories orient. A team that understands the why behind a decision moves differently from one that was just handed the what. Good leadership storytelling techniques do not make leaders more charismatic. They make leaders more legible. This post covers what makes a story work in a professional context, which techniques are worth using, and how to build the habit without it feeling like performance. Why Storytelling for Leaders Matters in Modern Business Numbers alone do not move people. A team can be told that customer complaints rose 30 percent last quarter and still not change how they handle calls. The same information delivered as a story, with one specific customer, one specific interaction, one specific moment where trust was lost, lands differently. Storytelling for leaders does not replace data. It gives data somewhere to live in people’s memories. Builds Emotional Connection A manager at a mid-size logistics company once started a team meeting by talking about a delivery that arrived two days late to a family expecting medical equipment. She did not show a metric. She described the phone call. Her team remembered that story six months later when discussing a process change. Leadership communication that operates only at the level of strategy leaves people with nothing to hold onto. A story gives people a reference point that a slide cannot. Improves Communication Clarity Complex ideas become simple when wrapped in concrete situations. A finance head explaining why a new approval process exists can cite policy, or they can describe the specific purchase order that caused a problem last year: what was bought, why no one flagged it, what it cost to unwind. The second version is not dumbed down. It is more precise, because it shows the stakes rather than asserting them. Business storytelling is not about simplification. It is about making the invisible visible. Drives Team Motivation and Engagement People do not stay in organisations for targets alone. A team lead who only communicates through numbers gives people something to hit. A team lead who explains why the work matters, where it goes, who it affects, what changes because of it, gives people a reason to think. Inspiring teams at work requires this connection between daily effort and larger purpose. As writer and organisational thinker Margaret Wheatley puts it: people support what they help create. Story is one way to make that creation feel real. Key Elements of Effective Storytelling for Leaders Clear Message and Purpose Every story a leader tells should have a single identifiable point. Before speaking, the question worth asking is: what do I want this person to think, feel, or do differently after hearing this? Without that anchor, stories drift. A team debrief about a difficult client can become a venting session, an anecdote about a past project can become nostalgia. The story is not the point. The point is the point. The story is what makes it stick. Relatable Characters or Situations Stories work when people see themselves in them. Not in a grand way. A manager describing the moment she realised she had been avoiding a performance conversation, and what happened when she finally had it, is more useful to most teams than a case study from a business school. The situation is ordinary. That is what makes it land. Abstract examples from hypothetical teams in hypothetical conditions do not produce the same recognition. Emotional Appeal This does not mean manufacturing sentiment. It means not scrubbing the feeling out of a situation in the name of professionalism. If a product delay affected a client badly, say so. If a team worked through something difficult, name what it cost them. Jerome Bruner, the cognitive psychologist, wrote that stories are the primary way humans make sense of experience. Stripping emotion from a story does not make it more credible. It makes it less memorable, because there is nothing for the listener to attach to. Strong Structure: Beginning, Middle, End A good story has a setup that establishes context, a middle that introduces tension or change, and a resolution that delivers the meaning. Without this, even true and interesting material becomes hard to follow. In storytelling in management, structure is not about dramatic arc. It is about respecting the listener’s attention. The beginning answers: where are we? The middle answers: what happened or what is at stake? The end answers: so what does this mean for us? Storytelling Techniques Leaders Can Use Personal Experience Stories These build credibility because they demonstrate the leader has been tested. A manager who has made a bad hire, handled a conflict badly, or misjudged a client’s expectations has material that no borrowed case study can replace. Sharing that material honestly, including what went wrong, signals to teams that the leader is speaking from experience. It also gives people permission to talk about their own missteps without fear. Vision Stories A vision story makes the future feel real in the present. Instead of listing goals, it puts people inside a scenario. When Howard Schultz returned to Starbucks in 2008, he did not open with a turnaround plan. He talked about the smell of coffee being replaced by the smell of breakfast sandwiches, and what that said about what the company had stopped caring about. His team understood immediately what needed to change and why. A leader who can do that for their own team, making the direction sensory and specific rather than strategic and abstract, gives people something to move toward rather than just a number to hit. Problem and Solution Stories These… Continue reading Storytelling for Leaders: How to Influence and Inspire Your Team

Leadership is not what it was five years ago. The combination of AI acceleration, workforce restructuring, and compressed business cycles has made yesterday’s management playbook obsolete faster than most organizations expected. Digital leadership skills are no longer an add-on to a leader’s toolkit. They are the baseline. The leaders who are struggling right now are not the ones lacking ambition. They are the ones operating with a 2019 mental model of what leadership requires. Building future-ready leadership skills is not about chasing trends. It is about understanding which shifts are structural and which ones are noise, and developing the capacity to respond to both. This post breaks down what the evidence actually says about leadership in 2026 and what skills matter most. Why Future-Ready Leadership Skills Matter in 2026 The urgency is not hypothetical. According to SHRM’s 2026 State of the Workplace report, 46% of CHROs cite leadership and manager development as their top priority for the second consecutive year. At the same time, 92% of CHROs anticipate greater AI integration in workforce operations. These two facts are not unrelated. The pressure on leaders is intensifying precisely because the environment they are leading in has changed structurally. The organisations that build future-ready leadership skills now will not just survive this transition. They will define the next competitive benchmark. Digital Transformation Impact AI has moved from pilot programmes to daily operations and is no longer is no longer about experimentation. https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/building-leaders-in-the-age-of-ai McKinsey research puts the long-term AI productivity opportunity at $4.4 trillion across corporate use cases, and 92% of companies plan to increase AI investment over the next three years. Gartner projects 80% of enterprises will operationalise AI in core business processes by 2026. What this means for leaders: understanding AI well enough to govern it, question its outputs, and integrate it with human judgment is now a core leadership competency, not an IT concern. Changing Workforce Trends Remote and hybrid work are now structural, not transitional. Gen Z makes up a growing share of the workforce and brings different expectations around autonomy, transparency, and purpose. Gallup data shows managers influence up to 70% of employee engagement. Meanwhile, DDI research identifies burnout and “quiet cracking” as growing leadership pipeline risks, with 71% of leaders reporting high stress levels. Managing this workforce requires emotional range, not just operational competence. Competitive Business Environment Deloitte research shows that companies adopting skills-based workforce models are 63% more likely to outperform competitors. McLean & Company reports that organisations with strong leadership are over twice as likely to excel in innovation. The leaders who build strategic agility now will compress the distance between decision and execution in ways their slower competitors cannot match. Top Future-Ready Leadership Skills for 2026 Digital & AI Literacy AI literacy is not about writing code. DDI defines it as “AI fluency”: the capacity to interrogate AI outputs, identify bias, and align AI-generated recommendations with business context and ethics. Leaders who treat AI as a black box will make worse decisions than those who engage with it critically. BCG data shows 75% of CEOs are now their organisation’s primary decision-maker on AI strategy. That responsibility demands a working understanding of what AI can and cannot do. Adaptability & Agility The half-life of professional skills is shrinking. Roles, market conditions, and organisational structures are shifting faster than traditional planning cycles accommodate. Adaptability in 2026 means two things: the ability to manage planned transformation systematically, and the reflexes to respond to sudden pivots without losing people in the process. This is one of the leadership skills for future environments that no amount of strategic planning can substitute for. It has to be practised in real conditions. Strategic Thinking Wharton research involving more than 20,000 executives identified six capacities that allow leaders to navigate uncertainty: the ability to anticipate, challenge, interpret, decide, align, and learn. What is notable is that all six are cognitive and relational, not technical. Strategic leadership skills in 2026 are about long-horizon thinking combined with the intellectual honesty to revise assumptions when evidence changes. Reactive leadership, moving from emergency to emergency, is a structural disadvantage. Emotional Intelligence As AI handles more transactional and analytical work, the distinctly human dimensions of leadership become more, not less, important. Harvard Business Review research consistently links empathetic leadership to higher innovation and team performance. Gallup’s finding that managers influence up to 70% of engagement means emotional intelligence is directly tied to retention, productivity, and culture. Leaders who treat EQ as a soft skill separate from business outcomes are misreading the data. Data-Driven Decision Making Data-driven leadership does not mean outsourcing judgment to dashboards. It means building the literacy to ask the right questions of data, recognize what is missing from a dataset, and combine quantitative signals with qualitative context. AI systems can process patterns at scale. They cannot provide the ethics, context, or accountability that high-stakes decisions require. Leaders who develop this combination will make better calls faster than those who rely on either data or instinct alone. Innovation & Creativity Business leadership trends in 2026 consistently point to innovation as a differentiator. McLean & Company’s data linking leadership strength to innovation performance is not an accident. Leaders create the conditions in which people either take creative risks or play it safe. This is not about mandating brainstorming sessions. It is about building psychological safety, modelling intellectual curiosity, and treating failure that generates learning as a different category from failure that repeats itself. Communication Skills Remote and distributed teams have not simplified communication. They have raised the standard for clarity, intentionality, and consistency. Leaders managing teams across time zones, cultures, and working styles need communication as a strategic instrument, not a default behaviour. In the leadership in AI era context, this also means communicating how AI decisions are made, and being… Continue reading Future-Ready Leadership Skills You Need in 2026

A completely unsurprising update.

The social logic that turns competence into crisis and ambition into anxiety

This part has no name

What we learned from the ruins and what we’re still repeating in 2025

Author: vinay.a@gravitasin.com

Quiet Quitting 2026: What Is Driving It and What Leaders Can Do

AI in Leadership: What Leaders Must Do Today

First Time Manager Guide: How to Lead a Team Successfully

Nobody Tells You About the Silence After

Storytelling for Leaders: How to Influence and Inspire Your Team

Future-Ready Leadership Skills You Need in 2026

We’ve Never Known More About Leadership. It Shows.

The Invention of Female Self-Doubt

Living Through the Almost

The Mirror of 1945

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