Author name: Dominique Brown

More than half of the companies that cut jobs for AI now wish they had not. The real story is not about the technology. It is about what happens when organizations stop asking the harder questions.       In 2025, 55,000 U.S. workers lost their jobs because their employers believed AI would replace them. Not because AI had proven it could. Because they believed it eventually would.  By the end of that year, Forrester’s research found that 55% of those same employers regret the decision. Half are expected to quietly rehire by the end of 2026, often at lower wages, often offshore, and almost always under a different job title. The technology that was supposed to render human work redundant turned out to need a great deal of human work to function at all. This is the story that most post-mortems get half right. They focus on the capabilities gap: AI was not ready, the tasks were too complex, and the institutional knowledge was irreplaceable. All of that is true. But the deeper failure was not technological. It was a failure to ask the right question before making an irreversible decision.  The right question was not: Can AI do this? It was: Should we, and if so, for whom?  What Actually Went Wrong    Between 2022 and 2024, a Swedish fintech eliminated approximately 700 customer service positions, replacing them with an AI assistant it publicly described as doing the work of 700 people. The announcement was received as proof of concept for AI-driven workforce reduction at scale.  By early 2025, internal reviews and customer feedback told a different story. Satisfaction ratings had fallen. Customers were frustrated by robotic responses, inflexible scripts, and the particular indignity of having to repeat their problem to a human after the bot had failed to resolve it. Their CEO eventually said it plainly: “We focused too much on efficiency and cost. The result was lower quality, and that’s not sustainable.” The company began rehiring.  The technology that was supposed to render human work redundant turned out to need a great deal of human work to function at all.   This company was not uniquely reckless. The pattern it established has since been documented across enough organizations that Forrester built it into their 2026 workforce predictions as a structural expectation rather than an outlier. Advanced AI agents currently achieve around a 58% success rate on single-step tasks. For multi-step tasks requiring critical thinking, contextual judgment, and nuanced problem resolution, that figure drops to approximately 35%. Companies made massive workforce decisions based on projections of AI capability that the technology has not yet reached and, in most cases will not reach on the timelines assumed.  What filled the gap was not AI. It was lower-paid workers, often offshore, managing the interactions that the system could not handle. The cost savings that looked compelling on an investor slide were quietly offset by customer churn, brand damage, loss of institutional knowledge, and the expense of rebuilding the human capacity that had been discarded.  The Question Nobody Asked   There is a specific kind of organizational failure at work here, and it is worth naming directly. It is not naïvety about technology. It is the subordination of strategic judgment to the appearance of innovation.  Some organizations cut staff because AI genuinely enabled them to deliver better outcomes with leaner teams. A smaller number did it because investor pressure, earnings calls, and the gravitational pull of a dominant narrative made it feel like the thing that forward-looking companies do. Forrester’s own language is pointed: “Too often, the C-suite lays workers off for the future promise of AI.” Not the current capability. The future promise.  The question was not: can AI do this? It was: should we, and if so, for whom?    That distinction matters enormously, because it reveals what the decision was actually optimizing for. When organizations cut human capacity ahead of proven AI capability, they are not optimizing for better outcomes for clients. They are optimizing for a metric: cost-per-head, margin improvement, the optics of being seen to lead on AI transformation. The client, whose experience had degraded, was not the primary consideration. The shareholder presentation was.  This is the AI regret story that is not being told clearly enough. It is not primarily a story about technology that overpromised. It is a story about organizations that abdicated the leadership responsibility to ask what they were actually optimizing for, and whether the clients and customers they serve would agree that it was the right thing.  Augmentation Is Not a Softer Version of Replacement    The industry has largely settled on augmentation as the corrective narrative: use AI to handle routine, high-volume tasks so that humans can focus on the judgment-intensive work that machines cannot do. This is directionally right. But it carries its own risk of being applied superficially, as a reframing exercise rather than a genuine strategic rethink.  Augmentation done well asks: how do we use this technology to deliver a meaningfully better experience to the people we serve? Augmentation done poorly asks: how do we use this technology to reduce our cost base while maintaining the appearance of quality? These are not the same question, and the organizations currently rehiring the staff they let go have learned, expensively, that the answer to the second question tends to produce the outcomes Klarna experienced.  PwC’s 2025 Global AI Jobs Barometer, analyzing nearly a billion job postings across six continents, found that industries most exposed to AI are seeing 3x higher revenue growth per employee than the least exposed industries. Not because they cut people. Because they made people more capable. Workers with strong AI skills command a 56% wage premium, more than double the 25% premium from a year earlier. This is what genuine augmentation produces: it compounds human capability rather than substituting for it.  The organizations producing these results are making deliberate choices about where technology creates value for their clients and where it creates efficiency for their balance sheets, and they are honest about the difference. That kind of honesty requires true leadership. It cannot be automated.  What AI Cannot Lead    There is a version of the AI conversation in executive circles that treats leadership itself as eventually automatable: a set of decisions that, with sufficient data and processing power, could be made better by a system than by a person. This version deserves direct challenge, not because it is technologically impossible in some bounded future, but because it fundamentally misunderstands what leadership is.  Leadership

  What if the biggest thing holding senior leaders back in a job search isn’t their resume, it’s their mindset?  In this episode, Brian Hain sits down with Valerie Derome, Founder of zscala and Executive Coach and Advisor with over 25 years of experience across corporate giants, startups, and her own practice. Valerie brings a refreshingly honest lens to one of leadership’s most overlooked challenges: what happens to a leader’s identity, confidence, and performance when they become a candidate.  From her concept of “Capacity for Chaos,” a framework for understanding what actually drives sustainable performance, to the Abundance vs. Scarcity mindset that separates leaders who show up powerfully from those who appear desperate, this conversation is packed with insight for anyone navigating a career transition or leading through uncertainty.  Whether you’re in a job or between jobs, this episode will change the way you think about value, identity, and what it means to lead from strength.  Reach out to request a meeting to discuss how we can help you build a best-in-class leadership team: https://msearchadvisory.com/contact-us/ 

Most organizations hire for what leaders know and what they have done. The leaders succeeding in 2026 are distinguished by something harder to see and far harder to assess: the capacity to remain effective when the situation is genuinely unsettled. There is a pattern that plays out with remarkable regularity in executive transitions. An organization appoints a leader whose credentials are unimpeachable: deep expertise, a strong track record, excellent references. Within eighteen months, something has quietly gone wrong. Not dramatically, but in the accumulated way that erodes team cohesion, stalls decisions, and leaves everyone wondering why a hire that looked so right on paper feels so off.  McKinsey research has found that up to 40% of leaders fail within the first eighteen months of a new role. The reason is almost never a deficiency in competence. It is almost always a gap in what researchers and coaches are increasingly calling capacity: the ability to remain present, grounded, and effective when the environment is complex, information is incomplete, and the pressure to perform is relentless.  The distinction matters enormously right now. The operating environment of 2026 is precisely the kind of environment that exposes a capacity gap. Trade fragmentation, AI integration at pace, geopolitical volatility, and sustained disruption have created conditions where technical competence is table stakes, and where the leaders who are genuinely performing are those who can hold complexity without forcing premature resolution.  The Distinction, Precisely Defined  Competence is the currency of organizational life: technical expertise, interpersonal skill, and the accumulated experience of having navigated comparable situations. It is essential. It is also increasingly insufficient on its own.  Capacity is different in kind. INSEAD researcher and executive coach Annie Peshkam, writing in Harvard Business Review in February 2026, offers the clearest formulation available: competence helps organizations run smoothly. Capacity begins where competence ends. It is the ability to remain present with tension long enough for shared meaning to emerge, rather than forcing resolution before the situation has revealed enough signal.  Competence equips a leader to manage and organize people so the business runs smoothly. Capacity equips a leader to remain present in the many moments when the business and the people in it are unsettled.  The practical difference shows up in recognizable ways. A high-competence leader facing an ambiguous strategic decision will often quickly reach for familiar frameworks, resolve the tension with a confident call, and move forward. This works when the situation resembles past experience. It fails when the environment is still revealing information that would change the call, and when premature closure forecloses options that were still open.  A high-capacity leader in the same situation holds the tension longer. They surface assumptions underlying competing positions. They resist the organizational pressure to project certainty they do not yet have. They make the decision when it needs to be made, but not before, and from a place of considered judgment rather than anxiety-driven closure. This is not a personality type. It is a developed capability, and the current environment is demanding it at every level of seniority.  Why This Is the Defining Distinction Right Now  The World Uncertainty Index has recorded its five highest measurements in the last five years. Mentions of uncertainty in Glassdoor reviews are up 80% year over year. It appeared in 87% of public earnings statements in early 2025. Uncertainty is not a passing condition. It is the operating environment.  McKinsey’s State of Organizations 2026, drawn from 10,000+ senior executives across 15 countries, identified what it called the optimism gap: just over half of respondents expect positive outcomes from their transformation efforts, yet 72% feel unprepared to achieve them. This is a capacity problem. Organizations have the competence to articulate what transformation requires. What is missing is the internal capacity to sustain effective leadership through the conditions that transformation actually produces.  The leaders navigating this environment best are not simply adding new skills or frameworks. They are doing the harder work of examining the assumptions on which their competence was built: that speed signals strength, that certainty builds trust, that the leader’s job is to absorb organizational anxiety and release it as direction. These assumptions were functional in the environments that produced them. They are increasingly counterproductive in the one that exists now.  What This Means for Executive Search  The standard executive assessment infrastructure is well-designed to evaluate competence. Behavioral interviews, reference conversations, and case studies are valuable tools. They are also tools designed to assess what a candidate has done and how, which is a reliable proxy for future performance when the future resembles the past. The gap between what most processes measure and what complex roles actually require has become consequential.  Assessing capacity requires different questions, different scenarios, and a different interpretive frame. It requires scenarios that are genuinely ambiguous, not puzzles with right answers dressed up as complexity, but situations where information is incomplete, stakeholder positions are in legitimate tension, and no clean resolution is available. And it requires interviewers who can resist the pull toward candidates who project confident certainty, since that projection is precisely the behavior capacity-deficient leaders exhibit most reliably.  Three specific changes make an immediate difference.  Redesign your scenario questions for genuine ambiguity  Stop designing cases with defensible answers. Evaluate not what the candidate concludes, but how they engage with the uncertainty. Do they acknowledge what they do not know? Do they sit with competing considerations long enough, or resolve the tension faster than the situation warrants? The quality of the process reveals more about capacity than the quality of the conclusion.  Probe the moments of not-knowing in reference conversations  Ask references to describe a moment when the candidate was visibly uncertain or out of their depth, and then describe specifically what happened next. High-capacity leaders will have stories in which they named the uncertainty openly, brought others into the sense-making, and made considered decisions without performing with confidence they did not have. Lower-capacity leaders will have stories that retrospectively resolve ambiguity into a narrative of decisive action.  Listen to how candidates talk about their failures  The capacity to learn from failure requires genuine reflective engagement with it. Ask about a significant professional failure and listen for the quality of the reflection, not just the content. Do they locate the failure in external factors, or engage honestly with their own role? Do they describe real

Staying informed and agile in your approach while remaining steadfast in your purpose is not a soft skill. In 2026, it is the defining discipline of effective leadership. There is something clarifying about the second quarter of a year. The resolutions of January have either taken root or quietly faded. The optimism that tends to carry people through the first weeks of a new year has been tested, revised, and in some cases, replaced by a more pragmatic understanding of what this particular year is actually going to require. In 2026, that reckoning has been sharper than most. The macroeconomic environment that executives and professionals are navigating is defined not by a single dominant challenge but by a convergence of pressures: trade policy uncertainty following significant tariff realignments, geopolitical volatility across multiple regions, labor markets that are cooling unevenly, and an AI acceleration that is reshaping entire functions faster than most organizations planned for. According to McKinsey’s most recent Global Survey on economic conditions, nearly seven in ten senior executives now rank a darker economic outlook as the most likely near-term outcome, a meaningful shift in sentiment from the start of the year.  And yet: the organizations and individuals who are performing well in this environment are not doing so because the uncertainty has lifted. They are doing so because they have learned to lead through it. They have stopped waiting for clarity as a prerequisite for action and developed instead the discipline of staying anchored to purpose while remaining genuinely agile in how they pursue it.  This piece is for the leader who is honest with themselves about where the year has gone so far, and who wants a practical framework for the rest of the year. Not a motivational reset, but a real one.  Why Q2 Is the Right Moment to Recalibrate  Most professional development frameworks are built around the calendar year: goals set in January, reviewed in December, with a midyear check-in somewhere in between that rarely receives the attention it deserves. In an ordinary year, this cadence is merely imperfect. In a year like 2026, it is genuinely inadequate.  The conditions that existed when you set your priorities in January are not the conditions you are operating in today. The Conference Board’s C-Suite Outlook 2026, which surveyed over 1,700 executives globally, found that 36% of CEOs worldwide now name an economic downturn as their primary concern, while 29% rank uncertainty itself as the top threat. These are not abstract forces. They translate, at the individual and organizational level, into hiring freezes, restructured timelines, shifted strategic priorities, and the kind of cumulative decision fatigue that quietly erodes judgment over months.  Q2 is the right moment to recalibrate precisely because it sits at the intersection of enough time elapsed to have real information and enough of the year remaining to act on it meaningfully. It is the moment when the gap between where you intended to be and where you actually are becomes visible, not as a failure, but as data.  The leaders who use this moment well are not the ones who set more ambitious goals or redouble their effort. They are the ones who take a clear-eyed look at what the year has taught them so far, what still matters, what has changed, and what needs to be let go of entirely. That kind of honest inventory is harder than it sounds, and more valuable than almost anything else a senior leader can do right now.  The Context You Cannot Ignore  Practical renewal does not happen in a vacuum. It requires an honest reckoning with the environment you are actually operating in, not the one you planned for. In 2026, that environment has several defining characteristics that every leader should have clearly in view.  Trade and tariff uncertainty is structural, not temporary  The tariff realignments of the past year have not resolved into a stable new normal. McKinsey’s global survey identifies changes in trade policy and relationships as the primary disruption to growth for the second consecutive quarter. For organizations with global supply chains, client bases, or talent pools, this is not background noise. It is a strategic constraint that requires active attention, not a problem to be delegated to procurement and forgotten about at the leadership level.  The AI acceleration is creating genuine organizational stress  EY’s 2026 Global Economic Outlook notes that business investment in AI-related capital and operations remains strong even as broader non-tech investment contracts. This bifurcation matters: organizations that are investing in AI are doing so while simultaneously managing the disruption it creates for their existing teams, roles, and workflows. The executives who are navigating this most effectively are not the ones who have handed AI strategy to a dedicated task force and stepped back. They are the ones who have developed their own genuine fluency with what the technology can and cannot do, and who are making considered decisions about where it amplifies human judgment and where it risks replacing it prematurely.  Talent dynamics have shifted again  The labor market cooling that economists have been forecasting is now visible in real terms. Unemployment is rising in several major economies, the pace of hiring has slowed, and the leverage dynamic between employers and candidates has shifted. For senior leaders, this creates both risk and opportunity: the risk of losing high performers to organizations that are more deliberate about retention and development, and the opportunity to recruit exceptional talent that would not have been accessible twelve months ago. Neither outcome is automatic. Both require intentional leadership.  Uncertainty fatigue is real, and it is affecting judgment  Three years of back-to-back disruption, from pandemic recovery to inflationary pressure to geopolitical instability, have produced a form of cumulative stress in senior leadership that does not always look like burnout but operates with similar effects. Decision quality degrades. Risk tolerance becomes either excessively conservative or, paradoxically, reckless. The discipline required to stay anchored to long-term purpose while adapting tactics is precisely the discipline that erodes first under sustained pressure. Naming this dynamic is the first step to managing it.  A Framework for Practical Renewal  What follows is not a goal-setting exercise. It is a recalibration framework: a set of practices that help leaders reconnect with what matters, assess where they actually

On rethinking how organizations define, evaluate, and select executive talent. Why the inherited template for leadership is no longer fit for purpose. Something quietly breaks in most executive searches before the first candidate is ever reviewed. It happens in the moment when an organization decides what it is looking for, and reaches, almost instinctively, for a familiar template: confident, decisive, commanding, outwardly certain. Someone who projects authority before the data is fully in.  That template has driven hiring decisions for decades. It has also consistently caused organizations to overlook exceptional leaders who do not fit its contours. This is not because those leaders lack the capability or the results, but because they express leadership in ways the template was never designed to recognize.  At M SEARCH, with 18+ years of evaluating both internal successors and external candidates for the same executive seats, we see this play out constantly. The most costly mistake an organization can make is confusing a talent gap with a definition gap in disguise. And in our experience, it is far more often the latter.  Kingsley Gate – The True Cost of a Bad Executive Hire  M SEARCH – The Hidden Costs of a Bad Executive Hire  The Archetype That Still Runs the Room  The dominant executive archetype, direct, assertive, certain, and individualistic, was not designed through evidence. It emerged through repetition: decades of organizations hiring leaders who resembled the leaders before them, until that profile became synonymous with the idea of leadership itself. Style and substance were conflated. And once that conflation embedded itself into evaluation frameworks, interview panels, and the informal instincts of hiring committees, it became extraordinarily durable.  The consequences are measurable. In practice, candidates whose leadership presence manifests as deep listening, collaborative decision-making, or precision over performance are routinely flagged as “not quite ready.” The feedback tends to be coded: needs more gravitas, a bit too collaborative for this level, hasn’t owned the room yet. What it never surfaces is the implicit benchmark being applied, one that confuses a style of authority with the substance of leadership.  The evidence, meanwhile, points in a different direction. Research on organizational performance consistently finds that modern leadership challenges, navigating volatility, retaining talent, and executing through complexity, are better met by leaders who bring collaborative judgment, relational intelligence, and adaptive communication than by those who rely primarily on directive authority. Organizations are selecting for the wrong archetype, and the costs of that mismatch are accumulating.  Journal of Business and Management Sciences: Collaborative Leadership and Performance  Gallup: Managers Account for 70% of Variance in Employee Engagement  McKinsey: New Leadership for a New Era of Thriving Organizations  What the Talent Market Is Actually Telling Us  There is a persistent assumption in executive hiring that strong candidates will be self-evidently recognizable, that the right leader will project an unmistakable quality that makes the decision straightforward. This assumption is both widespread and costly.  When strong candidates are passed over in external searches or stalled in internal succession conversations, organizations commonly attribute it to pipeline scarcity: not enough qualified people in the market. The data tells a different story. The pipeline is not empty. The evaluation process is filtering it.  The underlying dynamic applies well beyond any single demographic. When evaluation criteria reward style over outcomes, presence over performance, certainty over judgment, entire categories of high-caliber candidates are systematically discounted. This is not a sourcing problem. It is a selection problem. And it is one that no amount of expanded candidate slates will solve without a corresponding shift in how those candidates are evaluated once they are in the room. The result is a genuine and measurable loss of executive talent that organizations can neither afford to ignore nor continue to explain away, especially as we see our biases reemerging in AI training data.  Management Science (INFORMS): Underrecognition and Talent Loss from Forced Ranking  Harvard Business Review: Why the Glass Cliff Persists  Taylor & Francis / Tandfonline: Reducing AI Bias in Recruitment and Selection  What Rigorous, Executive Selection Actually Requires  The organizations that consistently identify and secure the strongest executive talent, from internal succession and external search alike, have made a deliberate shift in how they approach selection. These are not diversity initiatives. They are improvements to the quality and rigor of the hiring process itself.  1. Define Executive Fit Before the Search Begins  The most consequential moment in any search happens before the first candidate is reviewed: when the organization articulates what it is actually looking for. Too often, that definition defaults to the profile of the last person in the seat, or to informal consensus around familiar archetypes. Rigorous searches define fit from evidence, from the outcomes the role needs to drive and the capabilities research shows are predictive of them, not from cultural comfort or historical precedent. This discipline applies equally to the internal candidate who has been visible for years and the external candidate entering the process fresh.  Deel. – How to Develop a Leadership Competency Framework: Step-by-Step Guide  2. Separate Style from Substance in Every Evaluation  Interview panels and assessment processes must be explicitly designed to distinguish between how a candidate presents and what a candidate has actually delivered. That means structuring evaluations around outcomes, specific decisions made, teams built, results achieved in comparable conditions, and applying a consistent framework across all candidates, rather than allowing divergent informal impressions to drive the final conversation. When “feel” and “fit” are left undefined, inherited bias fills the gap.  Google re:Work – Use Structured Interviewing  3. Interrogate the Advocacy Dynamic on Both Sides  Executive selections are rarely decided by formal process alone. Internal candidates benefit from sponsors who champion their readiness in the rooms where decisions are made. External candidates benefit from search partners who bring full context and a generous interpretation of non-traditional career paths to the committee. Organizations that produce better outcomes make this dynamic visible: they ask who is actively advocating for each finalist, and they ensure that advocacy is grounded in evidence rather than familiarity or comfort.  Harvard Business Review: How to Do Sponsorship Right  4. Hold the Process Accountable to Its Own Standards  The most well-designed selection process is only as good as its execution. Organizations that consistently make strong hires build accountability into the process itself: they track outcomes over time, debrief honestly

    What separates good leaders from truly great ones? In this episode of Leadership Delivered, M SEARCH’s Fernando Vega sits down with the newest team member, Brian Hain, a triathlon coach turned entrepreneur turned Director of Client Growth, to explore the through line connecting every great leader he’s ever known: being human.  From building communities on a kickball field to managing multi-million dollar businesses, Brian’s career is a masterclass in what it means to lead through service rather than authority. Together, Fernando and Brian unpack what it really takes to hire well, why AI will never fully replace human judgment, and how the leaders who leave the biggest legacies are the ones who show up for people consistently, authentically, and over the long haul.  Whether you’re scaling a team, stepping into a new leadership role, or thinking about the mark you want to leave, this conversation will resonate.  Listen to the episode and when you’re ready to build a leadership team that lasts, we’d love to connect. 

We are living through an extraordinary moment in business history. AI systems now orbit our organizations like satellites circling Earth; present in everything from the coffee maker in your executive suite to the fitness trackers on your leadership team’s wrists. With 91% of organizations using at least one form of AI technology and 77% having integrated AI into operations, the transformation is breathtaking in scope and speed.  Everything is being upgraded. Processes that took weeks now take minutes. Decisions that required committees now require prompts. Yet amid this whirlwind of algorithmic advancement, one truth remains not just relevant but essential:   No one understands people better than other people.  When AI can analyze data, generate content, and automate workflows with unprecedented efficiency, the differentiating factor in executive leadership is no longer what tools they can use. It’s how deeply they understand the humans who use them. This brings us to the Culture Multiplier: the phenomenon where cultural alignment between executive leadership and organizational DNA doesn’t just add value, it multiplies it.  The Paradox: Technology Everywhere Making Human Insight Even More Precious  As AI becomes ubiquitous, human judgment becomes precious. ChatGPT has over 800 million weekly active users. Marketing teams report 93% improvements from AI workflows. The technology sector shows 77% total AI adoption. This is wholesale organizational transformation.  But who decides which AI tools to deploy and why? Who navigates the tension between efficiency gains and cultural erosion? Who understands that the anxious data scientist needs different leadership than what worked in 2023?   Executives who possess deep cultural intelligence.  AI can process sentiment analysis on employee communications. But it cannot sit across from a senior director and recognize the subtle shift in body language that signals disengagement. It cannot read the room when a strategic pivot is announced. It cannot sense when a high-performing team is approaching burnout despite hitting all their KPIs.  While 54% of organizations prioritize cultural fit over technical skills, and 89% of hiring failures stem from poor cultural fit rather than lack of competence, many executive searches still treat culture as secondary. This is backwards. In an era where technical capabilities can be acquired, augmented, or automated, cultural fit has evolved into the primary determinant of executive success.  The Cost of Getting It Wrong  In 2026’s volatile environment, which has already been marked by economic uncertainty, rapid AI integration, and evolving workforce expectations, the price of cultural misalignment has become existential. Consider what a poorly aligned executive creates:  Strategic whiplash – when leadership approaches conflict with established practices.   Talent hemorrhaging – 33% of workers have left jobs due to cultural misalignment, and in today’s market, where 73% prioritize culture alongside compensation, a tone-deaf leader is a retention catastrophe.   Innovation paralysis – while aligned organizations are 3.7 times more likely to be agile and innovative, misalignment creates organizational arthritis.   Market value destruction – poorly managed leadership transitions can eliminate nearly one trillion dollars in market value annually for S&P 1500 companies.  What Cultural Fit Actually Means  Cultural fit is   not about hiring people who look the same or share the same background. That’s homogeneity, which undermines the diversity that drives innovation. Companies in the top quartile for diversity are 21-33% more likely to outperform on profitability.  Cultural fit   is about alignment on core operating values, human-AI philosophy, communication architecture, risk orientation, and stakeholder prioritization. These aren’t right or wrong answers; they’re compatibility questions. A leader who thrives in a move-fast culture will struggle in an organization that values measured deliberation.  The new dimension in 2026: How does this executive view the relationship between human workers and AI systems? Are they an AI maximalist who sees every human task as a candidate for automation? Or do they hold a nuanced view that AI should amplify human capability rather than replace it? With 92% of CHROs anticipating greater AI integration, executive philosophy on this question shapes everything from talent retention to innovation capacity.  The Human Intelligence AI Cannot Replicate  Truly exceptional executive leadership requires capabilities that remain profoundly human:  Pattern recognition across ambiguous contexts. When a CFO senses that the numbers look fine but something feels wrong with the finance team’s morale, that’s human intuition, not data analysis.  Authentic relationship building. Trust is built through consistent behavior over time, through vulnerability, through keeping commitments when it’s difficult. This is crucial during uncertainty, and organizational changes like AI transformation, scaling up, or strategic pivots, where employee anxiety requires leaders who’ve earned the right to be believed.  Contextual judgment. An executive with deep cultural fit understands not just what to do but when and how to do it in ways that carry the organization forward.  Meaning-making during uncertainty. When 72% of HR professionals report workers have higher expectations and 77% worry about AI job displacement, organizations need leaders who can acknowledge complexity, hold space for anxiety, and provide genuine direction even when the path isn’t fully clear.  Ethical navigation in gray zones. How much employee surveillance is acceptable? When does algorithmic decision-making cross the line from efficiency to dehumanization? These questions require moral reasoning shaped by values, experience, and cultural context.  How Boutique Executive Search Delivers What Algorithms Cannot  AI-powered platforms can scan thousands of resumes in seconds. Algorithms can match keywords with impressive precision. But none of these tools can deeply understand your organization’s culture and identify the executive who will not just fit but flourish.  The boutique executive search model provides:  Cultural diagnostics before candidate search. We start by understanding you, your unspoken rules, what happened to executives who struggled, and what your highest performers have in common beyond résumés. The search strategy follows from cultural diagnosis.  Stakeholder alignment mapping. We map the complex web of relationships, boards, peer executives, direct reports, and key customers to understand not just who holds formal power but who holds informal influence.  Behavioral pattern analysis. We examine how candidates have actually behaved under pressure, how they’ve built teams, and how they’ve navigated organizational politics. We look for consistency between stated values and actual decision history.  Leadership chemistry assessment. We facilitate conversations that allow authentic interaction, looking for natural rapport, mutual respect, and the psychological safety that enables productive disagreement.  Future-state alignment. We assess against where you’re going, not just where you are. If you’re three years into a transformation, we’re looking for who will succeed in 2027, not 2023.  This work requires judgment, discretion, relationship-building, and contextual intelligence; precisely the capabilities that remain uniquely human.  The Multiplier Effect  Cultural fit doesn’t add; it multiplies. An executive with a brilliant strategy but a poor cultural fit creates division. Their insights get dismissed, their initiatives slow-walked. They might only move the needle incrementally, against organizational resistance.  An executive with strong cultural fit creates multiplication. Their ideas get amplified through genuine buy-in. Their presence creates alignment. They don’t just move the needle. They move the whole organization forward with compounding returns.  Your

Leadership Delivered Podcast Episode 6: Leadership in Motion – Endurance, Trust, and Purposeful Change with Alison Cowan  In this episode of Leadership Delivered, we sit down with Alison Cowan, a Business Performance Consultant & Coach, and Global HR Executive whose three-decade career spans industries, geographies, and moments of profound change. Alison brings a deeply human perspective to leadership, one shaped by experience, adaptability, and an unwavering belief in the power of relationships.  Together, we explore what it means to lead when nothing is static. From navigating non-linear career paths to building trust before it’s needed, Alison shares insights on why endurance and authenticity, not perfection, are the hallmarks of effective leadership. The conversation dives into purposeful change, the courage to lead with authenticity, and how vulnerability and positive conflict can strengthen teams in an ever evolving workforce.  This episode is a thoughtful reflection on leadership as a living practice. One that requires empathy, clarity, and the ability to move forward with intention, even when the path isn’t fully defined.

As leaders enter 2026, the rhythms of corporate governance, strategy, and operational execution look markedly different from even a few years ago. After a period of economic volatility, accelerated technological adoption, and a redefinition of stakeholder expectations, boards and CEOs are recalibrating their agendas, not merely for the year ahead, but for a landscape defined by rapid change, persistent uncertainty, and strategic opportunity.  The first 90 days of any year set the tone for leadership focus and organizational alignment. In 2026, CEOs are prioritizing a blend of growth, resilience, technology adoption, and talent strategy, all tempered by cautious optimism and a deeper understanding of risk.  Below, we explore the priorities that have emerged, supported by current research and executive insights, and what they signal for teams, boards, and the business landscape in the year ahead.  Redefining Confidence in Leadership After Uncertainty As we enter 2026, business leaders are demonstrating measured confidence that is grounded in strategic clarity rather than optimism alone. According to J.P. Morgan’s 2026 Business Leaders Outlook, 71% of business leaders (including a large share of CEOs and C-suite executives) are optimistic about their own company’s prospects this year, even as industry sentiment softens compared with 2025. These executives are prioritizing growth strategies, product innovation, revenue performance, and workforce decisions that reflect their ability to adapt and execute through complexity rather than assuming a return to “normal.”   This landscape requires leaders who can balance discipline with forward momentum, signaling that confidence is not merely bullish language but rooted in dynamic execution frameworks and accountability.  CEOs are thus redefining confidence through:  Realistic strategic planning that incorporates volatility and opportunity simultaneously  Actionable growth plans that include new products, strategic partnerships, and expanded market reach  Operational resilience that prioritizes revenue targets without overextending resources  Resource: 2026 Business Leaders Outlook – J.P. Morgan provides a snapshot of executive optimism, strategic focus, and the practical confidence leaders bring into 2026.   Technology and AI Are Now Core Strategic Pillars AI is no longer an exploratory initiative; it’s a strategic imperative. Across industries, CEOs are shifting from experimentation to enterprise-wide adoption, allocating meaningful resources to AI infrastructure, predictive analytics, and automation. A broad coalition of executive insights indicates that AI,  when applied responsibly, enhances decision quality, accelerates growth, and modernizes core processes.   Leaders are investing not just in tools, but crucially, in AI fluency across the C-suite, recognizing that digital competence at the top of the organization is essential for capturing upside and managing risk. Responsibilities around AI governance, ethics, and cybersecurity are increasingly part of CEO agendas.   What this means for leaders:  AI strategy must be tightly aligned with business goals.  Leaders must cultivate cross-functional fluency and not just technological awareness, but strategic integration.  Ethical oversight, bias mitigation, and data stewardship are now executive priorities.  Resource:  5 Business trends in 2026 that will transform leadership and strategy  Leadership 2026 The Rise of AI Native CEOs and Human-Centric Organizations  Revenue Growth and Financial Discipline Go Hand-in-Hand While growth remains top of mind, CEOs are approaching it with renewed fiscal discipline. Organizations are navigating external pressures, from macroeconomic headwinds to supply chain complexity, with a blend of innovation and operational focus.  Financial executives and CEOs alike are integrating technology investment with disciplined spending to drive long-term performance:  Revenue growth is a top priority for nearly half of finance executives this year.   AI, automation, and digital transformation feature heavily in budgets designed to modernize operations, improve productivity, and unlock new business models.  In this context, boards measure performance beyond quarterly results. They look for leaders who can sustain growth while preserving liquidity, enhancing operational resilience, and maintaining strategic optionality.  Resource:  2026 Financial Executives Priorities Report, highlights how technology, growth strategy, and disciplined performance intersect in CEO agendas.   Talent Strategy Is Under Scrutiny And Evolving  Attracting and retaining best-in-class talent remains a CEO priority,  but how organizations approach talent is shifting. In a world where AI adoption reshapes workforce requirements, leaders increasingly view skills transformation, leadership readiness, and human-centric cultures as competitive differentiators.   Talent priorities CEOs are focusing on include:  Upskilling and Reskilling: Building capabilities for future work through ongoing learning.   Strategic Talent Deployment: Shaping roles and performance systems so that human potential aligns with organizational goals.   Leadership Development: Recognizing that emotional intelligence, adaptability, and judgment are foundational traits for current and rising executives.  For executive search professionals, this means partners must bring deeper insight into cultural alignment, future readiness, and leadership behaviors, not just functional competence.  Resource:  Gartner’s Talent Management Trends for 2026: outlines how leaders are reshaping workforce strategies to meet evolving demands.   Boards Are Sharpening Their Focus on Risk, Alignment, and Purpose In 2026, boards are not passive overseers; they are active strategic partners. Influential priorities for boards now include:  Broader Leadership Confidence Metrics: Boards increasingly evaluate leaders on transparency, ability to pivot, and execution discipline, not just performance against goals.   Governance of Emerging Risk: From technology governance to geopolitical instability, boards expect structured, resilient responses.   Purpose-Driven Strategy: Leaders are expected to reconcile shareholder expectations with broader stakeholder value (e.g., environmental and social context).  This emphasis on purposeful, transparent leadership is changing how executives interface with boards and setting a heightened bar for trust, accountability, and foresight.  Resource:  KPMG’s 2026 Board Agenda: insights into evolving board priorities and expectations for CEO performance.   What This Means for Executive Hiring The executive talent market in 2026 reflects these strategic priorities: boards and CEOs are looking for leaders who can execute in ambiguity and lead with clarity. Key implications for executive hiring include:  Contextual Leadership Evaluation: Assessments that look beyond functional experience to strategic judgment, cultural alignment, and future adaptability.  AI and Digital Fluency: Expectations for leaders to understand technology’s implications; not as coders, but as orchestrators of transformation.  Human-Centered Leadership: Appreciation for emotional intelligence, ethical judgment, and workforce engagement as core differentiators.  In a landscape where talent decisions can define competitive advantage, executive search partners must act as strategic advisors, not just fill roles.  Closing Thoughts: The First 90 Days and the Year Ahead  The early months of 2026 signal a broader shift in what effective leadership looks like. CEOs are balancing growth with risk management, embracing technology responsibly, and forging stronger alignment with boards and stakeholders. Leaders who succeed will be those who:  Integrate technology into strategic thinking without losing sight of human leadership  Prioritize disciplined growth supported by financial prudence  Build resilient talent models that reflect future demands  Lead with clarity, purpose, and accountability  At M SEARCH, we see these themes not as trends, but as a continuously evolving and nuanced operating system for