McKinsey’s State of Organizations 2026: AI Creates Disruption & Urgency
About the Report
McKinsey & Company is one of the world’s leading management consulting firms, advising organizations across industries on strategy, operations, and organizational performance. This is their second annual State of Organizations report, updating findings first published in 2023. The research draws on a survey of more than 10,000 senior leaders across 16 countries and 17 industries, conducted from June to September 2025.
The report was led by a 17-strong team of McKinsey senior and associate partners. Lead authors include Senior Partners Dana Maor (Tel Aviv), Alexis Krivkovich (San Francisco), Ramesh Srinivasan (New York), Arne Gast (Amsterdam), Amadeo Di Lodovico (Dubai), Brooke Weddle (Washington, DC), and Ulf Schrader (Hamburg).
Three Tectonic Forces Reshaping Organizations
The report opens with a clear organizing thesis:
Organizations in 2026 face three deep structural disruptions that are not temporary and are deeply interconnected. The big takeaway is that sustained performance and value creation have replaced short-term resilience as the primary leadership priority.
The three forces are:
Technology disruption (AI, automation, and agentic systems reimagining how work gets done)
Economic disruption (geopolitical fragmentation, trade volatility, and the need for regional adaptability)
Workforce shifts (evolving employee expectations, changing demographics, and new tech-driven working models).
Despite this, 72% of leaders say their organizations are not fully ready to face upcoming changes.
The Nine Organizational Shifts
Technology Disruption
Unlocking the AI-enabled organization.
88% of organizations are experimenting with AI, but 81% report no meaningful bottom-line impact.
Success requires a double transformation: technological and organizational. Only 14% of organizations have leaders consistently championing AI with a clear strategy.
Humans and AI agents: building a new world of collaboration.
55% of leaders say that developing AI-savvy employees will unlock exponential productivity gains.
But most expect AI to serve mainly as a support tool in the near term.
Only 25% expect autonomous AI teammates within two years.
Around 75% of current roles will need to be reshaped as AI embeds across workflows.
Leveraging AI to rewrite the future of shared services.
Traditional shared-services centers are evolving into AI-native global business services (GBS) hubs.
84% of organizations plan to expand the scope of shared services within 2 years.
Only 6% are currently realizing full value from advanced technologies.
Economic Disruption
Finding value in a new geopolitical context.
72% of leaders report notable geopolitical impact on their organizations.
Rigid structures (38%), local regulations (32%), and cultural resistance (29%) are the main barriers to quick responses.
Only 26% conduct quarterly scenario planning.
From structure to flow: reaching the next productivity frontier.
43% of leaders say productivity is their top priority, yet two-thirds see their organizations as overly complex.
Traditional remedies like restructuring and flatter hierarchies yield diminishing returns.
The real lever is to redesign end-to-end processes and eliminate duplication.
Focusing on the core: doing the right thing with more intensity.
56% of C-suite leaders are clear on their must-win battles, but clarity drops to 27% at middle management.
Only 30% of organizations reallocate resources enterprise-wide.
The main barriers are internal resistance, poor decision-making processes, and a lack of will to make bold calls.
Workforce Shifts
Aiming higher with a new performance edge.
Fewer than 25% of organizations achieve sustained performance improvement.
Only 20% of leaders believe nonfinancial rewards meaningfully drive performance, leaving most organizations underinvested in human motivation.
Organizations focusing on both people and performance are 4.3x more likely to sustain top-tier financial results.
Sharpening the focus on diversity and inclusion.
90% of global leaders still see D&I as a priority.
Four in five organizations are maintaining or expanding D&I efforts.
The main challenge is demonstrating measurable outcomes rather than symbolic action.
Reinventing leadership: leading from the inside out.
Command-and-control models are giving way to human-centric approaches built on self-awareness, psychological safety, and empathy.
Reflective leaders are 30% more confident in their organizations’ ability to adapt.
56% of leaders cite employee satisfaction and retention as the top benefit of human-centric leadership.
Business as Change: The Closing Argument
The report ends where the nine shifts point:
Transformation is no longer an episodic project.
The old model of launching a change program and then returning to business as usual is no longer viable. McKinsey frames the new normal as ‘business as change,’ a permanent operating state requiring continuous adaptability and resilience.
Four implications follow:
Change must be built into the operating model, not bolted on.
People, behavior, and culture remain the engine; technology alone does not drive transformation.
AI changes the shape of change management itself, requiring leaders to co-create with employees rather than simply roll out tools.
Clarity of destination matters; organizations need a clear North Star and a deliberate sequencing of change across functions and levels.
What’s Next
The forward-looking signals in the report point to four near-term priorities for organizations that want to lead rather than follow.
Scale agentic AI enterprise-wide. The window for pilots is closing. Organizations must move from fragmented use cases to full operating-model redesign, with agentic AI embedded in end-to-end workflows across functions.
Rebuild shared services as AI-native GBS centers. The question is no longer whether to transform but how fast. Leaders who delay risk structural disadvantage, as early movers achieve 20% cost-efficiency improvements and 40x increases in innovation access.
Reskill at speed and scale. Two-thirds of the skills organizations need within five years will be entirely different from those in demand today. Workforce planning must become a continuous, quarterly discipline rather than an annual review.
Double down on human-centric leadership. As AI handles more of the execution, the distinctly human dimensions of leadership (judgment, empathy, psychological safety, and purpose) become the primary drivers of organizational resilience and competitive advantage.
📊 Charts & Data of the Week
Golf Is the Real Water Waster
US golf courses used 1.63 million acre-feet of water in 2024. One acre-foot equals 325,851 gallons, totaling approximately 531 billion gallons. US data centers consumed an estimated 17 billion gallons of water directly for cooling in 2023. Both values use the most recent figures for direct water usage. So maybe all those data center protesters should also be prowling the links.
Exponential View (Paywalled) - Always Insightful!
It’s a Great Time to Be in the Physical AI Business If You Want to Raise Funds
Robotics venture capital accelerated in 2025, even as the broader VC market normalized:
The sector recorded roughly $27.6 billion in investment across 1,009 deals, with quarterly deal activity remaining relatively steady throughout the year.
Q4 generated $5.8 billion in funding invested across 249 deals.
Defense & industrial robotics continued to attract the most investor interest, underscoring demand for technologies tied to autonomy, manufacturing scale-up, and automation in real-world operating environments.
Meta’s Financial Performance Is Fantastic, But Investors Are Wary
Meta's average revenue per employee has jumped 85% over the past three years, thanks to sweeping employee cuts combined with AI-driven improvements in ads and content that boosted the top line.
Meta’s capital expenditures have ballooned since 2022, sparking investor concerns that excessive AI spending will eat into profits. In January, the company said it expects capex to soar by at least 60% this year compared with 2025, “driven by increased investment to support our Meta Superintelligence Labs efforts and core business.” Free cash flow, meanwhile, is expected to plunge 83% year over year.
Right now, investors are worried about out-of-control CapEx spending, which means those great revenue-per-employee numbers don’t matter. As a result, Meta’s stock price has suffered.
One Story to Read This Week: We Have Learned Nothing by Jerry Neumann
About the Author
Jerry Neumann is a retired venture investor, writer, and educator with deep roots in the startup world. He holds a BS and MS in Electrical Engineering from Columbia University and an MBA from NYU Stern. After engineering stints at IBM and consulting at Deloitte, he entered the internet era early, joining Prodigy Communications in 1995 and later running Omnicom’s VC arm, Communicade.
In 2008, he founded Neu Venture Capital, backing early-stage internet companies. Business Insider named him one of New York City’s top early-stage investors in 2012. He taught entrepreneurship at Columbia Engineering for 15 years and co-authored the book Founder vs. Investor with Elizabeth Zalman.
Neumann writes at Reaction Wheel (reactionwheel.net), one of the most analytically rigorous blogs on venture capital and innovation. This essay was published in Colossus, a quarterly print and digital magazine covering the frontier of business, investing, and technology.
Article Summary
Neumann opens with a sharp paradox:
“Any startup method that becomes widely known stops working.”
When every founder follows the same bestselling playbook, including Lean Startup, customer development, and the Business Model Canvas, everyone builds the same company. With no differentiation, most fail. The prescription for success, once universalized, becomes a recipe for mediocrity.
Before the wave of “New Punditry” began 25 years ago, startup advice was admittedly useless:
A naive mashup of Fortune 500 corporate strategy and small-business tactics.
Five-year plans and day-to-day blocking and tackling made no sense for high-growth startups operating in radical uncertainty.
The New Pundits, which included Steve Blank, Eric Ries, Alexander Osterwalder and others, offered something more compelling:
Blank’s customer development method taught founders to treat their idea as falsifiable hypotheses and get out of the building to test them.
Ries’ Lean Startup added the Build-Measure-Learn loop.
These pundits explicitly claimed to be building a science of entrepreneurship.
By 2012, Blank said the National Science Foundation called his framework “the scientific method for entrepreneurship.”
The problem: Startup failure rates have not changed:
Despite millions of books sold, university courses taught at 97% of schools surveyed (73% of which used Lean Startup specifically), and methods baked into accelerators worldwide, entrepreneurs are no more likely to succeed than before the New Punditry arrived.
Neumann illustrates this with data showing a flat failure rate across the entire period.
The reason, he argues, is structural:
Business is a Red Queen’s race: you must keep running just to stay in place, because your competitors adapt as fast as you do.
Any method that works, once widely adopted, loses its edge.
If everyone pivots to customer interviews, customers become interview fatigued.
If every startup launches an MVP, the MVP becomes a commodity signal.
The monoculture of startup methods produces convergence — and convergence produces failure.
Neumann closes by acknowledging that a true science of entrepreneurship cannot offer fixed recipes or universal truths. It can only make startups marginally more likely to succeed, provided it is honest about its own limits. The right response is epistemological humility:
When any method is hardened into orthodoxy, abandon it and try something different.
A genuine science of entrepreneurship, he concludes, must embrace the Red Queen dynamic so completely that it rejects any attempt to permanently systematize itself, including, eventually, the essay he wrote.
“We Have Learned Nothing,” Jerry Neumann, Colossus Magazine, March 2026
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