McKinsey & Company
@McKinsey · Global · joined 21 Apr 2009
Since 1926, the trusted advisor to the world's leading businesses, governments, and institutions. 130+ offices in 65+ countries.
661 336Followers
1 138Following
49 160Posts total
202.9KViews on collected posts
Últimas publicaciones
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More AI use doesn’t automatically mean more revenue.
The strongest gains are showing up where AI is closest to customers, products, and technology, suggesting that choosing the right problems matters more than simply scaling adoption. https://t.co/IxC77d0sor https://t.co/YtPcsR
6.8K views · 36 likes
· 9 reposts · 4 replies
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The next wave of technology is moving off the screen and into the physical world— showing up in how we build, discover, move, work, and solve problems. Released today, our Technology Trends Outlook 2026 digs into the frontier tech defining the year ahead➡️https://t.co/6oVOBPRxF0
7.1K views · 71 likes
· 27 reposts · 8 replies
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Automating one customer interaction is relatively straightforward.
What matters next is how those decisions connect across the customer experience. Companies that get this right can move toward more connected and repeatable outcomes. https://t.co/1xwc1J9qiT https://t.co/LjMfVx
9.6K views · 80 likes
· 25 reposts · 5 replies
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📚 The ideas that shape leaders often start long before the boardroom.
Discover the books we return to for fresh perspectives on leadership, AI, resilience, history, and more. https://t.co/PE93qV39wh https://t.co/0nJk7M3Dqn
15.9K views · 127 likes
· 33 reposts · 2 replies
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0:07
AI can be widely available without being widely valuable. The difference is whether companies can turn access to the technology into changes in how work gets done—and measure whether those changes are creating value. https://t.co/8pl0UGjl8u https://t.co/yvdTUKWxTl
11K views · 117 likes
· 22 reposts · 12 replies
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Asia’s high-net-worth insurance market is becoming a major growth prize.
As HNW clients’ needs grow more complex, insurers need to move beyond products and build lifelong engagement. https://t.co/SXdi4vKHuR https://t.co/OQwvisHz0H
6.8K views · 19 likes
· 4 reposts · 3 replies
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The difference between an AI pilot and an AI capability is what happens after the first use case works. Shared platforms and guardrails can help public agencies scale what works without starting from scratch each time. https://t.co/LXAEdTysee https://t.co/EpavZNFW8O
13.2K views · 108 likes
· 23 reposts · 4 replies
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AI is quickly becoming table stakes. The bigger question is how organizations redesign work around it.
The companies making the most of AI are rethinking workflows, decisions, and roles end to end—not simply adding AI to the way work already gets done. https://t.co/iEP835ovdl ht
28.5K views · 363 likes
· 70 reposts · 8 replies
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The race to scale humanoid robots may come down to something less obvious: the supply chain.
Actuators and sensing systems are emerging as critical bottlenecks, making the right capacity and partnerships increasingly important as the market grows. https://t.co/IfUSUySsqq https:/
14.9K views · 166 likes
· 52 reposts · 11 replies
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Great leadership requires a tolerance for uncertainty.
In the latest Brilliant Moves: Coffee with CEOs episode, Lloyds Banking Group CEO Charlie Nunn shares how leaders keep learning, make decisions amid uncertainty, and choose where to be bold.
🎥: https://t.co/f8uZvmOgTH htt
7.3K views · 30 likes
· 10 reposts · 4 replies
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0:30
Time can be one of the most valuable assets in building wealth. Helping more families start saving early—and sustain those contributions—could make long-term wealth creation more attainable. https://t.co/O9XflD82IC https://t.co/BiOH3WDbNK
6.9K views · 45 likes
· 12 reposts · 2 replies
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In Asia-Pacific, colocation providers are becoming key control points for AI infrastructure.
By 2030, they’re expected to build 70%+ of regional data center capacity, as local complexity makes self-build harder for hyperscalers. https://t.co/MjhNHJATwZ https://t.co/CbI3FLn1Y0
5.6K views · 21 likes
· 9 reposts · 2 replies
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As AI improves how machines learn, reason, and adapt, robots are becoming capable of working in more complex, unpredictable environments.
That could reshape how work gets done. Explore where the opportunities are emerging and how leaders can prepare. https://t.co/Qty4Bobnnd http
6.6K views · 28 likes
· 11 reposts · 3 replies
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How do you keep startup speed and energy when you’re operating at legacy scale?
United Airlines CEO Scott Kirby and Managing Global Partner Bob Sternfels dig into what that looks like in practice. https://t.co/ZFRZHOifCi https://t.co/ZYtSxIxOA3
6.3K views · 16 likes
· 4 reposts · 1 replies
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It takes a team to bring a book to life. And, apparently, a few retakes.
Out next week, our new book, Shapers and Founders, uncovers the leadership strategies behind Asia’s highest-performing entrepreneur-led companies. https://t.co/FmZZGidPxr https://t.co/XHgd0I9siM
6.7K views · 18 likes
· 10 reposts · 2 replies
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@McKinsey The operating question is not simply whether a human is in or out of the loop. Leaders should define which decisions require human judgment, what evidence triggers escalation, and who owns correction when the system encounters an exception. Those boundaries belong in th
9 views · 0 likes
· 0 reposts · 0 replies
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AI transformation doesn’t move at the speed of the technology alone. It moves when people understand the change, see a future in it, and trust leaders to navigate the uncertainty. https://t.co/Cpoplb8lBd https://t.co/yzQ94VErxf
8.1K views · 66 likes
· 22 reposts · 8 replies
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@McKinsey Absolutely. Responsible AI adoption starts with clearly defining the boundaries of autonomy. In the public sector, keeping human judgment at the right points is essential for trust, accountability, and better outcomes.
11 views · 0 likes
· 0 reposts · 0 replies
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AI autonomy is a design decision, not just a technology decision. For public-sector agencies, the key is deciding early where AI can take the lead and where human judgment needs to stay in the loop—before those systems reach residents. https://t.co/amuoNV6SVZ https://t.co/RCTz7sh
12.6K views · 87 likes
· 26 reposts · 5 replies
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Growth opportunities don’t always show up in the topline numbers.
At Reckitt, AI is helping teams turn store-level data into specific actions—giving them a more precise way to see what’s working, respond to local conditions, and execute for growth. https://t.co/TByE9exLj7 https
6.5K views · 33 likes
· 11 reposts · 1 replies
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@McKinsey That's a great perspective and a significant opportunity for those who adapt to seize these chances.
31 views · 2 likes
· 0 reposts · 0 replies
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@McKinsey The finding worth reading twice: customers rank better product detail and pricing (14%, 12%) above faster delivery (8%). Distributors keep funding logistics speed when customers are naming a data problem: specs, pricing accuracy, range. Cheaper to fix than another wareh
7 views · 0 likes
· 0 reposts · 0 replies
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AI is powered by data, but transformation depends on people.
Building the right mindset, from continuous learning to experimentation, is what turns AI investment into lasting impact. https://t.co/jWskEIU03b https://t.co/rdnf4hxlDV
10.8K views · 35 likes
· 7 reposts · 4 replies
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AI is changing how distributors think about category management.
Instead of relying mostly on what happened in the past, teams can use real-time pricing, supplier, and customer signals to spot opportunities and act while they still matter. https://t.co/JMvPX970aS https://t.co/Qs
11.9K views · 49 likes
· 14 reposts · 5 replies
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Frente a cuentas del mismo tamaño
26 publicaciones de los últimos 90 días, junto al rango de 100K–1M seguidores. llega a menos gente que cuentas de su tamaño.
Visualizaciones medianas6 816esta cuenta5 983mediana de 100K–1M
Alcance, %1.03%esta cuenta1.49%mediana de 100K–1M
Interacción, %0.74%esta cuenta0.93%mediana de 100K–1M
| Métrica | Esta cuenta | Mediana de 100K–1M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 6 816 | 5 983 | 1.14× |
| Alcance (visualizaciones ÷ seguidores) | 1.03% | 1.49% | 0.69× |
| Tasa de interacción | 0.74% | 0.93% | 0.80× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
6.3K5 Sep
6.6K9 Sep
5.6K10 Sep
6.9K
7.3K
14.9K12 Sep
28.5K13 Sep
13.2K
6.8K14 Sep
11K
15.9K
9.6K
7.1K15 Sep
6.8K16 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.35%5 Sep
0.64%9 Sep
0.57%10 Sep
0.86%
0.60%
1.54%12 Sep
1.55%13 Sep
1.02%
0.38%14 Sep
1.39%
1.02%
1.16%
1.51%15 Sep
0.80%16 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes47.8%1 518 in total
Reposts12.6%401 in total
Replies3.0%94 in total
Quotes0.7%23 in total
Bookmarks35.9%1 140 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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