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Bernard Marr ✓

@BernardMarr · London · joined 25 Jan 2010

📖 Internationally Best-selling #Author 🎤 #KeynoteSpeaker 🤖 #Futurist 💻 #Business, #Tech & #Data Advisor #AI #AR #VR #BigData #Robotics #MachineLearning

137 111Followers
52 129Following
39 789Posts total
29.1KViews on collected posts

Latest posts

🤖 The smartest AI agents aren’t the ones that always have the answer. They’re the ones that know when they don’t. We often imagine autonomous AI as technology capable of handling everything by itself. But in the real world, knowing when to stop, ask for clarification or bring a 1.1K views · 3 likes · 5 reposts · 1 replies Open on X →
What if the biggest challenge in the AI race isn’t AI at all? Companies are investing heavily in models, agents and ambitious AI use cases. But for many organizations, the real barrier sits underneath all of this: legacy systems, technical debt, fragmented data and 1K views · 0 likes · 0 reposts · 2 replies Open on X →
How Siemens Is Bringing Generative AI To The Factory Floor #Siemens is bringing #GenerativeAI, #industrial #copilots and #digitaltwins directly onto the #factory floor, helping #manufacturers tackle #skills shortages, automate faster and improve productivity. From AI-generated 892 views · 0 likes · 0 reposts · 0 replies Open on X →
Why Infrastructure Modernization Is Becoming Critical To Enterprise AI Success https://t.co/t59GFbsJGb 1.4K views · 3 likes · 2 reposts · 2 replies Open on X →
Don't miss my latest #livestream at 12 noon today - "Why Infrastructure Modernization Is Becoming Critical To Enterprise AI Success" 📅 Date: Today, 3rd September 🕒 Time: 12:00 GMT, 07:00 EST, 04:00 PST, 17:30 IST LinkedIn > https://t.co/WgyRGfQuec Twitter > https://t.co/JkIQxjc 1K views · 1 likes · 0 reposts · 0 replies Open on X →
@BernardMarr this matches what i've seen building small stuff. telling it 'you're a skeptical editor, find holes in this' gets way better output than just asking it to review something 7 views · 0 likes · 0 reposts · 0 replies Open on X →
🎭 Stop prompting AI. Start casting it. Most people treat AI like a search box: ask a question, get an answer, move on. But what happens when you give AI a role instead? Think of yourself as the director. Give AI the right character, expertise, context and objective for the htt 1.4K views · 6 likes · 0 reposts · 1 replies Open on X →
The 5 AI Scaling Mistakes That Could Derail Your Business #Scaling #AI from pilot projects into production is where many companies discover that technical #success is only the beginning. Here are five costly #mistakes #businesses make when scaling AI, from runaway costs and 931 views · 0 likes · 0 reposts · 0 replies Open on X →
@BernardMarr @ellahafermalz Hello, we love to collaborate 21 views · 0 likes · 0 reposts · 0 replies Open on X →
@BernardMarr @ellahafermalz Could not agree more with the fast lane of agents. Deploy deploy. Like I do. 8 views · 0 likes · 0 reposts · 0 replies Open on X →
@BernardMarr @ellahafermalz I watched it on BBC World. It was great. 24 views · 1 likes · 0 reposts · 0 replies Open on X →
Was such an honor to appear on the BBC programme AI Decoded! The title of the episode is: What Jobs Will Al Leave Us? Hosted by Christian Fraser and Priya Lakhani OBE we were also joined by @EllaHaferMalz. It shows six times on BBC News and BBC World this weekend and you can ht 21.2K views · 17 likes · 4 reposts · 8 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.

Median views1 032this account5 983median for 100K–1M
Reach, %0.75%this account1.49%median for 100K–1M
Engagement, %0.15%this account0.93%median for 100K–1M
MetricThis accountMedian for 100K–1MRatio
Median views per post1 0325 9830.17×
Reach (views ÷ followers)0.75%1.49%0.50×
Engagement rate0.15%0.93%0.16×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

21.2K4 Apr
249 Apr
815 Apr
2127 May
9312 Sep
1.4K
7
1K3 Sep
1.4K
8924 Sep
1K
1.1K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.16%4 Apr
4.17%9 Apr
0.00%15 Apr
0.00%27 May
0.00%2 Sep
0.56%
0.00%
0.10%3 Sep
0.52%
0.00%4 Sep
0.19%
0.80%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.

What the audience does

Likes45.6%31 in total
Reposts16.2%11 in total
Replies20.6%14 in total
Quotes7.4%5 in total
Bookmarks10.3%7 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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