Bernard Marr's LinkedIn Strategy, 📖…

Enterprise AI Meets The Digital Labour Economy: My Highlights From Workday Rising EMEA I’ve just shared my latest deep dive into the major announcements and conversations shaping the future of enter…

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Enterprise AI9 months ago

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The 6 Defining Manufacturing Trends Of 2026 #Manufacturing transforms from Industry 4.0 fascination to practical human-machine collaboration in 2026, with #AIagents autonomously managing factory ope…

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AI in Manufacturing9 months ago

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When the CEO of a major freelance platform tells his own employees that AI is coming for their jobs, including his, you know we're at a real inflection point. 🚨 I'm joined by Micha Kaufman, co-foun…

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AI and Future of Work9 months ago

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The real challenge in AI is not smarter machines, it is braver and more empowered people In my recent conversation with Timo Elliott, Innovation Evangelist at SAP, he made a powerful point, “The bigg…

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AI Leadership9 months ago

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85% of organizations believe responsible AI is a top management issue. Yet only 25% have governance mechanisms in place to address it. This trust gap is costing companies dearly. In Europe alone, 68%…

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AI Governance & Regulation9 months ago

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Imagine having a data center full of subject matter experts working for you 24/7. That's agentic AI. While generative AI has been transformative, agentic AI represents the next frontier: systems that…

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AI9 months ago

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Topics & Content Focus

Primary Topics

AI-driven business transformation and strategy for large enterprisesFuture of work and leadership capabilities in the AI and agentic eraSector-specific future trend forecasting (e.g., manufacturing 2026, banking, knowledge work)Human-centered AI adoption, employee experience, and change managementAI-augmented tools and platforms for content creation and productivity

Secondary Themes

AI agents reshaping customer behavior and brand loyaltyEnterprise employee experience platforms and digital assistants (e.g., Workday ecosystems)Industry 4.0 to Industry 5.0 evolution with a focus on human-machine collaborationEthical decision-making, lifelong learning, and future-ready leadership skillsSustainability, smart materials, intelligent supply chains, and extended reality in operations

Industry Focus

Enterprise digital transformation in legacy and regulated industries (e.g., banking, manufacturing)B2B technology platforms and SaaS ecosystems (HRIS, productivity and writing tools)Executive and senior-leadership audiences responsible for AI and future-of-work strategyAI-driven customer and colleague experience design in large organizations

Content Categories

Executive trend forecasting and ‘future of X by year Y’ analysesThought leadership explainers linking high-level narratives to practical implicationsCase studies and sponsored partner stories showcasing real-world AI transformationLeadership and skills development in response to AI and automationTool and platform spotlights highlighting emerging AI-powered products

Performance Insights

47.5%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Concrete, numbered industry trend roundups tied to a near-future year (e.g., manufacturing in 2026)Detailed, human-centered AI transformation case studies in large enterprisesFuture-of-work narratives that frame AI as a positive shift toward more meaningful work

Virality Signals

Posts that combine a specific year, a defined industry, and a small set of 'key trends' or 'skills' outperform more generic AI commentaryNarratives that explicitly emphasize human-centered outcomes (time back, meaningful work, workforce development) drive richer comment threadsFeaturing recognizable enterprise brands and events (e.g., NatWest, Workday Rising) increases both credibility and conversational engagementComplex, multi-faceted posts that connect AI, operations, sustainability, and workforce themes trigger more thoughtful responses than single-issue updates

Structure & Quality

120

Avg Length (Words)

MEDIUM

Depth Level

ADVANCED

Expertise Level

7/10

Uniqueness Score

Common Hooks

Provocative, consequence-focused statements about AI reshaping a domain (e.g., killing brand loyalty, challenging incumbents)Future-dated predictions anchored to specific years (e.g., 2026) and rolesNumbered promise hooks (e.g., '10 Critical Skills', '6 Defining Trends') aimed at executivesEvent or context-based hooks that foreground authority and access (e.g., 'At #WDAYRisingEMEA in Barcelona, I spoke with…')

Common Endings

External article link prefaced with a simple directive (e.g., 'Read more 👉 [link]')Concise evaluative summary sentence (e.g., 'A strong example of human-centred transformation.')Dense hashtag block capturing topic, industry, and personal brand tags

Value Delivery Methods

Condenses complex technological shifts into executive-friendly overviews that point to deeper resourcesConnects abstract AI concepts (agents, generative design, digital assistants) to tangible business and workforce outcomesProvides cross-industry foresight, allowing leaders to benchmark their sector against broader transformation patternsFrames AI as both a strategic risk (e.g., brand loyalty disruption) and an opportunity, offering balanced, decision-relevant context

Formatting Style

Short, separated paragraphs with frequent line breaks for scannabilityHeadline-style first line followed by an explanatory bodyUse of inline and block hashtags to index topics and partnersMix of narrative prose with occasional bullet-like sentence fragments for emphasis

Audience & Tone

Question Usage

0.5%

Response Rate

Detected Tone

Futurist enterprise advisorAnalytical yet optimisticStructured, research-backed commentatorHuman-centered technology strategistsemi-formalthird-person

Interaction Style

Primarily broadcast-style thought leadership with moderate, topic-driven comment interactionEngagement concentrated around posts that touch on people impacts, change management, and practical AI deploymentRelies on authority, events, and partner brands to stimulate discussion rather than direct audience prompts

Community Building Signals

Leverages event hashtags and partner tags (#WorkdayRising, #WorkdayPartner, enterprise brands) to tap into existing professional communitiesPositions the creator as a central interpreter of AI trends for executives rather than as a peer in a small creator-led communityUses consistent personal branding (#BernardMarr) to reinforce thought-leader identity across disparate topics

Writing Style Patterns

Content Strategy

Hook: Provocative, consequence-focused statements about AI reshapiTone: semi-formalCTA: Click-through calls to read full long-form content

Writing style breakdown

Core characteristics

Overall tone: professional, informative, forward-looking, and mildly promotional. It is not chatty in a casual sense, but it is accessible and friendly.

- Style sits between formal and conversational

Vocabulary and structure are professional and polished.

Direct address and simple phrasing keep it approachable.

- Strongly oriented around

Future trends (2026, quantum era, future of work, future of writing).

Technology impact (AI, agentic AI, quantum, digital assistants).

Business value and strategic implications (leadership, brand strategy, manufacturing, e-commerce, customer experience).

Voice

Confident expert voice: presents information as authoritative but not arrogant.

- Often uses declarative, matter-of-fact statements like

The AI era demands more than traditional leadership.

The quantum era is approaching faster than most realize.

Energy level: medium to medium-high.

Posts feel urgent and timely but not frantic.

Uses future-oriented, impact-heavy wording: "reshaping", "transforming", "defining", "rewriting", "revolution", "approaching faster than most realize".

Emotional tone and energy

Tone is optimistic but realistic.

Acknowledges disruption ("AI is coming for their jobs") but frames it as a strategic opportunity or necessary discussion.

- Energy is controlled

Uses some emojis and urgency markers (e.g., "🚨") sparingly to heighten impact.

Avoids exaggerated hype words like "insane" or "mind-blowing"; prefers "critical", "defining", "interesting", "impressive".

- Recurrent motifs

Future of X" (work, writing, e-commerce, manufacturing).

Trends that will transform", "skills every leader must master", "rewriting the rules".

The idea of "next frontier", "era", "revolution", "inflection point".

- Common devices

Short, punchy opening statement or headline.

Compression of complex ideas into clear, concise summaries.

- Occasional rhetorical openings

Imagine having a data center full of subject matter experts working for you 24/7.

When the CEO of a major freelance platform tells his own employees that AI is coming for their jobs, including his, you know we're at a real inflection point.

- Minimal explicit metaphor; when metaphor appears, it is concrete and illustrative

steam engine on a carriage" problem (metaphor for misusing new tech with old models).

data center full of subject matter experts" (for agentic AI).

- Frequent second-person plural/singular "you" when prompting reflection

Where does your organization stand on quantum preparedness?

Implied "you" in "determine how you’ll stay relevant..."

- First person singular "I" primarily in event- or interview-related posts

At #WDAYRisingEMEA in Barcelona, I spoke with the NatWest Group team...

I'm joined by Micha Kaufman...

Third person for companies and concepts (NatWest, Nokia, TextJam, AI agents).

- Prefers direct commands framed as invitations

Discover what this means...

Read more 👉

Find out more...

Very little hedging. Statements are decisive rather than tentative.

- Commands are soft but clear

Read more 👉 [link]

Find out more...

- Questions are used as prompts to think rather than as open conversations

Where does your organization stand on quantum preparedness?

Rare explicit advice phrased like "You should"; guidance is more implied than prescriptive.

Bernard Marr

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy

Core characteristics

- Style sits between formal and conversational

- Strongly oriented around

Voice

- Often uses declarative, matter-of-fact statements like

Emotional tone and energy

- Energy is controlled

- Recurrent motifs

- Common devices

- Occasional rhetorical openings

- Minimal explicit metaphor; when metaphor appears, it is concrete and illustrative

- Frequent second-person plural/singular "you" when prompting reflection

- First person singular "I" primarily in event- or interview-related posts

- Prefers direct commands framed as invitations

- Commands are soft but clear

- Questions are used as prompts to think rather than as open conversations

Apply Bernard Marr's patterns to your posts

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