Marketing
Adrian’s Arena: How AI is Reshaping Industries and Shaping Our Future
An AI Revolution is transforming industries, enhancing healthcare, marketing, and sustainability while ensuring data privacy and creating new jobs.
Published
6 months agoon

TL/DR
- AI is solving complex problems like flood forecasting and accelerating drug discovery, with Google’s AI system saving lives in India.
- AI is transforming healthcare, with studies showing it outperforms humans in diagnosing breast cancer.
- In sales and marketing, AI recommendation engines drive significant revenue, such as 35% of Amazon’s sales.
I recently had the opportunity to participate on a panel with some of the brightest minds in AI and data science in Asia. Having worked in the tech and marketing world for over 25 years across multiple continents, I’ve seen firsthand how AI is transforming industries, both big and small. From healthcare to marketing, AI’s impact is growing rapidly. Here’s my take on what’s happening and some of what’s coming next.
AI: The New Industrial Revolution
We’re in the midst of what feels like a new industrial revolution, led by AI. It’s driving progress in efficiency, accuracy, and innovation. Two sectors where AI is making big moves are healthcare and sales & marketing.
In healthcare, AI is already outperforming humans in key areas. A recent study showed that AI could diagnose breast cancer from mammograms more accurately than radiologists. AI is also speeding up drug discovery, creating personalised treatments, and even guiding robotic surgeries. Another example is IBM’s Watson Health, which uses AI to assist doctors in developing personalised treatment plans for cancer patients. The next decade promises even bigger breakthroughs—could we see more diseases cured or even visit AI-powered doctors?
On the business side, AI is transforming sales and marketing.
Take Amazon, for example—their AI recommendation engine now drives 35% of all their sales, according to McKinsey.
That’s massive. Personalised recommendations are just the beginning; soon, companies may be selling only what people truly need, reducing waste and optimising resources. Another major example is Netflix, which uses AI to recommend shows and films to users, tailoring suggestions based on viewing history. This kind of personalisation is driving massive engagement.
Responsible Use of AI: Getting It Right
With all the excitement around AI, it’s critical to make sure we’re using it responsibly. At SQREEM, for instance, we focus on leveraging AI without relying on cookies or personally identifiable information (PII). Instead, we analyse behavioural trends to create high-value audiences, which brands can target across most digital marketing channels through their tech stack of choice (e.g. DV360, theTradedesk, etc).
This allows SQREEM to help deliver relevant insights and high performing media campaigns while still respecting privacy.
And it highlights an important balance: using AI’s power while ensuring data privacy and accountability.
With growing concerns over data misuse, companies need to be upfront about how they handle information and make sure AI is used in a way that benefits everyone.
AI is Solving Big Problems in Unexpected Ways
One of the most exciting things about AI is how it’s solving complex problems in ways we hadn’t imagined.
For example, Google’s AI-powered flood forecasting system in India provides real-time warnings to millions, saving lives and protecting property. It’s an impressive example of AI being used to tackle climate-related challenges.
In drug discovery, AI-driven platforms such as BenevolentAI and Insilico Medicine have accelerated the development of new treatments.
During the COVID-19 pandemic, AI was used to identify potential drugs in record time, shaving years off traditional development timelines.
AI is also being applied to solve broader, more complex challenges. In logistics, companies are using AI to optimise route planning, fleet management, and supply chain operations. Autonomous vehicles and drones are already transforming how goods are delivered, reducing delivery times and costs.
In manufacturing, AI-driven predictive maintenance can anticipate equipment failures, cutting downtime and costs by as much as 30-50%, according to McKinsey.
AI Boosting Data Privacy and Security
Data privacy and security are growing concerns, and AI is stepping in to help. By automatically identifying and managing sensitive data, AI can help companies comply with regulations like GDPR and CCPA. In terms of security, AI’s ability to detect unusual patterns in real-time is a game-changer. It catches breaches before they can cause serious damage, offering companies a proactive approach to safeguarding their data.
AI is also being used to detect and prevent fraud in sectors like banking. AI-powered systems can identify unusual spending patterns and flag fraudulent transactions almost instantly. This combination of speed and precision is becoming crucial in today’s data-heavy world.
How Start-ups Can Leverage AI to Compete
For start-ups and small businesses, AI is a fantastic opportunity. I always tell businesses to view AI as an enabler, not a threat. The best part?
You don’t need millions of pounds to get started. Cloud-based AI services from AWS, Google Cloud, or Microsoft Azure allow companies to access powerful AI tools without hefty upfront costs.
To start, focus on personalising your customer experiences and optimising operations. AI analytics can help you better understand customer behaviour and create targeted marketing campaigns. Another example is AI’s role in customer service, where AI chatbots are handling routine enquiries, freeing up staff to tackle more complex queries. And remember, education is key—there are plenty of online resources to help you learn the basics.
Don’t be afraid to experiment with new ideas and tools; it’s all about getting started and iterating.
Breaking Down the Barriers to AI Adoption
Even with all its promise, AI still faces hurdles. The biggest barriers? Lack of skilled talent, high costs, and concerns about data privacy and security. To overcome the talent gap, we need more educational initiatives and partnerships between businesses and academia. Upskilling teams is essential if companies want to harness AI’s potential.
When it comes to privacy and security, we need robust regulatory frameworks and a clear approach to AI’s use.
Being upfront about how AI is used will help build trust, which is key to encouraging wider adoption.
AI and Humans: A Winning Combo
AI isn’t here to replace humans—it’s here to work with us. AI takes care of repetitive, data-heavy tasks, allowing humans to focus on creative problem-solving. Take customer service: AI chatbots handle routine queries, freeing up human agents for more complex issues. In fields like finance, AI systems are already being used to manage portfolios and assist with investment decisions.
According to the World Economic Forum, AI will create 97 million new jobs by 2025, while displacing 85 million.
While disruption is inevitable, the net gain shows how AI can be a tool for growth—if companies adopt AI strategies and train their teams effectively.
AI for Sustainability and ESG Reporting
AI’s potential for driving sustainability is massive.
For example, Google’s DeepMind used AI to reduce energy consumption in their data centres by 40%.
In agriculture, AI-driven precision farming is helping farmers use water, fertilisers, and pesticides more efficiently, which is essential for sustainability. AI systems can analyse soil conditions, weather forecasts, and crop health data to maximise yields while reducing environmental impact.
In terms of Environmental, Social, and Governance (ESG) reporting, AI is a game-changer. By automating data collection and analysis, AI ensures accuracy and compliance while providing real-time insights into a company’s sustainability efforts. This makes it easier for companies to hit their ESG targets and satisfy investors and customers.
In conclusion, AI and data science are transforming the world at an unprecedented pace.
Whether it’s healthcare, business, or tackling global challenges like climate change, AI offers incredible opportunities. But as we integrate AI into our lives and businesses, we must ensure accountability and foresight.
The future is bright, and by working together—AI and humans—we can shape a more efficient, sustainable, and innovative world.
Comment and Share
How do you think AI will shape the future of your industry? Share your thoughts, and let’s discuss the potential and challenges of AI integration. And don’t forget to subscribe for updates on AI and data science developments and to comment below!
You may also like:
- Adrian’s Arena: East Meets West – Contrasting AI Partnership Strategies for OpenAI
- AI and Asian Gen Z is A Slang-Filled Digital Dialogue
- Navigating the Privacy and Security Risks of AI and AGI in the Workplace
- Powering the AI Revolution: The Data Centre Boom in Southeast Asia
- Or find out more about Adrian Watkins by tapping here.
Author
-
Adrian is an AI, marketing, and technology strategist based in Asia, with over 25 years of experience in the region. Originally from the UK, he has worked with some of the world’s largest tech companies and successfully built and sold several tech businesses. Currently, Adrian leads commercial strategy and negotiations at one of ASEAN’s largest AI companies. Driven by a passion to empower startups and small businesses, he dedicates his spare time to helping them boost performance and efficiency by embracing AI tools. His expertise spans growth and strategy, sales and marketing, go-to-market strategy, AI integration, startup mentoring, and investments. View all posts
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Business
Why are CMOs Still Holding Back on AI Marketing?
The New York Times embraces generative AI for headlines and summaries, sparking staff worries and a looming legal clash over AI’s role in modern journalism.
Published
4 weeks agoon
March 3, 2025By
AIinAsia
TL;DR – What You Need to Know in 30 Seconds
- Reluctant 27%: A significant chunk of CMOs have minimal or zero use of AI marketing, citing costs and ethical concerns.
- High Performers: Businesses that exceed profit goals are widely using generative AI for both creative work and strategy.
- Cautious Optimism: While some see major wins in campaign analytics, others struggle to find benefits in cost reduction and customer service.
- Risk of Lagging: Experts warn that slow adoption could leave traditional marketers scrambling to catch up in a rapidly evolving field.
Why Are CMOs Still Holding Back on Generative AI Marketing?
In a world where even your local bakery is dabbling with AI-driven marketing campaigns, it seems a little baffling that some Chief Marketing Officers (CMOs) are still on the fence about generative artificial intelligence (AI). The hype machine is running full tilt, with countless headlines promising a revolution in how we strategise and create marketing materials. And yet, according to Gartner’s latest research, 27% of CMOs report no or limited adoption of generative AI in their teams. What’s going on, and should these marketing chiefs be worried? Let’s explore.
The Reluctant Third
Let’s start with the eye-catching number that’s got tongues wagging across the marketing landscape: 27% of CMOs either aren’t using generative AI at all or are only dabbling on the periphery. Considering we’re several years into the generative AI hype wave, you’d think that figure would be lower. After all, we hear success stories about AI-generated ad campaigns or chatbots that transform customer service on a nearly daily basis. So why the reluctance?
One big reason often cited is the cost. While there are open-source options, enterprise-level tools (complete with robust support and advanced data security features) don’t come cheap. Then, there’s also the legal and ethical minefield: some executives worry about brand risk or data security concerns. If your marketing AI is scraping questionable sources for content, or if it accidentally pinches trademarked materials, the cost could be more than just monetary—it might damage your brand’s reputation.
High Performers Blaze the Trail
If you think generative AI is all hype, you might want to pay attention to the marketing teams who are actually succeeding with it. According to Gartner’s findings, 84% of high performers—businesses that exceed their annual profit growth and marketing goals—are leveraging generative AI for creative development, and 52% are putting it towards strategy development.
These stats matter because they highlight a gap between those who’ve embraced the AI revolution and those who are dragging their feet. High-performing organisations see “creative development” as the perfect playground for generative AI: from drafting copy to brainstorming design ideas, the tech is boosting the volume and diversity of creative work. Strategy development is also getting an AI-powered makeover, with marketers crunching campaign data in record time to find winning formulas.
As Gartner notes, CMOs who ignore the technology “are in a position of greater risk.” It’s not just about keeping up with the Joneses—it’s about leveraging a tool that can genuinely make marketing campaigns more efficient, more targeted, and possibly even more profitable.
Not Everyone Sees the Glitter of AI Marketing
Interestingly, the Gartner research also shows that generative AI’s benefits aren’t universally acknowledged. Over a quarter of CMOs surveyed reported little to no benefit in areas like cost reduction, customer service, and scalability. That’s a bit of a head-scratcher when many of us have been sold the dream that AI would turn marketing teams into lean, mean campaigning machines.
Part of the mismatch might come from inflated expectations. Some CMOs might have imagined generative AI swooping in like a marketing superhero, solving every challenge overnight. As a result, when the reality—training, experimenting, refining—sets in, disappointment can ensue.
Many believe GenAI will transform marketing, but despite the hype, many CMOs feel that their GenAI investments have yet to pay off.
It’s also worth noting that 6% of CMOs have no usage of generative AI at all, whereas 21% have only waded into the shallow end. Yet on the other side of the spectrum, around 15% see extremely broad use among their teams. That discrepancy screams caution from some corners and gung-ho enthusiasm from others.
Disruptors and Doubts
Remember those corporate AI solutions that come with hefty price tags? Well, the pace of AI evolution has accelerated massively, especially in Asia. Enter disruptive companies like China’s DeepSeek, which have introduced more affordable—or at least more flexible—versions of AI. They’ve changed the conversation around pricing, data security, and the potential of open-source models.
But not everyone is convinced. A survey by The Wall Street Journal found 21% of IT leaders aren’t currently using AI agents, with reliability being a major sticking point. While that might sound like a small number, keep in mind that these are the folks who sign off on the tech stack. If they harbour doubts, the marketing team’s AI ambitions could remain tethered to a cautionary anchor.
Where Are the Gains?
Despite the reluctance from some, 47% of those who have embraced generative AI are seeing a large benefit in tasks such as campaign evaluation and reporting. This indicates that when deployed properly, AI can absolutely streamline some parts of the marketing machine. Whether it’s quicker insight generation from data analytics or more accurate audience segmentation for targeted campaigns, the gains can’t be ignored.
So, if you find yourself in that 27% who are holding out, consider this: the competitive edge might be slipping away to those high performers who are pairing human creativity with AI efficiency.
Balancing Caution and Curiosity
Let’s be honest: any new technology comes with risks. Data security, ethical boundaries, and steep pricing are real concerns. The key might lie in adopting a balanced approach: start with smaller, safer implementations—like using AI for ad copy testing or initial design mock-ups—before rolling it out to high-stakes areas.
It’s a bit like learning to swim: you wouldn’t jump off the high dive if you’ve never been in the pool before, but you wouldn’t stand on the edge of the pool forever, either.
The Final Word: Ready to Jump In or Watch from the Sidelines?
So, is generative AI in marketing a passing fad or the future of the industry? The data suggests it’s much more than a flash in the pan. High performers are already capitalising on AI’s creative and strategic potential.
The question is: will the sceptics catch up before they’re left behind entirely?
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Marketing
AI Storms the 2025 Super Bowl: Post-Hype Breakdown of the Other Winners and Losers
Discover how AI dominated 2025 Super Bowl ads, from Gemini’s cheese slip-up to OpenAI’s pointillism debut, we assess them all here.
Published
1 month agoon
February 17, 2025By
AIinAsia
TL;DR – What You Need to Know in 30 Seconds
- AI Dominance: The 2025 Super Bowl was flooded with ads showcasing AI, indicating the tech is truly mainstream.
- Google Gemini: A heartfelt dad-and-daughter ad overshadowed an earlier mishap over questionable cheese consumption stats (50–60% for gouda?).
- Salesforce: Matthew McConaughey dashed through Heathrow, highlighting how an autonomous AI agent (Agentforce) could simplify travel chaos.
- Cirkul: Actor Adam Devine poked fun at AI errors by accidentally ordering 100,000 water bottles—then offered 100,000 free ones to viewers.
- OpenAI: Debuted a pointillism-themed Super Bowl ad emphasising innovative leaps and stoking mixed reactions about generative AI’s impact.
- Meta: Promoted Ray-Ban Meta smart glasses in an artsy spot featuring three “Chris” celebrities, a $6.2 million banana, and a gallery trip.
- GoDaddy: Showed off “Airo,” an AI tool for small businesses, starring Walton Goggins, implying you can “fake it till you make it” with AI designs.
- Beyond Tech Giants: Smaller companies like Ramp (supported by Eagles RB Saquon Barkley) also took out ads, proving AI is everywhere.
The Big Picture: Eagles, Ads, and AI Everywhere
Before we break down the ads—and there were plenty worth discussing—let’s set the stage. The Philadelphia Eagles soared to a decisive victory, dismantling the competition on the field (much to the dismay of the opposing team’s fans). Meanwhile, the commercials became a veritable parade of AI: from big-league tech giants to scrappy startups, everyone wanted to show off their shiny new chatbots, generative design tools, or smart glasses.
It wasn’t just the usual suspects like Google and Meta. We also had appearances from CRM titan Salesforce, AI-first marketing from OpenAI, a cheeky cameo from GoDaddy, and even a water bottle brand, Cirkul, poking fun at the occasional “hallucination” AI can produce. If there’s one takeaway, it’s that we’re in an era where AI is no longer just lurking in tech blogs or sci-fi flicks—it’s playing centre stage (or midfield, if you prefer). Now, let’s shuffle the order of these ads to keep things fresh, shall we?
1. Google: Cheese Fiascos and a Heart-Warming Dad Moment | ★★☆☆☆
What Happened:
- Google went sentimental with a father-daughter storyline to show off its Gemini AI. Think last-minute job interviews and sweet pep talks.
- The brand also caught flak for a separate cheese-shop-themed ad. Gemini stated gouda accounted for “50–60%” of global cheese consumption, which turned out to be, well… questionable. Google hastily fixed it, but the internet still had a field day calling it “cheesy AI.”
Industry Take:
- Ad experts found the emotional approach refreshing—less geeky, more real-life.
- The cheese fiasco sparked debate on the dangers of “AI hallucinations.” Jerry Dischler (Google’s cloud apps prez) defended it, saying it came from cheese.com, but folks remained sceptical.
Public Buzz:
- Plenty of “Aww!” reactions to the father-daughter tale.
- Social media teased the “gouda slip-up,” with tweets like “Cheddar’s not impressed.”
Overall:
- Sweet sentiment meets minor embarrassment—but hey, at least we all learned to double-check our cheese facts.
2. Salesforce: Matthew McConaughey Races Through Heathrow | ★★★☆☆
What Happened:
- Matthew McConaughey and Woody Harrelson comedic skits: Matt misses flights, gets soaked, basically endures a travel meltdown because he didn’t use “Agentforce,” Salesforce’s shiny new AI tool.
- Woody smugly coasts by with real-time updates from the AI.
Industry Take:
- Experts liked the “practical AI” angle—showing how it solves actual problems.
- Some found it a tad safe, lacking the pizzazz of other spots. Also, internal chatter about layoffs overshadowing big ad spend caused mild grumbling.
Public Buzz:
- Audiences enjoyed the “True Detective” duo. Many tweeted “Alright, alright, alright, that was kinda cute.”
- Not as viral as the night’s more outrageous ads, but still a respectable comedic performance.
Overall:
- A breezy, Hollywood-friendly way to show AI in everyday life—yet overshadowed by bigger controversies and bigger laughs elsewhere
3. Cirkul: 100,000 Free Water Bottles—and a Big AI Oops | ★★★★½
What Happened:
- Comedian Adam Devine tries to order one water bottle with an AI assistant but ends up with 100,000. Instead of calling it a “glitch,” Cirkul just gave 100,000 away for free—yes, really
Industry Take:
- AdWeek and TechCrunch gave it high marks for turning an AI facepalm into a playful promo.
- Folks loved the real-life activation—giving away freebies turned watchers into happy recipients.
Public Buzz:
- “Wait, are they seriously sending 100,000 bottles?!” soared across Twitter.
- Adam Devine’s panicked comedy vibe won hearts. People were thoroughly hydrated and entertained.
Overall:
- Hilarious scenario with a real giveaway to back it up. One of the game’s feel-good stunts.
4. OpenAI: From Rebrands to Black Dots and Divided Opinions | ★★★☆☆
What Happened:
- OpenAI’s first Super Bowl splash portrayed ChatGPT like the next great invention, complete with dot-by-dot animation referencing human milestones (lightbulb, moon landing, first email)
- Dubbed “The Intelligence Age,” it concluded with the black-and-white visuals morphing into the ChatGPT logo.
Industry Take:
- TechRadar loved the bold style, calling it a “standout moment”
- Some critics worried it felt too lofty or abstract—an epic vibe without a clear product demo.
Public Buzz:
- Mixed. Some folks got goosebumps (“Are we witnessing history?!”), others found it borderline cryptic
- Massive spike in people Googling “What is ChatGPT?” That’s a marketing win right there
5. Meta: Smart Glasses, Bananas, and the Chris Trifecta | ★★★★☆
What Happened:
- Chris Hemsworth, Chris Pratt, and Kris Jenner star in a swanky art gallery caper… except the gallery turns out to be Jenner’s house. Pratt uses the AI glasses to check the art (a banana taped to a wall—nice nod to overpriced modern “art”). Hemsworth devours said banana. Chaos ensues.
Industry Take:
- Campaign called it “celebrity power to the max,” praising the comedic premise.
- Critics said it’s a slick, star-studded way to showcase AR without scaring folks away with too much tech-speak.
Public Buzz:
- Everyone loved the “Chris trifecta.” Memes about Hemsworth literally eating “$6 million worth of banana.”
- Some teased that the storyline was random, but found it funny enough to Google “Ray-Ban Meta glasses.”
Overall:
- A comedic trifecta that made AR glasses look fun and user-friendly.
6. GoDaddy: “Airo,” Goggles, and the Magic of AI Pretence | ★★★★☆
What Happened:
- Walton Goggins plays a clueless entrepreneur hawking “Goggins’ Goggle Glasses,” only to reveal he’s faking it with GoDaddy’s AI tool, Airo.
- It’s basically “fake it till you make it,” courtesy of an AI doing your website, branding, and marketing.
Industry Take:
- Lauded as a clever, comedic twist on small biz struggles—just in 30 seconds.
- Some critics said it might be too “inside joke” if you don’t know Goggins, but overall effective.
Public Buzz:
- People asked, “Who is that hilarious guy??” (He’s been in Justified, Righteous Gemstones, etc.)
- Entrepreneurs found it relatable. Goggins messing up everything from a crime scene to a NASCAR was comedic gold.
Overall:
The Overall Buzz: Fintech, Football, and AI in Everything
Aside from these showstoppers, there were plenty more glimpses of AI scattered throughout the night. Several startups, like Ramp—a fintech company in which Eagles’ running back Saquon Barkley happens to be an investor—also grabbed ad slots. While not necessarily overshadowing the big players, these smaller spots collectively emphasised an important shift: AI is no longer a niche add-on or “special feature.” Instead, it’s woven into the fabric of nearly every tech product we use, whether that’s an email client that suggests replies or a chatbot that checks the weather for you.
It’s also telling that many of these ads had comedic undertones about AI’s potential to err. Whether it’s ordering way too many water bottles or spouting questionable cheese trivia, advertisers seemed eager to show that “yes, AI can be brilliant and even life-changing, but it’s also not perfect.” In a sense, that could be a clever psychological buffer—when users inevitably experience an AI “hiccup” in real life, they might just recall that cheerful commercial that made a joke out of the entire ordeal.
Why This Super Bowl Matters for AI
The 2025 Super Bowl might very well go down in history as the moment AI advertising turned mainstream. Sure, we’ve seen AI in marketing for ages, but rarely in such a brazen, front-and-centre fashion. The cost of a Super Bowl ad alone suggests the confidence these companies have in the technology’s mass appeal. And the variety of participants—OpenAI, Meta, Google, Salesforce, GoDaddy, Cirkul—demonstrates how AI touches virtually every sector, from enterprise software to consumer gadgets to… yes, even your water bottle.
Moreover, this was a chance for big brands to shape the narrative about AI. Whether it’s Google emphasising helpfulness with a father and daughter story, or OpenAI framing ChatGPT as the culmination of centuries of innovation, each brand wants to define why AI matters and how it should be perceived. It’s not just about brand awareness; it’s about public sentiment and trust, which are crucial for technologies that have the potential to radically reshape how we work and live.
The Hype vs. Reality: Are We Expecting Too Much?
One might argue that dropping millions on a 30-second spot for an AI product can create outsized expectations. After all, seeing Chris Hemsworth munching on a banana in Ray-Ban Meta glasses doesn’t necessarily translate into advanced machine learning that flawlessly enriches your daily life. But the Super Bowl has always been a stage for big visions, sensational illusions, and aspirational “could be” scenarios.
At the end of the day, these ads are teasers. They highlight the best of what’s possible, but they don’t always show the messy trials behind the scenes. For instance, Google had to re-edit an ad after the Gemini chatbot gave a suspect cheese stat. AI hallucinations are a genuine issue across the industry, and companies are still grappling with how to best mitigate them. So, yes, the hype is real, but the reality is that AI remains a work in progress (and probably always will be to some extent).
Looking Ahead: AI’s Next Steps After the Game
With all eyes on AI post-Super Bowl, the real question is how these tools will evolve in the coming months. Will Google’s Gemini refine its knowledge base to avoid future cheese fiascos? Will OpenAI’s rebrand continue to dazzle or fade into the background as new generative models surface? Will Meta’s Ray-Bans become a staple of museum-goers, or just another flashy gadget that ends up in a drawer?
The single biggest takeaway is that AI isn’t just for techies. It’s for parents helping their kids, travellers trying to rebook flights, small business owners launching new products, or even Hollywood actors messing around with custom goggles. And with the massive audience that the Super Bowl commands, you can bet the mainstream adoption of AI will only accelerate.
So keep your eyes peeled for more comedic AI slip-ups, more tear-jerking AI success stories, and more heated debates over data privacy, ethics, and job automation. Because if the 2025 Super Bowl taught us anything, it’s that AI is here to stay—and it’s ready to commandeer some of the most prime advertising real estate on the planet.
What do YOU think?
Are we celebrating AI’s mainstream moment too eagerly, risking a reality check once the shiny Super Bowl spotlight fades and the inevitable flaws of AI come back into focus? Let us know in the comments below.
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Marketing
10 Prompts to Write a Standout LinkedIn Post with ChatGPT
Want to stand out on LinkedIn? Use these 10 ChatGPT prompts to craft engaging posts that build your personal brand and spark conversations.
Published
2 months agoon
February 6, 2025By
AIinAsia
TL;DR
- AIAcademy.Asia: This series helps you master work skills with ChatGPT. In this article, we focus on creating impactful LinkedIn posts.
- ChatGPT can help you craft posts that celebrate milestones, share insights, and spark engagement.
- Includes 10 actionable prompts like “Share a career milestone,” “Celebrate team success,” and “Ask for opinions.”
- Use these prompts to build your personal brand, connect with your network, and stand out on LinkedIn.
Craft LinkedIn Posts That Shine with ChatGPT
LinkedIn is more than just a digital résumé—it’s a platform to share your voice, build your personal brand, and connect with like-minded professionals. But writing a LinkedIn post that stands out in a sea of content can feel daunting.
With ChatGPT, you can craft engaging, impactful LinkedIn posts that resonate with your audience. Whether you’re celebrating a career milestone, sharing an industry insight, or showcasing a project, these prompts will help you write posts that get noticed and spark conversations.
Quick Tips for LinkedIn Post Prompts
To make your LinkedIn posts shine, keep these tips in mind:
- Define Your Goal: Be clear about what you want to achieve—whether it’s engagement, visibility, or storytelling.
- Know Your Audience: Tailor your tone and content to the professionals in your network.
- Focus on Authenticity: LinkedIn posts perform best when they are personal, genuine, and relatable.
Top 10 Prompts to Write a Standout LinkedIn Post with ChatGPT
1. Share a Career Milestone
Prompt: “Write a celebratory LinkedIn post about my promotion to [new role]. Thank my mentors and highlight key lessons from the journey.”
- Why It Works: It combines personal achievement with gratitude, which resonates with audiences.
2. Showcase a Project
Prompt: “Draft a LinkedIn post highlighting the success of [project name]. Include the challenges faced, the solution implemented, and the impact achieved.”
- Why It Works: It demonstrates your expertise and storytelling skills.
3. Offer Industry Insights
Prompt: “Write an engaging LinkedIn post sharing my thoughts on [industry trend or event]. Keep it professional but conversational.”
- Why It Works: It positions you as a thought leader in your field.
4. Celebrate Team Success
Prompt: “Draft a LinkedIn post celebrating my team’s achievement on [specific accomplishment]. Highlight their hard work and collaboration.”
- Why It Works: It shows leadership and appreciation, which builds credibility.
5. Share Lessons Learned
Prompt: “Write a reflective LinkedIn post about a challenge I faced in [situation]. Share the lessons I learned and how they shaped my career.”
- Why It Works: It makes your post relatable and valuable to others.
6. Ask for Opinions
Prompt: “Draft a LinkedIn post asking my network’s opinion on [specific question or topic]. Encourage comments and discussion.”
- Why It Works: It boosts engagement by inviting your audience to share their thoughts.
7. Promote an Event or Webinar
Prompt: “Write a LinkedIn post promoting my upcoming webinar on [topic]. Include the date, time, and key takeaways for attendees.”
- Why It Works: It informs your audience and creates excitement around your event.
8. Celebrate a Professional Relationship
Prompt: “Write a LinkedIn post thanking a mentor or colleague who has significantly impacted my career. Share what I’ve learned from them.”
- Why It Works: It’s heartfelt and fosters stronger professional connections.
9. Share a Personal Story
Prompt: “Write a LinkedIn post sharing a personal story about [specific experience]. Tie it back to a career lesson or professional takeaway.”
- Why It Works: Stories make posts relatable and memorable.
10. Announce a Career Move
Prompt: “Draft a LinkedIn post announcing my transition to [new role/company]. Highlight why I’m excited and what I hope to achieve.”
- Why It Works: It keeps your network updated and builds excitement about your journey.
Elevate Your LinkedIn Game with ChatGPT
Your LinkedIn posts are an extension of your personal brand—make them count! Use these ChatGPT prompts to write posts that engage, inspire, and connect with your network. Experiment with tone, format, and storytelling to find what resonates most with your audience.
Have you tried these prompts or have a LinkedIn success story to share? Join the conversation in the comments below!
Useful Links:
- We’ve already explored the “Top 10 Prompts to Write Better Emails with ChatGPT“—tap here to read that now.
- Have a prompt of your own or a success story to share? Drop a comment below or connect with us on X/Twitter here. We’d love to hear how AIAcademy Asia is helping you level up. You can also sign up for our newsletter here.
- Try these prompts on the free version of ChatGPT by tapping here.
- Want to level up your AI skills in a more structured environment? Visit AIAcademey.asia to learn more.
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