PlotSet

Co-Founder

Eeagli

Data Visualisation Consultant and Creator

Vontobel Asset Management

Associate Director - Editorial Manager

Unigestion

Worked on setting up a document automation system and wrote thought leadership pieces on private equity, hedge fund strategies and factor-based investing.

Senior Content Writer

Fidelity Worldwide Investments

Part of the thought leadership team at Fidelity. Responsible from producing white papers and ground-breaking research with investment management teams.

Senior Investment Writer

Gartmore

Sat on the fixed income desk next to the Head of Credit. Produced desk reports, serviced the needs of clients and sales, and handled press requirements.

Fixed Income Specialist

HSBC Global Asset Management

Part of a global five-person sales team that won USD 41.2 billion assets under management over the course four years from sovereign wealth funds and central banks.

Institutional Sales - Middle East, Sovereigns and Central Banks

Bestinvest

A one-year work placement where I brought in GBP 50 million in net new money from high net worth clients as a result of a successful project I ran.

Associate

Data Storyteller and Investment Writer, Founder of Eeagli (LinkedIn Top Voices 2022 - Finance)

I make data dance because when numbers come alive you can see the world for what it is.

I’m James Eagle, a data visualisation specialist, keynote speaker, and seasoned investment writer with two decades of experience in asset management and banking industries. I’ve developed unique techniques that transforming complex topics into clear, compelling stories.

What I Do:

→ Data Visualisation: I bring stories to life through visuals that cut through the noise, revealing truths you might miss that help you start conversations that matter.

→ Thought Leadership: My upcoming book, From Chaos to Clarity (launching July 10), explores how data visualisation could help save humanity from a world drowning in data.

→ Keynote Speaking: When step on stage I ignite the room, bringing data to life through my powerful animated visualisations.

→ AI Innovation: I'm building an AI language model that lets you upload and explore massive datasets, uncover the hidden stories beneath the numbers, and transform these discoveries into powerful visual narratives.

→ Social Media & Communication: I consult with companies of all sizes to help them tell better stories online, bridging the gap between complexity and clarity.

Why It Matters: Because data, when brought to life, has the power to shift perspectives, shape strategies, and ignite new ideas.

AI is starting to look like a closed loop of money.

Goldman Sachs Research have drawn the picture here really well. Their network map of AI partnerships is basically a wiring diagram for circular finance. 

On top of that, a lot of this hardware is being depreciated over 6 to 8 years even though the tech cycle runs on something closer to 2 or 3. Michael Burry has been shouting about this for months. The same names appear on almost every line. Chips, cloud, equity, services. All bouncing around a tiny club that is amplified by the dollar and America’s ability to pull in global capital.

This is not about fraud. It is about concentration and fragility. If the forecasts are wrong and AI infrastructure is overbuilt, whose revenue survives once the circular money slows down? And whose story quietly falls apart?

I will create any data visualisation idea you have on this story. I really want more clarity on these risks. I want to see them. Comment below please

Source: Editor Allison Nathan, Goldman Sachs Research, Top of Mind, "AI in a Bubble"

James Eagle

Co-founder of PlotSet | Turn complex data into beautiful, ready-to-share data visualizations. The best bit is no coding required.

This looks like another tech rout, but this chart tells a more interesting story. Returns over the past month are not moving in one direction, they are spreading out.

Some giants like Google and Amazon sit comfortably above zero with double digit gains. Others including Tesla Meta and Oracle are deep in the red. Dispersion is widening, even though every bubble in this chart is a company worth more than $5 billion.

That is what makes data visualisation useful. You can see in seconds that this is not a blanket rout but a market that is starting to separate winners from losers.

In a world of richer dispersion, would you rather own the broad tech index or a concentrated basket of names you believe can justify their valuations? The question is can any of them justify there valuations?

Bitcoin has wiped out its 2025 gains and broken below 100k. The move has been brutally fast, and that speed matters because it looks like panic selling rather than a calm reassessment. See the data visualisation below.

The driver sits in the AI trade. 

Reports suggest OpenAI lost around $8bn in the first half of 2025, with revenue running in the low tens of billions, and it has been marked at about a $500bn valuation in recent secondary deals. NVIDIA now makes up roughly 8% of the S&P 500 raising concerns of concentration risk. Palantir has traded at more than 500 times earnings. 

When large investors finally began to question these valuations, they raised cash by selling their highest risk position first. That was Bitcoin.

Why Bitcoin? Because the same hedge funds, family offices and macro traders who own the big AI names also hold bitcoin as their most speculative asset. When confidence in tech wobbles, they do not sell NVIDIA on day one. They cut Bitcoin to reduce risk. Bitcoin has therefore become the pressure valve for AI anxiety.

You can see the split in the data. Bitcoin is down about 28% in six weeks and roughly $1.2tn has been wiped off the wider crypto market. By contrast, the Nasdaq is only a little off its highs despite the well publicised sell off in tech in recent days.

If Bitcoin is now the first place institutional doubt shows up, what does that tell us about where tech valuations go next? How do you read this story?

Music: Hidden Enigma by Dream Cave, Epidemic Sounds

I am going to say something that will make people uncomfortable. The earnings being reported by large technology companies right now are not evidence of strength. They are evidence of a sector that has become so large, so interconnected, and so reliant on its own momentum that the numbers deserve far more scepticism than they get.

A lot of the revenue in tech is increasingly generated inside its own walls. OpenAI needs massive computing power, so it’s spending $300 billion with Oracle for cloud services. Oracle needs chips to provide those services, so it spends tens of billions with Nvidia. Nvidia then invests up to $100 billion back into OpenAI. Meanwhile, AMD provides OpenAI with GPUs in exchange for stock options worth 160 million shares. Each company is buying from and investing in the others, creating a closed loop where tech giants finance each other’s growth.

What do you think?

As the founder of Eeagli, I combine my passion for data visualisation and investment writing to create compelling and engaging content for the financial industry. I have over 15 years of experience in investment management, equities, and fixed income.

My mission is to transform complex data and insights into memorable stories that connect companies with their audience and communicate their brand story. I use javascript and other tools to design and develop interactive and customised data visualisations that showcase the expertise and thought leadership of my clients. I also write clear and concise content that covers various topics and strategies in the investment world. I work with a diverse range of clients, from asset managers and hedge funds to private banks, and I deliver high-quality and timely solutions that meet their needs and expectations.

https://killercharts.blog/subscribe I am going to say something that will make people uncomfortable. The earnings being reported by large technology c

The tech boom is starting to look suspicious

Byron Baldwin

This is a post from my personal branding coach Tima Elhajj. It's really worth reading because it mirrors my story. I usedto feel like I didn't have an identity in the companies I worked for. I was a cog in a machine. Invisible. That's why I started writing on LinkedIn back in 2016.

So this is what happened:

1. I started to connect with people in other companies, but in the same industry. If I didn't do that, I wouldn't have had the network to scale the business I have today.

2. I gained an outsider perspective, outside the company's walls. I never realised how much I didn't know by learning from others whom I would never normally have conversed with.

3. My self-esteem improved and sense of value as I now knew people on LinkedIn who valued my thoughts.

This was all before I started data visualisation and becoming a Top Voice. What I got from developing a personal brand was access to opportunities I would have never otherwise had. It was liberating. So please post and please show yourself here on LinkedIn.

Elevating Personal Brands with Elegance on LinkedIn across the UAE, Saudi Arabia, and the wider Arab region

Each week I’m seeing a pattern.

Executives who aren't job hunting. They're soul searching.

They have the title, the salary, the respect. 
But they're asking themselves: 
"What else is there?"

If anything they love their job. 
They respect their organisation and they care about the people they work with. 

They just understand something that most are too afraid to face.
There is more.
And they’re ready for it.

Ready to share the wisdom they've learned. 
Ready to influence beyond their organisation. 
Ready to build something that is bigger than them. 

One executive told me: 
"I've spent 20+ years doing this and I love it, but where to from here?"

Another said: 
"I love my job. But I also want to write the book I've been outlining in my head for a decade."

The common thread?
They're looking for expansion opportunities.

- Advisory roles that leverage their expertise. 
- Consulting that lets them choose their impact. 
- Books that capture their methodology. 
- Keynotes where they shape the next generation. 

The beautiful part? 
Building your brand makes you more valuable. 

- Your company benefits from your elevated thought leadership. 
- Your team gets inspired by your growth. 
- Your industry gains from your insights. 

And you? You get to [*** fill in the gaps ***]

And it doesn't require leaving what you love.
It requires expanding who you are.

❤️

How did you meet your partner?
Through friends? At school? At a bar?
Or did you swipe right on a stranger and end up building a life together?

When you look at the data over time, it is wild. And this dataset is based on a remarkable Stanford study on modern love: How Couples Meet and Stay Together by Michael J. Rosenfeld, Reuben J. Thomas and Sonia Hausen.

A few decades ago most couples met through friends, school, work or religious communities. In fact, back in 1930s, it was mostly through family. The lines for those ways of meeting are now disappearing. Just watch and see. Technology has disrupted our lives.

How did you meet your spouse?
Does this data visualisation make you feel grateful, uneasy, or a bit of both?

Music: Die Is Cast by First Timer, Epidemic Sounds

Long-dated global yields pushing back towards 4%, the highest level since 2009. It is not a quiet move. It is a signal. For the first time in years investors are beginning to doubt that the global rate-cut cycle has much life left in it.

The backdrop explains the shift. Traders are now pricing almost no further cuts from the ECB. Japan is expected to hike. Australia may deliver two more increases next year. Even in the US the Fed is preparing to cut this week yet long bonds are selling off as investors reassess inflation the government’s fiscal outlook and the politics around the next Fed Chair. 

Across developed markets the same story appears. Higher deficits more debt issuance and inflation stickiness are forcing investors to demand a higher risk premium for lending long term.

Look again at the chart and the implication is clear. The era when long bonds offered diversification and predictable yield compression is fading.
If long-term rates remain pinned near 4% what does that mean for equity valuations housing markets and governments already struggling with the cost of debt?

Music: SPICE (Instrumental Version) by Lu', Epidemic Sounds

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