Australia’s Top 10 Finance Influencers of 2026
The voices reshaping how Australians think about money — and why credibility matters more than reach.
6 min
The best financial advice many Australians are receiving right now is not coming from licensed advisers charging by the hour. It is coming through a phone screen, in the ten minutes between work and dinner, from creators who have built credibility the hard way: by being right, being transparent, and being specific in a space where vagueness has always been the easy default.
This is not a ranking by follower count. Follower count is a measure of distribution, not of quality. What follows is a ranking by substance — credentials, accuracy, community depth, and the quality of what an audience actually learns from following these accounts. The distinction matters, because the Australians acting on this content are making real financial decisions with real money.
1- Queenie Tan – Corporate Authorised Representative; Co-Founder & Director, Invest With Queenie & Billroo
There are finance influencers who talk about building wealth, and there are those who document it in real time with receipts. Queenie Tan belongs firmly in the second category. Starting from a $400-per-week income, Tan built her net worth past $1 million while publishing the actual numbers — income, savings rate, investment decisions — for an audience of more than 400,000 across platforms.
She is a Corporate Authorised Representative, co-founder of the personal finance app Billroo, and the author of a book that has become a practical reference for young Australians navigating ETFs, superannuation and property. What separates her from the crowded field of money educators is precision: she does not talk in principles when she can talk in percentages.
2- Alan Kohler – Editor-in-Chief, Eureka Report; Editor-in-Chief, InvestSMART Group; ABC News finance presenter, host of Inside Business.
If Queenie Tan represents the new wave of personal finance creators, Alan Kohler represents something the new wave will spend decades trying to build: institutional credibility that has survived multiple economic cycles. As Editor-in-Chief of the Eureka Report and InvestSMART Group, and a decades-long presence on ABC News, Kohler has spent more than thirty years making financial analysis accessible without dumbing it down.
His coverage of RBA decisions, market movements and economic policy is cited by podcasters, journalists and fund managers alike. He is not chasing virality. He does not need to.
3- Aleks Nikolic – Corporate lawyer; host, Big Swinging Stocks podcast
Most finance creators address the mechanics of money. Aleks Nikolic addresses the psychology — and that distinction explains why her following is as loyal as it is. Operating as Broke Girl Wealth across Instagram, TikTok and YouTube, Nikolic covers ETFs, crypto and investment strategy, but her real differentiator is a willingness to discuss the emotional architecture of financial decision-making.
Shame around debt. Fear around market volatility. The limiting beliefs that stop people acting on what they already know. In a space where confidence is routinely performed, her candour is a genuine competitive advantage.
4- Bryce Leske & Alec Renehan – Equity Mates Media
Equity Mates did not build a following. They built a media company. What began as a podcast by two friends learning to invest has grown into Australia’s most established investing media brand, covering ASX stocks, ETFs, global markets and fund manager interviews across podcast, social and YouTube.
The longevity is the credential. Equity Mates has operated through multiple market cycles, a global pandemic, and a generational shift in how Australians engage with investing — and its audience has grown through all of it. When the hosts speak, their listeners know they have been paying attention for years.
5- The Lazy CEO – CEO & Founder, Showpo; Shark Tank Australia investor
The metric that matters most on social media is not followers — it is engagement, because engagement signals trust. Jane Lu, known as The Lazy CEO, maintains an engagement rate of approximately 1.15 per cent on Instagram, which is exceptional for a finance account of his size. Her 242,000-plus followers are not passive consumers: they ask questions, share experiences and apply what they read.
Her content focuses on business finance and wealth building, and the active comment sections are the clearest possible evidence that her audience does not merely scroll past.
6- Tash Invests – Founder, Tash Lends; Forbes Australia 30 Under 30
Tash Invests built her following on a premise that sounds simple but is rarer in practice than it should be: she publishes the actual numbers. Not approximations or ranges or anonymised case studies — her salary, her savings rate, her portfolio value, her net worth, updated and on the record.
Having bought her first property at twenty-two and grown her documented net worth past $1 million, she has become the primary reference point for young Australians trying to understand what building wealth on a moderate income genuinely looks like. The specificity is the product.
7- David Scutt – APAC Market Analyst at StoneX Group
The authority of most finance social media content rests on research and reading. David Scutt‘s authority rests on having done the job. A former Treasury Dealer at Arab Bank and the Commonwealth Bank, former ASX Business Supervisor, and former Global Markets Editor at Business Insider Australia and anchor at ausbiz TV, Scutt now brings that direct market experience to his role as APAC Market Analyst at StoneX Group, rather than relying on secondary commentary.
When he discusses foreign exchange movements or ASX dynamics, it is not because he has read about them. It is because he has traded them.
8- Meddy Demars – Investing & crypto content creator
The gap Meddy Demars fills is specific and underserviced: connecting global macroeconomic events to the practical reality of Australian investors. When the US Federal Reserve adjusts interest rates, when inflation data moves, when commodity prices shift — most Australian finance content either ignores the local implications or translates them poorly.
Demars, operating across TikTok and Instagram from Sydney, does the translation well: explaining what global conditions mean for Australian stocks, savings rates and investment portfolios in terms that are accessible without being condescending.
9- Simran Kaur – Founder, Friends That Invest
Friends That Invest is arguably the most successful community-building exercise in Australian personal finance, and Simran Kaur is the reason why. The New Zealand-based creator — whose audience is predominantly Australian — built a podcast, a book and a social media presence around a single insight: that the personal finance world was not speaking to young women, and that the consequences of that gap were significant.
The measurable cultural shift that followed — women engaging with investing concepts in communities that had not previously existed — is the kind of impact that most financial literacy programmes aim for and rarely achieve.
10- Effie Zahos – Money Editor at 9News
Effie Zahos is one of Australia’s most recognised financial commentators, appearing regularly across 9News, A Current Affair, Today and Today Extra as 9News Money Editor. Her role puts everyday money questions, from mortgage rates to cost-of-living pressures, in front of a national broadcast audience.
Before television, she spent years as editor of Money magazine, building the editorial foundation for her current commentary. She is also Director and Money Commentator at InvestSMART, an ambassador for Canstar, and a published author, with her financial advice available in print as well as on screen.
That combination, decades of editorial experience, an active broadcast presence, and a body of published work, is what makes her commentary carry weight beyond any single platform or post.
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Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
Technology and semiconductor shares fell sharply as investors questioned the debt financing the AI infrastructure boom and confronted higher rates and Chinese competition.
4 minA sharp technology sell-off has exposed a new anxiety on global markets: whether the enormous borrowing behind the artificial-intelligence infrastructure boom can generate sufficient returns as interest rates rise and Chinese competition intensifies.
The artificial-intelligence investment boom has powered technology shares, semiconductor manufacturers and data-centre operators to extraordinary heights. Last week, investors were given a reminder that much of this expansion is being built with borrowed money.
The technology-heavy Nasdaq Composite fell 4.5 per cent over the week ended October 16, its weakest performance since late June. Semiconductor shares suffered an even deeper correction, with the Philadelphia Semiconductor Index losing about 11.4 per cent.
The selling spread quickly through global markets. Micron Technology fell 14.6 per cent over the week, while South Korea’s Samsung Electronics and SK Hynix dropped approximately 18 per cent and 24 per cent respectively.
This was more than a routine bout of profit-taking. Investors were reassessing three interconnected risks: higher interest rates, the rapidly expanding debt burden attached to AI infrastructure and the prospect of stronger competition from Chinese memory-chip manufacturers.
The debt behind the AI build-out
Artificial intelligence requires a physical infrastructure network of enormous scale. Data centres must be built, advanced processors purchased, power supplies secured and cooling systems installed before customers begin generating meaningful revenue from them.
Technology companies are increasingly supplementing their own cash with corporate bonds, syndicated loans, equipment leases, private credit and project-level financing.
JPMorgan describes the emerging funding model as a combination of conventional corporate borrowing and project finance tied to individual data-centre assets. In Australia, the Reserve Bank estimates that syndicated loans accounted for approximately three-quarters of data-centre financing during 2025 and 2026 to date.
The numbers are becoming large enough to affect broader credit markets. The Federal Reserve Bank of Dallas has cited Wall Street estimates suggesting AI-related investment-grade bond issuance could approach US$300 billion in 2026 alone.
That borrowing is not automatically problematic. Debt can be an efficient way to finance long-lived infrastructure when future revenue is sufficiently predictable. The concern is that AI technology, customer demand and computing economics are changing much faster than the repayment schedules attached to the assets.
A data centre financed today may carry debt for years. Investors must therefore make assumptions about future utilisation rates, electricity prices, chip performance, customer concentration and the amount businesses will ultimately pay for AI computing.
When interest rates rise, those assumptions become less forgiving.
Inflation changes the calculation
September’s US inflation data intensified the pressure. Consumer prices increased 3.7 per cent over the year, ahead of market expectations and up from 3.4 per cent in August.
The hotter reading reduced confidence that interest rates would fall quickly and pushed bond yields higher. That matters particularly for companies whose valuations depend on profits expected well into the future, as well as highly leveraged infrastructure operators that may need to refinance.
CoreWeave has emerged as a closely watched test case. The specialist cloud-computing company has accumulated substantial debt and lease obligations to build AI capacity, while relying on a concentrated group of large technology customers.
Its shares fell sharply during the sell-off, while the cost of insuring its debt against default climbed. CoreWeave has argued that its contracted backlog more than covers its obligations and that financial markets do not always understand its business model. Nevertheless, its securities have become a proxy for investor confidence in debt-funded AI infrastructure.
Oracle, another major investor in AI computing capacity, fell 8.8 per cent in Friday trading, while CoreWeave dropped 15.5 per cent.
The question is shifting from how much AI infrastructure can be built to how profitably it can be operated.
China adds another source of pressure
Interest rates were not the only catalyst. Reports of advances by Chinese memory-chip producer ChangXin Memory Technologies raised concerns that lower-cost Chinese products could increase competition across the global semiconductor industry.
Memory chips are essential to AI systems, but the industry is historically cyclical. Periods of tight supply and high pricing can encourage rapid investment, eventually producing oversupply and falling margins.
The prospect of a well-funded Chinese competitor expanding its technological capabilities unsettled investors in Samsung, SK Hynix and Micron. It also demonstrated that AI-related demand does not insulate chipmakers from conventional competitive pressures.
That combination—slower rate cuts, more expensive financing and potentially cheaper supply—challenged the assumption that every company exposed to AI would enjoy continually expanding margins.
A reset rather than the end of the boom
The sell-off does not establish that the AI boom is ending. Demand for computing power remains strong, the largest technology companies continue to generate formidable cash flows and many infrastructure projects are backed by long-term customer contracts.
What has changed is the market’s willingness to overlook the price and financing structure of that growth.
The most resilient companies are likely to be those able to fund investment from operating cash flow, secure long-duration customers and demonstrate that new capacity will earn returns comfortably above its financing costs.
More speculative operators may face greater scrutiny, particularly where debt is expensive, customers are concentrated or expected revenue depends on demand that has not yet materialised.
For Australian investors, the lesson extends beyond US technology shares. Local data-centre operators, infrastructure funds, electricity suppliers and property groups are increasingly exposed to the same investment cycle.
Artificial intelligence may remain one of the defining growth themes of the decade. But last week’s correction showed that enthusiasm for the technology does not eliminate financial discipline.
The next stage of the AI boom will be judged not only by computing power, model performance or demand for chips, but by something more traditional: whether the assets being financed can generate enough cash to repay the money borrowed to build them.
Fact box
Nasdaq Composite: Down 4.5 per cent for the week ended October 16, 2026
Philadelphia Semiconductor Index: Down approximately 11.4 per cent
Micron Technology: Down approximately 14.6 per cent
Samsung Electronics: Down approximately 18 per cent
SK Hynix: Down approximately 24 per cent
US September inflation: 3.7 per cent annually
Estimated 2026 AI-related investment-grade issuance: Approximately US$300 billion
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