The panel on “AI and Marketing in Fintech” concluded that only strong brands and human judgement can keep firms visible in an AI-mediated landscape.
Organic traffic has already fallen by 30–50% for many fintech publishers as AI gateways intercept user journeys.
At FMLS 2025 industry panel on “AI and Marketing in Fintech”, senior marketers from Investing Live, Innovate Finance, ADSS and X delivered a blunt message: artificial intelligence is rewriting the rules of acquisition in finance – and many firms are not ready.
The End of the Google Era?
For more than two decades, digital marketing in finance has been built around Google – organic search at the top of the funnel and paid search further down. That model is now under pressure.
“For 20-plus years, the world of marketing was used to the very successful Google model,” said Itai Levitan, Head of Strategy at Investing Live. “Google was the 900lb gorilla. And we can start seeing a possibility that in the future that will be almost completely gone. ”
He noted that AI gateways like Gemini or ChatGPT changed the journey and many publishers had already seen organic traffic fall 30–50% as AI overlays intercept queries.
Jo Benton, the former ADSS executive, argued that the shift is exposing broader weaknesses:
“Performance masked weak brands for years. AI is just exposing it faster.”
Platforms are witnessing the same behavioural pivot. Federico Paderni, Managing Director for Growth Markets in Europe at X, said users now discover information differently from the search-led habits of the past decade.
“AI surfaces answers before they reach the source — discovery has moved up the stack,” he noted.
For content sites and even brokers, this raises a blunt strategic question: if users can get what they need from an AI interface, “what is the reason for them to come to me?”
From left: Yam Yehoshua, Jo Benton, Roberto Napolitano, Tony Cross, Federico Paderni
Infinite Content, Finite Trust
If discovery is changing, so is the content itself. AI has made it trivial to generate copy at scale – and that, several speakers warned, is creating a new kind of risk.
“We’ve now got the ability to create almost infinite content at close to zero cost,” said Tony Cross, Director at Monk Communications. “If we’re not careful about this, there’s going to be so much rubbish out there, people aren’t going to be able to find the truth in the noise.”
Levitan cited another cautionary tale: a site called AI Invest, which he said had grown rapidly on Google thanks to fully AI-generated content. “They dominated so much placement there, it was crazy,” he said. “And then Google did the spam update, and now their traffic is zero.”
Platforms, too, are struggling to maintain signal over noise. Federico Paderni, Managing Director for Growth Markets in Europe at X, noted that Grok now scans more than 100 million posts and videos per day to distinguish relevance from clutter.
Governance, Education and Uneven AI Adoption
The panel’s enthusiasm for AI was tempered by repeated calls for governance and internal education.
“There are some really strong commercial use cases,” Benton said, pointing to scaling production, automating optimisation and testing campaigns against synthetic audiences. “But what [AI] can’t replace and shouldn’t replace is that strategic thinking and judgement. That framework and governance around it is really, really important.”
Gross warned that organisations often adopt AI for the wrong reasons. “Someone senior hears ‘we can do more for less’ and pushes for automation without thinking about the quality implications,” he said. “And that’s how bad content slips out the door.”
Beyond Clicks: Reputation, Partnerships and Payback
Asked what marketers should measure “beyond clicks”, Roberto Napolitano, CMO at Innovate Finance, argued that traditional performance metrics are no longer sufficient.
“For us, KPIs are, first, reputation,” he said. “We know reputation is very hard to build but very easy to kill. It’s not just how many clicks you get, how many impressions you get, but what the sentiment in the market is about your organisation or your product.”
The second pillar, he added, is strategic partnerships. “Fintechs are partnering with other fintechs; they’re partnering with banks,” he said. “We need to be better at measuring the impact and the return on investment on partnerships.”
Other speakers agreed that narrow metrics no longer capture true performance. Benton noted that rigid CPA targets can limit growth. “Some of the most important channels in the funnel are the hardest to measure,” she said. “If you only reward last-click conversion, you underinvest in the activity that creates demand in the first place.”
Platforms are experiencing the same shift. Paderni said advertisers on X are moving away from pure CPA and towards longer-horizon metrics: “More partners are now looking at lifetime value and brand lift. They want to know how activity influences the whole journey, not just the final click.”
Measuring those effects remains difficult, particularly given the long time horizons and reputational risks if a partner runs into trouble. But Napolitano believes AI will eventually help firms quantify partnership value more precisely.
FMLS:25
Affiliates, Ambassadors and Broken Attribution
AI is also complicating longstanding acquisition models, not least in affiliates.
He predicted more publishers and comparison sites would favour hybrid or fixed-fee arrangements, while brands that cling to last-click, CPA-only models will “create a void” that better-funded competitors can fill.
Paderni, by contrast, highlighted X’s “affiliate programmes” as a way to turn customers into brand ambassadors rather than simple lead sources. Companies can assign badges to clients or employees, making their posts visibly associated with the brand. He cited eToro’s use of badges for “popular investors” as an example of “branding the content of their own clients to increase visibility and message”.
The broader point, echoed by several speakers, was that marketers should think less about buying clicks and more about mobilising their customer base as advocates – with or without financial incentives.
Looking Ahead: New Marketing Environment
For marketers, the immediate challenge is balancing AI’s advantages with its risks: discovery bottlenecks, content dilution and trust erosion.
AI may accelerate workflows and reshape acquisition paths, but it cannot replace the human judgement that underpins financial decision-making. The panel returned repeatedly to that tension.
“We’ve lost sight that we’re actually selling to human beings,” Benton reflected — a reminder that trust, clarity and authenticity still determine whether a customer engages or walks away. Firms that rebuild around those principles will remain visible in an AI-driven ecosystem; those that don’t may simply disappear from it.
At FMLS 2025 industry panel on “AI and Marketing in Fintech”, senior marketers from Investing Live, Innovate Finance, ADSS and X delivered a blunt message: artificial intelligence is rewriting the rules of acquisition in finance – and many firms are not ready.
The End of the Google Era?
For more than two decades, digital marketing in finance has been built around Google – organic search at the top of the funnel and paid search further down. That model is now under pressure.
“For 20-plus years, the world of marketing was used to the very successful Google model,” said Itai Levitan, Head of Strategy at Investing Live. “Google was the 900lb gorilla. And we can start seeing a possibility that in the future that will be almost completely gone. ”
He noted that AI gateways like Gemini or ChatGPT changed the journey and many publishers had already seen organic traffic fall 30–50% as AI overlays intercept queries.
Jo Benton, the former ADSS executive, argued that the shift is exposing broader weaknesses:
“Performance masked weak brands for years. AI is just exposing it faster.”
Platforms are witnessing the same behavioural pivot. Federico Paderni, Managing Director for Growth Markets in Europe at X, said users now discover information differently from the search-led habits of the past decade.
“AI surfaces answers before they reach the source — discovery has moved up the stack,” he noted.
For content sites and even brokers, this raises a blunt strategic question: if users can get what they need from an AI interface, “what is the reason for them to come to me?”
From left: Yam Yehoshua, Jo Benton, Roberto Napolitano, Tony Cross, Federico Paderni
Infinite Content, Finite Trust
If discovery is changing, so is the content itself. AI has made it trivial to generate copy at scale – and that, several speakers warned, is creating a new kind of risk.
“We’ve now got the ability to create almost infinite content at close to zero cost,” said Tony Cross, Director at Monk Communications. “If we’re not careful about this, there’s going to be so much rubbish out there, people aren’t going to be able to find the truth in the noise.”
Levitan cited another cautionary tale: a site called AI Invest, which he said had grown rapidly on Google thanks to fully AI-generated content. “They dominated so much placement there, it was crazy,” he said. “And then Google did the spam update, and now their traffic is zero.”
Platforms, too, are struggling to maintain signal over noise. Federico Paderni, Managing Director for Growth Markets in Europe at X, noted that Grok now scans more than 100 million posts and videos per day to distinguish relevance from clutter.
Governance, Education and Uneven AI Adoption
The panel’s enthusiasm for AI was tempered by repeated calls for governance and internal education.
“There are some really strong commercial use cases,” Benton said, pointing to scaling production, automating optimisation and testing campaigns against synthetic audiences. “But what [AI] can’t replace and shouldn’t replace is that strategic thinking and judgement. That framework and governance around it is really, really important.”
Gross warned that organisations often adopt AI for the wrong reasons. “Someone senior hears ‘we can do more for less’ and pushes for automation without thinking about the quality implications,” he said. “And that’s how bad content slips out the door.”
Beyond Clicks: Reputation, Partnerships and Payback
Asked what marketers should measure “beyond clicks”, Roberto Napolitano, CMO at Innovate Finance, argued that traditional performance metrics are no longer sufficient.
“For us, KPIs are, first, reputation,” he said. “We know reputation is very hard to build but very easy to kill. It’s not just how many clicks you get, how many impressions you get, but what the sentiment in the market is about your organisation or your product.”
The second pillar, he added, is strategic partnerships. “Fintechs are partnering with other fintechs; they’re partnering with banks,” he said. “We need to be better at measuring the impact and the return on investment on partnerships.”
Other speakers agreed that narrow metrics no longer capture true performance. Benton noted that rigid CPA targets can limit growth. “Some of the most important channels in the funnel are the hardest to measure,” she said. “If you only reward last-click conversion, you underinvest in the activity that creates demand in the first place.”
Platforms are experiencing the same shift. Paderni said advertisers on X are moving away from pure CPA and towards longer-horizon metrics: “More partners are now looking at lifetime value and brand lift. They want to know how activity influences the whole journey, not just the final click.”
Measuring those effects remains difficult, particularly given the long time horizons and reputational risks if a partner runs into trouble. But Napolitano believes AI will eventually help firms quantify partnership value more precisely.
FMLS:25
Affiliates, Ambassadors and Broken Attribution
AI is also complicating longstanding acquisition models, not least in affiliates.
He predicted more publishers and comparison sites would favour hybrid or fixed-fee arrangements, while brands that cling to last-click, CPA-only models will “create a void” that better-funded competitors can fill.
Paderni, by contrast, highlighted X’s “affiliate programmes” as a way to turn customers into brand ambassadors rather than simple lead sources. Companies can assign badges to clients or employees, making their posts visibly associated with the brand. He cited eToro’s use of badges for “popular investors” as an example of “branding the content of their own clients to increase visibility and message”.
The broader point, echoed by several speakers, was that marketers should think less about buying clicks and more about mobilising their customer base as advocates – with or without financial incentives.
Looking Ahead: New Marketing Environment
For marketers, the immediate challenge is balancing AI’s advantages with its risks: discovery bottlenecks, content dilution and trust erosion.
AI may accelerate workflows and reshape acquisition paths, but it cannot replace the human judgement that underpins financial decision-making. The panel returned repeatedly to that tension.
“We’ve lost sight that we’re actually selling to human beings,” Benton reflected — a reminder that trust, clarity and authenticity still determine whether a customer engages or walks away. Firms that rebuild around those principles will remain visible in an AI-driven ecosystem; those that don’t may simply disappear from it.
Tanya Chepkova is a News Editor at Finance Magnates with more than 16 years of experience in financial journalism, covering forex, crypto, and digital asset markets. Her work spans daily industry reporting and data-driven, long-form explainers focused on market structure, trading models, and regulatory shifts.
Before joining Finance Magnates, she led the editorial team of a cryptocurrency-focused media outlet for six years. Her reporting combines analytical depth with clear storytelling, with particular attention to how structural changes in trading, stablecoin infrastructure, and emerging products such as prediction markets reshape the broader financial ecosystem. She covers global developments and provides additional insight into CIS markets.
Areas of Coverage:
Crypto and digital asset markets
Prediction markets
Stablecoins and cross-border payments
Industry analysis and long-form explainers
OpenPayd to Go Public via $276M SPAC Deal, Targets Nasdaq Listing
Featured Videos
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
FM Daily Brief – 9 June 2026
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
Today’s Tuesday, the 9th of June 2026, and these are our main stories: eToro’s customer assets climbed back above $20 billion, Prop trading model in prediction markets, and Leverate launched a new AI assistant for brokers and traders.
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
War Stories: Lessons from 20 Years in Markets (the pain, the pitfalls and the profits)
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The trades that taught me the most aren't the ones that worked. They're the ones that didn't — or the ones I almost caught and didn't have the nerve to ride. In this session, I'll tell you about the Brexit miss, the SNB shocker that nearly handed me a 5400% return, the BoJ surprise that punched me in the gut, and a few wins along the way. Each story carries a lesson, but the lessons aren't the point. Everyone who trades long enough collects a portfolio of moments like these; what separates the people who stay in the game is what they do with them.
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
The Engine and the Fuel: How AI & Data Drives African Future
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
If AI is the engine, data is the fuel. Without quality, accessible data, AI cannot work well; and without the right mindset, data remains just numbers instead of insight. In this session, leading experts will explore how AI and data are democratizing opportunities for businesses and personal growth. Discover practical ways to make AI accessible today, anticipate its transformative impact on African markets, and learn actionable steps to prepare for what's next. Let's talk about:
-How AI and data drive business efficiency and innovation in trading and fintech
-AI tools to elevate trading or business strategies
-How to access and maximise the power of data and AI
-Emerging AI and data trends in Africa and their economic ripple effects
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Inside My Best Trade with Jimmy Moyaha
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Most market post-mortems describe what happened to prices. Few describe what happened in the trading room while the position was open: the entry conviction, the moments that tested it, and the exit decision that closed the book.
This session brings one seasoned trader to the stage for an unfiltered account of the position that still defines how they think about markets.
Attendees will walk away with:
-A first-hand account of how a conviction trade is built, from thesis and entry through position management and exit
-Understanding of what turns a market observation into a live position, and what holds it when conditions shift
-Insight into how timing, execution quality, and market structure shaped the final result
-Perspective on what the trade revealed about edge, risk tolerance, and when to hold through a position moving against you
-Clarity on what separates a well-built trade from a well-timed one
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
Agentic Inequality: Democratizing Financial Access Through AI & Blockchain
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
As crypto and CFD trading continue to expand across Africa, access to advanced tools and market insights remains uneven. This session explores how AI and blockchain can bridge that gap by empowering informal traders and underserved communities to participate more effectively in digital financial markets. The discussion will focus on practical applications of technology to improve accessibility, education, and investment outcomes in both formal and informal sectors.
In this discussion, we will explore:
-The role of AI in democratizing access to trading tools, insights, and strategy development
-How crypto and blockchain can enable broader participation beyond traditional financial systems
-Addressing access barriers: infrastructure, education, and affordability in underserved communities
-Opportunities for brokers and platforms to tap into the informal trading economy
