Tech bosses lauded Trump and promised massive US buildouts.
Policy access beats public distance for most Big Tech leaders despite US political divide.
Musk said he was invited, did not attend, and looked irked.
Trump received more than a healthy dose of praise.
At a worshipful State Dining Room, Big Tech courted policy access,
celebrated a lighter regulatory touch, and flashed trillion-dollar ambitions.
Elon Musk stayed away and stayed salty.
A New Courtship Ritual at Dinner
Thursday night’s White House dinner delivered a simple message from
Silicon Valley to Washington: we can play nice when it pays. Cameras rolled as
top tech figures, from those specializing in social media, artificial
intelligence (AI) and more, took turns thanking the president and talking up
American investment, an optics-perfect scene in which power met money and both
smiled for the record. The performance element was the point, and everyone hit
their mark.
Meta founder Mark Zuckerberg, Apple CEO Tim Cook, Microsoft
founder Bill Gates, OpenAI founder Sam Altman, Google CEO Sundar Pichai and
Microsoft CEO Satya Nadella, were among the attendees.
WATCH LIVE: President Trump hosts top tech CEOs at White House dinner https://t.co/5DZXKjDAJH
Mark Zuckerberg sat to the president’s right and talked about “huge
investments,” while name-checking Meta’s plan to spend at least $600
billion through 2028 on U.S. data centers and infrastructure. If regulatory
vibes stay friendly, that hyperscale budget becomes a moat. It also becomes
leverage in every conversation about energy, zoning, and tax incentives that
touch those builds.
Altman’s Trump Applause Line, Gates’ Gratitude
Open AI CEO Sam Altman praised Trump's vision (Creative Commons - TechCrunch).
OpenAI’s Sam Altman thanked Trump for being a “pro-business,
pro-innovation president,” saying, "It's a very refreshing change. ... I
think it's going to set us up for a long period of leading the world, and that
wouldn't be happening without your leadership." Bill Gates offered public
appreciation too, a genteel nod that doubles as a signal to agencies and
appropriators who will shape AI’s future. The room’s mood said the quiet part
out loud: charm the policymaker, de-risk the roadmap.
Policy Small Talk with Very Large Consequences
The choreography may be ceremonial, but the agenda is not. There’s a
need to address the raw power, and legislation, needed to power the next wave
of giant data centers, as well as the bureaucratic snags that slow grid
hookups. Those nuts-and-bolts fixes are worth far more to these companies than
any single handshake photo.
Proud to be at the White House today attending the AI Education Task Force meeting led by @FLOTUS. @AMD is proud to expand our commitment to AI Education through new AI Learning Labs and open source courses that will give students, educators and researchers hands-on experience… pic.twitter.com/qbpMEQRj0n
Tech
wants a light regulatory touch on AI. That pitch landed alongside the
reality that the current FTC chair, Andrew Ferguson, is a vocal Big Tech
critic. Translation for the dinner crowd: play nice in public, push hard in
private, and hope the referees swallow the whistle.
Musk, Invited, Still Unamused
I was invited, but unfortunately could not attend. A representative of mine will be there.
One billionaire did not attend the ball. Elon Musk said on X he was
invited, could not attend, and sent no vibes beyond the familiar posture of
wounded detachment. Given his recent season as an insider, the absence is loud.
The rest of the class showed up, smiled, and banked IOUs. Musk stayed outside,
where the applause is thinner and the leverage is smaller.
The Soft Power Math
For the CEOs, this is not about likes, it is about permissions and
plumbing. Licenses, interconnects, tax treatment, export allowances, spectrum,
visas, grid hookups, even the right to pour concrete on a tight timeline.
Public praise is the cheap down payment. The return shows up in a permitting
office, an appropriations subcommittee, or a tariff footnote that quietly
shapes who scales and who stalls. Though, not everyone among Trump's base will be pleased...
Gates and Zuckerbucks Oh hell no - President Trump hosts top tech CEOs at White House dinner. pic.twitter.com/n38sfvLLhp
Washington likes a narrative about jobs and national strength. Big Tech
can supply both, at least on paper, with eye-watering capex and patriotic
ribbon cuttings. In exchange it prefers clarity over crusades. Fewer surprise
rules, faster project approvals, friendlier interpretations from people who
answer the phone. Call it regulatory mood music. Get the key in the right,
predictable, business-friendly key and the orchestra will play louder.
The real action is always off camera. The dessert course becomes a
sidebar on energy capacity needs, chip supply chains, or the wording of an AI
safety memo. A single adjective in a federal guideline can move billions. That
is why everyone shows up polished and patient. Charm first, specifics later,
outcomes months from now. If the trade is flattery for facilitation, Silicon
Valley is already doing the math and the answer keeps coming back the same:
access compounds.
For more stories at the intersection of fintech, AI and more, follow
our Trending section.
At a worshipful State Dining Room, Big Tech courted policy access,
celebrated a lighter regulatory touch, and flashed trillion-dollar ambitions.
Elon Musk stayed away and stayed salty.
A New Courtship Ritual at Dinner
Thursday night’s White House dinner delivered a simple message from
Silicon Valley to Washington: we can play nice when it pays. Cameras rolled as
top tech figures, from those specializing in social media, artificial
intelligence (AI) and more, took turns thanking the president and talking up
American investment, an optics-perfect scene in which power met money and both
smiled for the record. The performance element was the point, and everyone hit
their mark.
Meta founder Mark Zuckerberg, Apple CEO Tim Cook, Microsoft
founder Bill Gates, OpenAI founder Sam Altman, Google CEO Sundar Pichai and
Microsoft CEO Satya Nadella, were among the attendees.
WATCH LIVE: President Trump hosts top tech CEOs at White House dinner https://t.co/5DZXKjDAJH
Mark Zuckerberg sat to the president’s right and talked about “huge
investments,” while name-checking Meta’s plan to spend at least $600
billion through 2028 on U.S. data centers and infrastructure. If regulatory
vibes stay friendly, that hyperscale budget becomes a moat. It also becomes
leverage in every conversation about energy, zoning, and tax incentives that
touch those builds.
Altman’s Trump Applause Line, Gates’ Gratitude
Open AI CEO Sam Altman praised Trump's vision (Creative Commons - TechCrunch).
OpenAI’s Sam Altman thanked Trump for being a “pro-business,
pro-innovation president,” saying, "It's a very refreshing change. ... I
think it's going to set us up for a long period of leading the world, and that
wouldn't be happening without your leadership." Bill Gates offered public
appreciation too, a genteel nod that doubles as a signal to agencies and
appropriators who will shape AI’s future. The room’s mood said the quiet part
out loud: charm the policymaker, de-risk the roadmap.
Policy Small Talk with Very Large Consequences
The choreography may be ceremonial, but the agenda is not. There’s a
need to address the raw power, and legislation, needed to power the next wave
of giant data centers, as well as the bureaucratic snags that slow grid
hookups. Those nuts-and-bolts fixes are worth far more to these companies than
any single handshake photo.
Proud to be at the White House today attending the AI Education Task Force meeting led by @FLOTUS. @AMD is proud to expand our commitment to AI Education through new AI Learning Labs and open source courses that will give students, educators and researchers hands-on experience… pic.twitter.com/qbpMEQRj0n
Tech
wants a light regulatory touch on AI. That pitch landed alongside the
reality that the current FTC chair, Andrew Ferguson, is a vocal Big Tech
critic. Translation for the dinner crowd: play nice in public, push hard in
private, and hope the referees swallow the whistle.
Musk, Invited, Still Unamused
I was invited, but unfortunately could not attend. A representative of mine will be there.
One billionaire did not attend the ball. Elon Musk said on X he was
invited, could not attend, and sent no vibes beyond the familiar posture of
wounded detachment. Given his recent season as an insider, the absence is loud.
The rest of the class showed up, smiled, and banked IOUs. Musk stayed outside,
where the applause is thinner and the leverage is smaller.
The Soft Power Math
For the CEOs, this is not about likes, it is about permissions and
plumbing. Licenses, interconnects, tax treatment, export allowances, spectrum,
visas, grid hookups, even the right to pour concrete on a tight timeline.
Public praise is the cheap down payment. The return shows up in a permitting
office, an appropriations subcommittee, or a tariff footnote that quietly
shapes who scales and who stalls. Though, not everyone among Trump's base will be pleased...
Gates and Zuckerbucks Oh hell no - President Trump hosts top tech CEOs at White House dinner. pic.twitter.com/n38sfvLLhp
Washington likes a narrative about jobs and national strength. Big Tech
can supply both, at least on paper, with eye-watering capex and patriotic
ribbon cuttings. In exchange it prefers clarity over crusades. Fewer surprise
rules, faster project approvals, friendlier interpretations from people who
answer the phone. Call it regulatory mood music. Get the key in the right,
predictable, business-friendly key and the orchestra will play louder.
The real action is always off camera. The dessert course becomes a
sidebar on energy capacity needs, chip supply chains, or the wording of an AI
safety memo. A single adjective in a federal guideline can move billions. That
is why everyone shows up polished and patient. Charm first, specifics later,
outcomes months from now. If the trade is flattery for facilitation, Silicon
Valley is already doing the math and the answer keeps coming back the same:
access compounds.
For more stories at the intersection of fintech, AI and more, follow
our Trending section.
Louis Parks has lived and worked in and around the Middle East for much of his professional career. He writes about the meeting of the tech and finance worlds.
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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
