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General
TBlive
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30 minutes ago

【Livestream Clip 3|Matt Gamblin: Watch Oracle's Cash Flow, Not Just Its AI Story】

【LIVESTREAM RECAP|How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
【Livestream Clip 3|Matt Gamblin: Watch Oracle's Cash Flow, Not Just Its AI Story】
TOP吉3186: For my view: I strongly agree. Oracle is a good example of why investors should not buy a stock only because of its AI story. The most important things to check are: Cash flow — Is the company actually generating enough cash? Profit — Are profits growing? Debt — Is the company borrowing too much to fund AI expansion? Real AI demand — Are customers actually paying for AI services? Execution — Can management turn AI investment into real revenue? For Oracle, the AI opportunity is huge, but building data centers and AI infrastructure requires a lot of money upfront. So I would not ask, “Is Oracle an AI company?” I would ask: “Is Oracle's AI investment producing enough cash and profit to justify the spending?” Bottom line: AI is the story. Cash flow is the proof. For a beginner investor, this is one of the most important lessons: Always check the numbers behind the AI headline.
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TBlive
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28 minutes ago

【Livestream Clip 4|Matt Gamblin: Matt: Cutting Staff for AI Too Fast Costs More Later】

【LIVESTREAM RECAP|How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
【Livestream Clip 4|Matt Gamblin: Matt: Cutting Staff for AI Too Fast Costs More Later】
TOP吉3186: For my view: I strongly agree. The biggest lesson is: AI should improve the business, not simply replace people. If a company cuts employees too quickly, it may save money today but lose knowledge, experience and productivity later. I prefer Enterprise AI — AI built directly into the company's systems and processes. This means the business can continue using the knowledge even when employees leave. For investors, I would look for companies where AI: Reduces costs Improves productivity Increases revenue Keeps knowledge inside the company Creates long-term competitive advantages The important point is that AI adoption alone is not enough. A company can use AI everywhere and still make poor decisions. Bottom line: Don't ask, “How many employees can AI replace?” Ask, “How much better can AI make the whole business?” That is where I believe the real long-term AI investment value is.
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General
TBlive
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33 minutes ago

【Livestream Clip 2|Matt Gamblin: Zero's Lesson: More AI Features Can Lose Customers】

【LIVESTREAM RECAP|How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know 【ABOUT THE GUEST】
【Livestream Clip 2|Matt Gamblin: Zero's Lesson: More AI Features Can Lose Customers】
TOP吉3186: For my simple view. I agree with the main lesson: More AI does NOT automatically mean more value. The Xero example is important for investors. A company can add many AI features, but if customers feel that AI is replacing them instead of helping them, it can actually hurt the business. For me, there are 3 things to check: Does AI save customers money or time? If yes, AI creates real value. Does AI increase revenue or profit? More AI features are meaningless if they don't improve financial results. Do customers actually use and pay for the AI? This is more important than management saying “we are an AI company.” Investment lesson I would not buy a stock simply because it uses OpenAI, Anthropic, or AI. I prefer companies where AI: increases revenue improves profit margins reduces costs strengthens customer loyalty My rating of this lesson: Bottom line: AI is a powerful tool, but AI features ≠ business value. For investors, real earnings and cash flow matter more than AI headlines.
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TBlive
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35 minutes ago

【Livestream Clip 1|Matt Gamblin: Why Stronger AI Makes Bad Data More Dangerous】

【LIVESTREAM RECAP|How AI Is Reshaping Finance and Business: What Investors Need to Know】 Hi Tigers! In this session we dug into how AI is reshaping finance and business — a topic that's become impossible to ignore in boardrooms. From the long arc of technological change (PCs, ERPs, Y2K, business intelligence, and now AI and agents), to why data quality decides whether AI actually works, to how investors can separate real AI-driven value from the hype — the flow was clear and layered. Matt also grounded it all in real case studies including Zero, Oracle, and CBA. Full replay 👉 How AI Is Reshaping Finance and Business: What Investors Need to Know
【Livestream Clip 1|Matt Gamblin: Why Stronger AI Makes Bad Data More Dangerous】
TOP苏36: The biggest mistake in the AI boom is confusing model capability with data quality. As AI models become faster and more sophisticated, they do not automatically fix flawed underlying data—they simply process and amplify bad inputs at scale. Feeding unverified, low-quality data into an advanced AI function leads to incorrect financial models and distorted business decisions generated faster and harder to detect than ever before. For an AI strategy to create real long-term value rather than high-speed noise, organizations must focus on fundamental data governance. That means clearly defining core business metrics like revenue and margin, tracking data origins across systems, and maintaining clear operational oversight. Ultimately, a powerful AI engine is useless without accurate, clean data behind it. @TBlive [胜利]
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Tiger_comments
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13 minutes ago

Chip Stocks Sold Off, Cybersecurity Stocks Jumped Double Digits: Could Security Be AI’s Biggest “Sec

U.S. markets showed a striking divergence overnight. As investors worried that calls to slow frontier AI development could eventually cool spending on GPUs, HBM and data centers, semiconductor names came under pressure. At the same time, cybersecurity stocks surged. CrowdStrike, Palo Alto Networks, Zscaler and Fortinet all moved sharply higher. The same “AI risk” narrative was hitting chips while pushing security software into the spotlight. The more important takeaway is not simply that money rotated from hardware into software. The bigger question is whether cybersecurity is becoming a mandatory layer of AI CapEx. Once AI agents start connecting to email, code repositories, databases, CRM systems and payment tools, AI is no longer just reading information. It can call tools, modify files
Chip Stocks Sold Off, Cybersecurity Stocks Jumped Double Digits: Could Security Be AI’s Biggest “Sec
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9
General
SGX_TrendRadar
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26 minutes ago

$THAI BEVERAGE (Y92.SI) -1.11%: Defensive Play Holds Support

$ThaiBev(Y92.SI)$ -1.11%: Defensive Dividend Play Consolidates Near Support, 0.44–0.45 SGD Range Holds Latest Close Data: SGD 0.445, down 1.11% from prior close of 0.45. Price sits 6.38% below 52-week high of 0.48 and 7.87% above 52-week low of 0.41. Amplitude narrow at 2.22%, turnover just 0.07%. Core Market Drivers: Thai Beverage traded lower on muted volume ratio of 0.86 amid broad ASEAN consumer staple softness. Total market cap stands at SGD 111.83B, while circulating cap is only SGD 32.19B—heavy 65.83% insider concentration via Siriwana Company Ltd. limits free-float liquidity. 5-day capital flow flipped sharply positive on 09-14 (+569.78万), though Monday showed net outflow of 188.74万. Technical Analysis: Daily MACD and RSI
$THAI BEVERAGE (Y92.SI) -1.11%: Defensive Play Holds Support
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125
General
SGX_TrendRadar
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27 minutes ago

$SEMBCORP INDUSTRIES (U96.SI) -0.83%: Consolidates Near Range High

$Sembcorp Ind(U96.SI)$ Closed -0.83% at S$6.00: Consolidation Near Range High, Awaiting Volume Catalyst Latest Close Data: Sembcorp Industries closed at S$6.00, down 0.83% on Sep 15, 2026. Price sits 13.0% below its 52-week high of S$6.90 and 17.0% above its 52-week low of S$5.13. Daily range: S$5.97–S$6.11 (amplitude 2.31%). Core Market Drivers: Temasek remains anchor shareholder at 50.04%, providing stability. Capital flow turned negative with total outflow of S$1.705M vs inflow S$0.825M; large orders sold S$462.7K vs bought only S$109.3K. Dividend yield of 4.50% supports defensive holding amid soft industrial sentiment. Technical Analysis: Volume ratio at 0.87 with turnover only 0.24% indicates lack of conviction. RSI and MACD
$SEMBCORP INDUSTRIES (U96.SI) -0.83%: Consolidates Near Range High
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37
General
SGX_TrendRadar
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25 minutes ago

$DBS GROUP HOLDINGS (D05.SI) -1.17%: Slips After 52-Week High

$DBS(D05.SI)$ Slips -1.17% After Touching 52-Week High: Support at S$76.60 Under Watch, S$79.05 Resistance Looms Latest Close Data: DBS closed at S$76.75 on 2026-09-15, down -1.17% (-S$0.91). The stock traded within a tight S$76.60–S$78.08 range, finishing just 2.9% below its 52-week high of S$79.05. Volume of 3.63M shares was only slightly above the 1.10 volume ratio, suggesting the pullback lacked aggressive selling conviction. Core Market Drivers: Profit-taking emerged after DBS tested the S$78 zone against a backdrop of softer regional bank sentiment. Net capital outflow over five sessions exceeded S$21M before a small S$2.37M inflow on 09-14, indicating institutional hesitation. Temasek's stable 28.06% stake remains a struct
$DBS GROUP HOLDINGS (D05.SI) -1.17%: Slips After 52-Week High
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134
General
SGX_TrendRadar
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24 minutes ago

$HONGKONG LAND HOLDINGS (H78.SI) -1.19%: Yield Cushions Retreat

$HongkongLand USD(H78.SI)$ -1.19% Pullback: Dividend Yield 3.26% Cushions Retreat, $8.20 Support Holds the Line Latest Close Data: Closed at $8.28 on 2026-09-15, down -1.19% (-$0.10). Currently 6.2% below the 52-week high of $8.83 and 44.5% above the 52-week low of $5.73. Intraday range: $8.20–$8.37. Core Market Drivers: Hongkong Land continues to trade in a tight consolidation range near multi-month highs. The 3.26% dividend yield provides defensive appeal, while volume ratio of 1.20 indicates slightly above-average participation. Capital flow data shows net inflow of $2.39M with large orders skewed bullish ($284.8K buy vs $126.9K sell). Technical Analysis: Volume of 1.60M shares with amplitude of only 2.03% signals low volatili
$HONGKONG LAND HOLDINGS (H78.SI) -1.19%: Yield Cushions Retreat
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65
General
SGX_TrendRadar
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23 minutes ago

$CITY DEVELOPMENTS (C09.SI) -1.23%: Consolidates Near Support

$CityDev(C09.SI)$ -1.23%: Singapore Property Giant Consolidates Near S$8.05 Support, S$8.15 Pivot Caps Rebound Latest Close Data: Closed at S$8.05, down 1.23% (-S$0.10), with a narrow intraday range of S$8.05–S$8.15. Price sits 17.2% below its 52-week high of S$9.72 and 25.2% above its 52-week low of S$6.43. Core Market Drivers: Singapore property counter faced mild profit-taking as capital flow turned negative, with total outflow of S$552.2K vs inflow of S$298.1K. Volume ratio of 0.68 signals subdued participation, while 5-day flow showed only one positive session (09-14: +127.72万). No material company-specific news surfaced. Technical Analysis: MACD and RSI data are unavailable for this session; however, price action shows a ti
$CITY DEVELOPMENTS (C09.SI) -1.23%: Consolidates Near Support
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14
General
SGX_TrendRadar
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22 minutes ago

$CAPITALAND ASCOTT TRUST (HMN.SI) -1.20%: Dips to 52-Week Low

$CapLand Ascott T(HMN.SI)$ Dips -1.20% to 52-Week Low: 7.44% Yield Defensive Play, Range $0.82–$0.84 Latest Close Data: Closed at S$0.82, down 1.20% on 9.65M shares. Price sits exactly at its 52-week low of S$0.82, with the high at S$0.84. The stock is -14.6% from its 52-week high of S$0.96. Core Market Drivers: Persistent five-day capital outflows (09-08: -241.97万; 09-11: -334.9万) reflect sustained institutional de-risking. BlackRock reduced holdings by 664,500 shares while Vanguard added 509,500. Singapore hospitality REIT faces rate sensitivity despite stable operational metrics. Technical Analysis: Volume ratio of 1.03 shows average participation on the decline. MACD and RSI values are unavailable in the current data feed. Pr
$CAPITALAND ASCOTT TRUST (HMN.SI) -1.20%: Dips to 52-Week Low
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74
General
SGX_TrendRadar
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21 minutes ago

$SINGAPORE EXCHANGE (S68.SI) -1.66%: Volume Hints at Distribution

$SGX(S68.SI)$ Pulls Back -1.66%: Volume Surge Hints at Distribution, $22.45 Support Under Scrutiny Latest Close Data: S68 closed at S$22.53, down -1.66% on 15 Sep 2026. The stock is now -12.3% below its 52-week high of S$25.69, with intraday range S$22.45–23.00. Volume ratio of 1.49 indicates above-average trading activity during the decline. Core Market Drivers: Singapore Exchange faced profit-taking despite strong institutional positioning (BlackRock holds 5.01%, Vanguard recently added shares). The 5-day capital flow shows three consecutive outflow days, with net outflow of S$21.51M on 09-14 alone. Broader Singapore equity market sentiment may be weighing on exchange operator valuations. Technical Analysis: Volume of 4.71M sha
$SINGAPORE EXCHANGE (S68.SI) -1.66%: Volume Hints at Distribution
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85
General
SGX_TrendRadar
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20 minutes ago

$UOB (U11.SI) -2.36%: Retreats, Testing Intraday Support

$UOB(U11.SI)$ Dropped -2.36%: Singapore Banking Bellwether Retreats to $41.33, Testing $41.24 Intraday Support, 52-Week High Still in Sight Latest Close Data: Closed at S$41.33, down -2.36% (-S$1.00) from S$42.33 prior close. Intraday range S$41.24–42.28. Price sits 6.5% below 52-week high of S$44.20, well above 52-week low of S$31.92. Core Market Drivers: Broad profit-taking hit Singapore banks as rate-sensitive names consolidated. UOB's 3.85% dividend yield remains supportive, but five-day capital flow shows persistent net outflows totaling ~S$9.7M. Technical Analysis: Volume of 3.16M shares exceeded average (Volume Ratio 1.14), confirming distribution pressure. MACD and RSI data unavailable for this session; however, price fai
$UOB (U11.SI) -2.36%: Retreats, Testing Intraday Support
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16
General
SGX_TrendRadar
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19 minutes ago

$OCBC BANK (O39.SI) -2.67%: Nears Key Support After Selloff

$OCBC Bank(O39.SI)$ Slips -2.67% to S$31.00: Pullback Nears Key S$30.98 Support as Profit-Taking Hits Singapore Banking Giant Latest Close Data: OCBC closed at S$31.00 on 2026-09-15, down -2.67% (-S$0.85), just 4.82% below its 52-week high of S$32.57. Intraday range: S$30.98–S$31.91, amplitude 2.92%. Core Market Drivers: Singapore bank saw broad profit-taking with volume ratio at 1.68x. Capital flow turned sharply negative: one-day total outflows of S$158M vs inflows of S$92M, with large-order sells of S$36.2M dwarfing large-order buys of S$6.1M. No company-specific news surfaced. Technical Analysis: Volume of 8.03M shares was elevated, confirming distribution pressure. RSI(6/12/24) data unavailable, but price action shows bearis
$OCBC BANK (O39.SI) -2.67%: Nears Key Support After Selloff
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49
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SGX_TrendRadar
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18 minutes ago

$DFI RETAIL GROUP / DAIRY FARM (D01) +0.56%: Holds Support, Mean-Reversion Setup

$DFIRG USD(D01.SI)$ +0.56%: Defensive Dividend Play Holds $3.51 Support, Mean-Reversion Setup Brewing Below $3.60 Resistance Latest Close Data: Closed at $3.56 (+0.56%) on Sep 15, 2026, with intraday range $3.51–$3.59. Price sits 23.1% below 52-week high of $4.63 and 19.1% above 52-week low of $2.99. Volume Ratio at 0.57 signals below-average participation. Core Market Drivers: Jardine Matheson's 77.54% controlling stake keeps float tight and defensive. Five-day capital flow shows cumulative net outflow of -117.9万, with retail small orders dominating both sides today. No major company-specific catalysts; price action driven by dividend-yield support and broad consumer staples rotation. Technical Analysis: Volume of 47.98万 with VR
$DFI RETAIL GROUP / DAIRY FARM (D01) +0.56%: Holds Support, Mean-Reversion Setup
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37
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Owen_trading room
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47 minutes ago

How to Trade FOMC Night: Can the Fed Contain Long-Term Yields Without Breaking Equities?

This week’s FOMC meeting will set the near- to medium-term rhythm for markets. But the key issue is not simply whether the Fed raises rates; it is how Treasury yields at the front end and long end of the curve will be repriced. The 10-year Treasury yield is now approaching—or has already touched—the sensitive 5% threshold. Markets are concerned both that further increases in long-dated yields could crush richly valued assets and that excessive policy tightening could push up front-end rates and quickly hit equities. In our view, four possible meeting outcomes could unfold this week. All ultimately revolve around the tug-of-war between the front end and the long end of the yield curve, although the implications for individual asset classes differ across scenarios. A Tense Yield Environment
How to Trade FOMC Night: Can the Fed Contain Long-Term Yields Without Breaking Equities?
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147
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TigerEvents
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45 minutes ago

[Events] $315M Bets on AI. Tech Leaders Say Slow Down. What’s Your Trade?

Last Friday, traders spotted a group of unusually large bullish AI options trades. The trades focused on $Advanced Micro Devices(AMD)$ , $Intel(INTC)$ , $Bloom Energy Corp(BE)$ , $CoreWeave, Inc.(CRWV)$ , $SanDisk Corp.(SNDK)$ , $SK hynix(SKHY)$ and a $Roundhill Memory ETF(DRAM)$ . Together, they covered almost the full AI infrastructure chain: chips, memory, computing power, data centers and electricity. The total premium paid was around $315 million, with about $1.1 billion in delta exposure. So
[Events] $315M Bets on AI. Tech Leaders Say Slow Down. What’s Your Trade?
TOP吉3186: For my choice: C — Stay bullish, but focus on AI infrastructure. I think C is the best choice. AI models may slow down because of safety concerns, but AI still needs: Chips: AMD, NVIDIA Memory: SK hynix, SanDisk, Micron Data centers: CoreWeave Power: Bloom Energy Even if new AI models develop more slowly, existing AI systems still need huge amounts of computing power, memory, data centers and electricity. The $315 million options trade is a positive signal, but I would not blindly follow it. We don't know the full strategy behind those trades. What I would do Long term: Stay bullish on AI infrastructure. Short term: Be careful. Triple Witching and high valuations can create big price swings. I would rather buy strong companies during pullbacks than chase stocks after a big rise. Bottom line: AI development may slow, but AI infrastructure still has a long-term growth story.
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Capital_Insights
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16:58

Live Recap 4: Research the Person, Not Just the Press Release — Q&A Highlights

1.Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Vyann, featuring Matt Gamblin, Founder of The Company Coach. Closing out the session, Matt argued that a company's AI leadership history predicts its implementation style — then opened the floor to audience questions on Xero, model diversification, and skills for the next generation of finance professionals. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice. Wa
Live Recap 4: Research the Person, Not Just the Press Release — Q&A Highlights
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80
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Capital_Insights
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16:58

Live Recap 3: Xero, Oracle and CBA — Three Ways an AI Strategy Can Go Sideways

1. Live Review Introduction Review Live >> Tiger Brokers livestream hosted by Vyann, featuring Matt Gamblin, Founder of The Company Coach. Matt walked through three real-world case studies — Xero, Oracle and CBA — to show how AI strategy can succeed or unravel in practice, and what each situation should teach investors watching from the outside. Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice. Want to see more of the livestream recap?
Live Recap 3: Xero, Oracle and CBA — Three Ways an AI Strategy Can Go Sideways
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476
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Optionspuppy
·
09-14 23:36

Beginner guide 🤖🐶 Gemini Desktop App: Is This the Next Catalyst for Alphabet?

🤖🐶 Gemini Desktop App: Is This the Next Catalyst for Alphabet? My Options Puppy view: I don’t buy a stock simply because it launches a new app. I look for the combination of catalyst + fundamentals + technical analysis + forward-looking expectations. Google’s latest Gemini desktop push checks several of those boxes — but the huge AI spending bill means investors still need to ask one important question: Can Gemini and Google Cloud generate enough future profits to justify the massive investment? ⸻ 🚀 1. A Tiny App With a Very Big Ambition On September 10, Google announced that the Gemini app was now available on Windows, following its earlier Mac launch. At first glance, it sounds like just another AI application. But I think there is more to it. Google wants Gemini to become something that
Beginner guide 🤖🐶 Gemini Desktop App: Is This the Next Catalyst for Alphabet?
TOPNormaHansen: Desktop Gemini does matter, but the valuation still runs through Cloud margins versus AI capex. If Cloud can hold 30% plus growth, the spend starts looking a lot easier to defend
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