Meta AI has 1.2 billion monthly active users. That number sounds impressive until you understand how it was achieved: not by building a product people chose to use, but by embedding an AI assistant directly into WhatsApp, Instagram DMs, and Facebook feeds — apps that billions of people were already using every day. Users did not download Meta AI. They did not sign up for it. It appeared, uninvited, inside their existing conversations and search bars. Compare that to ChatGPT, which has 900 million weekly active users who actively chose to visit a standalone product — and which holds 76.85% of the AI search market. For professional tasks like coding, research, legal analysis, and writing, ChatGPT remains far superior. Meta AI is widely described as useful for quick queries and social integration, but not much else.&nbsp;$83.5 Billion In Cumulative Losses And Counting&nbsp;Meta's Reality Labs division — which houses its AI, VR, AR, and metaverse operations — has accumulated approximately $83.5 billion in operating losses across 21 consecutive quarters. In 2025 alone, Reality Labs burned $19.2 billion. In Q1 2026, it lost another $4.03 billion while generating just $402 million in revenue — a ratio of roughly $10 lost for every $1 earned. Meta has now laid off more than 1,000 Reality Labs employees as it pivots resources from the metaverse to AI, but the losses continue to mount with no breakeven point in sight.&nbsp;$145 Billion In AI Spending — With No Cloud Business To Show For It&nbsp;Meta has raised its 2026 capital expenditure forecast to between $125 billion and $145 billion — an increase of over 60% year-on-year. This money is going into data centres, Nvidia GPUs, and AI infrastructure. Google, Amazon, and Microsoft are spending similar amounts — but each of them has a cloud computing business that immediately monetises that infrastructure by selling compute capacity to other companies. Meta has no cloud business. Its revenue is almost entirely advertising. Every dollar spent on AI infrastructure is a bet that it will eventually make ads more targeted and platforms more engaging. That may happen. But right now, Meta AI, business agents, WhatsApp paid messaging, and early commerce initiatives are not generating meaningful revenue. The AI spending is improving the existing ad business — not building a new one.&nbsp;The Moderation Crisis Nobody Is Pricing In&nbsp;While Meta pours billions into AI infrastructure, the AI it has already deployed is actively destroying trust with the people who use its platforms. Meta's own Oversight Board confirmed in June 2026 that the company's account bans lack due process and transparency. Thousands of creators, small business owners, and ordinary users have had their accounts suspended or permanently deleted by AI moderation systems that falsely flag normal content — including family photos — as violations. A Change.org petition against wrongful Meta account bans has gathered nearly 56,000 signatures. Meanwhile, AI-generated bot accounts with blue tick verification badges continue to operate freely on the same platforms. Meta has gutted its human moderation teams in favour of AI enforcement — and the AI is getting it catastrophically wrong at scale.&nbsp;Zuckerberg's Answer On AI Returns&nbsp;When Meta reported its Q1 2026 earnings and revealed the raised capex guidance, analysts pressed Mark Zuckerberg on what measurable return on investment the company's AI spending was actually delivering. His answer was notable: he described it as ‘a very technical question.’ For a company spending up to $145 billion in a single year on capital projects — more than the GDP of most countries — that answer is not reassuring. Meta's CFO said the 2025 AI investment cohort ‘paid off,’ but what that means in practice is that ad targeting improved. It does not mean Meta AI as a product generates revenue. It does not mean the $145 billion in infrastructure will produce a new business line. It means the existing advertising machine got slightly better.&nbsp;What The Market Is Choosing To Ignore&nbsp;Meta's stock has fallen approximately 27.5% from its all-time high of $796.25 in August 2025, trading at around $577 as of mid-June 2026. But even after that correction, the market is still valuing Meta at roughly $1.46 trillion — a price that assumes the AI spending will eventually pay off, that Meta AI will become a competitive product, and that the moderation crisis will resolve itself. The data suggests a different picture: a company that has burned nearly $90 billion on Reality Labs over seven years with no return, that is spending $145 billion on infrastructure it cannot monetise through a cloud business, whose flagship AI product was force-embedded into existing apps rather than adopted on its own merits, and whose AI moderation system is actively destroying the creator and small business ecosystem that drives its advertising revenue. The market may be right that Meta's ad business is strong enough to survive all of this. But calling Meta AI a success — when its users did not choose it, its moderation is failing, its losses are approaching $90 billion, and its CEO calls ROI ‘a very technical question’ — requires ignoring a substantial amount of evidence to the contrary.

Meta AI has 1.2B users it didn't earn, $83.5B in cumulative losses, $145B capex with no cloud business, and a moderation crisis destroying creator trust. Here's the data.

Meta AI has 1.2 billion monthly active users. That number sounds impressive until you understand how it was achieved: not by building a product people chose to use, but by embedding an AI assistant directly into WhatsApp, Instagram DMs, and Facebook feeds — apps that billions of people were already using every day. Users did not download Meta AI. They did not sign up for it. It appeared, uninvited, inside their existing conversations and search bars. Compare that to ChatGPT, which has 900 million weekly active users who actively chose to visit a standalone product — and which holds 76.85% of the AI search market. For professional tasks like coding, research, legal analysis, and writing, ChatGPT remains far superior. Meta AI is widely described as useful for quick queries and social integration, but not much else. $83.5 Billion In Cumulative Losses And Counting Meta's Reality Labs division — which houses its AI, VR, AR, and metaverse operations — has accumulated approximately $83.5 billion in operating losses across 21 consecutive quarters. In 2025 alone, Reality Labs burned $19.2 billion. In Q1 2026, it lost another $4.03 billion while generating just $402 million in revenue — a ratio of roughly $10 lost for every $1 earned. Meta has now laid off more than 1,000 Reality Labs employees as it pivots resources from the metaverse to AI, but the losses continue to mount with no breakeven point in sight. $145 Billion In AI Spending — With No Cloud Business To Show For It Meta has raised its 2026 capital expenditure forecast to between $125 billion and $145 billion — an increase of over 60% year-on-year. This money is going into data centres, Nvidia GPUs, and AI infrastructure. Google, Amazon, and Microsoft are spending similar amounts — but each of them has a cloud computing business that immediately monetises that infrastructure by selling compute capacity to other companies. Meta has no cloud business. Its revenue is almost entirely advertising. Every dollar spent on AI infrastructure is a bet that it will eventually make ads more targeted and platforms more engaging. That may happen. But right now, Meta AI, business agents, WhatsApp paid messaging, and early commerce initiatives are not generating meaningful revenue. The AI spending is improving the existing ad business — not building a new one. The Moderation Crisis Nobody Is Pricing In While Meta pours billions into AI infrastructure, the AI it has already deployed is actively destroying trust with the people who use its platforms. Meta's own Oversight Board confirmed in June 2026 that the company's account bans lack due process and transparency. Thousands of creators, small business owners, and ordinary users have had their accounts suspended or permanently deleted by AI moderation systems that falsely flag normal content — including family photos — as violations. A Change.org petition against wrongful Meta account bans has gathered nearly 56,000 signatures. Meanwhile, AI-generated bot accounts with blue tick verification badges continue to operate freely on the same platforms. Meta has gutted its human moderation teams in favour of AI enforcement — and the AI is getting it catastrophically wrong at scale. Zuckerberg's Answer On AI Returns When Meta reported its Q1 2026 earnings and revealed the raised capex guidance, analysts pressed Mark Zuckerberg on what measurable return on investment the company's AI spending was actually delivering. His answer was notable: he described it as ‘a very technical question.’ For a company spending up to $145 billion in a single year on capital projects — more than the GDP of most countries — that answer is not reassuring. Meta's CFO said the 2025 AI investment cohort ‘paid off,’ but what that means in practice is that ad targeting improved. It does not mean Meta AI as a product generates revenue. It does not mean the $145 billion in infrastructure will produce a new business line. It means the existing advertising machine got slightly better. What The Market Is Choosing To Ignore Meta's stock has fallen approximately 27.5% from its all-time high of $796.25 in August 2025, trading at around $577 as of mid-June 2026. But even after that correction, the market is still valuing Meta at roughly $1.46 trillion — a price that assumes the AI spending will eventually pay off, that Meta AI will become a competitive product, and that the moderation crisis will resolve itself. The data suggests a different picture: a company that has burned nearly $90 billion on Reality Labs over seven years with no return, that is spending $145 billion on infrastructure it cannot monetise through a cloud business, whose flagship AI product was force-embedded into existing apps rather than adopted on its own merits, and whose AI moderation system is actively destroying the creator and small business ecosystem that drives its advertising revenue. The market may be right that Meta's ad business is strong enough to survive all of this. But calling Meta AI a success — when its users did not choose it, its moderation is failing, its losses are approaching $90 billion, and its CEO calls ROI ‘a very technical question’ — requires ignoring a substantial amount of evidence to the contrary.

Meta AI has 1.2 billion monthly users it did not earn, force-embedded into WhatsApp and Instagram. Reality Labs has burned through $83.5 billion in cumulative losses. The company is spending $145 billion on AI infrastructure with no cloud business to monetise it. Its own Oversight Board says its AI moderation lacks due process. And when asked about AI returns, Mark Zuckerberg called it ‘a very technical question.’ Here is the data the market is choosing to ignore.

Meta AI is a lost cause but the market refuses to see it yet! Here's why

Apple has hinted that the recent price increases for selected MacBooks and iPads may only be the beginning. The company says rapidly rising memory and storage costs, fuelled by the global AI boom, are putting unprecedented pressure on consumer electronics manufacturers. While Apple has not confirmed which products will be affected next, industry analysts believe iPhones could be among them.&nbsp;The warning comes after Apple acknowledged that it has "reached a point" where it needs to begin raising prices on more products, suggesting the latest increases may not be the last.<h2>Why are prices increasing?</h2>According to Apple, demand for memory and storage chips has surged as companies building AI data centres purchase huge volumes of components."The consumer electronics industry is facing an unprecedented challenge," the company said in a statement reported by multiple media outlets. Apple added that it had "never seen a component price increase this much, this quickly." Research firm Counterpoint Research has also reported sharp increases in memory and storage prices over recent quarters, adding to manufacturing costs across the industry.<h2>Could iPhones become more expensive?</h2>Apple has not officially announced an iPhone price increase. However, media estimates suggest that higher component costs could add roughly $200 to the production cost of each iPhone. That does not automatically mean retail prices will increase by the same amount, but analysts believe Apple may eventually pass at least part of the higher costs on to consumers. It also remains unclear whether any future price increase would apply only to the upcoming iPhone 18 series or extend to existing models.<h2>AI is reshaping consumer electronics</h2>Apple is not the only company feeling the impact of the AI boom. As AI infrastructure expands globally, demand for advanced memory chips continues to outpace supply. The company says it is working to find long-term solutions but admits the current situation is unlike anything it has experienced before. For consumers, that could mean higher prices not just for iPhones but potentially for AirPods, Apple Watches and other Apple devices in the months ahead.

Apple says soaring AI-driven memory and storage costs could force more product price increases after recent MacBook and iPad hikes. While nothing has been confirmed, analysts believe iPhones, AirPods and Apple Watches could also become more expensive.


Apple has hinted that the recent price increases for selected MacBooks and iPads may only be the beginning. The company says rapidly rising memory and storage costs, fuelled by the global AI boom, are putting unprecedented pressure on consumer electronics manufacturers. While Apple has not confirmed which products will be affected next, industry analysts believe iPhones could be among them. The warning comes after Apple acknowledged that it has "reached a point" where it needs to begin raising prices on more products, suggesting the latest increases may not be the last. Why are prices increasing? According to Apple, demand for memory and storage chips has surged as companies building AI data centres purchase huge volumes of components. "The consumer electronics industry is facing an unprecedented challenge," the company said in a statement reported by multiple media outlets. Apple added that it had "never seen a component price increase this much, this quickly." Research firm Counterpoint Research has also reported sharp increases in memory and storage prices over recent quarters, adding to manufacturing costs across the industry. Could iPhones become more expensive? Apple has not officially announced an iPhone price increase. However, media estimates suggest that higher component costs could add roughly $200 to the production cost of each iPhone. That does not automatically mean retail prices will increase by the same amount, but analysts believe Apple may eventually pass at least part of the higher costs on to consumers. It also remains unclear whether any future price increase would apply only to the upcoming iPhone 18 series or extend to existing models. AI is reshaping consumer electronics Apple is not the only company feeling the impact of the AI boom. As AI infrastructure expands globally, demand for advanced memory chips continues to outpace supply. The company says it is working to find long-term solutions but admits the current situation is unlike anything it has experienced before. For consumers, that could mean higher prices not just for iPhones but potentially for AirPods, Apple Watches and other Apple devices in the months ahead.

Apple says soaring AI-driven memory and storage costs could force more product price increases after recent MacBook and iPad hikes. While nothing has been confirmed, analysts believe iPhones, AirPods and Apple Watches could also become more expensive.

After Macs & iPads, Apple may raise iPhone prices too. Here's what's driving it

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Meta AI is a lost cause but the market refuses to see it yet! Here's why

After Macs & iPads, Apple may raise iPhone prices too. Here's what's driving it