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Comment Re:Did anyone ask for this? (Score 2) 48

Did you ask an AI ?

"
No, consumers are not clamoring for AI in iPhones.

While Apple, Google, and Samsung have spent billions marketing generative AI as the definitive reason to upgrade, multiple industry surveys and sales figures show a massive disconnect between tech company hype and actual consumer behavior.
Data reveals that the "AI revolution" on smartphones is largely supply-driven by Silicon Valley, rather than demanded by everyday users.

The Real Upgrade Drivers vs. AI Hype

According to market tracking from firms like Consumer Intelligence Research Partners (CIRP) and Recon Analytics, consumers consistently rank AI near the bottom of their priority lists when buying a new phone.Instead, practical hardware performance dominates decision-making:

  - Phone replacement (49%): The battery is dying, the screen is cracked, or the software has slowed down.
  - Loss or theft (19%): The previous device was lost, broken, or stolen.
  - New features (14%): Only a small fraction buy a phone just to get the latest tech features.
  - Core hardware priorities: Consumers overwhelmingly prioritize longer battery life, more storage, and better cameras over any AI capability.
"

Comment Re:Good (Score 4, Informative) 67

"In its most recent Q1 2026 earnings report, Meta’s Reality Labs division posted an operating loss of $4.03 billion on $402 million in revenue.Since late 2020, the unit—which develops VR headsets, AR smart glasses, and metaverse software—has accumulated over $80 billion in total operating losses."

Does that make you feel any better? Zuck renamed to company for something that has cost them $80 billion in losses... so far.

Comment Bubbles burst (Score 2) 75

Apparently the AI bubble is so well insulated that several college commencement speakers never anticapated how loudly they would get booed for lavishing praise on AI in their speeches. There is a self-reinforcing echo chamber in place, and all the corporate officers have fallen for it, to the point where they now judge employees based on how much elecriticity they waste processing AI prompts.

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