Urgent.News

What's breaking now, across thousands of outlets.

AI

Apple vs. Meta Platforms: Which "Magnificent Seven" Giant Has the Stronger Artificial Intelligence (AI) Growth Engine?

Apple vs. Meta Platforms: Which "Magnificent Seven" Giant Has the Stronger Artificial Intelligence (AI) Growth Engine?

In the artificial intelligence (AI) race among the Magnificent Seven tech giants, two laggards stand out: Apple (AAPL) and Meta Platforms (META). Apple has been a latecomer to AI investments, while Meta has poured billions into AI computing with limited results. The question remains: can either company convert their AI ambitions into a profitable business?

Apple has historically avoided building its own AI infrastructure, opting instead to rely on third-party developments. Now that the initial AI wave has passed, the consequences of this strategy are uncertain. Apple has partnered with Alphabet to integrate Gemini into its devices, but the rollout is still ongoing. Apple's competitors like Android have already integrated AI into multiple features, leaving Apple in the shadows.

A bullish scenario for Apple involves the successful launch of AI products, potentially leading to significant revenue and profit gains through an AI subscription service. Conversely, a bearish outlook could see Apple continue to pay exorbitant cloud infrastructure fees for AI processing that may not materialize.

Meta Platforms has invested heavily in AI, offering a free-to-use AI model and using AI to enhance its advertising business. However, these investments have not yet translated into a profitable AI model, leaving investors eager for monetizable returns. Meta's stock is trading at a lower valuation compared to Apple due to the lack of AI-driven profits.

While Apple remains expensive, it has not spent as much on AI as Meta, choosing a more cautious approach. If Meta can turn its AI fortunes around, it could become a strong investment opportunity. However, with Apple's high valuation and execution risks, other AI investments may currently offer better upside potential.

Written by urgent.news from Yahoo Finance's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

This story

This is one outlet's version. Read the fullest account.

Read the original at finance.yahoo.com →

More in AI

Node.js Healthtech Text Summarization SaaS — 4 Chat Completions API Trade-offs

Short answer: start a Node.js ticket-summarization SaaS with chat completions, put the provider behind one tiny adapter, and choose the vendor only after checking model availability, context limits…

  • Construct single adapter layer around chat completions API
  • Verify model availability, context limits, US/EU compliance
  • Maintain stable input, summary instruction, and output

May the Source Be With You: Why Your AI Agent Is Only as Good as Its Knowledge

Everyone seems to be building AI agents. Give a model some instructions, connect a few tools, add a system prompt, and suddenly we have an "agent." Except there's a problem.

  • AI agents need relevant knowledge to make informed decisions.
  • Knowledge architecture should precede agent development.
  • Improving source material and retrieval methods can mitigate risks.

Your AI Agent Doesn't Need a Bigger Context Window. It Needs an Eviction Policy.

Every few weeks another framework ships a bigger context window and someone declares agent memory solved. It isn't. I've watched three separate production agents degrade in the exact same way — not…

  • Increasing context window size doesn't solve AI agent memory issues.
  • Forgetting is the real challenge in agent memory management.
  • Explicit supersession, salience decay, and write-time checks are eviction policies.

Flock is Secretly Building a Powerful New Prompt-Based AI Tool for Police

Slashdot reader fjo3 shared this article from Wired: [Flock] has told the public for years that its technology "cannot recognize, identify, or track individuals." It has now built a system that does…

  • Flock develops AI tool to identify drivers and track vehicles.
  • Tool integrates with police case files, 911 logs, and identity records.
  • System converts license plates to names, addresses, and relatives.

More from Saturday 22 August →