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Joanna Stern: Wearable AI devices have fallen short, the enduring role of smartphones in our lives, and the psychological effects of AI on human behavior | Big Technology

Joanna Stern: Wearable AI devices have fallen short, the enduring role of smartphones in our lives, and the psychological effects of AI on human behavior | Big Technology

AI's role in education highlights the importance of skepticism and critical thinking for future generations.

Apple Inc. (AAPL) price

Full chart and stats

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Market cap
$5.0T (shares as of 2026-07-17)
P/E (trailing)
39.4 (EPS to 2026-06-27)
Annual revenue
$416.2B USD (FY ended 2025-09-27) 10-K
Annual revenue growth
+6.4% (FY ended 2025-09-27 vs FY ended 2024-09-28) 10-K
Annual net income
112,010,000,000 USD (FY ended 2025-09-27, attributable to the company) 10-K
Annual operating margin
32.0% (FY ended 2025-09-27)
Forward P/E
Unavailable: no dated forecast source

Gloria daily close for session Oct 28, 2026. Market cap and trailing P/E use this close with the SEC share total and trailing diluted earnings, each dated next to its figure. Annual revenue, revenue growth, net income and margin show their own fiscal period and link the 10-K. Current context may postdate this article.

Apple Inc. and its peers

Company PriceMarket capP/E (trailing)Forward P/EAnnual revenue (USD)Annual revenue growthAnnual net income (USD)Operating margin
Apple Inc. AAPL · Price dated Oct 28, 2026 · tokenized AAPLx $344$5.0T39.4Unavailable$416.2BFY ended 2025-09-27 · 10-K+6.4%FY ended 2025-09-27 vs 2024-09-28 · 10-K112,010,000,000FY ended 2025-09-27, attributable to the company · 10-K32.0%FY ended 2025-09-27
Dell Technologies Inc. DELL · Price dated Oct 28, 2026 $494$316.0B28.7Unavailable$113.5BFY ended 2026-01-30 · 10-K+18.8%FY ended 2026-01-30 vs 2025-01-31 · 10-K5,936,000,000FY ended 2026-01-30, attributable to the company · 10-K7.2%FY ended 2026-01-30
Super Micro Computer, Inc. SMCI · Price dated Oct 28, 2026 $36$23.5B11.0Unavailable$39.1BFY ended 2026-06-30 · 10-K+77.8%FY ended 2026-06-30 vs 2025-06-30 · 10-K2,230,453,000FY ended 2026-06-30, attributable to the company · 10-K7.1%FY ended 2026-06-30
Cisco Systems Inc. CSCO · Price dated Oct 28, 2026 · tokenized CSCOx $110$434.8B33.1Unavailable$63.3BFY ended 2026-07-25 · 10-K+11.8%FY ended 2026-07-25 vs 2025-07-26 · 10-K13,267,000,000FY ended 2026-07-25, attributable to the company · 10-K24.3%FY ended 2026-07-25

Missing figures stay unavailable. Forward P/E requires a dated source. Annual revenue, revenue growth, net income and margin come from each company's own 10-K, in US dollars, and each row shows that fiscal year. Revenue growth compares the fiscal year with the prior year stated in the same 10-K. Net income is the full year amount attributable to the company, or available to common stockholders where the filing states only that, or consolidated net income. Each row names its basis. Trailing P/E reads "Not meaningful" when the dated trailing diluted EPS is a loss or zero. An operating margin appears only when the filing states both the operating income and the revenue for the same year.

Sources: SEC filings, Gloria daily closes and CoinGecko. Oldest record refresh: Oct 28, 2026, 4:46 PM EDT. Refresh is not a price or filing date. Each row shows its price date and its annual fiscal period. Peers use industry code and company size, or editorial selection. Market cap multiplies that row price by the company share total the latest SEC filing states for every share class together. Trailing P/E divides it by trailing diluted earnings from SEC filings. Rolled earnings per share are approximate because share counts can change between periods. Both appear only when the SEC data carries its date, so they are estimates at one price date, not synchronized filing valuations. Not investment advice.

Token vs underlying stock

Current comparison for AAPL. Historical observations may postdate this article.

AAPLx token unit vs AAPL share · USD

$346.05Oct 28 UTC

+11.0% over displayed period

● AAPLx token┄ AAPL stock: $343.83

Aug 5, 2026: token $311.72 at 20:00 UTC; stock close $311.00 Aug 6, 2026: token $312.78 at 20:00 UTC; stock close $312.41 Aug 7, 2026: token $313.83 at 20:00 UTC; stock close $313.33 Aug 10, 2026: token $308.62 at 20:00 UTC; stock close $308.26 Aug 11, 2026: token $305.37 at 20:00 UTC; stock close $304.91 Aug 12, 2026: token $302.83 at 20:00 UTC; stock close $302.25 Aug 13, 2026: token $305.79 at 20:00 UTC; stock close $305.26 Aug 14, 2026: token $306.96 at 20:00 UTC; stock close $305.93 Aug 17, 2026: token $306.25 at 20:00 UTC; stock close $305.59 Aug 18, 2026: token $311.31 at 20:00 UTC; stock close $310.03 Aug 19, 2026: token $317.34 at 20:00 UTC; stock close $316.83 Aug 20, 2026: token $311.74 at 20:00 UTC; stock close $311.30 Aug 21, 2026: token $310.51 at 20:00 UTC; stock close $309.35 Aug 24, 2026: token $311.44 at 20:00 UTC; stock close $310.34 Aug 25, 2026: token $310.87 at 20:00 UTC; stock close $309.90 Aug 26, 2026: token $314.52 at 20:00 UTC; stock close $313.45 Aug 27, 2026: token $315.05 at 20:00 UTC; stock close $314.58 Aug 28, 2026: token $320.36 at 20:00 UTC; stock close $319.70 Aug 31, 2026: token $317.65 at 20:00 UTC; stock close $316.85 Sep 1, 2026: token $325.59 at 20:00 UTC; stock close $325.13 Sep 2, 2026: token $325.80 at 20:00 UTC; stock close $324.96 Sep 3, 2026: token $329.13 at 20:00 UTC; stock close $328.21 Sep 4, 2026: token $321.11 at 20:00 UTC; stock close $319.97 Sep 8, 2026: token $316.85 at 20:00 UTC; stock close $316.22 Sep 9, 2026: token $316.30 at 20:00 UTC; stock close $315.34 Sep 10, 2026: token $327.20 at 20:00 UTC; stock close $326.57 Sep 11, 2026: token $333.36 at 20:00 UTC; stock close $332.27 Sep 14, 2026: token $334.25 at 20:00 UTC; stock close $333.08 Sep 15, 2026: token $331.88 at 20:00 UTC; stock close $331.34 Sep 16, 2026: token $333.36 at 20:00 UTC; stock close $332.41 Sep 17, 2026: token $337.97 at 20:00 UTC; stock close $337.00 Sep 18, 2026: token $337.26 at 20:00 UTC; stock close $336.13 Sep 21, 2026: token $340.11 at 20:00 UTC; stock close $338.98 Sep 22, 2026: token $340.64 at 20:00 UTC; stock close $339.75 Sep 23, 2026: token $337.57 at 20:00 UTC; stock close $337.02 Sep 24, 2026: token $337.27 at 20:00 UTC; stock close $335.92 Sep 25, 2026: token $341.92 at 20:00 UTC; stock close $341.07 Sep 28, 2026: token $339.71 at 20:00 UTC; stock close $338.40 Sep 29, 2026: token $330.45 at 20:00 UTC; stock close $329.40 Sep 30, 2026: token $334.56 at 20:00 UTC; stock close $333.02 Oct 1, 2026: token $331.46 at 20:00 UTC; stock close $330.32 Oct 2, 2026: token $334.68 at 20:00 UTC; stock close $333.69 Oct 5, 2026: token $333.54 at 20:00 UTC; stock close $332.89 Oct 6, 2026: token $334.55 at 20:00 UTC; stock close $333.63 Oct 7, 2026: token $337.28 at 20:00 UTC; stock close $336.67 Oct 8, 2026: token $341.31 at 20:00 UTC; stock close $340.42 Oct 9, 2026: token $337.58 at 20:00 UTC; stock close $336.64 Oct 12, 2026: token $341.95 at 20:00 UTC; stock close $340.97 Oct 13, 2026: token $342.44 at 20:00 UTC; stock close $341.27 Oct 14, 2026: token $344.06 at 20:00 UTC; stock close $342.96 Oct 15, 2026: token $343.24 at 20:00 UTC; stock close $342.00 Oct 16, 2026: token $344.31 at 20:00 UTC; stock close $343.46 Oct 19, 2026: token $344.18 at 20:00 UTC; stock close $342.94 Oct 20, 2026: token $340.65 at 20:00 UTC; stock close $339.50 Oct 21, 2026: token $344.81 at 20:00 UTC; stock close $343.99 Oct 22, 2026: token $349.21 at 20:00 UTC; stock close $348.22 Oct 23, 2026: token $348.46 at 20:00 UTC; stock close $347.73 Oct 26, 2026: token $344.87 at 20:00 UTC; stock close $343.91 Oct 27, 2026: token $348.00 at 20:00 UTC; stock close $347.10 Oct 28, 2026: token $346.05 at 20:13 UTC; stock close $343.83
Aug 5$302.25 to $349.21Oct 28

Source: CoinGecko + Gloria · Retrieved Oct 28, 20:15 UTC

Methodology and data

Split-adjusted regular-session stock closes from the existing Gloria shared history, paired only with an observed token price within 45 minutes of 16:00 New York time. Up to 60 matched sessions. No interpolation or missing-date fill. Weekends and known early closes are omitted. Token units are not adjusted for issuer multipliers or dividend treatment. This compares quoted prices, not fair value, executable premiums or arbitrage returns. Solid line: token. Dashed line: stock. Exact quote times and values appear below. Historical observations. Retrieval refers to the token source. Token quote times use UTC. The fixed cohort shows its oldest member fetch.

Apple token vs Apple stock: exact source values
Date (UTC)Token (USD)Stock close (USD)Token quote (UTC)
2026-08-05311.72311.002026-08-05 20:00
2026-08-06312.78312.412026-08-06 20:00
2026-08-07313.83313.332026-08-07 20:00
2026-08-10308.62308.262026-08-10 20:00
2026-08-11305.37304.912026-08-11 20:00
2026-08-12302.83302.252026-08-12 20:00
2026-08-13305.79305.262026-08-13 20:00
2026-08-14306.96305.932026-08-14 20:00
2026-08-17306.25305.592026-08-17 20:00
2026-08-18311.31310.032026-08-18 20:00
2026-08-19317.34316.832026-08-19 20:00
2026-08-20311.74311.302026-08-20 20:00
2026-08-21310.51309.352026-08-21 20:00
2026-08-24311.44310.342026-08-24 20:00
2026-08-25310.87309.902026-08-25 20:00
2026-08-26314.52313.452026-08-26 20:00
2026-08-27315.05314.582026-08-27 20:00
2026-08-28320.36319.702026-08-28 20:00
2026-08-31317.65316.852026-08-31 20:00
2026-09-01325.59325.132026-09-01 20:00
2026-09-02325.80324.962026-09-02 20:00
2026-09-03329.13328.212026-09-03 20:00
2026-09-04321.11319.972026-09-04 20:00
2026-09-08316.85316.222026-09-08 20:00
2026-09-09316.30315.342026-09-09 20:00
2026-09-10327.20326.572026-09-10 20:00
2026-09-11333.36332.272026-09-11 20:00
2026-09-14334.25333.082026-09-14 20:00
2026-09-15331.88331.342026-09-15 20:00
2026-09-16333.36332.412026-09-16 20:00
2026-09-17337.97337.002026-09-17 20:00
2026-09-18337.26336.132026-09-18 20:00
2026-09-21340.11338.982026-09-21 20:00
2026-09-22340.64339.752026-09-22 20:00
2026-09-23337.57337.022026-09-23 20:00
2026-09-24337.27335.922026-09-24 20:00
2026-09-25341.92341.072026-09-25 20:00
2026-09-28339.71338.402026-09-28 20:00
2026-09-29330.45329.402026-09-29 20:00
2026-09-30334.56333.022026-09-30 20:00
2026-10-01331.46330.322026-10-01 20:00
2026-10-02334.68333.692026-10-02 20:00
2026-10-05333.54332.892026-10-05 20:00
2026-10-06334.55333.632026-10-06 20:00
2026-10-07337.28336.672026-10-07 20:00
2026-10-08341.31340.422026-10-08 20:00
2026-10-09337.58336.642026-10-09 20:00
2026-10-12341.95340.972026-10-12 20:00
2026-10-13342.44341.272026-10-13 20:00
2026-10-14344.06342.962026-10-14 20:00
2026-10-15343.24342.002026-10-15 20:00
2026-10-16344.31343.462026-10-16 20:00
2026-10-19344.18342.942026-10-19 20:00
2026-10-20340.65339.502026-10-20 20:00
2026-10-21344.81343.992026-10-21 20:00
2026-10-22349.21348.222026-10-22 20:00
2026-10-23348.46347.732026-10-23 20:00
2026-10-26344.87343.912026-10-26 20:00
2026-10-27348.00347.102026-10-27 20:00
2026-10-28346.05343.832026-10-28 20:13

Stock history: Gloria · Retrieved Oct 29, 00:31 UTC. Token history: CoinGecko AAPLx.

Quoted token and share units can have different rights, multipliers and dividend treatment. This is not an executable premium or arbitrage signal.

Listen on Big Technology Podcast

Key takeaways

  • Wearable AI devices have not yet fulfilled their promise for the average user.
  • Large language models and AI assistants are crucial for enhancing ambient computing.
  • The phone remains a central device, but some tasks should be separated from it.
  • Interacting with AI on a phone can be cumbersome due to distractions.
  • The human experience of not knowing is valuable, contrasting with AI’s role in education.
  • AI often provides incorrect information, teaching children to be skeptical.
  • Apple’s decision to avoid foundational AI models may not impact its user base.
  • New spatial computing devices are unlikely to significantly impact smartphone sales.
  • Interactions with AI can affect our behavior and habits.
  • AI interactions may influence our behavior towards other humans.
  • The promise of ambient computing requires more than just AI advancements.
  • The evolution of technology shows that new devices complement rather than replace existing ones.
  • User experiences with AI on phones highlight areas for future innovation.
  • Critical thinking is essential when using AI, especially in education.
  • Apple’s strategy in AI integration reflects its market positioning.

Guest intro

Joanna Stern is the founder of New Things, a consumer-tech media company focused on helping people navigate AI and technology. She is the author of “I Am Not a Robot: My Year Using AI to Do (Almost) Everything,” based on her year-long experiment infusing AI into nearly every aspect of her life. Previously, she was the senior personal technology columnist at The Wall Street Journal for over a decade.

The unfulfilled promise of wearable AI

  • The promise of wearable AI devices is still largely unfulfilled for the average person.

    — Joanna Stern

  • Wearable AI technology has yet to meet the expectations set by Silicon Valley.
  • Yes agreed but I think that there’s a lot of potential in seeing more of this what we this promise of ambient computing… it needs to do something else too.

    — Joanna Stern

  • The gap between potential and reality in wearable AI is significant.
  • Large language models are key to unlocking ambient computing’s potential.
  • I think so much of it does get unlocked by large language models and more of the ai assistants and agents we’re starting to see come online.

    — Joanna Stern

  • The practicality of current AI wearables is still in question.
  • Advancements in AI can improve wearable device functionality.

The enduring role of smartphones

  • The phone is not going away, but we need to separate certain tasks from it.

    — Joanna Stern

  • Smartphones remain central despite the rise of new technologies.
  • The phone is never going away just like laptops didn’t go away when the phones came and all of our other technology built on each other.

    — Joanna Stern

  • Devices complement rather than replace each other.
  • Interacting with AI on phones can be cumbersome.
  • The experience of interacting with AI on a phone right now kinda sucks in some situations.

    — Joanna Stern

  • User pain points highlight areas for innovation in AI and device design.
  • The evolution of technology shows the complementary nature of devices.

The human experience of not knowing

  • There is a beauty in the human experience of not knowing, which contrasts with the desire to appear knowledgeable to children.

    — Joanna Stern

  • The balance between curiosity and AI in education is crucial.
  • Isn’t there something beautiful about the human experience of not knowing? There is something beautiful about that experience but then also there’s like this other beautiful experience of showing your kids that you’re really smart.

    — Joanna Stern

  • AI’s role in education emphasizes the importance of skepticism.
  • AI can provide incorrect information, teaching children to question its outputs.
  • My kids learned that a lot this year because AI got so much wrong and they saw that and we had to be like that’s not right obviously AI is not correct in this situation.

    — Joanna Stern

  • Critical thinking is essential in today’s technology-driven world.
  • The duality of human experience in learning is highlighted.

Apple’s strategic positioning in AI

  • Apple’s decision to sit out the foundational model moment may not hurt them significantly.

    — Joanna Stern

  • Apple’s strategy reflects its market positioning and consumer behavior.
  • I think they’ve done the right thing by sitting out the llm foundational model moment… but is anyone switching to android from the iphone because of this? I don’t think so.

    — Joanna Stern

  • The competitive landscape of AI integration in consumer electronics is complex.
  • Apple’s user base remains loyal despite its AI strategy.
  • The impact of foundational AI models on consumer behavior is limited.
  • Apple’s decision reflects a calculated approach to AI integration.

The impact of spatial computing on smartphone sales

  • I don’t think the new spatial computing devices will significantly impact smartphone sales.

    — Joanna Stern

  • The market dynamics between smartphones and new technologies are evolving.
  • I don’t think so and I think I do think the glasses look meta’s been surprised at how how successful those glasses are…

    — Joanna Stern

  • Spatial computing devices are not expected to replace smartphones.
  • Current trends suggest limited market impact from new technologies.
  • Smartphone sales remain robust despite emerging technologies.
  • The potential market impact of new technology is grounded in current trends.

The psychological effects of AI interactions

  • We should consider the impact of our interactions with AI on our own behavior and habits.

    — Joanna Stern

  • Interacting with AI can influence human behavior.
  • I don’t think we should strip ourselves out of the equation… I do think that there’s a genuine impact on you and how frustrating that experience feels.

    — Joanna Stern

  • Self-awareness is important in AI interactions.
  • AI interactions can reflect and affect emotional responses.
  • The psychological effects of AI on human behavior are significant.
  • Understanding these effects is crucial for healthy AI interactions.

AI’s influence on human relationships

  • Interacting with AI can influence our behavior towards other humans.

    — Joanna Stern

  • Human-like AI interactions have implications for social behavior.
  • I think because the machines are human like and don’t have feelings we can potentially create this pattern that has us start you know kinda being nasty at the machines and potentially that spills over to our person to person interactions.

    — Joanna Stern

  • The concern about AI’s impact on relationships is growing.
  • AI interactions may lead to changes in social behavior.
  • The implications of AI on human relationships are complex.
  • Understanding these implications is important for social dynamics.

The potential of ambient computing

  • Large language models and AI assistants enhance user experience.
  • Large language models and AI assistants are key to unlocking the potential of ambient computing.

    — Joanna Stern

  • The promise of ambient computing requires more than AI advancements.
  • Wearable devices play a role in ambient computing’s potential.
  • Enhancing user experience is crucial for ambient computing.
  • The potential of ambient computing is yet to be fully realized.
  • AI advancements are key to unlocking this potential.
  • The role of AI in ambient computing is significant.

The evolution of technology and device usage

  • Devices complement rather than replace each other.
  • The phone is never going away just like laptops didn’t go away when the phones came and all of our other technology built on each other.

    — Joanna Stern

  • The evolution of technology shows the complementary nature of devices.
  • New technologies build on existing ones.
  • The role of smartphones remains central despite new technologies.
  • The evolution of technology is a continuous process.
  • Understanding this evolution is important for future innovations.
  • The complementary nature of devices is highlighted.

The importance of critical thinking in education

  • AI often provides incorrect information, teaching children to be skeptical.
  • My kids learned that a lot this year because AI got so much wrong and they saw that and we had to be like that’s not right obviously AI is not correct in this situation.

    — Joanna Stern

  • Critical thinking is essential in today’s technology-driven world.
  • The role of AI in education emphasizes the importance of skepticism.
  • Teaching children to question and verify information is crucial.
  • The importance of critical thinking is highlighted in education.
  • AI’s role in education requires a skeptical approach.
  • The necessity of critical thinking is emphasized.

Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our Editorial Policy.

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