Category: Policy

Thriving in an AI World: The Importance of Good Questions

Every so often I am asked to participate in a survey fielded by Elon University’s Center for Imagining the Digital Future. As you might expect, this year’s survey focuses on the impact of AI, and includes this prompt:

  • If you do think it is likely that AI systems will begin to play a much more significant role in shaping our decisions, work and daily lives: How might individuals and societies embrace, resist and/or struggle with such transformative change? As opportunities and challenges arise due to the positive, neutral and negative ripple effects of digital change, what cognitive, emotional, social and ethical capacities must we cultivate to ensure effective resilience? What practices and resources will enable resilience? What actions must we take right now to reinforce human and systems resilience? What new vulnerabilities might arise and what new coping strategies are important to teach and nurture?

It’s rare that a survey asks its respondents to actually write something cogent and long form, so I figured I’d publish my response here. I’d be curious to hear your thoughts! If you’d like to participate, the link to the survey is here.

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Battle Lines Are Drawn (Predictions 2026, #2)

The 1960s ain’t got nothing on today.

I concluded my post “Magic and Mayhem” with a bit of a tease about the impact of AI on our society:

There will be lots of magic this year. But there will also be plenty of carnage as previously unbreachable moats start to crumble, not only in business, but also in society at large. For more on that, stay tuned for prediction #2. 

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Health Takes Center Stage, Open Evidence Acquired (Predictions 2026, #5 and #4)

Yesterday The Information scooped my well laid plans for today’s health and AI-related predictions. If you’ve been following along this past week, you know I decided to write one prediction post a day for the first working week of the year. Today marks #5, which predicts that health will become a central player in society’s debate around AI, and #4, which predicts OpenEvidence will be acquired. I knew that OpenAI was working on health-related product offerings – the company said as much when it hired Fidji Simo from Instacart. But I didn’t know OpenAI would announce its health product so early in the year. Oh, and by the way, Google is expected to quickly do the same.

That said, I think there’s a lot more room to run in this story. OpenAI’s announcement is just the prelude. Health offers the perfect test case of just about every crucial limitation –  and every massive opportunity – that AI represents in society today.

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The Year Tech Gets Even Bigger (Predictions 2026, #7)

If only Nano Banana could spell, AI would be a thing.

For the past many years one prediction has proven reliably accurate: There will be no significant Federal regulation of the technology industry. At times this stalwart prognostication has been tested by major anti-trust actions – but each has proven ultimately toothless. This year, for example, we’ll learn what the DOJ managed to accomplish in its second case against Google – and it’s still possible a judge will rule that the search and AI giant must divest itself of its adtech infrastructure. But I don’t think so. And even if that ruling does come to pass, Google knows it can simply appeal, dragging out any eventual impact until it wins a war of attrition with an increasingly feckless and uninterested DOJ.

Besides, arguing about the past is playing yesterday’s game, and in 2026, the game has reverted to an even older playbook. For the past five or so years, tech giants have had to play defense when it comes to M&A and sweetheart partnerships – Meta was being sued over its acquisitions of Instagram and WhatsApp, Google over its consolidation of adtech and its domination of search distribution through deals with Apple and Samsung, among others. But in 2026, the governors are coming off.

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Algorithms and Capitalism: Cleaning Up The Waze Parade

Where are we all going?!

Do you feel it? A simmering discontent with the state of capitalism in American life? I certainly do. My kids engage with social media only if they have to – never because they wish to. They believe their feeds are  manipulated by corporate interests, and they are distrustful of anyone who believes otherwise. My wife is convinced that anything she buys online – particularly the bigger ticket items like flights or hotels – is priced based on what algorithms calculate she can afford to pay – not what might be fair or offered to others. Parents in my friend group are terrified that their kids are using ChatGPT as a confidante and therapist whose motivations are unfathomable. The stock market keeps pushing ever upwards, but my colleagues are increasingly convinced a crash is around the corner.

Something just feels….off. The complex socio-economic system that we’re all a part of seems rigged. And we feel powerless to do anything about it.

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Google (and Apple) Get a Slap on The Wrist

Back in the day when I was covering Google on a daily basis, I’d have spent hours poring over yesterday’s news that the judge in Google’s landmark antitrust case essentially blinked. But twenty-odd years of experience leaves me with very little to say about how Google’s first anti-trust case has been resolved, other than this: It’s a nothing burger, with a side of same-as-it-ever-was.

Over the course of nearly four years since the government brought its case, a lot has changed:

  • The United States has veered away from liberal democracy toward illiberal autocracy, and the current administration is no longer interested in grand antitrust remedies that serve the public. Today, everything is seen through the lens of whether a given action or decision furthers the President’s power. Preserving the status quo gives him leverage over powerful actors – he can continue to threaten and bully, ensuring fealty and tribute. In this administration, as in Moscow, Pyongyang and Beijing, no one is allowed to have more power than the Dear Leader.
  • As I laid out in my predictions nine months ago, the tech industry is now the most powerful force in politics outside the President, and its two most muscular companies – Apple and Google – did not want their duopoly upended. We’ll likely never know what soft-power backroom deals were cut to avoid what nearly every legal scholar felt was justified action by the government, but to think those dynamics didn’t impact this decision is to ignore the reality of my first point above.
  • OpenAI’s existence became a convenient foil. The emergence of generative AI has given Google (and the judge in this case) the ability to argue that the DOJ was fighting yesterday’s war. Sure, Google might have been a search monopolist, but look – OpenAI is proof that the market is always smarter than government regulators! Never mind the fact that search literally built the foundation for generative AI, or that generative AI is the natural evolution of search – a product that Google will continue to dominate now that government remedies have been rendered toothless.

Google – and its $20 billion partner Apple – are likely doing cartwheels today. Wall Street certainly is.

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The Planet Is Warming, But Our Speech Has Chilled

Image from the AlphaEarth launch.

More than a decade ago I was working on a book about the impact of data on society. I was obsessed with a maddening and seemingly impossible idea: What if we could track every single piece of data that mattered in the world, and from that data, gain unimaginable insights that would shake us into an entirely new age – the equivalent of moving from Medieval times to the Renaissance?

Of course, I was struggling with this thesis well before AI became mainstream. I knew that the compute and algorithms needed to turn my musings into reality were on the horizon, but I simply could not find a way to realize the concepts I sensed were playing out all around me. I felt like Captain Ahab, madly chasing a spectral leviathan of data. I spent days staring out at the ocean from a rented cottage on the beach, imagining every molecule of water as information dancing across sentient processors. It was about this time that I made an uneasy peace with my ambitions to be the next Gleick or McPhee. Rather than submit to the insanity of the matrix, I abandoned the project, and it has haunted me ever since.

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Tech And Society’s Faustian Bargain

Capture.

I led my predictions for 2025 with the dog-bites-man observation that technology has eclipsed finance as the most powerful industry in the world. More than six months into the year, I’d like to emend my conclusion. Tech hasn’t eclipsed finance. It has captured it. 

Finance has always leveraged technology – at Wired in the early 1990s, we were fond of saying that technology’s twin engines of innovation were money and sex – but the most interesting story was always money. Care to understand the future of internet infrastructure? Bone up on how hedge funds optimize network latency. Want to peer into the future of online consumer services back when the Web was a glint in Marc Andreessen’s eye? Start with online banking. 

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If You Trust AI, You’re Asleep. (At Least You’re Not “Woke”)

Today brought so many stories worth “notes and observations” that I thought I’d try something new – a flash newsletter of sorts, with commentary on stories that pushed my eyebrows up a bit more than usual. Each of these items is worth a full-fledged long-form piece, but it’s Friday, so let’s be brief:

Do You Trust OpenAI? Over the past two years I’ve been warning that when it comes to long promised “user agents” that work on our behalf, AI companies would inevitably adopt the big tech playbook of providing centralized services that they control, ensuring that consumers are dependent on their platforms and by extension, locked into their services. This architecture is anathema to true innovation in a modern data economy, but inevitable given the capital constraints of current AI models. Well, this morning brought news of OpenAI’s “Agent,” which purports to “take over” our computers and take action on our behalf. As I’ve asked, over and over, is this the way we want the future to unfold? Who exactly do we think OpenAI’s agent really works for? Hint: It’s not us, anymore than Facebook, Amazon, or Google ended up working for us.

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The Trouble With Bees

This is not a honey bee.

There’s this throwaway conceit in the current season of Black Mirror that keeps tugging at me, and it’s Friday, so I thought I’d think out loud about it.

In Episode 1, “Common People,” the protagonist, a school teacher, is lecturing her young pupils about pollination. She casually explains how robotic bees have taken over for their organic ancestors, buzzing from flower to flower and, one presumes, keeping the world’s agricultural ecosystem from crashing. The exchange is meant to contextualize the episode as happening sometime in the near future – most of us know that the bee population is crashing, and the concept of autonomous insect drones doesn’t feel that far off. It’s also an elegant reference consistent with one of tech’s most fundamental beliefs – don’t worry, kids, technology can and will save us from ourselves!

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