Meta PR Goes Back to Playing Offense
Meta is betting on a human-first AI future, but growing legal battles and declining public trust are putting Mark Zuckerberg’s vision to the test.
Meta is betting on a human-first AI future, but growing legal battles and declining public trust are putting Mark Zuckerberg’s vision to the test.
“Call us optimists. Call us dreamers. Call us whatever the hell you want, but we’re betting on people, and we like those odds. The future is for everyone.”
That ad copy is from the voice-over of a July Meta Platforms META -3.38%.
spot that’s been part of a public-relations blitz to position Meta as the humanist AI company. The message was undercut by the ad’s inclusion of David Bowie’s “Five Years,” a brooding 1972 song about an impending apocalypse. But this week CEO Mark Zuckerberg left no ambiguity, publishing a 6,500-word manifesto—about 10 times the length of this newsletter—with a title that echoed the ad: “The Future is for Everyone.”
That seems to be Meta’s new tagline. In light of sinking public opinion and the company’s thousands of lawsuits from states, school districts, parents, and users, Meta’s public relations have been defensive. This push represents a return to offense, with a chance to distinguish Meta’s approach to AI from other labs like OpenAI, Anthropic, or SpaceX SPCX +9.65%.
“It is surprising that the discourse from many developing AI is so filled with doom,” Zuckerberg wrote. “I do not understand why anyone who believes that AI will eliminate most jobs and much of humanity’s relevance would rush to build that future.”
Zuckerberg frames what sort of future we build with AI as the central issue of our time. “We believe that delivering superintelligence to everyone is the way to answer this question,” he says. “This has the potential to begin a new era of personal empowerment where individuals can use this powerful new capability to reach their full potential, pursue their interests, and improve their lives and the world more than ever before.”
The flood of words belies the situation on the ground in mid-2026. Americans, at least, have a love-hate affair with social media. A November Pew Research Center poll reported that 71% of U.S. adults used Facebook, and 51% used Instagram. Worldwide, 3.6 billion people use at least one Meta app every day.
But in a Reuters/Ipsos poll conducted in July and August, 61% of respondents said they wanted more government oversight of social media, and two-thirds supported laws to keep children under 16 years old off the platforms. When it comes to Meta in particular, in the 2026 Axios Harris 100, an annual poll about corporate reputation, Meta placed 96th out of 100. It’s only above two other social media companies, Chinese ultracheap retailer Temu, and Spirit Airlines, a defunct air carrier. Regarding ethics, Meta came in last, and it was only ahead of TikTok in trust.
The steady drip of headlines in the teen social media trials isn’t helping. Last week, Meta lost a judgment in New Mexico state court that raised their liability in that relatively small jurisdiction to nearly $1 billion dollars. On Wednesday, jury selection began for a federal case with four states suing Meta over addictive product design, and false marketing that said its platforms were safe for teenagers. In July, Meta claimed that the states are asking for a total of $1.4 trillion in damages, in addition to design changes in the apps. This is part of a multidistrict litigation, where thousands of federal trials with social media defendants are coordinated in Judge Yvonne Gonzalez Rogers’ district courthouse in Oakland, Calif.
There is a separate such group of thousands of cases in California state court, mostly with individual plaintiffs. The steady drip of bad headlines from the courts will continue unless Meta decides to settle en masse.
Meanwhile, in the second quarter, Meta booked “$2.40 billion of charges related to legal proceedings,” according to its quarterly filing. That may be just the beginning.
Zuckerberg spent 6,500 words getting his utopian message out, but I can sum it up in two: Trust us. The evidence is that Meta has a long way to go to win back that trust.
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AI doesn’t rebel—people design, deploy and profit from it. The real danger lies in allowing tech companies to escape accountability while shaping regulations that protect their dominance.
A wave of corporate warnings and technical disclosures has flooded the media, with headlines worrying over “swarms” of rogue artificial-intelligence agents launching “unprecedented” cyberattacks, outsmarting their makers, and inching toward a terrifying autonomy. The most revealing part of this narrative isn’t what the software did. It’s who is telling the story—and why. When corporate leaders publicly insist that the systems they financed, engineered and deployed are suddenly beyond their power to contain, skepticism isn’t only healthy; it is essential.
For years, Silicon Valley has drawn scrutiny from civil society and global regulators over tangible harms such as youth mental health deterioration and systematic privacy violations. Today, industry figures seem to be trying to change that public image. Loudly blowing the whistle on their own systems—just as two of the leading companies were preparing for massive initial public offerings—lets AI executives position themselves as a new generation of leaders who have come to terms with their societal responsibilities. They seem to want us to believe that they no longer want to “move fast and break things” but will instead stand as vigilant guardians between humanity and a technological apocalypse.
There is one glaring problem: Software doesn’t rebel. A mathematical model possesses neither intent, malice nor the will to defy its creators, let alone extinguish our species. AI is a human artifact, engineered for profit.
When an agentic model in an evaluation sandbox connects to an unauthorized server or executes an exploit, it hasn’t staged a coup. It has tried to meet the human-defined objectives set out before it through a path its designers failed to constrain. It’s the digital equivalent of the King Midas myth, in which the king’s ill-defined wish turns even his food and drink into gold.
That powerful experimental models were able to discover novel vulnerabilities and breach external systems isn’t a sign of a dangerous superintelligence but of human error or negligence. There is no sentient actor lurking in the weights to be reasoned with, feared or pacified. There are only human software engineers, product managers and corporate boards deciding which guardrails are worth the latency cost and which permissions can be skipped in the race to market.
Policymakers and voters need to resist AI exceptionalism. In any other discipline—from civil engineering to pharmaceuticals—courts and regulators treat a system failure as evidence of bad product design and inadequate safety testing. If an aircraft crashes, we focus on finding the engineering defect, correcting it, and enforcing established liability standards for the damage created.
By leaning on an anthropomorphic narrative, Silicon Valley attempts to repackage its specific human choices that led to experimental, powerful models behaving unexpectedly during tests as an existential peril. Elevating the issue to a cosmic scale leaves the public paralyzed and takes ordinary product accountability off the table.
In the cutthroat race for venture capital and market dominance, building guardrails slows down deployment. Grandstanding about uncontrollable power costs nothing and generates billions of dollars in free publicity, justifying stock prices, all while cultivating an aura of technological capability not only to build the frontier but also ultimately to rein it in.
Governments need to recognize regulatory capture when it stares them in the face. Tech leaders’ strategy looks transparent: Alarm Washington and Brussels into creating a regime in which only trillion-dollar incumbents with fully staffed compliance and safety departments can legally operate. By sitting at the policymakers’ tables before anyone else, these companies can help draft rules digging an impassable moat protecting them from open-source developers and upstart competitors, domestic or international. The real danger is in further concentrating the tech industry into the hands of only a few companies with deep pockets.
Beijing and Washington have brushed off those tech leaders’ calls, albeit for very different reasons. Chinese state media dismissed them as part of the “Cold War playbook” and intended to preserve U.S. dominance. Xi Jinping argued for exactly the opposite at the Brics Summit on Sept. 12, calling on Brics countries to “strengthen cooperation in the field of AI, encourage open source, openness, collaboration and sharing, and break new grounds and scale new heights.” President Trump, steeped in a doctrine of unfettered capitalism and technological supremacy, called fears that AI could destroy humanity a “hoax.” Vice President JD Vance warned that AI companies “begging the government to regulate them” looked like a “Trojan Horse.”
Striving to pursue its “European way” on AI and assert regulatory leadership, Europe, by contrast, welcomed the call. European Union President Ursula von der Leyen made this clear at the State of the EU speech last Wednesday and announced that the EU will invite “the main frontier labs for a discussion on how we can support ongoing industry efforts to pace the frontier.”
Europe has been here before. In an effort to lead global regulation and react to fears borne from ChatGPT, Europe rushed its landmark AI Act into law in 2024. Already the world’s most restrictive rulebook, the framework quickly proved too broad and complex to enforce. Stalled by implementation delays and concerns about European competitiveness, the EU postponed the law’s full rollout, leaving regulations uncertain.
AI should be regulated—risks exist and should be taken seriously. But governments need to act based on available evidence and verified facts, not corporate PR panic, the views of industry insiders, or the desire for quick political wins. The greatest danger facing society isn’t that software will awaken and overthrow its human masters. It is that we will allow the creators of the software to abdicate human responsibility for the systems they choose to build and help them pull up the ladder to market access behind them.