I woke up to August 11 with the sense that Europe finally flipped the switch on AI governance. Since August 2, the EU’s AI Office is operational, the AI Board is seated, and a second wave of the EU AI Act just kicked in, hitting general‑purpose AI squarely in the training data. DLA Piper notes that Member States had to name their national competent authorities by August 2, with market surveillance and notifying authorities publicly designated, and the Commission’s AI Office now takes point on GPAI oversight and systemic risk. That means Brussels has a cockpit, instruments, and air‑traffic control—no more regulation by press release.

Loyens & Loeff explains what changed: provisions on GPAI, governance, notified bodies, confidentiality obligations for regulators, and penalties entered into application on August 2. The fines framework is now real: up to 35 million euros or 7% of global turnover for prohibited uses; 15 million or 3% for listed violations; and 1% or 7.5 million for misleading regulators—calibrated down for SMEs. The twist is timing: some sanctions and many high‑risk system duties still bite fully in 2026, but the scaffolding is locked in today.

Baker McKenzie and Debevoise both stress the practical breakpoint: if your model hit the EU market on or after August 2, 2025, you must meet the GPAI obligations now; if it was already on the market, you have until August 2, 2027. That matters for OpenAI’s GPT‑4o, Anthropic’s Claude 3, Meta’s Llama, Mistral’s models, and Google’s Gemini. Debevoise lists the new baseline: technical documentation ready for regulators; information for downstream integrators; a copyright policy; and a public summary of training data sources. For “systemic risk” models, expect additional safety obligations tied to compute thresholds—think red‑team depth, incident reporting, and risk mitigation at scale.

Jones Day reports the Commission has approved a General‑Purpose AI Code of Practice, the voluntary on‑ramp developed with the AI Office and nearly a thousand stakeholders. It sits alongside a Commission template for training‑data summaries published July 24, and interpretive guidelines for GPAI. The near‑term signal is friendly but firm: the AI Office will work with signatories in good faith through 2025, then start enforcing in 2026.

TechCrunch frames the spirit: the EU wants a level playing field, with a clear message that you can innovate, but you must explain your inputs, your risks, and your controls. KYC360 adds the institutional reality: the AI Office, AI Board, a Scientific Panel, and national regulators now have to hire the right technical talent to make these rules bite. That’s where the next few months get interesting—competence determines credibility.

For listeners building or buying AI, the takeaways land fast. Document your model lineage. Prepare a training data summary with a cogent story on copyright. Label AI interactions. Harden your red‑teaming, and plan for compute‑based systemic risk triggers. For policymakers from Washington to Tokyo, Europe just set the compliance floor and the timeline. The Brussels effect is loading.

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August 2, 2025. The day the EU Artificial Intelligence Act, or EU AI Act, shed its training wheels and sent a very clear message to Silicon Valley, the European tech hubs, and anyone building or deploying large AI systems worldwide: the rules are real, and they now have actual teeth. You can practically hear Brussels humming, busy as national authorities across Europe scramble to operationalize oversight, finalizing the appointment of market surveillance and notifying authorities. The new EU AI Office has spun up officially, orchestrated by the European Commission, while its counterpart—the AI Board—is organizing Member State reps to calibrate a unified, pragmatic enforcement machine. Forget the theoreticals: the Act’s foundational governance, once a dry regulation in sterile PDFs, now means compliance inspectors, audits, and, yes, the possibility of jaw-dropping fines.

Let’s get specific. The EU AI Act carves AI systems into risk tiers, and that’s not just regulatory theater. “Unacceptable” risks—think untargeted scraping for facial recognition surveillance—are banned, no appeals, as of February. Now, the burning topic: general-purpose AI, or GPAI. Every model with enough computational heft and broad capability—from OpenAI’s GPT-4o to Google’s Gemini and whatever Meta dreams up—must answer the bell. For anything released after August 2, today’s the compliance clock start. Existing models have a two-year grace period, but the crunch is on.

For the industry, the implications are seismic. Providers have to disclose the shape and source of their training data—no more shrugging when pressed on what’s inside the black box. Prove you aren’t gobbling up copyrighted material, show your risk mitigation playbook, and give detailed transparency reports. LLMs now need to explain their licensing, notify users, and label AI-generated content. The big models face extra layers of scrutiny—impact assessments and “alignment” reports—which could set a new global bar, as suggested by Avenue Z’s recent breakdown.

Penalties? Substantial. The numbers are calculated to wake up even the most hardened tech CFO: up to €35 million or 7% of worldwide turnover for the most egregious breaches, and €15 million or 3% for GPAI failures. And while the voluntary GPAI Code of Practice, signed by the likes of Google and Microsoft, is a pragmatic attempt to show goodwill during the transition, European deep-tech voices like Mistral AI are nervously lobbying for delayed enforcement. Meanwhile, Meta opted out, arguing the Act’s “overreach,” which only underscores the global tension between innovation and oversight.

Some say this is Brussels flexing its regulatory muscle—others call it a necessary stance to demand AI systems put people and rights first, not just shareholder returns. One thing’s clear: the EU is taking the lead in charting the next chapter of AI governance. Thanks for tuning in, and don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

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It’s August 7, 2025, and the entire tech landscape in Europe is electrified—no, not from another solar storm—but because the EU AI Act is finally biting into actual practice. If you’re wrangling code, signing off risk assessments, or—heaven help you—overseeing general-purpose AI deployments like GPT, Claude, or Gemini, pour yourself an extra coffee. Less than a week ago, on August 2, the strictest rules yet kicked in for providers and users of general-purpose AI models. Forget the comfortable ambiguity of “best practice”—it’s legal obligations now, and Brussels means business.

The EU AI Act—this is not mere Eurocratic busywork, it’s the world’s first comprehensive, risk-based AI regulation. Four risk levels: unacceptable, high, limited, and minimal, each stacking up serious compliance hurdles as you get closer to the “high-risk” bullseye. But it’s general-purpose AI models, or GPAIs, that have just entered regulatory orbit. If you make, import, or deploy these behemoths inside the European Union, new transparency, copyright, and safety demands kicked in this week, regardless of whether your headquarters are in Berlin, Boston, or Bengaluru.

There’s a carrot and stick. Companies racing to compliance can build their AI credibility into commercial advantage. Everyone else? There are fines—up to €35 million or 7% of global turnover for the worst data abuses, with a specific €7.5 million or 1.5% global turnover fine just for feeding authorities faulty info. There is zero appetite for delays: Nemko and other trade experts confirm that despite lobbying from all corners, Brussels killed off calls for more time. The timeline is immovable, the stopwatch running.

The reality is that structured incident response isn’t optional anymore. Article 73 slaps a 72-hour window on reporting high-risk AI incidents. You’d better have incident documentation, automated alerting, and legal teams on speed dial, or you’re exposing your organization to financial and reputational wipeout. Marching alongside enforcement are the national competent authorities, beefed-up with new tech expertise, standing ready to audit your compliance on the ground. Above them, the freshly minted AI Office wields centralized power, with real sanctions in hand and the task of wrangling 27 member states into regulatory harmony.

Perhaps most interesting for the technorati is the voluntary Code of Practice for general-purpose AI, published last month. Birthed by a consortium of nearly 1,000 stakeholders, this code is a sandbox for “soft law.” Some GPAI providers are snapping it up, hoping it’ll curry favor with regulators or future-proof their risk strategies. Others eye it skeptically—worrying it might someday morph into binding obligations by stealth.

Like all first drafts of epochal laws, expect turbulence. The debate on innovation versus regulation is fierce—some say it’s a straitjacket, others argue it finally tethers the wild west of AI in Europe to something resembling societal accountability. For project managers, compliance is no longer an afterthought—it’s core to adding value and avoiding existential risk.

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Monday morning, August 4th, 2025, and if you’re building, applying, or, let’s be honest, nervously watching artificial intelligence models in Europe, you’re in the new age of regulation—brought to you by the European Union’s Artificial Intelligence Act, the EU AI Act. No foot-dragging, no wishful extensions—the European Commission made it clear just days ago that all deadlines stand. There’s no wiggle room left. Whether you’re in Berlin, Milan, or tuning in from Silicon Valley, what Brussels just triggered could reshape every AI product headed for the EU—or, arguably, the entire global digital market, thanks to the so-called “Brussels effect.”

That’s not just regulatory chest-thumping: these new rules matter. Starting this past Saturday, anyone putting out General-Purpose AI models—a term defined with surgical precision in the new guidelines released by the European Commission—faces tough requirements. You’re on the hook for technical documentation and transparent copyright policies, and for the bigger models—the ones that could disrupt jobs, safety, or information itself—there’s a hefty duty to notify regulators, assess risk, mitigate problems, and, yes, prepare for cybersecurity nightmares before they happen.

Generative AI, like OpenAI’s GPT-4, is Exhibit A. Model providers aren’t just required to summarize their training data. They’re now ‘naming and shaming’ where data comes from, making once secretive topics like model weights, architecture, and core usage information visible—unless you’re truly open source, in which case the Commission’s guidelines say you may duck some rules, but only if you’re not just using ‘open’ as marketing wallpaper. As reported by EUNews and DLA Piper’s July guidance analysis, the model providers missing the market deadline can’t sneak through a compliance loophole, and those struggling with obligations are told: ‘talk to the AI Office, or risk exposure when enforcement hits full speed in 2026.’

That date—August 2, 2026—is seared into the industry psyche: that’s when the web of high-risk AI obligations (think biometrics, infrastructure protection, CV-screening tools) lands in full force. But Europe’s biggest anxiety right now is the AI Liability Directive being possibly shelved, as noted in a European Parliament study on July 24. That creates a regulatory vacuum—a lawyer’s paradise and a CEO’s migraine.

Yet there’s a paradox: companies rushing to sign up for the Commission’s GPAI Code of Conduct are finding, to their surprise, that regulatory certainty is actually fueling innovation, not blocking it. As politicians like Brando Benifei and Michael McNamara just emphasized, there’s a new global race—not only for compliance, but for reputational advantage. The lesson of GDPR is hyper-relevant: this time, the EU’s hand might be even heavier, and the ripples that surfaced with AI in Brazil and beyond are only starting to spread.

So here’s the million-euro question: Is your AI ready? Or are you about to learn the hard way what European “trustworthy AI” really means? Thanks for tuning in—don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

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By now, if you’re building or deploying General-Purpose AI in Europe, congratulations—or perhaps, commiserations—you’re living history. Today marks the pivotal moment: the most sweeping obligations of the EU Artificial Intelligence Act come alive. No more hiding behind “waiting for guidance” memos; the clock struck August 2nd, 2025, and General-Purpose AI providers are now on the legal hook. Industry’s last-ditch calls for delay? Flatly rejected by the European Commission, whose stance could best be summarized as channeling Ursula von der Leyen: “Europe sets the pace, not the pause,” as recently reported by Nemko Digital.

Let’s be frank. The AI Act is not just a dense regulatory tome—it’s the blueprint for the continent’s tech renaissance, and, frankly, a global compliance barometer. Brussels is betting big on regulatory clarity: predictable planning, strict documentation, and—here’s the twist—a direct invitation for innovation. Some, like the Nemko Digital team, call it the “regulatory certainty paradox.” More rules, they argue, should equal less creativity. In the EU, they’re discovering the opposite: innovation is accelerating because, for the first time, risk and compliance have a set of instructions—no creative reading required.

For all the buzz, the General-Purpose AI Code of Practice—endorsed in July by Parliament co-chairs Brando Benifei and Michael McNamara—is shaking up how giants like Google and Microsoft enter the EU market. Early signers gain reputational capital and buy crucial goodwill with regulators. Miss out and you’re not just explaining compliance, you’re under the magnifying glass of the new AI Office, likely facing extra scrutiny or even potential fines.

But let’s not gloss over the messy bits. The European Parliament’s recent study flagged a crisis: the possible withdrawal of the AI Liability Directive, threatening a regulatory vacuum just as these new rules go online. Now, member states like Germany and Italy are sketching their own AI regulations. Without quick consolidation, Europe risks the regulatory fragmentation nightmare that nearly derailed the old GDPR.

What does this all mean for the average AI innovator? As of today, if you are putting a new model on the European market, publishing a detailed summary of your training data is mandatory—“sufficient detail,” as dictated by the EU Commission’s July guidelines, is now your north star. You’re expected to not just sign the Code of Practice, but to truly live it: from safety frameworks and serious incident reporting to copyright hygiene that passes muster with EU law. For those deploying high-risk models, the grace period is shorter than you think, as oversight ramps up toward August 2026.

The message is clear: European tech policy is no longer just about red tape, it’s about building trustworthy, rights-respecting AI with compliance as a feature, not a bug. Thanks for tuning in to this deep dive into the brave new world of AI regulation, and if you like what you’ve heard, don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

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Today isn't just another day in the European regulatory calendar—it's a seismic mark on the roadmap of artificial intelligence. As of August 2, 2025, the European Union AI Act enters its second phase, triggering a host of new obligations for anyone building, adapting, or selling general-purpose AI—otherwise known as GPAI—within the Union’s formidable market. Listeners, this isn’t just policy theater. It’s the world’s most ambitious leap toward governing the future of code, cognition, and commerce.

Let’s dispense with hand-waving and go straight to brass tacks. The GPAI model providers—those luminaries engineering large language models like GPT-4 and Gemini—are now staring down a battery of obligations. Think transparency filings, copyright vetting, and systemic risk management—because, as the Commission’s newly minted Guidelines declare, models capable of serious downstream impact demand serious oversight. For the uninitiated, the Commission defines “systemic risk” in pure computational horsepower: if your training run blows past 10^25 floating-point operations, you’re in the regulatory big leagues. Accordingly, companies have to assess and mitigate everything from algorithmic bias to misuse scenarios, all the while logging serious incidents and safeguarding their infrastructure like digital Fort Knox.

A highlight this week: the AI Office’s Code of Practice for General-Purpose AI is newly finalized. While voluntary, the code offers what Brussels bureaucrats call “presumption of conformity.” Translation: follow the code, and you’re presumed compliant—legal ambiguity evaporates, administrative headaches abate. The three chapters—transparency, copyright, and safety/security—outline everything from pre-market data disclosures to post-market monitoring. Sound dry? It’s actually the closest thing the sector has to an international AI safety playbook. Yet, compliance isn’t a paint-by-numbers affair. Meta just made headlines for refusing to sign the Code of Practice. Why? Because real compliance means real scrutiny, and not every developer wants to upend R&D pipelines for Brussels’ blessing.

But beyond corporate politicking, penalties now loom large. Authorities can now levy fines for non-compliance. Enforcement powers will get sharper still come August 2026, with provisions for systemic-risk models growing more muscular. The intent is unmistakable: prevent unmonitored models from rewriting reality—or, worse, democratising the tools for cyberattacks or automated disinformation.

The world is watching, from Washington to Shenzhen. Will the EU’s governance-by-risk-category approach become a global template, or just a bureaucratic sandpit? Either way, today’s phase change is a wake-up call: Europe plans to pilot the ethics and safety of the world’s most powerful algorithms—and in doing so, it’s reshaping the very substrate of the information age.

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Let’s not sugarcoat it—the past week in Brussels was electric, and not just because of a certain heatwave. The European Union’s Artificial Intelligence Act, the now-world-famous EU AI Act, is moving from high theory to hard enforcement, and it’s already remapping how technologists, policymakers, and global corporations think about intelligence in silicon. Two days from now, on August 2nd, the most consequential tranche of the Act’s requirements goes live, targeting general-purpose AI models—think the ones that power language assistants, creative generators, and much of Europe’s digital infrastructure. In the weeks leading up to this, the European Commission pulled no punches. Ursula von der Leyen doubled down on the continent’s ambition to be the global destination for “trustworthy AI,” unveiling the €200 billion InvestAI initiative plus a fresh €20 billion fund for gigafactories designed to build out Europe’s AI backbone.

The recent publication of the General-Purpose AI Code of Practice on July 10th sent a shockwave through boardrooms and engineering hubs from Helsinki to Barcelona. This code, co-developed by a handpicked cohort of experts and 1000-plus stakeholders, landed after months of fractious negotiation. Its central message: if you’re scaling or selling sophisticated AI in Europe, transparency, copyright diligence, and risk mitigation are no longer optional—they’re your new passport to the single market. The Commission dismissed all calls for a delay; there’s no "stop the clock.” Compliance starts now, not after the next funding round or product launch.

But the drama doesn’t end there. Back in February, chaos erupted when the draft AI Liability Directive was pulled amid furious debates over core liability issues. So, while the AI Act defines the tech rules of the road, legal accountability for AI-based harm remains a patchwork—an unsettling wild card for major players and start-ups alike.

If you want detail, look to France’s CNIL and their June guidance. They carved “legitimate interest” into GDPR compliance for AI, giving the French regulatory voice outsized heft in the ongoing harmonization of privacy standards across the Union.

Governance, too, is on fast-forward. Sixty independent scientists are now embedded as the AI Scientific Panel, quietly calibrating how models are classified and how “systemic risk” ought to be taxed and tamed. Their technical advice is rapidly becoming doctrine for future tweaks to the law.

Not everybody is thrilled, of course. Industry lobbies have argued that the EU’s prescriptive risk-based regime could push innovation elsewhere—London, perhaps, where Peter Kyle’s Regulatory Innovation Office touts a more agile, innovation-friendly alternative. Yet here in the EU, as of this week, the reality is set. Hefty fines—up to 7% of global turnover—back up these new directives.

Listeners, the AI Act is more than a policy experiment. It’s a stress test of Europe’s political will and technological prowess. Will the gamble pay off? For now, every AI engineer, compliance officer, and political lobbyist in Europe is on red alert.

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Have you felt it, too? That faint tremor running through every boardroom and startup, from Lisbon to Helsinki, as we approach the next milestone in the EU Artificial Intelligence Act saga? We’ve sprinted past speculation—now, as July 26, 2025, dawns, we’re staring at regulatory reality. The long-anticipated second phase of the EU AI Act hits in less than a week, with August 2nd the date circled in red on every compliance officer's calendar. Notably, this phase brings the first legally binding obligations for providers of general-purpose AI models—think of the likes of OpenAI or Mistral, but with strict European guardrails.

This is the moment Ursula von der Leyen, President of the European Commission, seemed to foreshadow in February when she unleashed the InvestAI initiative, a €200 billion bet to cement Europe as an "AI continent." Sure, the PR shine is dazzling, but under the glossy surface there’s a slog of bureaucracy and multi-stakeholder bickering. Over a thousand voices—industry, academia, civil society—clashed and finally hammered out the General-Purpose AI Code of Practice, submitted to the European Commission just weeks ago.

Why all the fuss over this so-called Code? It’s the cheat sheet, the Copilot, for every entity wrangling with the new regime, wrestling with transparency mandates, copyright headaches, and the ever-elusive specter of “systemic risk.” The Code is voluntary, for now, but don’t kid yourself: Brussels expects it to shape best practices and spark a compliance arms race. And, to the chagrin of lobbyists fishing for delays, the Commission rejected calls to “stop the clock.” From August 2, there’s no more grace period. The AI Act’s teeth are fully bared.

But the Act doesn’t just slam the brakes on dystopic AIs. It empowers the European AI Office, tasks a new Scientific Panel with evidence-based oversight, and requires each member state to stand up a conformity authority—think AI police for the digital realm. Fines? They bite hard: up to €35 million or 7% of global turnover if you deploy a prohibited system.

Meanwhile, debate simmers over the abandoned AI Liability Directive—a sign that harmonizing digital accountability remains the trickiest Gordian knot of all. But don’t overlook this irony: by codifying risks and thresholds, the EU’s hard rules have paradoxically driven a burst of regulatory creativity outside the EU. The UK’s Peter Kyle is pushing the Regulatory Innovation Office’s cross-jurisdictional collaboration, seeking a lighter touch, more “sandbox” than command-and-control.

So what’s next for AI in Europe and beyond? Watch the standard-setters tussle. Expect the market to stratify—major AI players compelled to disclose, mitigate, and sometimes reengineer. For AI startups dreaming of exponential scale, the new gospel is risk literacy and compliance by design. The era where ‘move fast and break things’ ruled tech is well and truly sunsetted, at least on this side of the Channel.

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Blink and the EU AI Act’s next compliance deadline is on your doorstep—August 2, 2025, isn’t just a date, it’s a tectonic shift for anyone touching artificial intelligence in Europe. Picture it: Ursula von der Leyen in Brussels, championing “InvestAI” to funnel €200 billion into Europe’s AI future, while, just days ago, the final General Purpose AI Code of Practice landed on the desks of stakeholders across the continent. The mood? Nervous, ambitious, and very much under pressure.

Let’s cut straight to the chase—this is the world’s first comprehensive legal framework for regulating AI, and it’s poised to recode how companies everywhere build, scale, and deploy AI systems. The Commission has drawn a bright line: there will be no “stop the clock,” no gentle handbrake for last-minute compliance. This, despite Airbus, ASML, and Mistral’s CEOs practically pleading for a two-year pause, warning that the rules are so intricate they might strangle innovation before it flourishes. But Brussels is immovable. As a Commission spokesperson quipped at the July 4th press conference, “We have legal deadlines established in a legal text.” Translation: adapt or step aside.

From August onwards, if you’re offering or developing general purpose AI—think OpenAI’s GPT, Google’s Gemini, or Europe’s own Aleph Alpha—transparency and safety are no longer nice-to-haves. Documentation requirements, copyright clarity, risk mitigation, deepfake labeling—these obligations are spelled out in exquisite legal detail and will become enforceable by 2026 for new models. For today’s AI titans, 2027 is the real D-Day. Non-compliance? Stiff fines up to 7% of global revenue, which means nobody can afford to coast.

Techies might appreciate that the regulation’s risk-based system reflects a distinctly European vision of “trustworthy AI”—human rights at the core, and not just lip service. That includes outlawing predictive policing algorithms, indiscriminate biometric scraping, and emotion detection in workplaces or policing contexts. Critically, the Commission’s new 60-member AI Scientific Panel is overseeing systemic risk, model classification, and technical compliance, driving consultation with actual scientists, not just politicians.

What about the rest of the globe? This is regulatory extraterritoriality in action. Where Brussels goes, others follow—like New York’s privacy laws in the 2010s, only faster and with higher stakes. If you’re coding from San Francisco or Singapore but serving EU markets, welcome to the world’s most ambitious sandbox.

The upshot? For leaders in AI, the message has never been clearer: rethink your strategy, rewrite your documentation, and get those compliance teams in gear—or risk becoming a cautionary tale when the fines start rolling.

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Welcome to the fast lane of European AI regulation—no seat belts required, unless you count the dozens of legal provisions about to reshape the way we build and deploy artificial intelligence. As I’m recording this, just days away from the August 2, 2025, enforcement milestone, there’s a distinctly charged air. The EU AI Act, years in the making, isn’t being delayed—not for Airbus, not for ASML, not even after a who’s-who of industry leaders sent panicked open letters to Ursula von der Leyen and the European Commission, pleading for a pause. The Commission’s answer? A polite but ironclad “no.” The regulatory Ragnarok is happening as scheduled.

Let’s cut straight to the core: the EU AI Act is the world’s first comprehensive legal framework governing the use of artificial intelligence. Its risk-based model isn’t just a talking point—they’ve already made certain uses illegal, from biometric categorization based on sensitive data to emotion recognition in the workplace, and of course, manipulative systems that influence behavior unnoticed. Those rules have been in effect since February.

Now, as of this August, new obligations kick in for providers of general-purpose AI models—think foundational models like GPT-style large language models, image generators, and more. The General-Purpose AI Code of Practice, published July 10, lays out the voluntary gold standard for compliance. There’s a carrot here: less paperwork and more legal certainty for organizations who sign on. Voluntary, yes—but ignore it at your peril, given the risk of crushing fines up to 35 million euros or 7% of global turnover.

The Commission has been busy clarifying thresholds, responsibility-sharing for upstream versus downstream actors, and handling those labyrinthine integration and modification scenarios. The logic is simple: modify a model with significant new compute power? Congratulations, you inherit all compliance responsibility. And if your model is open-source, you’re only exempt if there’s no money changing hands and the model isn’t a systemic risk. No free passes for the most potent systems, open-source or not.

To smooth the rollout, the AI Office and the European Artificial Intelligence Board have spun out guidelines, FAQs, and the newly opened AI Service Desk for support. France’s Mistral, Germany’s Federal Network Agency, and hundreds of stakeholders across academia, business, and civil society have their fingerprints on the rules. But be prepared: initial confusion is inevitable. Early enforcement will be “graduated,” with guidance and consultation—until August 2027, when the Act’s teeth come out for all, including high-risk systems.

What does it mean for you? Increased trust, more visible transparency—chatbots have to disclose they’re bots, deep fakes need obvious labels, and every high-risk system comes under the microscope. Europe is betting that by dictating terms to the world’s biggest AI players, it will shape what’s next. Like it or not, the future of AI is being drawn up in Brussels—and compliance is mandatory, not optional.

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