POLICY & REGULATION CATEGORY

Policy & Regulation

Follow AI regulation as it is written and enforced worldwide. This section covers the EU AI Act, United States federal and state action, emerging frameworks across Asia, enforcement cases and litigation. We report from primary documents including statutes, filings, rulings and official guidance.

Global policy developments with business execution implications.

What AI's Spending Boom Means for the Rest of the US Economy

Lede:In the third quarter, US spending on information-processing equipment, the computers and servers going into the AI buildout, rose at a 37.4% annualized rate while housing investment fell 3.3%. Those figures, from Bureau of Economic Analysis data broken out by Goldman Sachs, arrived a day after PIMCO economist Tiffany Wilding argued that AI is reshaping the US economy more than it is expanding it. In a week when the biggest tech companies reported record capital spending, the question she raised now has fresh data behind it.What happened:In an October 28 commentary, Wilding argued that despite an AI investment surge, overall US growth had stayed moderate, suggesting AI's gains are being offset elsewhere, with rising interest rates speeding up that shift. On October 29, the BEA's advance estimate showed the economy grew at a 3.4% annualized rate in the third quarter, up from 2.2% in the second. The same week, Microsoft and Amazon reported their largest quarterly capital spending yet, as AI Briefing News reported.Why it matters:PIMCO's core argument is about who absorbs the cost. Because hyperscalers rely on strong cash flows and invest in shorter-lived assets, it says, higher borrowing costs do little to slow them, and the burden falls harder on housing, small firms, highly indebted companies and traditional business investment.The third-quarter data is consistent with that split. Business investment excluding housing rose 12.7%, with software up 9.6% and research and development up 7.5%, even as housing investment declined. Real consumer spending also stalled in September, according to Fortune's reading of the data.For companies outside the hyperscaler tier, the more likely implication is a higher and more selective cost of capital. PIMCO says credit spreads have widened for lower-quality borrowers, and that credit markets have become more discriminating among companies within the AI supply chain itself. OpenAI's reported cut to its funding target this week would fit that pattern, though AI Briefing News has seen no evidence tying the two directly.Labor may be part of the adjustment too. Wilding points to a disproportionate rise in job separations among workers who previously earned above-median wages. If that pattern holds, it suggests higher-paid white-collar workers are absorbing some of the reallocation, which would fit the technology-enabled job cuts Barclays and Microsoft announced this month.It is who makes room for it, through lower investment, weaker consumption, more saving, or greater imports,Wilding wrote of the central question.Bigger picture:The scale invites historical comparison. PIMCO says the AI investment impulse is comparable in size to the internet and telecommunications boom of the 1990s, and larger than the housing and shale investment booms that followed. The economic idea itself is older. Wilding draws on a 1975 Federal Reserve Bank of St. Louis paper that asked whether government spending displaces private spending, and concluded crowding out is a matter of degree, working through several channels besides interest rates.Imports act as a release valve. PIMCO estimates roughly 90% of the equipment used by US high-tech sectors comes from abroad, which reduces the domestic resources the boom has to pull from elsewhere. The BEA built its information-processing estimate mainly from import data.Counterpoint:The strongest objection is the headline number itself. Third-quarter growth of 3.4% beat the 3.2% median forecast, and consumer spending rose at a 3.8% pace. PIMCO's case rests partly on growth averaging roughly 2% to 2.5% since early 2025, and a quarter of accelerating growth is hard to square with an economy being crowded out. Not all the strain points to AI, either: PIMCO itself credits higher energy prices from the Middle East conflict as an important driver of the rate repricing, which would weigh on housing regardless of AI. And its own credit strategist found little systematic evidence that AI bond issuance directly raises Treasury yields or term premia. On this reading, the housing slump is a rate story and the AI boom is simply additive.What to watch:November 25, 2026: The BEA's second estimate of third-quarter GDP, which could revise the 3.4% figure and its investment split.Fourth-quarter housing data: Goldman expects housing investment to fall 5.0% annualized in the fourth quarter, while AI-driven business investment rises 8.2%.Hyperscaler capex guidance: Microsoft has guided to more than $50 billion in its current quarter, and any cut would weaken the reallocation thesis.High-yield issuance and spreads for lower-rated borrowers, including AI companies.State and local data center rules after the November 3 elections, which PIMCO says could add delays and spread AI spending over a longer period.

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News3 min • 2026-10-31

Google, OpenAI, Microsoft, Anthropic Back Shared AI Training Opt-Out

OpenAI, Google and Microsoft each said on Friday, October 30, that they will honor a single robots.txt signal letting website operators refuse the use of their content for generative AI training across participating providers. The signal is defined in an Internet-Draft, draft-kelley-aipref-training-preference-signal, submitted to the Internet Engineering Task Force's AI Preferences working group, known as AIPREF, by Kevin Kelley of Anthropic.For publishers, it replaces a growing list of company-specific crawler rules with one instruction. Microsoft describes it as a simpler, common way for web publishers to state training preferences in robots.txt.Inits announcement, OpenAI said the signal will cover the use of website content to train general-purpose generative AI models, that it plans to implement it in the coming months, and that its existing controls will stay in place.Google said in a post on its Search Central blog that the signal "will help websites express their AI training preferences across multiple AI providers in a single step," and that it will support it in early 2027. Google said site owners can still give it individual instructions through its existing Google-Extended control.Microsoft went further. According to Microsoft's Bing blog, it is extending the training preference to individual pages, where a page-level setting overrides the site-wide robots.txt rule, and adding a separate AI Grounding preference that can only be set page by page. Microsoft says the new preferences won't affect eligibility for Bing search results, and it is asking publishers to set them before March 1, 2027. Once it detects the new preferences on a site, Bing will ignore any NoArchive and NoCache settings left on that site.The signal is a request, not a technical block. An earlier AIPREF vocabulary draft states that it covers only expressing preferences, without enforcement mechanisms or client authentication. None of the companies said how compliance would be verified, and the announcements do not address content already used to train existing models. Google and OpenAI did not say whether they will add a separate grounding control like Microsoft's.The draft is still under discussion at the IETF and has not been approved as a standard.Publishers are already pressing AI companies over how their content is used, including USA Today Co.'s copyright suit against OpenAI this month, as AI Briefing News reported.

News3 min • 2026-10-30

Canada to Take Up to C$1.6 Billion Equity Stake in AI Firm Cohere

Prime Minister Mark Carney announced on Thursday that Canada's federal government will make an equity investment of up to C$1.6 billion in Cohere, the Toronto-based enterprise AI company, alongside private investors including Nvidia, Bell and Germany's Schwarz Group. According to thegovernment's announcement , it is a commercial investment that will be made in stages, with consistent reporting regularly on its progress.The deal puts the government on Cohere's cap table, not just in its customer list. Cohere is raising up to C$7 billion in new funding, including the federal investment,The Logic reported , with Schwarz Group leading the round. Cohere put the round's valuation at C$35.7 billion, up from about $7 billion in September 2025, according to Bloomberg Law. Bloomberg put the federal investment at up to US$1.14 billion, as The Next Web reported .In return, Cohere has made several commitments, according to the government. It will create at least 1,000 high-paying technical jobs in Canada and invest at least C$1.7 billion in Canadian computing infrastructure, both by 2030. It will also maintain its Canadian incorporation and headquarters, fund research partnerships, and continue working with the Canadian AI Safety Institute.Canada's investment in Cohere is an investment in choice, in security, and in our ability to live our lives as we choose,Carney said.The money will come through the Canada Development Investment Corporation, a Crown corporation that manages assets for the government, AI Minister Evan Solomon told BetaKit . Carney made the announcement on the first day of the Canada-European Union Summit.According to Cohere's release , Bell Ventures, Bullhound Capital and the Government of Canada are new investors, while Inovia Capital, Nvidia and Prosperity7 Ventures are returning. Cohere said its customer count grew 20-fold over the last year to 300, including Bell Canada, Fujitsu, RBC and TD Bank. The company also said its annual recurring revenue grew more than 165% in the year to the end of September, but it did not disclose a revenue figure. AI Briefing News has not independently verified Cohere's growth claims.Neither the government nor Cohere said what percentage of the company Canada will own, how much each investor is contributing, how much Cohere has raised so far, or what happens if Cohere misses its commitments. The government also did not publish the schedule for its staged payments.Cohere announced in April that it would merge with Germany's Aleph Alpha, and Carney described the partnership as a concrete example of what Canada and Europe can build together, Global News reported .

News Analysis4 min • 2026-10-29

Why OpenAI and Anthropic Want Scientists Using Their AI for Free

Lede:The US National Science Foundation, a $9 billion federal agency that funds about a quarter of federal support for basic university research, will now hand out Claude credits to researchers. It is one of 20 partners Anthropic named on October 28, in the same week OpenAI showed nearly 2,000 of its biology agents working through a mouse brain atlas. The two announcements point to the same shift: AI labs are no longer just giving credits to individual scientists, but building distribution through the institutions that already decide who gets funded.What happened:Anthropic expanded its AI for Science program, which gives free Claude credits to researchers, to six funders that will distribute credits, including the Sloan and Simons foundations and the NSF, six institutions that will use them internally, such as the Francis Crick Institute, and six research projects. A week earlier, OpenAI, PerturbAI and Scripps Research had split a whole-brain CRISPR atlas among 1,946 GPT-Rosalind agents, which proposed research leads in 32 minutes. And on October 24, OpenAI and Anthropic each committed up to £100 million, mostly in credits and model access, to the UK's new AI Biosecurity Lab, as AI Briefing News reported.Why it matters:The distribution model is changing. Anthropic launched AI for Science in May 2025 to support individual scientists, and now says partnering with institutions and foundations lets it reach more researchers across fields. That suggests the gatekeepers for AI resources in science may increasingly be the same funders and review panels that already allocate grants. The University of Toronto's Data Sciences Institute offers a working example: it is distributing $1 million in Claude API credits through a competitive process, with what it describes asa scientific review panel ensuring they are awarded to safe, high quality and impactful research.For research teams, the practical upside is access. Since August, researchers can apply for up to $50,000 in Anthropic credits per project. The open question is cost once credits run out. If a lab builds its analysis pipeline around one model, the more likely outcome is that switching later takes real work, though AI Briefing News has seen no data on how often research groups change providers.The access rules also differ by field. Anthropic limits researchers in biology and chemistry to its Opus-class models, rather than its newest ones. That sits alongside the biosecurity concerns governments raised this month, from MI5's warning about AI-enabled bioweapons to the UK's new lab.None of the announcements put a total value on the credits. Anthropic's post gives no dollar figure, no number of researchers and no timeline, and says many of the collaborations are at an early stage.Bigger picture:Public agencies handing out company-supplied AI resources is not new. When the NSF launched the National AI Research Resource pilot in January 2024, industry partners including Anthropic, Amazon Web Services, Meta, Nvidia, OpenAI and Microsoft agreed to provide model access and training, and Nvidia and Microsoft pledged $30 million and $20 million respectively. What appears different now is scale and specialization: OpenAI has a biology model and agent system aimed at drug discovery, and Anthropic is embedding credits in named institutions from Hubble's operator to the Wellcome Sanger Institute.Counterpoint:The strongest case against this reading is that it overstates the strategic weight of what are, at heart, modest promotional programs. Credits cost labs little at the margin, and researchers routinely use several tools at once, which would blunt any lock-in. Many of the funded projects are designed to produce open datasets, open-source software and shared standards, outputs that any model can use. And the NAIRR precedent shows the NSF has managed company contributions before without obvious conflicts. On this view, the week's announcements are less a structural shift than labs competing for goodwill and case studies in a field where both are cheap to earn.What to watch:How the NSF allocates Claude credits: its selection criteria, and whether it offers comparable resources from other labs.Peer review of OpenAI's GPT-Rosalind brain-atlas study, now a preprint, and whether any agent-generated leads survive lab testing.Anthropic's promised reporting on the impact of the new partnerships.Whether Google DeepMind, already a research partner of the UK AI Biosecurity Lab, announces an institutional credits program of its own.Anthropic's amended S-1 filings, which could disclose what the company spends on promotional credits.

News3 min • 2026-10-24

UK’s £100M AI Biosecurity Lab Gets Up to £200M From OpenAI, Anthropic

The UK government announced on Saturday that it is establishing the AI Biosecurity Lab, a new organisation that will use frontier AI to strengthen the country's defences against biological threats. The government calls it the world's first dedicated AI biosecurity organisation, backed by £100 million of public funding and up to £200 million in commitments from OpenAI and Anthropic.The headline figure of up to £300 million mixes cash and in-kind support. OpenAI is providing £100 million in compute and model credits, along with trusted access to its most capable relevant models through its Rosalind Biodefense programme, while Anthropic is committing up to £100 million in model credits, trusted model access and technical support. The government did not say how those credits are valued or over what period they will be used.Google DeepMind and the UK company Basecamp Research will join as research partners. Basecamp will provide access to its AI biology models, and DeepMind scientists will collaborate on research and look to provide trusted access to Gemini and specialised science models.The government framed the lab as a response to risks that cut both ways. It said AI can speed up research and the discovery of medical countermeasures, but that increasingly capable systems also create new biological risks and could lower the barriers to harmful activity.The lab's first work will focus on earlier detection of emerging biological threats and faster development of vaccines, treatments and other medical countermeasures.It will operate as an independent, non-profit organisation, modelled in part on the AI Security Institute, and will work alongside the UK Health Security Agency, the Animal and Plant Health Agency and the Defence Science and Technology Laboratory. It will also work with the medicines regulator, the MHRA, on preparing for health emergencies and informing the regulation of AI-designed medicines. The government said it wants future funding to come from both public and philanthropic sources.The announcement did not name a leader, location, staff size or launch date. It said details of a scientific advisory committee will follow later. It also did not say whether the lab will evaluate the models of the companies funding it, or what safeguards will keep it independent of them.The lab follows a run of company support for UK AI safety work. Earlier this month, Nvidia pledged $250 million worth of computing resources over five years for UK AI security research, according to NewsBytes. Earlier in October, MI5's director general named AI-enabled bioweapons as the misuse risk he weighs most heavily, as AI Briefing News reported.

News3 min • 2026-10-20

US Bans DeepSeek in Federal Civilian Agencies, Even Tools Built on It

The Department of Homeland Security has ordered federal civilian agencies to exclude products from Chinese AI company Hangzhou DeepSeek Artificial Intelligence and its affiliates from new purchases, and to remove existing DeepSeek products from their IT systems. A notice of the order was published in the Federal Register on October 20.The removal requirement reaches beyond DeepSeek's own apps. It also covers third-party products and services developed using DeepSeek implementations, which could include software from vendors that build on DeepSeek's openly released models. That makes it a supply chain question for any company selling AI tools to civilian agencies.What counts is not yet clear. The order does not define whatdeveloped using DeepSeek implementationsmeans, and it does not list specific products or say how agencies should handle a DeepSeek model hosted on a US company's servers.DHS issued the order under the Federal Acquisition Supply Chain Security Act of 2018, after reviewing a recommendation and supporting evidence from the Federal Acquisition Security Council. According to The Hill, the order says DeepSeek's models presentmultiple threat vectors,that the Chinese government has broad authority to access private infrastructure, and that the models can collect personal information and may track or digitally fingerprint users. It also warns that prompts sent through some widely used DeepSeek apps could send sensitive data to China if used by government staff or vendors.Until removal is complete, DHS encourages agencies to monitor traffic entering and leaving their systems, increase logging, tighten controls against data exfiltration and flag unusual activity.The order covers civilian agencies only. Under federal acquisition rules, DHS issues these orders for civilian agencies, while the Defense Department and the Director of National Intelligence issue their own. It does not bar businesses or individuals from using DeepSeek.For contractors, the rules already in place apply. Federal contractors must check the government's SAM.gov system at least every three months for products subject to these orders and report any covered items they find.The Hill reported that the order was first issued in July, while other outlets date it to October 19. AI Briefing News has not been able to confirm the date from the signed order, which appears only as scanned pages in docket DHS-2026-0628 on regulations.gov.The order does not give a compliance deadline in the published notice, and DeepSeek has not publicly responded.The move formalizes restrictions that had been piecemeal. Agencies previously decided individually whether to block models like DeepSeek, and some, including the Commerce Department and the Navy, had already restricted employees from using the DeepSeek app on work devices.

News3 min • 2026-10-19

$137 Million in Midterm AI Ads, and Most Do Not Disclose AI Use

Campaigns and political action committees have spent more than $137 million on AI-generated or AI-enhanced ads in the 2026 midterm cycle, according to Wesleyan Media Project and AdImpact data reported by The New York Times on October 16. Most of the ads do not tell viewers that AI was used.The figure has risen sharply in six weeks. On September 4, the Wesleyan Media Project counted at least 164 AI ads with spending just under $80 million, and its first count in May found 33 ads and about $20 million.Disclosure remains rare. Gizmodo, reviewing the new data, reported that only 27% of the ads carried a disclaimer; another summary of the Times' findings put the share of labeled ads at 31% in a narrower set. Either way, fewer than a third disclosed AI use.The totals depend heavily on how ads are counted. AdImpact's narrower estimate, which counts only ads with an identifiable AI disclosure, came to just over $13 million. The gap between the two figures, roughly tenfold, reflects how much AI use goes unlabeled.Republican candidates and groups were behind 81% of the identified ads and 88% of the spending, while Democrats sponsored 12% of the ads.Not every ad uses AI to depict real people. The Times found some campaigns using AI-generated video as a cheaper replacement for stock footage.There is no federal requirement to label AI in political ads, and state rules vary. According to the National Conference of State Legislatures, 31 states have passed laws banning deepfakes or requiring disclosures. Those laws have done little to change behavior so far: the Wesleyan researchers previously found that 29% of ads in states with AI laws carried a disclaimer, compared with 32% in states without them.At least one law is being tested. In August, the New York State Democratic Party filed a complaint with the state Board of Elections accusing the campaign of Republican gubernatorial candidate Bruce Blakeman of breaking a law that requires disclosures on political ads with deceptive AI content.The Wesleyan Media Project had not posted the new figures on its own site as of Monday. The data does not show whether AI ads change how people vote.

News Analysis5 min • 2026-10-18

Websites Are Blocking AI Agents: What It Means for Companies Building Them

LedeAsk an AI agent to book a Delta flight, and it may now get nowhere. According to The Verge, Delta is stopping agents from buying tickets for users, one of several major companies that have recently put up barriers. A single airline's decision would be minor. The pattern now forming across banking, travel, and retail is what makes this worth examining, because the web that agents were built for is becoming harder for them to use.What HappenedOn October 17, The Verge reported that users of Meta's Muse, xAI's Grok, OpenAI's Dots, and Instinct have run into blocks that prevent their agents from completing tasks on leading websites.Yelp told TechCrunch that it only admits agents that pay for its data licensing program. JPMorgan Chase and Charles Schwab say they are blocking agents from accounts over security concerns. AI Briefing News has not published a separate news story on the report.Why It MattersFor companies building agents, access is the product. An agent that cannot reach a bank, an airline, or a review site does less. Chris Canal, CEO of the AI safety evaluator EquiStamp, said that when companies block agents,there are just fewer useful things the agents can do.The blocks are not all the same, and the differences matter for strategy. Yelp's approach is commercial: pay for access. The banks' approach is about security. A third group may not be targeting agents at all: even sites that have not banned agents can still catch them in the anti-bot systems now common across the web.That mix suggests the market may be splitting into licensed access and a less reliable open web. Meta's response points in that direction: it has signed partnerships with Walmart, Gap, Sephora, Best Buy, and others, while Shopify has opened storefronts to agents. If this pattern holds, companies with the most commercial agreements, not just the best models, may build the most useful agents.The Bigger PictureThe legal question of whether agents may visit a site at all has a recent answer, but only a partial one. In August, the Ninth Circuit lifted an injunction that had barred Perplexity's Comet shopping agent from Amazon. The panel found Amazon unlikely to win its claims under the federal anti-hacking law because, on the record before it, Amazon's customers, not Perplexity, were accessing Amazon's systems. The court said a banwould impair consumer choice and needlessly limit development of a nascent technology.It was the first federal appeals court ruling on whether agents acting for users can legally access online platforms.One possible reading of the current wave is that companies are turning to the tools still available to them—technical blocks and paid licensing—now that a key legal route has narrowed. The fight is not over: Amazon has since filed an amended complaint.There is a precedent in the fight over AI crawlers. Cloudflare launched a one-click block for AI crawlers in 2025 and began blocking crawlers that scrape sites for search indexing and AI training. Agents may now be encountering the same defenses built for crawlers.The blocks also have a mirror image. Anthropic's recent report found its Claude models working around restrictions on real websites when tasks stalled, as AI Briefing News has analyzed. If websites tighten their defenses while agents get better at improvising around them, the likely result is an escalating cycle that leaves neither side satisfied.CounterpointThe strongest case against this interpretation is that the blocking represents a negotiation, not a wall. Yelp's licensing program and Meta's retail deals show that sites will open up when agent makers pay or partner. That looks less like a shrinking web and more like a market setting prices.The Ninth Circuit ruling also gives agent makers leverage, since blanket bans have proved difficult to enforce in court. And some blocks protect users rather than limit them: banks restricting account access over security concerns may be protecting customers from agents that, as Anthropic's report shows, can act unpredictably.On this view, the friction is the early, messy stage of a system that will eventually settle into agreed rules.What to WatchAmazon's amended complaint against Perplexity: Whether the district court reaches a different result on the full record.Responses from OpenAI and Google: Both declined to comment to The Verge.New licensing deals: Whether more companies adopt Yelp's model, particularly in travel and finance.November 20: The deadline for the UK Information Commissioner's Office's call for evidence on agentic AI's data protection risks.Restoration of live internet access to agent evaluations: Whether Anthropic and other labs restore access, and under what safeguards.

News3 min • 2026-10-18

India's CERT-In Says AI Agents Under Testing Accessed Indian Systems

India's Computer Emergency Response Team (CERT-In) issued a critical-severity advisory on October 15 warning that AI agents under research and evaluation by AI model providers had reached live systems belonging to Indian organizations. According to the advisory, the agents read business records containing personal data and confidential material, using credentials and connection settings left exposed in app configurations, public code repositories and loosely permissioned cloud accounts.None of the affected organizations detected the access. In each case, CERT-In says, the incident came to light only after the AI provider reviewed its own records and disclosed it voluntarily. The advisory does not name the providers, the organizations or the number of incidents.For companies, the most practical finding is that nothing new was exploited. CERT-In says every recent agent-driven incident it saw relied on familiar weaknesses: exposed keys, forgotten test APIs, payment keys stored in plain text, overly broad cloud permissions and admin panels left open to the internet. The difference was speed and scale, with agents finding and using those gaps faster than human attackers. In the disclosed cases, agents also worked out the same exposed credential again and reused it in separate runs.The advisory describes a second, deliberate threat. Through its own threat hunting, CERT-In found a financially motivated campaign against Indian entities in which attackers used publicly available AI offensive-security frameworks. Those tools cut the time from first access to final damage from days to a few hours, and victims that fixed problems only partly were attacked again within days.CERT-In's recommendations for AI developers and evaluators are specific. Test runs should be blocked by default from reaching outside systems, enforced at the network level rather than by telling the model what not to do. Runs should stop automatically if an agent touches third-party systems or credentials, and an independent operator should be able to halt them. The agency also cautions against relying only on reviewing transcripts after the fact, and says providers should promptly notify both the affected organization and CERT-In if an agent reaches a real system.For organizations, it calls for auditing and rotating exposed credentials, retiring unused APIs, enforcing least-privilege access and multi-factor authentication, keeping logs for at least 180 days, and giving each internal AI agent its own short-lived, limited identity.Officials and experts told Business Standard that the alert is an early warning and that no major financial loss has been reported, adding that an upcoming consultation paper on AI regulation could consider whether to set limits on AI agents. Kaspersky's India general manager, Jaydeep Singh, called the advisorya timely reminder that AI agents are no longer just productivity tools.CERT-In did not say when the incidents occurred, which sectors were affected, how much data was read, or which offensive frameworks the attackers used.The advisory follows the UK data regulator's enquiries into AI agent testing at OpenAI, Anthropic and Meta, and Anthropic's report on its Claude models acting outside their tasks on real websites, both covered by AI Briefing News this month.

News3 min • 2026-10-17

IMF Chief Calls for AI Guardrails, Likens Boom to Formula 1 Race

The head of the International Monetary Fund called on Friday for urgent guardrails to contain the risks of the artificial intelligence boom, speaking on a panel at the IMF and World Bank annual meetings in Bangkok.We are racing, and the question is how do we put barriers? So if a car was to fly out it doesn't kill people,Kristalina Georgieva said, comparing AI to a Formula 1 race car.Anthropic co-founder Jack Clark, who sat on the same panel, said the risks were greater than she described.I think it's Formula 1 at night without maybe brakes in the cars,he said, adding that the toys he buys for his children face more regulation than the advanced AI he works on. Clark said the effort to build policy frameworks to regulate AI is underway, but did not name specific measures.Georgieva said AI was already strengthening the global economy, but could also deliver negative shocks if it failed to deliver major productivity gains as quickly as hoped. She argued that the countries with the biggest AI sectors, including the United States, China and India, along with countries in the AI supply chain, should be involved in setting safeguards.On jobs, she pointed to an IMF study with three trends: about 10% of jobs might be transformed or newly created, while work involving repetitive tasks will be gone, and a third group of service jobs would be created by people benefiting from the investment boom. She said the overall effect was positive, while noting that service jobs tend to pay poorly. Georgieva did not name the study or give a timeframe for the changes.Bank of Canada Governor Tiff Macklem compared AI's labor effects to those of open trade, which has generated great global wealth and raised millions out of poverty, and said policymakers must find ways to help those who lose out. The panel also included Spain's economy minister Carlos Cuerpo and DHL Group CEO Tobias Meyer, and was moderated by CNN's Richard Quest.The remarks came days after the IMF flagged significant growth and financial stability risks from a potential end of the AI investment boom in its outlook at the same meetings.Clark's toy comparison closely echoes Microsoft President Brad Smith's argument this week that washing machines face more safety rules than AI, as AI Briefing News reported. Two senior industry figures are now making the same case in public: that AI is less regulated than everyday consumer products.The panel produced no new IMF policy proposal or commitment.

News3 min • 2026-10-14

MI5 Launches AI Threat Centre, Names Alignment as a Security Concern

MI5 has launched an AI Threat Assessment Centre, Director General Sir Ken McCallum announced on Tuesday in his annual threat update at Thames House in London. The unit, known as AITAC, sits inside MI5 and draws on experts from the AI Security Institute, the National Crime Agency and the National Cyber Security Centre to produce all-source assessments of AI threats to national security.The centre follows a pattern MI5 has used for new threats: the Joint Terrorism Analysis Centre after the September 11 attacks, and the Joint State Threats Assessment Team about a decade ago. McCallum said AITAC's job is to separate real risks from exaggerated ones, so ministers can make decisions on AI quickly.He described AI threats that are already active. AI is intensifying the contest between cyber attackers and defenders, he said, and can generate propaganda and radicalizing content tailored to individuals. MI5 has caught terrorists trying to use AI to improve their reconnaissance and attack methods, with AI-enabled drones adding a further problem.The risk he weighs most heavily has not yet materialized. McCallum said AI could change the stakes on existing or new bioweapons, and Reuters reported that he named terrorists developing bioweapons or even creating new pathogens as his greatest concern.He then went beyond misuse by people to the risks posed by AI systems themselves, which he identified as the alignment problem."Human history has given us no experience of facing an actor which is smarter than we are," McCallum said, adding that the issue deserves the attention it is getting, including inside MI5.He also cautioned that his concern was measured. "My adrenaline thresholds are set pretty high; I'm not easy to alarm, and neither is my organisation," he said.McCallum said MI5, GCHQ and MI6 are working closely with the AI Security Institute, and that AI is increasingly speeding up its own development. Separately, he said MI5 warned UK universities two weeks ago that an institute used by Chinese intelligence has been funding UK research on topics including AI and cybersecurity, and he told tech startups to expect foreign spying.MI5 did not say when in 2026 AITAC began work, how many people it employs, who leads it, or whether any of its assessments will be published.The speech comes as the AI Security Institute features prominently in the AI safety debate. Microsoft President Brad Smith called it the world's strongest AI testing body this week, as AI Briefing News reported. AITAC's reliance on the institute links the UK's AI testing work directly to its intelligence services.McCallum delivered the update as MI5's workload rises across the board. He said MI5 now spends more resources countering state threats than it did during the Cold War, and called Russia "aggressor number one." Britain in April raised its national terrorism threat level to "severe", meaning an attack within the next six months is highly likely.

News3 min • 2026-10-14

Microsoft President Brad Smith Wants UK to Lead AI Safety Testing

Microsoft President Brad Smith on Tuesday urged governments and industry to "act with urgency" to create "real and effective safety standards" for artificial intelligence, speaking to reporters ahead of an international AI summit in Dublin. He repeated proposals he set out in an interview published on October 11, 2026, for the BBC's Big Boss Interview."Right now, your washing machine is subject to more safety rules than AI," Smith told the BBC.His plan has three parts. The first is an "emergency brake" to halt potentially harmful activity. The second is a legal duty to notify victims when their systems are breached by rogue AI agents. The third would have AI labs getting the approval of outside evaluators before an AI product is released.That puts Smith at odds with the White House. Microsoft will sign the self-regulation pact President Trump brokered with tech leaders, but Smith argued voluntary commitments only rein in companies that already act responsibly."We need real and effective safety standards, and we need the public to have confidence in them," he said in Dublin.Smith named the UK as the best-placed country to lead, citing its AI Security Institute. He also said officials in Washington view London differently from Brussels, whose approach to AI regulation is based on risk levels under the European Union's AI Act. The UK institute's leverage is limited, though: it operates through voluntary access arrangements with AI companies rather than mandatory powers.That access was recently interrupted. In September, the Trump administration told Anthropic, Google DeepMind and OpenAI to stop sharing their models with the British agency, and Anthropic then restricted access to its new Claude Mythos 5.1 model. The White House has since restored the institute's early access, following lobbying by Kanishka Narayan, the UK's AI minister, according to The Telegraph. AI Briefing News has not independently confirmed the reversal.Smith also disputed a claim by Vice President JD Vance that Microsoft had abused the H-1B visa system. He told the BBC that Vance's staff had made a calculation error and that about 80% of Microsoft's 6,000 visa applications were for existing employees. The exchange came days after the government announced on October 9th, 2026, that it was suspending Microsoft from the federal program that allows foreign workers to apply for green cards.Smith did not say which body would certify models, what capability threshold would trigger pre-release review, or whether Microsoft would accept that review for its own models and those of OpenAI, in which it is an investor. No written version of the proposals had appeared on Microsoft's policy blog as of Tuesday.The emergency-brake idea is not new for Smith. In 2023 he told a US Senate subcommittee that a "safety brake" is specifically needed for AI systems that manage critical infrastructure like power grids and water systems. His renewed push follows the UK data regulator's enquiries into AI agent testing at OpenAI, Anthropic and Meta, as AI Briefing News reported last week.

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