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A daily bite-size selection of top business content.
PM edition. Issue number 1475
Latest 10 stories. Click the button for more.
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The Global Advisors Daily Business News briefing for 18 October 2026, hosted by Sam. Ten headlines shaping markets, technology and corporate strategy, with context on the stories that matter.
Read the full newsletter: https://with.ga/yoihr
In this edition:
- CoreWeave Shares Drop and Bond Yields Touch 15% Amid Scrutiny Over $52 Billion in Debt and Leases
- Central Bankers Call for Rigorous Model Testing and Safeguards as AI Raises Systemic Financial Risks
- Strait of Hormuz Ship Attacks Hit Weekly High as Regional Navigation Threats Escalate
- SoftBank Weighs Acquisition of Allied Universal at Potential $18 Billion Valuation
- Meta Drops AI Training Language From Commercial Terms After Pushback Over Web Scraping
- Anthropic reports junior technical hiring share fell from 27% to 9% as internal AI-agent usage expanded
- Mercedes-AMG Unveils Electric GT SUV With Up to 710 kW Charging Ahead of 2027 U.S. Release
- U.S. Fiscal 2026 Net Debt Interest Costs Reached Record $1.05 Trillion, Treasury Data Show
- Former OpenAI Engineer Charged Over Alleged Listening Device in Executive Conference Room
- Berkshire Hathaway Agrees to $330 Million Additional Investment in Bending Spoons
Follow the daily podcast on Spotify: https://with.ga/spotnews
Subscribe to the daily podcast on YouTube: https://with.ga/ytnews
Subscribe to the daily podcast on Apple: https://with.ga/applenews
Get free daily updates on WhatsApp: https://with.ga/wa
Read the full briefing and explore our strategy insights: https://globaladvisors.biz
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Read the full brief at the link
Headlines for the last 24hrs
- CoreWeave Shares Drop and Bond Yields Touch 15% Amid Scrutiny Over $52 Billion in Debt and Leases
- Central Bankers Call for Rigorous Model Testing and Safeguards as AI Raises Systemic Financial Risks
- Strait of Hormuz Ship Attacks Hit Weekly High as Regional Navigation Threats Escalate
- SoftBank Weighs Acquisition of Allied Universal at Potential $18 Billion Valuation
- Meta Drops AI Training Language From Commercial Terms After Pushback Over Web Scraping
- Anthropic reports junior technical hiring share fell from 27% to 9% as internal AI-agent usage expanded
- Mercedes-AMG Unveils Electric GT SUV With Up to 710 kW Charging Ahead of 2027 U.S. Release
- U.S. Fiscal 2026 Net Debt Interest Costs Reached Record $1.05 Trillion, Treasury Data Show
- Former OpenAI Engineer Charged Over Alleged Listening Device in Executive Conference Room
- Berkshire Hathaway Agrees to $330 Million Additional Investment in Bending Spoons
Time window: 2026-10-17T03:30:33.098Z to 2026-10-18T03:30:33.098Z
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"If you don't have an AI strategy, you're going to die in the world that's coming." - Devin Wenig - Former CEO, eBay
Competitive survival increasingly depends on whether a company can turn artificial intelligence from an isolated experiment into an operating capability. The danger is not simply that a rival may adopt a clever chatbot first. It is that competitors may redesign pricing, customer service, product discovery, fraud prevention, software development and decision-making while slower organisations continue to treat AI as a discretionary technology project. The resulting gap can widen through better data, faster feedback and lower operating costs, making recovery more difficult over time.
The strategic force behind this argument lies in the difference between using AI and building an AI strategy. A tool can improve an individual task, such as drafting copy or summarising research. A strategy connects technology to a defensible business objective, identifies the data and workflows required, assigns responsibility, and establishes measures for value and risk. Without those connections, companies accumulate demonstrations rather than capabilities. Employees may use consumer tools informally, departments may purchase incompatible systems, and executives may celebrate activity without knowing whether performance has improved.
Devin Wenig made the remark in the context of a business environment shaped by platform economics and rapid technological change. As the former chief executive of eBay, he operated in a sector where search, recommendations, trust, payments, logistics and personalisation directly affect transactions. These functions are especially suitable for machine learning because every interaction can generate signals about intent, relevance and risk. The broader lesson is not that every organisation must become an AI laboratory. It is that firms whose customer experience or cost base can be materially improved by software cannot assume that existing advantages will remain stable.
Evidence of widespread adoption supports the urgency, but it also complicates the dramatic language. McKinsey's 2025 global survey reported that 88 percent of respondents said their organisations regularly used AI in at least one business function, while nearly two-thirds had not yet begun scaling AI across the enterprise. The implication is a market divided between experimentation and integration. Many firms have access to similar models, yet far fewer have redesigned work around them. Access alone therefore offers limited protection; execution, proprietary data, process knowledge and organisational discipline determine whether adoption becomes an advantage.
Workflow redesign is the crucial middle layer. If a company simply adds an AI assistant to an unchanged process, it may save small amounts of employee time while preserving approval bottlenecks, duplicated data entry and poor incentives. More substantial gains arise when responsibilities are reconsidered from end to end. A support team might combine automated triage with human escalation, a retailer might connect demand forecasts to inventory decisions, and a software organisation might integrate code generation with testing and security review. The objective is not to remove people indiscriminately, but to allocate human judgement where it has the greatest economic and ethical value.
Why urgency can produce bad strategy
Survival rhetoric can motivate boards to act, but it can also encourage waste. Fear of falling behind may lead executives to fund fashionable pilots without a clear customer problem, buy overlapping platforms, or deploy systems before data quality and accountability are ready. The technology may then generate inaccurate recommendations, expose confidential information or create inconsistent treatment of customers. NIST's AI Risk Management Framework recommends a structured approach built around governing, mapping, measuring and managing risks, with a generative AI profile addressing issues such as fabricated outputs, harmful content, privacy concerns and security threats. That guidance makes clear that speed and control are not opposing goals; reliable controls are prerequisites for sustainable scale.
There is also a legitimate objection to the claim's implied certainty. AI will not eliminate the need for industry knowledge, capital allocation, strong brands or sound management. Some applications have weak economics because inference costs, integration work and human review outweigh the benefit. Other sectors face legal, safety or cultural constraints that make automation inappropriate. McKinsey's findings show this tension: although AI use is broad, only 39 percent of respondents reported an enterprise-level EBIT impact, suggesting that adoption has advanced faster than measurable financial returns. A company can therefore have an AI strategy and still fail if it chooses low-value use cases or mistakes usage statistics for productivity.
A credible strategy begins with a portfolio rather than a slogan. Leaders should identify a small number of high-value workflows, rank them by customer impact and feasibility, and define a baseline before deployment. The baseline might involve resolution time, conversion, defect rates, fraud losses or employee capacity. Results should then be tested against that baseline, with attention to quality and unintended consequences as well as cost. Projects that improve a meaningful metric can receive further investment; projects that cannot demonstrate value should be stopped, redesigned or kept at experimental scale.
Data governance becomes more important as systems move from assistance to action. Models depend on the relevance, legality and integrity of the information supplied to them, while automated decisions can amplify historical bias or create new vulnerabilities. Organisations need clear rules for access, retention, provenance, evaluation and incident response. They also need named owners who can answer what a system is permitted to do, when a person must intervene and how a customer can challenge an outcome. NIST describes trustworthy systems in terms including validity, safety, security, accountability, transparency, explainability, privacy and fairness. These are not merely compliance categories; failures in any of them can damage revenue and trust.
The competitive question is consequently less whether a company has purchased AI than whether it can learn faster with it. Organisations that build reusable data foundations, measured workflows and responsible deployment routines may compound their advantage as each implementation produces better operational knowledge. Those that chase isolated demonstrations may discover that their rivals have changed the basis of competition before the technology appears in conventional performance reports. The warning, read carefully, is not a prediction that every non-adopter will literally disappear. It is a challenge to treat AI as a matter of strategic design, organisational learning and accountability, because the firms that postpone those decisions may eventually find that the market has made them on their behalf.

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Closed-weight usage on OpenRouter grew 13-fold as its share fell. Ramp data corroborates rapid uptake of new models and provider growth, raising questions about capability, commoditisation and the cost of sustaining a frontier-model advantage.
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"Guilt cannot be part of friendships. Friendships have to have grace." - Jennifer Garner - Actress and Entrepreneur
Friendship becomes fragile when care is converted into an account of debts, failures, and emotional obligations. Guilt can acknowledge harm and motivate repair, but it can also make intimacy feel like a tribunal in which every missed call, cancelled plan, or imperfect response becomes evidence of moral failure. The distinction matters because friendships are voluntary relationships, sustained not by contract but by repeated acts of trust, understanding, and choice. Grace does not erase responsibility; it prevents responsibility from becoming the only language available between people.
There is a useful tension here. Guilt is not inherently destructive. Psychological research describes it as a social and other-oriented emotion that can encourage repair and pro-social behaviour, particularly when someone recognises that their actions have affected another person . A sincere apology, an attempt to make amends, or a change in conduct may all begin with discomfort. Without some capacity to feel regret, friendship can become a place where harm is denied and injured people are expected to remain endlessly accommodating.
The problem begins when guilt moves beyond a specific action and becomes a judgement about the whole person. Saying that a friend was hurt by a forgotten birthday is different from treating the friend as selfish, unreliable, or unworthy of closeness. The first statement identifies an event that can be discussed and repaired. The second turns the relationship into a verdict. Grace creates room between those positions: it allows a person to admit the failure without being reduced to it, and allows the injured friend to express pain without demanding permanent punishment.
Why friendship needs a different moral rhythm
Romantic partnerships and family relationships often carry explicit duties, legal ties, or established routines. Friendships usually operate with less formal structure, which makes them both liberating and vulnerable. A friend may be deeply important while remaining outside the practical architecture of daily life. Work, parenthood, illness, distance, grief, and financial pressure can interrupt contact without necessarily ending affection. Treating every interruption as betrayal mistakes consistency of communication for consistency of care.
That does not mean friendship should excuse indifference. Research on wrongdoing between friends shows that forgiveness and unforgiveness are distinct responses, and that forgiving someone does not necessarily restore the relationship to its former condition . A person can release the desire for revenge while still changing the level of trust they offer. Grace therefore differs from automatic reconciliation. It may mean allowing a friendship to continue with clearer boundaries, slower rebuilding, or a more honest recognition of what the relationship can now support.
The social function of guilt also explains why close friendships can feel especially intense after conflict. Studies of friends and strangers found that people who felt guilty were motivated to repair wrongdoing, while observers sometimes punished guilty close friends more strongly than acquaintances . Emotional closeness raises the stakes. A friend who has disappointed us matters enough to hurt us, and their visible remorse can paradoxically make the offence feel more serious. The desire for accountability can then become entangled with the desire to see the other person suffer.
Grace is not permission to avoid accountability
Grace works best when paired with accurate naming. A friend cannot repair what remains vague, and a relationship cannot become safer if the injured person must disguise their experience to appear forgiving. Useful conversations often involve three separate questions: what happened, how it affected each person, and what needs to change. This structure avoids the two most common extremes, namely total self-condemnation and total defensiveness. It also gives an apology a practical purpose rather than reducing it to a ritual phrase.
An apology is more credible when it recognises the specific harm, avoids unnecessary excuses, and identifies a future action. If a friend repeatedly cancels at the last minute, grace may make room for the possibility that life has become difficult. Accountability still requires a conversation about reliability and expectations. The result might be a different way of making plans, a willingness to give earlier notice, or an agreement that some invitations should not be accepted unless they can genuinely be kept.
Grace also has an inward dimension. People who are habitually guilty often believe that self-punishment proves their love. They apologise repeatedly, reject reassurance, and keep reopening an incident after the other person has accepted repair. That pattern can transfer emotional labour to the friend who was hurt, who must then comfort the person responsible. Genuine remorse is oriented towards the injured person and the future of the relationship; shame is often oriented towards defending a damaged self-image.
The strategic value of leaving room
In practical terms, friendships need slack. A relationship with no tolerance for delay, awkwardness, changing priorities, or imperfect communication becomes efficient only by becoming brittle. The strongest friendships are not those in which nothing goes wrong, but those in which difficulties can be discussed without threatening immediate extinction. This does not require unlimited access or endless patience. It requires an understanding that people are larger than their worst week and that closeness cannot be measured solely through performance.
That principle has particular relevance as adults move through different life stages. Friends may be separated by geography, careers, caring responsibilities, health problems, or bereavement. Jennifer Garner has spoken publicly about friendship as something that requires intention, while also arguing for room to give oneself and friends grace . Her comments connect emotional generosity with practical effort: grace is not passive sentiment, but the willingness to make contact, acknowledge distance, and create a route back into conversation.
There are limits, however. Grace should not be used to keep a person attached to manipulation, contempt, coercion, or repeated betrayal. Research on forgiveness in friendship recognises that even when an offence is forgiven, long-term changes in how the offender is viewed may remain . A generous response can include ending the friendship, reducing contact, or declining to offer the same trust again. The moral test is not whether the relationship survives at any cost, but whether both people can participate without fear, humiliation, or chronic emotional accounting.
What the principle asks of both friends
For the person who caused harm, the task is to replace guilt with responsibility. That means listening without insisting on immediate absolution, apologising without making the injured friend manage the conversation, and accepting that repair may be gradual. For the person who was hurt, the task is to distinguish a repairable failure from a pattern that makes closeness unsafe. Grace does not demand that pain be hidden. It asks whether the response can be proportionate, truthful, and directed towards a workable future.
Friendship survives through this combination of candour and mercy. Guilt may open the door to repair, but grace determines whether the conversation can continue after the apology. It protects people from being trapped in fixed roles: the guilty one, the injured one, the disappointing one, or the unforgiving one. When friends can acknowledge harm without turning each other into permanent moral cases, they gain something more durable than innocence. They gain a relationship capable of bearing ordinary human imperfection while still taking love seriously.

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The Global Advisors Daily Business News briefing for 17 October 2026, hosted by Sam. Ten headlines shaping markets, technology and corporate strategy, with context on the stories that matter.
Read the full newsletter: https://globaladvisors.biz/?p=3167525
In this edition:
- CoreWeave Shares Plunge as Surging Bond Yields Expose AI Debt-Financing Pressures
- Brent Crude Closes at $109.86 After Touching $110 as Hormuz Attacks and Refinery Strikes Escalate
- India's Cybersecurity Agency Reports Rogue AI Agents Accessed Personal and Corporate Records
- China Proposes Export Controls on AI, Biotech, and Solar Technologies
- Fed Chair Warsh Flags Energy and AI Spending Shocks as Markets Price In Near-Term Rate Pause
- Indonesian Equities Plunge 11.6% After MSCI Proposes Downgrade to Standalone Status
- KFC Plans U.S. Switch to Coca-Cola Beverages After Serving PepsiCo Since 1986
- Meta and Apple Partner to Optimize Open-Weight Muse Spark AI on Mac Studio Desktops
- Tesla Unveils Cold-Gas Thruster Roadster Prototype and Pushes Production Target to 2028
- Berkshire Hathaway Invests Additional $330 Million in Bending Spoons via Private Placement
Follow the daily podcast on Spotify: https://with.ga/spotnews
Subscribe to the daily podcast on YouTube: https://with.ga/ytnews
Subscribe to the daily podcast on Apple: https://with.ga/applenews
Get free daily updates on WhatsApp: https://with.ga/wa
Read the full briefing and explore our strategy insights: https://globaladvisors.biz
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Read the full brief at the link
Headlines for the last 24hrs
- CoreWeave Shares Plunge as Surging Bond Yields Expose AI Debt-Financing Pressures
- Brent Crude Closes at $109.86 After Touching $110 as Hormuz Attacks and Refinery Strikes Escalate
- India's Cybersecurity Agency Reports Rogue AI Agents Accessed Personal and Corporate Records
- China Proposes Export Controls on AI, Biotech, and Solar Technologies
- Fed Chair Warsh Flags Energy and AI Spending Shocks as Markets Price In Near-Term Rate Pause
- Indonesian Equities Plunge 11.6% After MSCI Proposes Downgrade to Standalone Status
- KFC Plans U.S. Switch to Coca-Cola Beverages After Serving PepsiCo Since 1986
- Meta and Apple Partner to Optimize Open-Weight Muse Spark AI on Mac Studio Desktops
- Tesla Unveils Cold-Gas Thruster Roadster Prototype and Pushes Production Target to 2028
- Berkshire Hathaway Invests Additional $330 Million in Bending Spoons via Private Placement
Time window: 2026-10-16T03:30:33.093Z to 2026-10-17T03:30:33.093Z
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"Loud working is a workplace trend where employees heavily publicise, broadcast, and over-narrate their daily tasks and achievements to ensure leadership notices their contributions. Driven by economic uncertainty and fear of layoffs, workers use constant visibility - such as instant messaging replies, off-hours emails, and frequent updates on minor wins - as a survival tactic to protect their jobs." - Loud working - Work culture
Visibility can protect a contribution from being overlooked, but it can also turn ordinary work into a continuous performance. When employees feel that redundancy decisions, promotions, and access to senior leaders depend on being remembered, they may devote time to narrating activity rather than improving outcomes. The result is a workplace where responsiveness, presence, and self-promotion become informal signals of value, even when they are weak measures of contribution .
The behaviour usually appears through frequent progress updates, highly visible instant-message replies, emails sent outside normal hours, meeting interventions, public task lists, and announcements of minor accomplishments. Some employees deliberately choose projects with senior exposure or build a personal brand on professional platforms. These actions are not identical: a concise update that clarifies ownership can improve coordination, while a stream of low-value messages can create noise. The defining feature is not communication itself but the pressure to make work continually observable.
This pressure is intensified by economic insecurity. The supplied account links the trend to fears of layoffs and a more difficult job market, while recent reporting describes employees concentrating more effort on demonstrating value inside organisations where they already work . Visibility becomes a form of insurance, although it cannot guarantee employment. Restructuring decisions may reflect budgets, strategy, acquisitions, automation, geography, or managerial preferences that an individual employee cannot control. Treating self-promotion as protection therefore risks giving workers responsibility for structural decisions.
Why visibility becomes a proxy for performance
Managers rarely observe every important contribution directly, particularly in hybrid and remote teams. They often rely on memorable examples, recent interactions, and signals of availability when forming judgements. This creates a measurement problem: observable activity is easier to recall than prevention, careful analysis, maintenance, or work whose benefits appear months later. Survey reporting from MyPerfectResume found that 70% of United States workers believed highly visible employees were rewarded more than colleagues who quietly produced strong results, while 82% had at least occasionally worried that appearing idle could harm job security or career growth . These figures measure perceptions rather than verified promotion or redundancy outcomes, but perceptions alone can alter behaviour.
The incentive can be expressed as a simple trade-off. Let represent perceived visibility, represent substantive impact, and represent time available for useful work. If employees believe evaluation depends on a weighted combination , with larger than , increasing visible activity may appear rational even when it reduces impact. If appearance management consumes units of time, productive capacity becomes . The organisational danger arises when leaders reward without checking whether it is associated with customer value, quality, risk reduction, learning, or completed outcomes.
Research and commentary on productivity theatre describe similar behaviour, including taking extra tasks for exposure, staying late to be noticed, joining meetings for presence, and prioritising speed of response over durable results . These activities may sometimes be useful, but their value depends on context. Immediate replies can prevent delays in a crisis; outside-hours messages can be necessary across time zones; public recognition can help a team learn. The problem begins when such signals become compulsory demonstrations rather than proportionate tools for coordination.
The tension between healthy advocacy and performance theatre
A strong distinction separates responsible self-advocacy from loud working. Responsible advocacy makes outcomes legible: it states what changed, why it mattered, what evidence supports the claim, and which colleagues contributed. It does not imply that constant availability proves commitment. Performance theatre, by contrast, maximises the appearance of effort, often through repetition, exaggerated urgency, or activity that has little relationship to organisational priorities. The same message can therefore be constructive or performative depending on whether it enables a decision, records an outcome, or merely signals busyness.
The trend also exposes unequal access to visibility. Employees with caring responsibilities, disabilities, demanding operational roles, or cultural preferences for measured communication may be less likely to perform availability in public channels. People working behind the scenes can create essential infrastructure while receiving little recognition. If managers confuse vocality with leadership, they may disadvantage precisely those employees whose work is reliable, technical, or collaborative. A visibility culture can therefore reproduce inequalities while presenting its judgements as meritocratic.
There is a personal cost to maintaining the signal. After-hours digital communication has been associated with emotional exhaustion and negative extra-role behaviours in research involving full-time employees . The mechanism is credible: each message extends cognitive availability, blurs recovery time, and creates uncertainty about whether silence will be interpreted as disengagement. Over time, workers may answer faster, attend more meetings, and take on more visible tasks while losing the concentration required for complex work. A culture that rewards permanent reachability can consequently undermine the performance it claims to measure.
What better management looks like
Organisations can reduce the incentive for loud working by defining outcomes before activity begins. A useful performance system combines deliverables, quality, customer or stakeholder effects, collaboration, and learning. Managers should ask what was completed, what evidence shows its value, what risks were avoided, and what dependencies were resolved. These questions make invisible work discussable without demanding a constant broadcast. They also help distinguish a short, informative update from a long stream of status signals.
Evaluation should use multiple time horizons. Recent visibility can be useful for identifying emerging problems, but promotion and redundancy decisions should draw on documented results over an appropriate period and input from people who understand the work. Clear criteria are particularly important during restructuring, when rumours and selective attention magnify insecurity. Leaders should explain which business factors drive decisions without implying that more messages, longer hours, or physical presence can guarantee protection.
Employees still need practical ways to make their contribution legible. A monthly record of completed work, decisions influenced, measurable improvements, lessons learned, and feedback received is more defensible than continuous self-advertising. Updates should be audience-specific: senior leaders need strategic implications, collaborators need dependencies, and managers need evidence against agreed objectives. The aim is not silence but signal quality. Loud working persists because visibility solves a real coordination and recognition problem, yet solving it through constant performance transfers the cost to attention, wellbeing, and trust.

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The Global Advisors Daily Business News briefing for 16 October 2026, hosted by Sam. Ten headlines shaping markets, technology and corporate strategy, with context on the stories that matter.
Read the full newsletter: https://globaladvisors.biz/?p=3167515
In this edition:
- CoreWeave Credit Default Swaps Top 1,000 Basis Points as AI Debt Scrutiny Mounts
- TSMC Beats Q3 Estimates and Raises Guidance, but Shares and Semiconductor Sector Continue Slide
- Anthropic Reports $16.8B in Q3 Revenue Ahead of Planned IPO, Bloomberg Reports
- Apple and Meta Partner to Run 816-Billion-Parameter Muse Spark Model Locally on Mac Studio Desktops
- Ad Networks Disconnect Discover-Tech After Report Details Zero-Click Spyware Delivery via Online Ads
- GTCR and Elliott to Acquire Insurance Software Provider CCC in $6.1 Billion Take-Private Deal
- Chevron CEO Warns Depleted Global Fuel Buffers Leave Oil and Diesel Markets Vulnerable
- Amazon Devices Chief Panos Panay Envisions Ambient AI Gadgets Displacing App-Centric Computing
- UK Bank Tax Hikes Face Growing Speculation Ahead of Autumn Budget Following Deficit Surprise
- Harvard Endowment Delivers 27.1% Return in Fiscal 2026, Led by $2.2 Billion SpaceX Stake
Follow the daily podcast on Spotify: https://with.ga/spotnews
Subscribe to the daily podcast on YouTube: https://with.ga/ytnews
Subscribe to the daily podcast on Apple: https://with.ga/applenews
Get free daily updates on WhatsApp: https://with.ga/wa
Read the full briefing and explore our strategy insights: https://globaladvisors.biz
|
| |
| |
|
Read the full brief at the link
Headlines for the last 24hrs
- CoreWeave Credit Default Swaps Top 1,000 Basis Points as AI Debt Scrutiny Mounts
- TSMC Beats Q3 Estimates and Raises Guidance, but Shares and Semiconductor Sector Continue Slide
- Anthropic Reports $16.8B in Q3 Revenue Ahead of Planned IPO, Bloomberg Reports
- Apple and Meta Partner to Run 816-Billion-Parameter Muse Spark Model Locally on Mac Studio Desktops
- Ad Networks Disconnect Discover-Tech After Report Details Zero-Click Spyware Delivery via Online Ads
- GTCR and Elliott to Acquire Insurance Software Provider CCC in $6.1 Billion Take-Private Deal
- Chevron CEO Warns Depleted Global Fuel Buffers Leave Oil and Diesel Markets Vulnerable
- Amazon Devices Chief Panos Panay Envisions Ambient AI Gadgets Displacing App-Centric Computing
- UK Bank Tax Hikes Face Growing Speculation Ahead of Autumn Budget Following Deficit Surprise
- Harvard Endowment Delivers 27.1% Return in Fiscal 2026, Led by $2.2 Billion SpaceX Stake
Time window: 2026-10-15T03:30:33.111Z to 2026-10-16T03:30:33.111Z
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