Good Morning! Megadeals are back. Marvell is buying Lumentum in $115 billion deal in AI data-center bet. Apollo is launching an $11.2 billion private credit platform called European Credit Company to lend to businesses across Europe. And a Blackstone-led investor group agreed to buy a stake in LNG Canada’s liquefaction business for $3.1 billion.

Meanwhile, Millennium is pulling more than $1.5 billion in leveraged capital from two external hedge funds. Anthropic’s revised S-1 revealed $17 billion in Q3 revenue and $895 billion in purchase commitments. And Carlyle, KKR and Oaktree are eyeing discounted US leveraged loans to package into CLOs.

Plus: IVF parents are paying $80,000 for exclusive donor sperm rights to limit the number of biological siblings, and polite but direct phrases to exit conversations at networking events.

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Goldman Sachs spent months letting bankers and traders to experiment with AI coding tools. Now it’s taking some of them back. Under internal guidance updated in October, the bank is limiting Anthropic’s Claude Code and Microsoft’s GitHub to engineers only. With ~12,000 engineers out of ~46,000 employees, that leaves the tools with ~26% of the firm.

Goldman says the change followed a review of productivity and risk management, and that a period of experimentation helps it decide which tools belong with which employees long term. Some traders aren’t exactly happy. They had been using the tools to monitor client trading flows, model market moves and positions, and produce written and graphic content.

As recently as July, CIO Marco Argenti was praising “vibe coding” by non-technical staff, describing a workflow where bankers and traders built tools with AI and handed them off to the firm’s ~12,000 engineers to refine.

In May, John Waldron, widely seen as David Solomon’s successor, called Goldman a “human assembly line” ripe for automation. And this isn’t the first pullback either. Earlier this year, the bank restricted Claude for staff in Hong Kong.

Banks are spending millions on AI while weighing cybersecurity risk, costs and productivity. JPMorgan said in July it wants employees choosing the right model for each task, so they aren’t using the most expensive one for something as simple as summarizing an analyst report. Goldman, for its part, has built its own internal assistant that combines models from OpenAI, Anthropic and Alphabet.

In February, Argenti told CNBC that Anthropic engineers had spent six months embedded at Goldman building Claude-powered agents for trade accounting and client onboarding. On October 26, Anthropic filed to list on Nasdaq under the ticker ANT, with Goldman as lead underwriter. So one part of the bank is preparing to pitch investors on the company behind Claude, while another is limiting who can use its coding tool internally.

Takeaway: AI makes software easier to build, but someone still has to review it, maintain it and own the risk when it breaks. For a regulated bank, that’s a fair concern. Still, employees who took management up on its invitation to experiment have reason to wonder why the reward was losing access. AI promised everyone could become a developer; at Goldman, for now, you’ll need to submit a ticket.

AI has become a regular part of financial advice and wealth management. Morningstar’s latest study found 80% of U.S. advisors use it, up from 67% a year ago. Yet 56% still named administrative and operational work as a top barrier to delivering the client service they want.

Unique AI’s family of AI teammates takes on the preparation and follow-up around those client conversations. Remy, the AI teammate for financial advisors, brings together information from your firm’s client records, emails and meeting notes into an evolving client memory, with facts linked to their sources. Each morning, Remy surfaces open actions, prepares briefs for upcoming meetings, and drafts client emails for your review.

Remy can also identify warm leads and referral opportunities within your client network, and help you qualify new prospects using context from your systems and relevant public information.

Working with Remy helps you spend less time piecing together past conversations and more time deepening client relationships and growing your business. See Remy in action.

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Researchers tracked about 60,000 UK adults wearing movement sensors, then followed them for mortality. They scored how regular each person’s sleep and wake times were on a scale from 0 (random) to 100 (perfectly regular).

People in the four most regular groups had a 20% to 48% lower risk of dying than the least regular group, the one scoring under 71.6. Regularity was a stronger predictor of mortality than how long people slept.

It is an association, so it doesn’t prove cause. But a fixed wake time is a free place to start.

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