👋 Welcome! Today we will explore how AI has jumped from pilots of the back office reshaping scheduling, procurement, compliance, and service—promising efficiency gains while stoking ROI, workforce, and risk-management debates.

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AI & TECH

Mark Zuckerberg to Replace Smartphones – Meta officially unveiled its new Ray-Ban Display smart glasses at its Connect event: a built-in lens display, neural wristband for gesture control, live translations, and AI features. They’ll go on sale September 30 for $799. Also introduced were sport-focused Oakley Meta Vanguard glasses at $499. Zuckerberg previously stated that his aim is to replace smartphones with the smart glasses.

Nvidia Announces Surprise Collaboration With Its Falling Rival Intel – Nvidia is investing $5 billion in Intel, acquiring shares—about 4% once new stock is issued. The deal includes co-developing chips for PCs and data centers. Nvidia’s graphics tech will feature in future Intel processors, while Intel will design custom CPUs to pair with Nvidia’s AI infrastructure. Shares in Intel surged on the news.

ICE’s Digital Dragnet: Palantir, Spyware, and AI Join Forces – ICE is ramping up its deportation operations using a network of powerful tech tools. Key systems include Clearview AI for facial recognition, Paragon spyware now reinstated, Magnet/GrayKey for unlocking phones, LexisNexis for accessing public/legal records, and Palantir’s ICM and “ImmigrationOS” tools.

CAREER & WORK

Current Job Market? Could Be Worse Than Pandemic Era – U.S. job market shows urgent warning signs: lagging hiring, sharp downward revisions in employment indicators, and large drops in trend signals suggest a weakening labor climate. Once hot sectors are cooling fast, as data points mirror pandemic-era stagnation more than post-pandemic recovery.

‘Under 10 Applicants’ = Offer in Weeks – Lauren Young, 28, transformed her job search by using LinkedIn’s “Under 10 Applicants” filter. After months of applying to roles with hundreds or thousands of applicants, she focused on listings with fewer applicants and landed a job she loves within about a month.

Dad DoorDashes After 9-Month Job Hunt – Laid off after two decades in sales roles at Tesla, Wells Fargo, and others, Ilya Brunshteyn has struggled to land a new job despite applying to 10-15 sales positions per day for nine months. Rejections are often automated or due to being “overqualified.” To support his two daughters, he now DoorDashes full-time, earning about $25-31/hour after costs—and turning down low-wage gigs he feels don’t respect his experience.

ECONOMY & FINANCE

Mortgage Rates Falls, Homeowners Cautiously Celebrate – U.S. 30-year fixed mortgage rates slid to 6.26%, their lowest level in nearly a year, down from 6.35% last week. The dip comes after the Fed’s recent rate cut and softer inflation data, sparking a 60% jump in refinance applications. Homebuyers are cautiously re-entering the market, hoping lower borrowing costs could revive sluggish housing demand.

Global Investors Bet Big on the Short Side – Global investors are keeping stock and bond exposure to the U.S. but increasingly using derivatives to hedge against a weakening dollar. For the first time this decade, inflows into dollar-hedged ETFs tied to U.S. assets have surpassed those into unhedged funds.

Canada & Mexico Team Up to Outplay Tariffs – Canada’s PM Mark Carney met with Mexican President Claudia Sheinbaum in Mexico City to shore up economic cooperation amid mounting U.S. tariff pressures. The two committed to deepening bilateral trade ties, aligning strategies ahead of the 2026 USMCA review, and exploring ways to strengthen North American supply chains.

VC & FUNDING

Numeral Bags $35M to Automate Sales Tax – Numeral raised $35M in Series B funding, valuing the two-year-old startup at $350M, to automate sales tax compliance using AI. Its tools track laws across over 11,000 jurisdictions, file and pay taxes on behalf of clients, and serve 2,000+ ecommerce and SaaS businesses.

Irregular Secures $80M to Guard Frontier AI – Irregular, an AI security startup formerly called Pattern Labs, has raised $80 million in a funding round led by Sequoia Capital and Redpoint Ventures, valuing the company at around $450 million. The firm develops tools like SOLVE for scoring model vulnerability detection and builds simulated environments to spot emergent risks in frontier AI before release.

BIG THINK

AI Is Rewiring Business Administration and Operations

AI’s operational footprint is widening fast. Real-world adoption measured by a large U.S. business survey shows steady month-over-month growth in firms using AI to produce goods and services, underscoring a shift from hype to application. In parallel, executives cite concrete efficiency targets: AI route-optimization and building controls are already trimming fuel and energy use—use-cases that hit cost of goods sold and facilities budgets directly. Some companies are reorganizing to capture those efficiencies at scale; recent restructuring moves framed explicitly around an “AI push” signal that automation and software agents are being baked into core workflows, not parked in innovation labs.

Yet the transformation is uneven and contested. Blue-chip firms rolling out generative copilots across tens of thousands of employees report faster drafting, analysis, and documentation—but warn of “over-reliance” risks, mandating human judgment on high-stakes decisions. Labor dynamics are also shifting: AI is speeding some early-career tasks while compressing entry-level rungs, with evidence that young, AI-exposed occupations are seeing sharper employment pressure even as AI augments other roles. That complicates workforce planning for HR and operations leaders.

The net? In administration (finance ops, HR, compliance) and operations management (supply, logistics, maintenance), AI is best understood as a portfolio of task-level accelerators that compound into process-level gains—provided companies re-engineer workflows, data plumbing, and controls. Energy-intensive model use is a valid concern, but early field results show AI can also reduce operational waste when aimed at routing, scheduling, and building management. Meanwhile, adoption signals from broad business surveys and headline corporate actions point to a near-term cycle of standardizing AI “agents” in service, procurement, and planning, with governance guardrails catching up in tandem.

Actionable insights:

  1. Instrument the work before you automate it. Map high-frequency, measurable tasks (e.g., ticket triage, reconciliations, PO exceptions). Tie each AI use-case to a KPI (cycle time, first-pass yield, energy per output) and require human-in-the-loop sign-offs on high-risk steps.

  2. Target “cost-to-serve” hot spots. Pilot AI where savings are proven—routing, scheduling, and facilities optimization—then reinvest wins into data quality and controls. Expect workforce impacts; pair deployments with reskilling and clearer role design, especially for early-career pathways.

JOBS & OPPORTUNITIES

Junior Business Intelligence Analyst | Full Time | San Antonio, Texas | In Person

Product Security Engineer | Full Time | Plano, TX | Hybrid

R&D Software Engineer Intern | Full Time | Arden Hills, MN | In Person

Entry Level Data Scientist | Full Time | NYC, NY | Hybrid

Global Business Development Manager | Part Time | Year-round | Hybrid

Campaign Marketing Manager | Full Time | Charlotte, NC | Hybrid

Entry Level Software Engineer | Full Time | San Francisco, CA | In Person

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