🐷Your new finance buddy

👋 Welcome! Scroll through to learn more on how AI could be (or not) your financial advisor and much more.

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Salesforce’s $8B AI data power up – Salesforce is buying data firm Informatica for $8 billion, strengthening its data infrastructure for AI. The deal aims to create a unified “agentic AI” foundation, helping autonomous agents operate safely and at scale across the enterprise.

Nestlé uses AI to cut food waste by 87% – Nestlé and partners piloted an AI tool to predict demand (e.g. for seasonal chocolate eggs), cutting edible food waste by ~87% in trials. That could save the equivalent of 1.5 million meals from being thrown away.

Robotics is the next AI frontier – An Nvidia VP shared “the next phase of AI is robots,” thanks to AI advances that let even non-engineers program humanoid machines. He pointed out that training robots in simulated environments is now feasible at scale. AI and robotics are merging to tackle real-world labor shortages. Smart robots could soon handle many physical tasks, drastically changing industries like manufacturing, logistics and services.

John Deere’s driverless farm vision – Deere’s CFO says the company will automate virtually every farming step by 2030. He expects tasks like tilling, planting and harvesting to become autonomous within this decade. Widespread farm automation could ease labor shortages in agriculture and boost productivity, but also upend rural jobs.

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🎟️ Save Your Seat – Before It’s Gone

Gen Z ‘Snowflakes’ – There is a growing concern of “declining work ethic” in younger workers that stems from lenient deadlines and a lack of real consequences.

AI chatbot assists at work (even as a friend) – A new survey finds Gen Z are far more likely than older co-workers to use ChatGPT on the job. About 21% of Gen Z employees use it regularly (vs. ~6–9% of older generations). They chat or even “vent” to the bot during work hours. This hints that young workers see these tools as digital colleagues or mentors, reshaping teamwork and productivity in modern offices.

Job shuffle could reshape hiring – A major survey of young workers shows 31% of Gen Z plan to switch jobs within two years (vs. 17% of Millennials). Yet only 14% of Gen Z cite “job stability” as a top career goal. This mix of restlessness and caution could alter company retention strategies.

Gen Z leads green investment boom – A Morgan Stanley survey finds that 99% of Gen Z and 97% of Millennials are interested in sustainable (ESG) investing.

Trump Media raising $2.5B to buy Bitcoin – The Trump-founded social network announced a stock/notes sale to add about $2.5B of bitcoin to its balance sheet.

EU to fast-track U.S. trade talks – EU leaders will “rapidly” advance negotiations with Washington now that Trump has delayed his threatened 50% tariffs on EU goods.

AI-driven financial advising platforms, often known as robo-advisors, have surged in popularity, reshaping how Americans manage their money. Platforms like Betterment and Wealthfront use advanced algorithms to automatically allocate assets, rebalance portfolios, and minimize investment fees, democratizing access to financial services previously limited to affluent clients . Proponents highlight AI's capacity to analyze vast amounts of data instantly, offering tailored investment strategies and quickly adapting to changing market conditions.

Major financial institutions are betting heavily on this trend. JPMorgan Chase recently announced an $18 billion investment in AI to streamline operations and enhance client experiences. Banks are optimistic AI will enable more accurate forecasting, reduced human error, and ultimately, increased profitability and efficiency in financial advising.

Yet, significant concerns exist around the wholesale shift toward algorithmic investing. Critics argue that while AI may handle routine portfolio management effectively, it lacks critical human intuition, particularly during periods of market volatility or crisis. Human advisors can interpret context, emotions, and individual client needs—factors algorithms may overlook. Financial experts worry excessive reliance on AI could result in widespread uniformity in investment strategies, increasing systemic risks in financial markets.

Further, ethical concerns about transparency and accountability are prevalent. Who bears responsibility when an AI-driven investment decision goes wrong? The complexity of algorithms can create opacity, making it difficult for users to understand exactly how investment choices are made. Regulators have begun scrutinizing these platforms, calling for clear disclosures about the underlying technologies and methodologies employed.

Despite these concerns, the trajectory of AI in finance is unlikely to slow. The key challenge ahead is striking the right balance between human insight and algorithmic efficiency to provide optimal outcomes for all investors.

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15%

of all U.S. job listings are now for remote positions, tripling since 2020 and highlighting the shift in work culture.

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