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WealthTech Strategy Partners welcomes former T. Rowe Price executive Steve Larson as Senior Advisor. Steve Larson will help advance the firm's strategic advisory, partnership development, and growth initiatives across the wealth management and WealthTech landscape. BOSTON, MA, UNITED STATES, June 3, 2026 / EINPresswire.com / - WealthTech Strategy Partners announced today that Steve Larson, a highly respected wealth management executive with more than 35 years of industry experience, has joined the firm as a Senior Advisor. Larson will help advance the firm's strategic advisory, partnership development, and growth initiatives across the wealth management and WealthTech landscape. Larson brings a distinguished career spanning leadership roles in wealth management, distribution, client service, and platform strategy. During his tenure at T. Rowe Price, he held numerous senior leadership positions, including Head of Wealth Management Platforms, Director of Third Party Distribution, General Manager of Wealth Management Services, Manager of Client Service for Third Party Distribution, Marketing Manager of Third Party Distribution, and Manager of Financial Institution Services. His experience has provided him with a deep understanding of advisor platforms, distribution strategy, client engagement, and the evolving needs of financial advisors and institutions. In addition to his corporate leadership experience, Larson serves as an Independent Advisor with YTS Wealth Management, further strengthening his perspective on the advisor experience and the challenges facing today's wealth management professionals. Beyond his professional accomplishments, Larson has demonstrated a longstanding commitment to advancing financial planning and consumer financial education. He recently served on the Board of Trustees and Executive Committee of the Foundation for Financial Planning, has served as a Board Member of the Financial Planning Association of Maryland, and has been a member of the Board of Trustees of the NAPFA Consumer Education Foundation. "Steve's extensive experience across wealth management platforms, distribution, advisor services, and industry leadership makes him an exceptional addition to our team," said Kendrick Wakeman, CEO and Co-Founder of WealthTech Strategy Partners. "Throughout his career, he has built a reputation for strategic thinking, operational excellence, and a deep commitment to serving advisors and investors. His perspective and relationships across the industry will be invaluable as we continue helping our clients navigate strategic transactions." "The wealth management industry continues to evolve at a rapid pace, creating exciting opportunities for firms that can effectively align technology, distribution, and advisor needs," said Larson. "WealthTech Strategy Partners has established itself as a trusted advisor to many of the industry's most innovative companies. I'm excited to join Kendrick and the team and contribute to helping clients achieve their strategic objectives and long-term success." Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. International World Times do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Wall Street banks are paying these two experts $25,000 A day for AI training. Wall Street is now paying an arm and a leg per day for artificial intelligence training, an amount that would once have bought a small trading desk, but now buys roughly eight hours of being told how to use ChatGPT without accidentally turning it into a compliance incident, as Citigroup, Bank of America and T. Rowe Price race to retool their workforces for an AI era where the biggest risk is no longer missing earnings season, but discovering your competitor figured out the prompt first. Major U.S financial institutions are paying as much as $25,000 per day for specialist artificial intelligence training as Wall Street accelerates efforts to embed AI across trading, research and risk operations. The courses are run by Felipe Sinisterra and Dave Wang through their firm Wall Street Prompt, which provides tailored training for investment professionals on how to use generative AI tools such as OpenAI's ChatGPT and Google's Gemini for tasks including market analysis, earnings interpretation and investment decision-making. The pair are both former SoftBank fund managers, having previously worked within the Japanese investment group's venture and technology investing ecosystem before leaving to focus on AI training and advisory work for financial firms. Their client list includes Citigroup, Bank of America and asset manager T. Rowe Price, according to people familiar with the matter, reflecting the extent to which major banks and investment houses are now formalising AI capability-building at senior and junior levels. The sessions have become so sought after that they are reportedly fully booked for months ahead, with banks competing for limited availability as internal pressure grows to avoid falling behind in AI adoption. What $25,000 per day actually means At face value, the pricing places the training in the ultra-premium consultancy category. But when broken down over time, the scale becomes clearer. A single one-week engagement (five working days) would cost a bank $125,000. Over a typical four-week month, the cost rises to approximately $500,000 per client engagement. If the training were hypothetically extended across a full year of continuous work, the cost would reach about $6.5 million per year, assuming a standard 260 working days. On a calendar-year basis of 365 days, the figure increases to roughly $9.1 million annually. In practice, these programmes are not delivered continuously. Instead, they are structured as short, intensive interventions, often lasting days or weeks, suggesting that banks are paying for concentrated bursts of capability transfer rather than ongoing instruction. Why banks are paying premium rates The willingness to pay such sums reflects how rapidly artificial intelligence has shifted from experimental tool to core infrastructure within finance. Large banks are increasingly deploying AI systems across equity and credit research workflows, compliance and surveillance systems, risk modelling and scenario analysis, client communication and reporting tools. The commercial logic is that even marginal efficiency gains at scale can translate into significant cost savings and productivity improvements across thousands of employees. Industry transformation and labour pressure The rise of such training programmes comes amid broader restructuring across the banking sector, where firms are simultaneously investing in AI systems while reducing certain back-office roles. Industry executives have increasingly framed AI not as a supplementary tool but as a structural shift in how financial work is performed, particularly in entry-level analytical roles. In that context, high-cost training is being positioned as a way to "rebuild" internal capability quickly rather than rely solely on hiring or external consultants. The result is a growing market for elite-level AI educators who sit at the intersection of finance and machine learning - offering not just technical instruction, but domain-specific reinterpretation of how banking work is done in an AI-driven environment. Stay ahead of the stories shaping its world. Subscribe to Impact Newswire for timely, curated insights on global tech, business, and innovation all in one place. Dive deeper into the future with the Cause Effect 4.0 Podcast, where Impactnews Wire explore the ideas, trends, and technologies driving the global AI conversation. Got a story to share? Pitch it to Impactnews Wire at [email protected] and reach the right audience worldwide Faustine Ngila is the AI Editor at Impact Newswire, based in Nairobi, Kenya. He is an award-winning journalist specializing in artificial intelligence, blockchain, and emerging technologies. He previously worked as a global technology reporter at Quartz in New York and Digital Frontier in London, where he covered innovation, startups, and the global digital economy. With years of experience reporting on cutting-edge technologies, Faustine focuses on AI developments, industry trends, and the impact of technology on society. Loading...