In 2026, AI is expected to shift from experimental to essential for business, with a focus on proving ROI and productivity gains, as companies adopt more autonomous agents and integrate AI into real-world applications, despite challenges in deployment and organizational adaptation.
Investors expect quicker returns from AI investments than CEOs, leading to tension that could impact market winners and losers, with investor impatience possibly disappointing by 2026 despite increased AI spending by companies.
Despite widespread adoption of generative AI in workplaces, most companies see little measurable return on investment, as AI is often used to produce low-value content called 'workslop,' leading to increased activity but no real productivity gains.
Many companies are investing heavily in AI, expecting high returns, but are often doing so without integrating AI into a broader data and process foundation, which may hinder ROI. Despite projections of AI spending reaching $632 billion by 2028, there is a growing debate on whether to pause or rethink AI investments for better strategic alignment.
New research reveals that nearly half of master’s degree programs leave students financially worse off, with 43% yielding a negative return on investment. While bachelor’s degrees have a median ROI of $160,000, master’s degrees average around $50,000. STEM fields, particularly computer and information sciences, offer the highest starting salaries for master’s degree holders.
Master's degree holders earn significantly more than those with only a bachelor's or high school diploma, but many face substantial debt. The top-paying master's degrees are in fields like computer science and engineering, with starting salaries over $100,000. However, fewer than 60% of master's programs offer a positive return on investment, highlighting the importance of choosing the right field.
Companies are investing millions in deploying AI tools to boost employee productivity, but the payback may not be immediate. While many business leaders believe that AI will save them money in the near-term, 44% of CFOs surveyed at a recent summit believe that deploying AI tools will cost them more money than it saves them over the next 12 months. CFOs anticipate that ROI will take longer than a year, as they expect to run experiments and encounter failures along the way. However, they view AI as a prime tool for increasing employee productivity and recognize its potential to handle daily administrative tasks, allowing employees to focus on more strategic projects. The challenge lies in preparing the workforce for AI usage at scale.
An unknown investor achieved a staggering 45,650% return on investment by purchasing 127 call options on Splunk stock ahead of Cisco's acquisition announcement. The investor's $22,000 investment turned into a $10 million profit in just one day. The Securities and Exchange Commission is likely to launch an investigation into the highly anomalous trade, as it raises suspicions of insider trading.
Joybird, a furniture company, analyzed 11 factors to determine the best U.S. states for flipping houses and maximizing ROI. Five out of the top 10 states are located in the South, with Louisiana ranking as the best state for house flipping. Michigan and Alabama also made the top three. Factors considered included median home price, number of fixer-upper homes, days on the market, and property tax rates. Louisiana offers a low property tax rate and a large construction labor force, contributing to its high ranking.
Google Analytics 4 has introduced a new Audience report that allows marketers to identify their most engaged and profitable audiences. The report provides metrics such as active users, average session duration, new users, sessions, views per session, and total revenue. Marketers can use this data to make informed decisions and improve their marketing strategies, potentially increasing conversions and ROI.