Engineering Insights

Rising fuel prices are quietly driving up AI data center energy costs, creating a ripple effect that impacts cloud pricing and business expenses worldwide.

Private equity software investing risks and opportunities have become one of the most searched and debated topics in the financial world right now. With markets reacting to global tension, rising oil prices, and uncertainty around private credit exposure, investors are trying to understand whether software investments are still safe or if the risks are being underestimated. At the same time, major players in private equity are stepping forward to defend their positions, argui

The future of software is AI-native. This guide explores the trends shaping SaaS product development with AI, including AI agents, vertical AI startups, usage-based pricing, and the next generation of SaaS innovation.

Artificial intelligence is rapidly transforming how video data is analyzed, and AI models made in Bangladesh are playing an important role in that evolution. In this article, we explore how Kaz Software is building custom computer vision and machine learning systems capable of detecting vehicles, objects, and actions inside live video streams. From recognizing Dhaka’s electric rickshaws to enabling advanced searches.

The OpenAI vs Anthropic rivalry is intensifying as both companies navigate the future of AI. With OpenAI securing government contracts and Anthropic gaining public favor, the battle for AI dominance extends beyond technology; it’s a question of ethics, regulation, and public trust. As government actions and consumer support shape the future of AI, the stakes have never been higher.

The AI commodity race is accelerating as global demand for critical minerals like copper, lithium and rare earth elements surges alongside AI infrastructure expansion. As data center growth and semiconductor production intensify, geopolitics and resource access are becoming central to investment strategy in 2026.

AI impact on cybersecurity spending is becoming one of the most misunderstood shifts in today’s software market. While investors worry that artificial intelligence could disrupt traditional application software, cybersecurity may be entering a structurally stronger growth cycle driven by AI adoption itself. Security is not being replaced. It is being redefined.

Bradley Tusk venture capitalist discussing AI bubble economic problems on financial news.

WSJ covers Claude revolution hitting mainstream. US ranks worst globally in AI optimism. Musk wants $134B from OpenAI as his data center breaks records.

Recent enterprise AI surveys are revealing a clear and important shift in how organizations approach artificial intelligence. What stands out most is not just increased spending or broader adoption, but a fundamental change in leadership. AI is no longer something that CEOs delegate down the organization. Instead, it is rapidly becoming a CEO-led initiative, driven from the very top. This shift could not have come at a better time. The challenges AI presents today are far mor

Vibe coding is a new AI-assisted software development approach popularized by Andrej Karpathy, and it is rapidly changing how startups are born. Instead of writing code line by line, founders use natural language to prompt AI tools to build, debug, and refine applications. The focus shifts away from syntax and toward outcomes. In this model, the founder becomes a product thinker and tester who observes what’s happening, describes changes in plain English, and runs the softwar

Bangladesh is quietly but rapidly becoming one of the most exciting hubs for AI software development. What was once known primarily for cost-effective outsourcing is now producing deep technical expertise in artificial intelligence, data engineering, computer vision, and large-scale software systems. The shift is being driven by a new generation of engineers, exposure to global markets, and companies that are willing to invest in complex, high-impact AI work rather than commo

Choosing an AI development partner is rarely about models or tools. This guide breaks down how global companies actually evaluate AI teams in Bangladesh—what works in production, what fails in practice, and how to avoid costly mistakes before committing long term.

CEO puppet strings AI washing Wall Street stock chart. Companies blame AI for layoffs but can't actually replace workers with it Despite 946,000 job cuts announced through September 2025—a 55% increase from last year and highest since 2020—there's little evidence AI is actually replacing these workers, with experts noting "you're not really seeing companies say I am cutting 10,000 employees and replacing them with one single computer." The disconnect reveals widespread "AI wa