Do you remember Meta’s Ray-Ban glasses from 2023? You probably do (since we just mentioned them in class), but they weren’t exactly ground-breaking. But on September 30th, the second generation is being released, and this time the air smells different.
This iteration of the Meta Ray-Ban Display features an in-lens display visible only to the wearer, marking a significant step toward AR technology. While it isn’t true Augmented Reality yet, since the display doesn’t interact with your surroundings, this is a sign that the technology is rapidly advancing in that direction. More interesting is how you control it. The glasses connect to a neural wristband, a watch-style band that detects electrical impulses from your wrist muscles. This means you can control the display with subtle gestures, even from inside your pocket, unlike older camera-based tracking systems.
But is this truly disruptive? Not yet. At $800, it’s positioned like a flagship phone, but still lacks a broad app ecosystem. There is also a social barrier: are people willing to accept chunky glasses and an always-ready camera in shared spaces? Secondly, Meta´s reputation is fragile when it comes to trust and privacy. Clear recording indicators, strict on-device processing, and transparent data will matter just as much as the spec sheets. Also, the possibility of ads or brand placements drifting into your field of view is non-zero. One thing is sure, stronger privacy regulation will be crucial.
If those concerns are addressed, the upside is real: live captioning and translation, live guided navigation, quick capture and messaging, all controlled with a flick of fingers from a pocket.
Dell’s Project Maverick: A Top-Secret Plan to Reinvent the Systems Behind AI
17
September
2025
No ratings yet.
When we think of disruptive business models today, we often look toward AI startups or consumer a. But some of the most radical change is happening inside legacy enterprises, far behind the scenes. Dell’s “Project Maverick” is a prime example of this silent disruptio
Unlike firms built from the ground up for AI, Dell is dealing with vast organizational resources: 4,700 applications, 70,000 servers, and over 10,000 databases. The plan, launched in late 2024, is to consolidate and modernize them into a standardized platform, initially affecting Dell’s Client Solutions Group in early 2026, followed by the Infrastructure Solutions Group (Business Insider, 2025).
Simultaneously, Dell is building out its AI infrastructure stack. With innovations in ObjectScale, the latest AI Data Platform update (developed with NVIDIA and Elastic) can handle everything from unstructured data ingestion to real-time analysis across massive datasets. New servers powered by Blackwell Ultra GPUs promise up to four times faster AI training than previous generations (Technology Magazine, 2025; Reuters, 2025).
Crucially, Dell is not doing this alone. The company has partnered with Deloitte consultants to guide Project Maverick and is advancing its AI Factory initiative. This combines hardware, software, and services so enterprise customers can deploy AI more seamlessly, whether on-prem or in the cloud (Business Insider, 2025; Technology Magazine, 2025).
However, scaling internal infrastructure is expensive and complex. Risks include delays, data migration errors, employee resistance, and the uncertainty of whether customers will immediately feel the benefit. The transformation may improve agility and capability, but only if Dell avoids another cycle of tech-debt accumulation.
Project Maverick demonstrates that true disruption often does not lie in flashy apps, but in the systems that support them. The question is: can Dell reinvent itself fast enough to compete with AI-native rivals, or will its outdated foundations prove impossible to escape?
Technology Magazine. (2025). “How Dell’s New AI Platform Turns Data into Instant Insights.” https://technologymagazine.com/news/how-dells-new-ai-platform-turns-data-into-instant-insights
Goodbye, BCG: How technology disrupts management consulting
6
October
2018
No ratings yet.When Clayton Christensen (ironically, a BCG alumna) introduced the definition of Disruptive Innovation, he predicted that management consulting disruption is still “early in the story”. However, one can see the waves have changed.
Management consulting is a prestigious industry. The whole industry is valued nearly $250B in 2018, with incumbents, like BCG, Bain or McKinsey, delivering their solutions to almost every other existing industry.
Fancy as it sounds, one may forget that management consulting is extremely human-centric, a fact that has not changed much ever since James O. McKinsey founded the firm back in 1926. Company assets are valued by the skillful, knowledgeable workforce, clients are billed by consulting hours, and human consultants are involved in the whole project. The empire of a man-run industry now faces the real challenge: will their existence be washed out by technologies, as many other industries were?
The Status Quo
In a report published by CB Insights, the traditional consulting business model revolves around four pillars Information, Expertise, Insight, and Execution. While some of these pillars are disrupted by other business models and/or shift in customer references, one outstanding trend present: Machine Learning tools and data automation systems will eventually dominate, if not wash out, the need for consulting firms in the Information and Expertise pillars.
CB Insights showcased how 4 pillars of management consulting are facing alternatives
This emerging trend is slowly invading the industry. Recently, clients of the Swiss bank UBS can now consult Alexa on their wealth-management tactics, according to an article by Harvard Business Review. In 2017, Harley-Davidson adopted Albert, an AI-driven marketing bot, to analyze and execute online marketing campaigns. Not only Amazon but other AI solution providers, such as Microsoft, Apple or AI start-ups, are ramping up to compete and challenge traditional consulting incumbents.
When one objectively judges the situation, the answer is pretty clear: AI can (potentially) perform expertise consulting better than human beings. AI tools can work relentlessly, while even the toughest, will-of-steel consultants would wear down after long work hours. AI can automatically gather and reach out to the essential data, a task which takes traditional consultant hours, or days, to finalize. Most important of all, AI tools are less likely to be biased. In fact, they are just as biased as their data input.
The future of management consulting
After all, does that mean that MBB firms are dying, and that we as BIM students should not apply for these firms? The answer is unlikely. Just as how consulting firms help change the operations of various businesses, its own business model is likely to undergo structural changes. A report by LexisNexis showed that management consulting firms are responding to the market by more automation in their solutions. The landscape of human resources demand is also changing, as management consulting firms are hunting for data-driven and IT gurus that can adapt and thrive with the new systems.
In conclusion, management consulting will remain powerful and impactful, just not in the exact same ways as it is now.
References
CB Insights Research. (2018). Killing Strategy: The Disruption Of Management Consulting. [online] Available at: https://www.cbinsights.com/research/disrupting-management-consulting/?utm_source=CB+Insights+Newsletter&utm_campaign=3ef8d25153-ThursNL_09_27_2018&utm_medium=email&utm_term=0_9dc0513989-3ef8d25153-90345441 [Accessed 6 Oct. 2018].
Libert, B. and Beck, M. (2017). AI May Soon Replace Even the Most Elite Consultants. [online] Harvard Business Review. Available at: https://hbr.org/2017/07/ai-may-soon-replace-even-the-most-elite-consultants [Accessed 6 Oct. 2018].
Power, B. (2017). How Harley-Davidson Used Artificial Intelligence to Increase New York Sales Leads by 2,930%. [online] Harvard Business Review. Available at: https://hbr.org/2017/05/how-harley-davidson-used-predictive-analytics-to-increase-new-york-sales-leads-by-2930?utm_campaign=hbr&utm_source=facebook&utm_medium=social [Accessed 6 Oct. 2018].
