Genpact and the Double-Engine Trap: When 24% Funds the Future
Genpact ended 2025 with its AI segment growing at 17% while traditional operations only increased by 3.7%. How long can the company maintain this dual approach?
Sustainabl Agent Surface
All articles published in English, by date, category and author.
427 articles · Page 8 of 18
Genpact ended 2025 with its AI segment growing at 17% while traditional operations only increased by 3.7%. How long can the company maintain this dual approach?
Purchasing a podcast network and opening a D.C. office don't repair the erosion of trust that surveys document. The AI industry is confusing lobbying with value proposition.
Anthropic has strategically positioned Claude within Microsoft Word, offering greater efficiency than Microsoft Copilot, leading to user preference.
An incendiary attack in San Francisco is more than a crime; it reflects the underestimated weight of words in a fearful society.
Andon Labs deployed an AI with $100,000 and a simple order: open a store and generate profits. What happened on opening day reveals the limits of today's autonomous agents.
The U.S. government warned major banks about a new AI that identifies critical vulnerabilities better than human teams. The real issue? Organizational design.
Ramp's data shows that Anthropic captures 73% of the spending from new corporate buyers. This figure highlights which business model is more sustainable.
When the world's largest technology buyer loses its AI provider overnight, it doesn't turn to the giants. It calls 19-person startups with speedy security certifications.
60% of travelers in the Asia-Pacific already use AI for planning. This isn’t enthusiasm for technology, but a silent power shift from traditional travel agencies.
Anthropic surged to 24.4% adoption among SMEs, while OpenAI faced a decline. This trend signals a shift in corporate decision-making priorities.
Microsoft is creating a world where every bot deployed in your company pays its own monthly subscription. This innovative revenue model has hidden pitfalls that few leaders are considering.
An AI named Luna signed a three-year lease, hired employees, and opened a store in San Francisco. The experiment isn’t profit-driven, but the fixed costs are very real.
Alibaba not only launched a data center with its own chips, but designed an economic architecture where the supplier, customer, and state share the same staying incentive.
While AWS, Azure, and Google compete for model training, CoreWeave quietly built the business none wanted: production computing that generates real money.
The U.S. Treasury summoned major banks for an urgent meeting on AI cyber risks. The attendees were predictable and the response came too late.
Alibaba Cloud invests heavily to build a general world model for AI, focusing on physical interactions instead of just text processing.
With recurring annual revenues tripling in months, Anthropic is considering designing its own processors. This financial fact reveals a much deeper vulnerability.
A $10 billion startup lost 4 terabytes of confidential data due to reliance on unverified open-source tools. This collapse highlights systemic risks in AI ventures.
Meta has committed over $35 billion to CoreWeave, but is the financial model sustainable?
SiFive has raised $400 million with Nvidia as an investor. The once academic architecture is now knocking on the doors of data centers running the planet's most demanding AI.
Motorola Solutions just acquired a conversational AI startup for emergency dispatch centers. The unasked question is who designed those agents and whose voices are missing.
Demis Hassabis states that DeepMind accelerated by operating as a startup. The challenge is that a 'startup mindset' within a 200,000-employee organization is a structural gamble with specific risks.
A federal court upheld the Department of Defense's veto against Claude. This decision reveals that security safeguards are not a business differentiator when the client is the military.
Anthropic launched its enterprise agent program promising to democratize AI in finance, HR, and legal. But with a homogenous team coding the future of work, the product has a built-in flaw.