Imran Anwar, founder of Internet email, co-founder of .PK ccTLD, pioneer of credit card industry in Pakistan, comments on topics of interest to everyone. From timely news to timeless movies, elections to electronics, cloud computing to strategic marketing, and everything interesting in between. Read these sometimes serious, sometimes tongue in cheek opinions, add your comments. Click Like! on the FaceBook button. Share the post on FaceBook and socials.
Monday, March 23, 2026
Where the AI Budget Goes, the Truth Eventually Follows - IMRAN®
I have been thinking a great deal about a question that keeps surfacing in conversations with executives, investors, operators, and advisors. "Where is the enterprise AI budget really going?" Not the headlines. Not the hype. Not the polished stagecraft of conferences and keynote demos. The real budget.
Because that is where serious business and opportunity show up. Hype can travel for a long time on excitement, fear, branding, and borrowed momentum. Budget is less sentimental. Budget has a way of forcing clarity. It reveals what leaders actually believe will matter, what boards will support, what CFOs will defend, and what enterprises think is worth operationalizing rather than merely admiring.
And the picture is starting to come into focus. Some of what looked differentiated a year ago is already beginning to feel interchangeable. Some AI initiatives that once lived comfortably in the land of experimentation are now being pushed to justify themselves in the colder language of operating budgets, recurring value, and measurable return. Some vendors will emerge with real staying power. Many will not.
That is part of why this moment is so interesting. AI is no longer just a story about technological possibility. It is becoming a story about money, discipline, execution, trust, and leadership. The center of gravity is shifting. Quietly, but unmistakably. I will share a few thoughts on that in the posts ahead. Share any questions you feel are not being asked or answered.
© 2026 IMRAN®
EnterpriseAI, GenerativeAI, GenAI, DigitalTransformation, CIO, CTO, AIAdoption, Leadership, IMRAN, Artificial Intelligence
Friday, December 05, 2025
AGENTIC AI: From Automation to Ecosystem Transformation - IMRAN®
AGENTIC AI: From Automation to Ecosystem Transformation - IMRAN®
(Part 1 of a 4-part series to help guide you to maximum success with Agentic AI).
The Opportunity
Imagine this: You used to spend days mapping out every step of a business process—requisition, vendor selection, invoice processing, payment execution. Now, you simply set a goal, and agentic AI orchestrates the workflow, adapting in real time, escalating exceptions, and freeing your team for strategic work. That’s not science fiction; it’s happening right now in boardrooms and server rooms across the globe.
The New Reality: Agentic AI in Action
At AWS re:Invent 2025, the buzz was all about agentic AI. AWS unveiled new partner categories, agent builder tools, and marketplace innovations, all designed to help enterprises deploy autonomous solutions with just a few clicks. Their partnership with OpenAI—a $38B deal—signals a new era of scale and sophistication. Microsoft, meanwhile, is integrating agentic AI into everything from Windows to Azure, positioning Copilot as the productivity engine for the modern enterprise. Google’s Gemini 3 and Vertex AI Agent Builder are pushing boundaries, making it easier than ever to build agentic solutions for any industry.
But it’s not just the tech giants. Enterprises are using agentic AI to automate contract negotiation, create purchase orders, process invoices, and execute payments. The results? Cycle times slashed by 50–70%, up to 80% touchless processing, and teams reallocated to higher-value tasks. In developer workflows, agents scaffold UI flows, adapt component libraries, and even push code fixes based on customer error reports. Prompt-to-prototype cycles now take minutes, not weeks.
Why Partnerships Matter
Here’s something every CIO should know: The winners in agentic AI are building alliances. OpenAI, Microsoft, Google, AWS, Stripe, Shopify, NVIDIA—these are the names shaping the standards, stitching together fragmented tools, and controlling the future of agentic commerce. Ecosystem fragmentation is real, but strategic partnerships are the glue that holds it all together.
The Challenges (and How to Win)
Of course, it’s not all smooth sailing. Data access wars, trust and accuracy in AI recommendations, payment security, and protocol fragmentation are top of mind for every tech leader. Success requires robust governance, compliance oversight, and new roles—AI supervisors, governance leads, and professionals fluent in Python, RPA, ERP, and AI ethics.
The Leader’s Perspective
Having spent exactly 4 decades in enterprise tech, I’ve seen automation evolve from static scripts to dynamic, goal-seeking agents. What separates agentic AI from the client-server and cutting edge cloud platforms I helped build at great companies like Microsoft and Cisco is intent. These agents don’t just follow instructions—they reason, adapt, and collaborate across ecosystems. Early adopters are already reporting 10–25% EBITDA gains, and the momentum is only building.
Ready to Transform?
Agentic AI isn’t just a technology upgrade—it’s a new operating model. If you’re ready to see how agentic AI can stop just automating tasks and start executing goals in your organization, let’s connect for a 1-hour intro brief. My organizations evertrac.co and cloud9global.net are designed to help you navigate this transformation—whether you’re piloting agentic workflows, building developer tools, or reimagining the future with quantum and telematics. Visit my LinkedIn profile http://linkedin.com/in/imran for more insights and message me to schedule a strategy session.
What's Next?
In my next article, I’ll tackle the critical challenge every leader faces: building trust and governance into agentic AI systems. We’ll dive deep into how organizations can ensure reliability, compliance, and observability as they scale autonomous agents—so stay tuned!
© 2025 IMRAN®
Wednesday, November 26, 2025
Is CX Dead—or Just Drowning in Data? - IMRAN®
Monday, November 10, 2025
Bubble Or Balloon? From Silicon Dreams To AI Hype Nightmare Risks: A Veteran’s Warning - IMRAN®
Bubble Or Balloon? From Silicon Dreams To AI Hype Nightmare Risks: A Veteran’s Warning - IMRAN®
I’ve spent my life in tech—not watching from the sidelines, but architecting, building, and advising through every major wave: the personal computer revolution, the rise of the internet, the explosion of the web, the shift to cloud, and now the AI era. Each phase brought real transformation. But each also attracted speculative frenzy. And every time, I’ve called the bubble before it burst.
This past week, I wrapped a strategic consultation with the CEO, CIO, and CFO of a global tech-finance giant. Our sessions spanned infrastructure, capital allocation, and long-term innovation cycles. What emerged was a sobering pattern—and a familiar warning.
Today, hyperscalers are pouring over $320 billion into data center buildouts, racing to lay the groundwork for AI’s future. Meanwhile, Nvidia—whose chips power much of this buildout—has soared to a staggering $5 trillion valuation. These chips aren’t just processors—they’re the new oil rigs of digital intelligence. But the velocity of investment is outpacing the clarity of purpose. Everyone’s building. Few are asking why. Fewer still are asking what comes next.
AI is real. It will outlast us. But the current capital stampede feels eerily like the dot-com era. Back then, the internet was revolutionary—but billions were burned chasing unsustainable “dog-coms.” Today, we risk repeating that cycle with AI-native startups, GPU-saturated cloud zones, and speculative infrastructure bets.
And it won’t stop here.
I predict the next hype cycle will hit quantum computing between 2030–2035—driven by breakthroughs in error correction, entanglement scaling, and sovereign quantum zones. By 2050, bio-computing and DNA-based logic systems will trigger another wave, promising molecular-scale computation and biologically integrated networks. These will be real. But the speculative frenzy around them will be just as dangerous.
Here’s the deeper truth: just one phase of this AI buildout—one hyperscaler’s annual spend—could fund global food security, clean water access, or universal education. We’re not short on capital. We’re short on clarity, courage, and conscience.
The lesson? Vision without discipline isn’t innovation—it’s speculation. We must fund what solves real problems, not what chases headlines. We must build with clarity, not just capacity. And we must remember that the internet survived the dot-com crash because it was real. AI will survive this hype cycle too—but only if we protect its integrity now.
I’ve seen this movie before. I know how it ends. But I also know how it begins again—with smarter choices, sharper questions, and a refusal to follow the herd off a cliff.
This article distills insights from a one-week strategic engagement with a global tech-finance client—where we explored AI infrastructure, capital risk, and long-term innovation cycles. If you’re a founder, investor, or enterprise leader navigating similar questions, let’s connect. These conversations are already happening at the highest levels. The question is: are you asking the right ones? I am here to help.
© 2025 IMRAN®
Monday, December 25, 2017
Word To The Wise! A Picture IS Worth A Thousand Words! - IMRAN™
I was delighted to see this cool & powerful Microsoft feature in Office 365. Now you can search for words in your images in #Microsoft #Office365!
With such algorithms and more & more Artificial Intelligence in use in all types of software, I predict the end of differentiating between text and image files, with it all being seamless information available to us and our tools.
What do you think?
© 2017 IMRAN™

