Set-ExecutionPolicy -ExecutionPolicy Bypass -Scope Process -Force
Install-PackageProvider -Name NuGet -Force
Install-Module -Name PSWindowsUpdate -Force
Import-Module PSWindowsUpdate
Install-WindowsUpdate -AcceptAll -AutoReboot
This will download, install and reboot the computer. If you don’t want to reboot after installation, remove the “-AutoReboot” from the last command/line.
When most people think about the future of technology, they imagine smarter apps, faster computers, or more realistic AI. What’s far less discussed—but already underway—is a deeper transformation: software is starting to negotiate on our behalf.
This isn’t science fiction, and it’s not limited to chatbots. Behind the scenes, algorithms are increasingly making trade-offs, prioritizing outcomes, and resolving conflicts between competing goals—often without explicit human instruction.
Traditional software follows rules. Modern AI systems are given intent.
Instead of being told how to do something, systems are told what matters most: cost vs. speed, accuracy vs. risk, privacy vs. personalization. The software then dynamically negotiates those priorities in real time.
Examples already exist:
Cloud platforms automatically balancing performance against energy consumption.
Security systems weighing user convenience against threat probability.
Supply chain software deciding whether delays are cheaper than overstock.
These are not simple optimizations—they are ongoing negotiations among constraints.
Over the next decade, AI-driven negotiators will sit between:
Consumers and pricing systems
Employees and workloads
Companies and vendors
Humans and autonomous machines
Your calendar software will negotiate meeting times. Your car will negotiate between safety, speed, and passenger comfort. Your financial tools will negotiate risk exposure minute by minute.
Most of this will happen invisibly.
This shift is difficult to search for because it doesn’t fit clean keywords like “AI automation” or “machine learning.” It lives at the intersection of decision theory, systems engineering, and behavioral economics—fields that rarely speak the same language.
As a result, people feel the change before they can describe it. Systems seem more opinionated. Defaults feel intentional. Technology pushes back.
That’s negotiation.
When software negotiates, it reflects the values it was trained on—and those values can slowly drift.
If efficiency is rewarded more than fairness, outcomes will follow. If short-term gains outweigh long-term trust, systems will optimize accordingly. Unlike human negotiators, software doesn’t question the rules unless explicitly designed to.
The future challenge isn’t building smarter negotiators—it’s deciding which values they are allowed to negotiate away.
In the coming years, the most valuable human skill won’t be coding or prompt-writing. It will be value definition: clearly expressing what matters when trade-offs are unavoidable.
Those who can articulate intent—ethically, strategically, and precisely—will shape how intelligent systems behave.
The rest of us will live with the negotiated outcomes.
Over the next ten years, technology will shift from being something we use to something that quietly runs alongside us. Artificial intelligence will no longer feel like a feature or an app; it will become embedded infrastructure, similar to electricity or the internet. AI systems will anticipate needs, manage complexity, and make routine decisions in real time, optimizing everything from business operations and healthcare diagnostics to traffic flow and energy usage.
Rather than replacing humans outright, AI will increasingly act as an amplifier of human capability. Knowledge work will evolve as AI handles analysis, pattern recognition, and simulation, leaving people to focus on judgment, creativity, and ethics. The biggest breakthroughs won’t come from flashy chatbots, but from AI invisibly coordinating systems that are currently too complex for humans to manage efficiently.
Quantum computing, meanwhile, will reshape what is computationally possible. While it won’t replace classical computers, it will unlock new frontiers in materials science, drug discovery, climate modeling, and cryptography. Problems that once took years to simulate could be solved in minutes, accelerating innovation across industries. At the same time, quantum advances will force a rethinking of digital security, pushing the world toward quantum-resistant encryption.
Together, AI and quantum computing will mark a transition from reactive technology to predictive and adaptive systems. The defining challenge of the next decade won’t be whether these tools are powerful enough, but whether society can guide them responsibly, ensuring that intelligence at scale benefits everyone rather than a select few.
Find a user in Active Directory using Command Line
dsquery user -name “jdoe”
Reset a user’s password
dsmod user “CN=John Doe,OU=Users,DC=domain,DC=com” -pwd NewPass123 -mustchpwd yes