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Ukraine Robot Army: 15,000 Combat Machines to Transform Warfare in 2025

Ironclad, one of many types of combat Uncrewed Ground Vehicle fielded by Ukrainian forces. Office of Mykhailo Federov

Ukraine has announced plans to field a staggering 15,000 combat robots, also known as Uncrewed Ground Vehicles (UGVs), by the end of 2025. This ambitious move is not only a response to manpower shortages but also a major leap in integrating robotics and artificial intelligence into modern combat. With a surge in defense contracts and rapid innovation, Ukraine is positioning itself as a global leader in military robotics.

Why Ukraine is Betting on a Robot Army

Ukraine’s decision to build a robot army is driven by a critical need to offset human losses. With hundreds of thousands of troops engaged and ongoing attrition from intense conflict, replacing human roles with machines has become a strategic necessity.

According to Kateryna Bondar, a fellow at the Wadhwani AI Center, the shortage of personnel has created an “existential need” for robotics on the battlefield. UGVs are seen as a solution for high-risk tasks where human involvement results in unacceptable casualty levels.

The Lyut 2.0 unmanned ground vehicle forms part of Ukraine’s robotic arsenal
The Lyut 2.0 unmanned ground vehicle forms part of Ukraine’s robotic arsenal

Scaling Up: From Drones to Ground Robots

Ukraine has already demonstrated its capability to scale rapidly in drone production, increasing from just a few thousand drones in 2022 to over 2 million in 2024. Now, the government is turning its attention to ground-based robotic systems.

The figure of 15,000 UGVs was cited by Hlib Kanevskyi, head of the Ministry of Defense, who revealed that UGV contracts jumped from $2.5 million in late 2024 to $150 million in Q1 2025. That’s a hundredfold increase, underscoring the urgency and importance of the program.

What Types of Combat Robots Are Being Deployed?

The UGVs being developed and deployed by Ukraine come in a variety of forms:

  • Wheeled and tracked robots for different terrain types
  • Minelaying and mine-clearing bots
  • Logistics UGVs for resupply missions
  • Casualty evacuation bots to retrieve wounded soldiers
  • Combat UGVs equipped with machine guns or explosive payloads

More than 70 different UGV types were tested in recent BRAVE1 trials, with 10-15 models currently seeing regular field use.

'Robot dog' being tested in Ukraine. These have not yet found a battlefield role
AFP via Getty Images
‘Robot dog’ being tested in Ukraine. These have not yet found a battlefield role AFP via Getty Images

Ukraine Robot Army at the Front Lines

Despite the high number of prototypes, only a few UGVs have made it to the front lines due to logistical and technical challenges. Transporting a 1,000-kilogram robot into combat zones, fueling it, or charging its heavy batteries is no small feat. Moreover, battlefield conditions such as mud, snow, and rough terrain create mobility issues for even the most rugged machines.

However, successful missions have been documented, including the first all-robotic assault using drones and UGVs conducted by the 13th National Guard Brigade. This operation, dubbed “assault without assault,” showed the potential of remote-controlled robots to soften enemy positions before human troops arrive.

Combat Robots in Support Roles

While direct combat operations pose many challenges, UGVs are proving highly effective in support roles:

Logistics Missions

UGVs can deliver up to 60 kilos of supplies, enough to resupply a troop position for several days. These missions replace humans on high-risk delivery routes often targeted by Russian FPV drones.

Casualty Evacuation

Though still considered a last resort, casualty evacuation by UGV has saved lives. One mission last month evacuated three wounded soldiers across 10 miles under artillery fire, involving over 50 personnel for coordination.

Surveillance and Defense

Remote-controlled turrets and weapon systems, often linked to drones for targeting, are increasingly used to defend static positions, reducing the need for troops in exposed trenches.

Human Cost of Uncrewed Ground Vehicles

Although called “uncrewed,” these systems still require significant human input:

  • UGV driver
  • Weapon operator
  • Drone operators (2 per team)
  • Electronic warfare specialists

Replacing one soldier can mean mobilizing a four-person crew and significant hardware, raising questions about cost-efficiency.

Zmiy - "Snake" — is a typical logistics UGV, a remote-controlled vehicle able to carry 1,100 pounds of cargo
Wikimedia Commons
Zmiy – “Snake” — is a typical logistics UGV, a remote-controlled vehicle able to carry 1,100 pounds of cargo Wikimedia Commons

The Role of Artificial Intelligence

The future of the Ukraine robot army lies in autonomy. AI-driven systems could dramatically reduce human intervention:

  • Self-navigation using autonomous drone imagery
  • Obstacle avoidance
  • Real-time decision making
  • GPS-independent operations

Yet, as Bondar notes, autonomous ground navigation is far from solved. Even commercial self-driving cars struggle with edge cases. The battlefield, with jamming, low visibility, and unpredictable terrain, is far more complex.

Humanoid Robots: Fact or Fiction?

While quadrupeds like robot dogs have been tested, results have been disappointing. Operators report issues like poor balance on plowed fields, getting stuck in mud, and lack of stealth.

Humanoid robots such as Tesla Optimus or Unitree G1 offer hope due to their potential for human-like mobility. However, their usefulness remains speculative:

  • High cost (Optimus is estimated at $30,000 and up)
  • Limited battery life (a few hours at best)
  • Untested in real combat

Until AI advances significantly, humanoids are not expected to replace soldiers, but might serve niche tactical roles.

Machines like Tesla's Core Technology Optimus humanoid robot could in theory offer a low-cost, mobile platform for military applications.
CFOTO/Future Publishing via Getty Images
Machines like Tesla’s Core Technology Optimus humanoid robot could in theory offer a low-cost, mobile platform for military applications. CFOTO/Future Publishing via Getty Images

Ukraine Robot Army: Strategic Impact

The deployment of 15,000 UGVs will likely reshape military tactics:

  • Enable deeper penetration into enemy lines with less risk
  • Automate resupply and evacuation
  • Conduct AI-enhanced reconnaissance
  • Form part of hybrid units with both human and machine fighters

Though they will not replace soldiers overnight, UGVs are carving out critical roles where human risk is highest. As production increases and AI improves, Ukraine’s robot army could serve as a model for future armed forces worldwide.

Conclusion: A Glimpse Into the Future of War

Ukraine’s plan to build a 15,000-strong robot army is unprecedented. While drones changed the skies, UGVs are poised to redefine ground combat. Their full potential will depend on advancements in autonomy, mobility, and affordability.

Until then, these robots will remain support players—but very powerful ones. As Bondar puts it, the next leap will come when a single human can command multiple robots simultaneously, shifting from operator to mission director. When that happens, warfare will never be the same.

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Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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AI Unmasks JFK Files: Tulsi Gabbard Uses Artificial Intelligence to Classify Top Secrets

AI Unmasks JFK Files: Tulsi Gabbard Uses Artificial Intelligence to Classify Top Secrets

Tulsi Gabbard used artificial intelligence to process and classify JFK assassination files, a tech-powered strategy that’s raising eyebrows across intelligence circles. The once-Democrat-turned-Trump-ally shared the revelation at an Amazon Web Services summit, explaining how AI streamlined the review of over 80,000 pages of JFK-related government documents.

Here are four important points from the article:

  1. Tulsi Gabbard used artificial intelligence to classify JFK assassination files quickly, replacing traditional human review.
  2. Trump insisted on releasing the files without redactions, relying on AI to streamline the process.
  3. Gabbard plans to expand AI tools across all U.S. intelligence agencies to modernize operations.
  4. Critics warn that AI-generated intelligence reports may lack credibility and could be politically manipulated.

AI Replaces Human Review in JFK File Release

Under the directive of Donald Trump’s Director of National Intelligence, the massive JFK archive was fed into a cutting-edge AI program. The mission? To identify sensitive content that still needed to remain classified. “AI tools helped us go through the data faster than ever before,” Gabbard stated. Traditionally, the job would have taken years of manual scrutiny. Thanks to AI, it was accomplished in weeks.

Trump’s No-Redaction Order Backed by AI Power

President Trump, sticking to his campaign promise, told his team to release the JFK files in full. “I don’t believe we’re going to redact anything,” he said. “Just don’t redact.” With AI’s help, the administration released the files in March, two months into Trump’s second term. Although the documents lacked any bombshells, the use of artificial intelligence changed the game in how national secrets are handled.

Gabbard Doubles Down on AI Across Intelligence Agencies

Gabbard didn’t stop at JFK files. She announced plans to expand AI tools across all 18 intelligence agencies, introducing an intelligence community chatbot and opening up access to AI in top-secret cloud environments. “We want analysts to focus on tasks only they can do,” Gabbard said, signaling a shift to privatized tech solutions in government.

Critics Warn of AI’s Accuracy and Political Influence

Despite the tech boost, many critics remain unconvinced, arguing that AI lacks credibility especially when handling handwritten, disorganized documents or those missing metadata. Concerns are rising that Gabbard is using AI not just to speed up workflows but to reshape the intelligence narrative in Trump’s favor. Reports suggest she even ordered intelligence rewrites to avoid anything that could harm Trump politically.

AI Errors Already Surfacing in Trump’s Team

This isn’t the only AI misstep. Last month, Health Secretary Robert F. Kennedy Jr. faced backlash after releasing a flawed report reportedly generated using generative AI. These incidents highlight the risks of relying too heavily on artificial intelligence for government communication and national policy.

Conclusion: AI in the Age of Transparency or Control?

Whether you view Tulsi Gabbard’s AI push as visionary or manipulative, one thing is certain: artificial intelligence is now a powerful tool in the hands of U.S. intelligence leadership. From JFK files to press briefings, the line between efficiency and influence is blurring fast.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

FDA’s Shocking AI Plan to Approve Drugs Faster Sparks Controversy

FDA’s Shocking AI Plan to Approve Drugs Faster Sparks Controversy

The FDA using artificial intelligence to fast-track drug approvals is grabbing headlines and igniting heated debate. In a new JAMA article, top FDA officials unveiled plans to overhaul how new drugs and devices get the green light. The goal? Radically increase efficiency and deliver treatments faster.

But while the FDA says this will benefit patients especially those with rare or neglected diseases experts warn the agency may be moving too fast.

Here are four important points from the article:

  1. The FDA is adopting artificial intelligence to speed up drug and device approval processes, aiming to reduce review times to weeks.
  2. The agency launched an AI tool called Elsa to assist in reviewing drug applications and inspecting facilities.
  3. Critics are concerned about AI inaccuracies and the potential erosion of safety standards.
  4. The FDA is also targeting harmful food additives and dyes banned in other countries to improve public health.

Operation Warp Speed: The New Normal?

According to FDA Commissioner Dr. Marty Makary and vaccine division chief Dr. Vinay Prasad, the pandemic showed that rapid reviews are possible. They want to replicate that success, sometimes requiring just one major clinical study for drug approval instead of two.

This FDA artificial intelligence plan builds on what worked during Operation Warp Speed but critics say it might ignore vital safety steps.

Meet Elsa: The FDA’s New AI Assistant

Last week, the FDA introduced Elsa, a large-language AI model similar to ChatGPT. Elsa can help inspect drug facilities, summarize side effects, and scan huge datasets up to 500,000 pages per application.

Sounds impressive, right? Not everyone agrees.

Employees say Elsa sometimes hallucinates and spits out inaccurate results. Worse, it still needs heavy oversight. For now, it’s not a time-saver it’s a trial run.

Critics Raise the Alarm

While the FDA drug review AI tool is promising, former health advisors remain skeptical. “I’m not seeing the beef yet,” said Stephen Holland, a former adviser on the House Energy and Commerce Committee.

The FDA’s workforce has also shrunk from 10,000 to 8,000. That’s nearly 2,000 fewer staff trying to manage ambitious reforms.

Food Oversight and Chemical Concerns

The agency isn’t stopping at drugs. The new roadmap also targets U.S. food ingredients banned in other countries. The goal? Healthier meals for children and fewer artificial additives. The FDA has already started urging companies to ditch synthetic dyes.

Drs. Makary and Prasad stress the need to re-evaluate every additive’s benefit-to-harm ratio, part of a broader push to reduce America’s “chemically manipulated diet.”

Ties to Industry Spark Distrust

Despite calls for transparency, the FDA’s six-city, closed-door tour with pharma CEOs raised eyebrows. Critics, including Dr. Reshma Ramachandran from Yale, say it blurs the line between partnership and favoritism.

She warns this agenda reads “straight out of PhRMA’s playbook,” referencing the drug industry’s top trade group.

Will AI Save or Sabotage Public Trust?

Supporters say the FDA using artificial intelligence could cut red tape and get life-saving treatments to market faster. Opponents fear it’s cutting corners.

One thing is clear: This bold AI experiment will shape the future of medicine for better or worse.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

AI in Consulting: McKinsey’s Lilli Makes Entry-Level Jobs Obsolete

AI in Consulting: McKinsey’s Lilli Makes Entry-Level Jobs Obsolete

McKinsey’s internal AI tool “Lilli” is transforming consulting work, cutting the need for entry-level analysts and the industry will never be the same.

McKinsey & Company, one of the world’s most influential consulting firms, is making headlines by replacing junior consultant tasks with artificial intelligence. The firm’s proprietary AI assistant, Lilli, has already become an essential tool for over 75% of McKinsey employees and it’s just getting started.

Introduced in 2023 and named after Lillian Dombrowski, McKinsey’s first female hire, Lilli is changing how consultants work. From creating PowerPoint decks to drafting client proposals and researching market trends, this AI assistant is automating tasks traditionally handled by junior consultants.

“Do we need armies of business analysts creating PowerPoints? No, the technology could do that,” said Kate Smaje, McKinsey’s Global Head of Technology and AI.

Here are four important points from the article:

  1. McKinsey’s AI platform Lilli is now used by over 75% of its 43,000 employees to automate junior-level consulting tasks.
  2. Lilli helps consultants create presentations, draft proposals, and research industry trends using McKinsey’s internal knowledge base.
  3. Despite automation, McKinsey claims it won’t reduce junior hires but will shift them to more high-value work.
  4. AI adoption is accelerating across consulting firms, with Bain and BCG also deploying their own proprietary AI tools.

What Is McKinsey’s Lilli AI Platform?

Lilli is a secure, internal AI platform trained on more than 100,000 proprietary documents spanning nearly 100 years of McKinsey’s intellectual property. It safely handles confidential client data, unlike public tools like ChatGPT.

Consultants use Lilli to:

  • Draft slide decks in seconds
  • Align tone with the firm’s voice using “Tone of Voice”
  • Research industry benchmarks
  • Find internal experts

The average McKinsey consultant now queries Lilli 17 times a week, saving 30% of the time usually spent gathering information.

Is AI Replacing Junior Consultant Jobs?

While Lilli eliminates the need for repetitive entry-level work, McKinsey claims it’s not reducing headcount. Instead, the firm says junior analysts will focus on higher-value tasks. But many experts believe this is the beginning of a major shift in hiring.

A report by SignalFire shows that new graduates made up just 7% of big tech hires in 2024, down sharply from 2023 a sign that AI is reducing entry-level opportunities across industries.

McKinsey Isn’t Alone AI in Consulting Is Booming

Other consulting giants are also embracing AI:

  • Boston Consulting Group uses Deckster for AI-powered slide editing.
  • Bain & Company offers Sage, an OpenAI-based assistant for its teams.

Even outside consulting, AI is replacing traditional roles. IBM recently automated large parts of its HR department, redirecting resources to engineers and sales.

The Future of Consulting: Fewer Grads, Smarter Tools?

As tools like Lilli become smarter, the traditional consulting career path could be upended. Analysts once cut their teeth building slide decks and summarizing research tasks now being handled instantly by AI.

This shift could:

  • Make entry into consulting more competitive
  • Push firms to seek multi-skilled junior hires
  • Lead to fewer entry-level roles and leaner teams

Final Thoughts: Adapt or Be Replaced?

AI is no longer a distant future it’s today’s reality. Whether you’re a student eyeing a consulting career or a firm leader planning future hires, the consulting world is changing fast. Tools like Lilli are not just assistants they’re redefining the role of the consultant.

The future of consulting lies in AI-human collaboration, but it may also mean fewer doors open for newcomers.

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Picture of Faizan Ali Naqvi
Faizan Ali Naqvi

Research is my hobby and I love to learn new skills. I make sure that every piece of content that you read on this blog is easy to understand and fact checked!

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