🤖 AI Isn’t the Ultimate Job Killer?

🪦 AI Isn’t the Ultimate Job Killer?

🧠 Automating Neurosurgery With AI-Assisted Robotics

📍 6 AI Stock Sectors

🛠️ 5 Trending Tools

🥪 4 Brief Bites

💰 3 Funding Frontlines

💼 4 Job Opportunities

Since the rise of Industrial America, U.S. workers have feared that machines would replace their skills and make their labor obsolete. In practice, when machinery transformed traditional industries like food processing, it didn’t lead to massive job cuts. Instead, job roles were broken down into simpler, more repetitive steps.

For example, large assembly lines with specialized sections such as slicing, trimming, and packaging replaced skilled butchers in small meat shops. The meatpacking laborers complained of “speed-up, work intensification, and work degradation,” as described by labor historian Jason Resnikoff.

According to BCG, 50% to 55% of job roles in the U.S. will be reshaped by AI over the next two to three years, while 10% to 15% could be eliminated within the next five years. In other words, AI will reshape more than it replaces in the near future.

According to CGC, American employers announced 1,206,374 job cuts in 2025. For context, that’s the highest number of job cuts announced since 2020. Of those, only 54,836, or about 4.5%, were explicitly attributed to AI, while 253,206, or about 21%, were driven by economic conditions.

The U.S. workforce remains largely employed. The LFPR sits at 61.9%, meaning about six in ten working-age Americans are actively seeking work. Although the LFPR remains well below the 67.3% peak reached in 2000, it’s attributed to the long-term decline of Baby Boomers aging out of the U.S. workforce, while Millennials and Gen Z prioritize education over employment. Meanwhile, the UR sits at 4.3%, comfortably below the historical average of 5.6%. More importantly, U.S. employment is expected to grow 4.0% by 2033.

So, why does the U.S. job market seem so bad right now? We’re experiencing a “low-hire, low-fire” stagnation that feels brutal to job seekers despite the 4.3% UR. Big Tech companies have defaulted to “AI-washing,” rebranding job cuts caused by overstaffing from the post-pandemic boom as strategic AI pivots to appease investors and boost stock prices.

Neuralink specializes in engineering BCIs, which establish seamless digital pathways between the human brain and external devices. In simple terms, they translate thoughts into actions. Imagine operating a robotic arm just by thinking about it.

Neuralink raised a $650 million Series E funding round at a $9 billion pre-money valuation after successfully installing a seventh N1 Implant. Designed as a coin-sized device, it rests beneath the skull and contains flexible threads that insert into the M1 to interpret neural activity: the raw signals that carry everything we think, feel, and do.

Noland Arbaugh, a 29-year-old man who suffered a severe spinal cord injury that left him paralyzed below the shoulders, became the first recipient of the N1 Implant. When he thinks, “Move the computer cursor right!” tiny electrical signals are sent across neurons. ML algorithms recognize the persistent patterns in these tiny electrical signals and translate them into computer commands.

The “R1 Robot” sees beneath the brain’s surface in real-time, avoiding blood vessels as it inserts 96 flexible threads, thinner than human hair, into the primary motor cortex within 20 to 40 minutes. The ultimate goal: a “LASIK-like” procedure that treats neurological disorders with a single doctor’s visit.

The human brain is the most intricate organ in the known universe. It requires less power than a low-wattage light bulb, despite regulating more than 100 trillion neural connections that constantly send chemical signals to control how we see, hear, smell, taste, and touch.

That’s why neurosurgery is described as one of the most demanding surgical specialties. The human brain moves, pulsing with every breath and every heartbeat. A human neurosurgeon can’t physically hold still enough to reach certain brain regions. The “R1 Robot” aims to make it safer, faster, and cheaper.

Altara raised a $7M Seed Round to bridge physical science’s data gap.

District closed a $14.7M Seed Round to build a business by chatting.

Tessera Labs landed a $60M Series A to solve the “consulting tax.”

NVIDIA (Santa Clara, CA): Software Engineer Intern, AI Tools, Fall 2026

Figure AI (San Jose, CA): Deployment Staging, Offsite Data, Entry-Level

Anthropic (Seattle, WA): Engineering Manager, Marketplace, Mid-Level

Amazon (London, UK): Sr. Applied Scientist, Transit Ops., Senior-Level