The weirdest AI use cases Fierce Network is watching right now

AI is a breakthrough that is revolutionizing business and society. It's also bonkers — and so far short on proving ROI for many businesses in the comms space.

In this ongoing new tracker, the editorial team here at Fierce Network is taking turns writing about strange, surprising and slightly unsettling AI trends and use cases — and then ranking their potential ROI for telcos on a scale of 1-5.

Yes, this is a highly unscientific trend piece, but one we hope will bring levity to your day.

Come back to this page for occasional updates on the latest in weird and/or unsettling AI. We'll be updating it as we see fit.

If you hear about a weird AI development that we should know about, email us at fiercenetwork@questex.com.


Friday, Feb. 20, 2026

Use case: Researchers at MIT Sports Lab are applying AI to figure skating

Fierce ROI rank (1-5): 3

Jerry Lu Mfin developed an optical tracking system that uses AI to analyze video of a figure skater's jump and recommend improvements. He's also working with NBC Sports to help Olympics commentators and TV viewers make better sense of scoring and judging figure skating, snowboarding and skiing. 

Meanwhile, Professor Anette "Peko" Hosoi, co-founder and faculty director at the MIT Sports Lab, is researching how AI systems evaluate aesthetic performance in figure skating. 

Hosoi's research can help answer profound questions about AI, such as: "When you ask an AI platform for an aesthetic evaluation such as 'What do you think of this painting?' it will respond with something that sounds like it came from a human," she said. "What we want to understand is, to get to that assessment, are the AIs going through the same sort of reasoning pathways or using the same intuitive concepts that humans go through to arrive at, ‘I like that painting,’ or ‘I don’t like that painting’? Or are they just parrots?"

Figure skating is a great subject to explore that question because scores are both aesthetic and numerical. Answering these questions could be a step on the path to artificial general intelligence (AGI). 

Source: 3 Questions: Using AI to help Olympic skaters land a quint [MIT News]

Fierce Network's take

We can see this tech being used for a lot more than just figure skating, snowboarding and skiing. AI that can evaluate aesthetics could be useful in comms industry scenarios like app design, self-service portals, smart city design and even outside plant and cell tower design (better-looking fake trees!).

Use Case: A robot that folds laundry

Fierce ROI rank (1-5): 2.5

Weave launched an $8,000 robot that will fold your laundry — but not all of it. It can't do large blankets, bedsheets, or anything that came from the washer inside-out. If they can do a robot that folds fitted sheets, that will be a sign that AI researchers have at last achieved their dream of superintelligence.

Source: This $7,999 robot will fold (some of) your laundry [The Verge - subscription required]

Fierce Network's take

We don't imagine telcos have a lot of laundry to fold (duh!) but this is an interesting use case for something Diana Goovaerts, Dan Jones and Mitch Wagner have been writing about for a few months — physical AI. Physical AI is the next-level agentic AI — or AI that is applied by machines to understand and enable complex interactions with the world, for example: robots, drones, autonomous vehicles and the like. Gartner named physical AI as one of the top trends for 2026 and predicted that half of the top AI vendors will offer physical AI products by 2028 and 80% of warehouses will use robotics or automation by the same year, wrote Goovaerts in November 2025. We expect to see a lot of it at Mobile World Congress 2026 in Barcelona in just a few weeks.

Use case: A social network for AI agents

Fierce ROI rank: 3.8

Moltbook is a Reddit-style social network where only AI agents are allowed to participate — humans can join, but only to observe. Some posts discuss technical workflows, like automating Android phones or detecting security vulnerabilities. Others get philosophical, where an AI agent complains that it's embarrassing to frequently forget things to avoid bumping up against memory limits. Bots have reportedly even created sub-communities where they speculate about their own consciousness and complain affectionately about their human operators.

Or is that really what's going on? Security researchers say they've found evidence that much of the activity on Moltbook is scripted by humans. And researchers also note that the platform is rife with security vulnerabilities. 

Sources: AI agents now have their own Reddit-style social network, and it’s getting weird fast [Ars Technica], There’s a social network for AI agents, and it’s getting weird and Humans are infiltrating the social network for AI bots [The Verge]

Fierce Network's Take

Whether Moltbook is real or a hoax — or parts are real and other parts are a hoax — the platform mirrors real-world emerging challenges that telcos face. Networks must handle growing volumes of machine‑to‑machine communication, detect malicious or deceptive bot activity moving across their infrastructure, and ensure their own AI‑based operations don’t drift into unpredictable or unsafe behaviors. Moltbook also highlights opportunities for telcos to become trusted providers of secure identity, connectivity, and compute for increasingly autonomous AI ecosystems.

— Mitch Wagner and Elizabeth Coyne contributed to this edition.


Once again, come back to this page for occasional updates on the latest in weird and/or unsettling AI. We'll be updating it as we see fit.

And if you hear about any weird AI developments, let us know by emailing fiercenetwork@questex.com.