Martin Shkreli is making waves again, this time with a strategic bet on Q/C Technologies Inc. (QCLS) and a prediction that might sound wild at first: optical computing, not quantum, represents the future of high-performance AI hardware. His near-term price target? A cool $100 per share.

The investment thesis isn't just gut feeling. Shkreli is hanging his hat on fresh scientific validation from Microsoft Corp. (MSFT), specifically a new research paper published in Nature that outlines how photonics-based systems could revolutionize computing performance. If he's right, we're looking at a major hardware transition that could reshape the AI landscape over the next decade.

Why Light Beats Quantum, According to Shkreli

In a series of posts on X, Shkreli laid out his contrarian view. "Frontier computing is optical, not quantum," he declared, coining the term "quantum class" to describe the technology's potential without the quantum hype. His argument centers on speed: photonic systems can handle the massive matrix multiplications AI demands far faster than traditional GPUs, and they do it using light instead of electrons.

Shkreli didn't mince words about the competition, either. "I'm still bearish on quantum," he wrote, claiming that QCLS and its Israeli partners have demonstrated results "more impressive than current quantum stocks." He even volunteered to serve as CEO of the company "if allowed by Trump," adding his characteristic flair to the endorsement.

Microsoft's Nature Paper Changes the Game

The scientific backbone of Shkreli's thesis comes from Microsoft's newly published paper titled "Analog optical computer for AI inference and combinatorial optimization." The study introduces an Analog Optical Computer (AOC) designed to tackle the exact performance bottlenecks that plague modern AI hardware.

Here's what makes it interesting: the AOC uses a "dual-domain" approach that combines analog electronics with 3D optics. By encoding data in light intensity and performing calculations at literal light speed, the system sidesteps the energy-hungry digital conversions that slow down conventional chips. According to the research, this architecture achieved efficiency gains exceeding 100 times those of leading GPUs.

The researchers didn't just theorize, either. They demonstrated real-world applications including medical image reconstruction and financial transaction settlements, proving the technology works beyond the lab. Shkreli urged his followers to read the study, predicting that "all of the large companies will have an optical computing plan in the next 5-10 years."

The Technical Case for Photonics

What Microsoft's research validates is the core operational advantage Shkreli sees in optical computing. Current digital chips are memory-bottlenecked, meaning they can't move data fast enough to keep processors fully utilized during AI inference tasks. Photonic systems eliminate this constraint by processing information optically, avoiding the constant back-and-forth between memory and processor that creates the bottleneck.

The technology performs complex optimization problems and AI inference tasks by manipulating light rather than shuffling electrons around silicon. It's a fundamentally different approach to computation, and one that Shkreli believes signals an imminent hardware revolution. The fact that Microsoft is publishing serious research on analog optical computers suggests the idea has moved well beyond speculative territory.

The Reality Check: QCLS Performance

Now for the uncomfortable part. While Shkreli's $100 target sounds ambitious, QCLS stock closed Wednesday at $4.67 per share, up a dramatic 38.17% for the day. It gained another 3.43% in after-hours trading. That's the good news.

The bad news? The stock has crashed 95.94% year-to-date and 96.14% over the past year. It maintains weak price trends across short, medium, and long-term timeframes. Getting from $4.67 to $100 would require a more than 2,000% rally, which means Shkreli is betting on either a massive revaluation of the technology's commercial potential or a fundamental market shift toward optical computing.

Whether that bet pays off depends on how quickly the broader tech industry adopts photonics for AI workloads and whether QCLS can position itself as a meaningful player in that transition. Microsoft's research suggests the technology is maturing, but translating scientific breakthroughs into commercial success remains the harder challenge. For now, Shkreli is placing his chips on light over qubits, and he's not shy about it.