Gross Margin turns positive
Signal: POET stops losing money per unit.
Written by Kate Leaman
Kate Leaman
Financial Journalist and Market Analyst
Kate Leaman is a seasoned financial analyst and writer with over a decade of experience covering global markets, trading strategies, and macroeconomic trends. She has written for a variety of well-known brokers and has been featured in Forbes, Yahoo Finance, Sky News, The Motley Fool, MSN and Investing.com. using our CLEAR™ Methodology The CLEAR™ Score (Credibility, Leverage, Execution, Accessibility, Regulation) is our proprietary ranking system. The CLEAR™ Score provides you with the most accurate and transparent broker ranking after evaluating all the key factors that are crucial for trading success. .
Last fact check on December 28, 2025 by
Shaun David
Shaun David
Regulation • Trading Algorithms • Market Analysis
I’m extremely passionate about the financial markets and working with innovative technology that makes trading better and safer. Since joining the CleaRank team, my primary role is working with real-time broker performance data using the CLEAR™ technology and broker evaluation methodology. I investigate brokers by testing their platforms and uncovering hidden risks and costs. My end goal is to level the playing field for traders and With an extensive background in market analysis and algorithmic trading, I’m qualified to find what matters most to traders.
In 1905, Albert Einstein revealed that nothing moves faster than the speed of light, there’s no matter or energy that can move faster than it. We wonder if he imagined that this would become the foundation of all modern communication?
After all, the modern world runs on AI and unprecedented amounts of data are transferred every second. Regular electrical wires are no longer sufficient to meet modern communication requirements as they heat up, waste energy, and simply slow everything down.
Until now, data centers were relatively small with a few hundreds of servers and electrical wiring enough to do the job. But hyperscalers like Google, Amazon, and Microsoft are now building massive factories with thousands and even millions of GPUs, which require enormous amounts of power and expensive cooling. Traditional copper-based systems simply can’t scale to meet these requirements.
Photonics uses light instead of electrons to transmit data. Light can transmit data farther, faster, and with much less heat. But electronic chips that work with electricity and optical components that work with photons simply don’t speak the same language. It’s like a conversation between two people from different countries without a translator.
This is precisely where POET Technologies (NASDAQ: POET) steps in to fill the gap. They create a smart translator between electricity and light.
“Communication is likely to be the main bottleneck beyond compute. Whoever can get electrons and photons speaking the same language will control the future of AI infrastructure.”
Shaun David, CleaRank Co-Founder
POET develops integrated optoelectronic solutions that serve as the translator between electrons and photons, enabling high-speed data transmission inside data centers.
Their core innovation is an optical interposer, which is a smart silicon-based board with a unique patented design that integrates electronic and photonic components efficiently.
The company’s first commercial product is a ready-made optical engine called the Blazer, which customers integrate into their hardware to significantly improve data transfer speeds.
Most data centers today already operate at speeds like 800 gigabits per second. The industry is expected to move toward 1.6 terabit speeds by 2026. Photonics solutions like those from POET are key to achieving these rates
POET Technologies is a relatively small Canadian company with a market cap of $850 million, with primary focus on photonics for data centers. However, it has established partnerships with industry leaders such as Mitsubishi and Lumentum. These collaborations provide manufacturing scale and market access, giving POET a strategic advantage beyond direct competition.
According to CleaRank’s Shaun David:
“POET’s edge isn’t about beating the industry leaders at their own game. They focus on technological innovation and a simply brilliant business model based on partnerships, which effectively allows them to leverage the capital and capabilities of their partners in order to bring their single, unique, and efficient product to market and become a critical technology supplier”
In the broader photonics ecosystem, Marvell Technologies is acquiring Celestial AI, whose AI acceleration platform depends heavily on POET’s optical interposer technology. This deal, valued at around $3.25 billion, is seen as significant validation that optical interconnects are essential for next-generation AI infrastructure
The main hurdle for POET is time, everything is moving at lightning speed during the AI era and they must move fast despite dependence on partners. Success depends on winning high-volume production orders and executing quickly. However market conservatism could lead to further dilution and slow adoption.
Still, the strategic timing of its technology aligns with the AI data center buildout.
Shaun David explained his bullish stance:
“POET isn’t trying to reinvent data centers. It’s doing something far more meaningful by making an essential, deeply complex technology industrial and accessible.”
Our POET stock price prediction assumes that the company successfully becomes a critical photonics infrastructure supplier for AI data centers as the industry transitions from 800G to 1.6T and beyond. We modelled POET not as a component vendor, but as enabling infrastructure sitting inside hyperscaler supply chains.
Long-term revenue projections driven by optical interposers and Blazer engine adoption across AI data centers.
Positioning POET as the “TSMC of Optical Packaging” for AI infrastructure. Target price of $45 to $65 driven by valuation multiple expansion as POET shifts from early revenue to high-margin, high-volume industrial adoption.
To reach this forecast, we stopped valuing POET like a niche hardware supplier and started valuing it like critical AI infrastructure.
This is the same re-rating path seen in: ASML for lithography, TSMC for advanced node, and Nvidia for AI acceleration
POET sits one layer below compute, but without POET-style photonics, AI scaling stalls.
AI compute is no longer limited by GPUs alone, it’s limited by memory bandwidth and data movement.
POET Advantage:
Photonics enables higher bandwidth at lower power with less heat. POET’s optical interposer solves the translation problem between electrons and photons at the package level which is essential infrastructure.
POET’s Blazer product turns complex photonics into simplified plug and play modules. Customers do not need to design photonics and this results in faster time to market and lower
engineering risk.
This is how POET scales without building massive fabs and as volumes rise the margins will expand faster than revenue.
POET’s model avoids direct competition with industry leaders. Instead it partners with laser leaders, leverages partner manufacturing, and inserts its IP at the most critical layer
This allows POET to scale faster than its balance sheet would normally allow.
Bottom-up analysis of unit economics and valuation drivers (2028 to 2030).
Positioning POET as the “TSMC of Optical Packaging” for AI infrastructure. Target price of $45 to $65 driven by valuation multiple expansion as revenue shifts to high-margin industrial adoption.
| Driver | Assumption |
|---|---|
| Optical Engines Shipped | 4 to 6 million units |
| Avg Revenue per Unit | $180 to $220 |
| Core Product Revenue | ~$900M |
| Licensing & Custom Modules | ~$600M |
| Total Annual Revenue | ~$1.5B+ |
Even in a bullish scenario, there are both primary and secondary risks worth considering..
Validating the “Photonics Backbone” Thesis.
Signal: POET stops losing money per unit.
Signal: AI infrastructure validation.
Signal: Industrial adoption achieved.
Based on the CleaRank “Photonics Backbone” thesis, POET stock is forecasted to reach $45 to $65 by 2030. This assumes successful industrial adoption of its optical interposer technology as data centers transition to 1.6T speeds, driving revenue to approximately $1.5 billion.
POET solves the “AI Bandwidth Wall.” As AI processors (GPUs) become faster, traditional copper wiring overheats and slows down data transfer. POET’s photonics platform uses light to transmit data, which is faster, cooler, and essential for next-generation AI infrastructure.
POET has validated its technology through strategic partnerships with industry giants including Mitsubishi Electric (lasers), Lumentum, and Foxconn Interconnect Technology. Additionally, Celestial AI (recently acquired by Marvell) utilizes POET’s interposer for its AI acceleration platform, proving the technology’s value in high-performance computing.
POET’s primary competition includes Skorpios Technologies and internal silicon photonics teams at major foundries like GlobalFoundries and TSMC. While companies like Ayar Labsare often cited as competitors, they frequently operate in adjacent “chip-to-chip” markets rather than the optical engine market POET targets.
Analysts forecast that POET could reach a gross margin inflection point in late 2026. The company is currently in the “early commercial” phase, with significant revenue ramp-ups expected as 800G and 1.6T production orders are delivered to hyperscaler customers.
800G (gigabits per second) is the current standard, but 1.6T is the future requirement for AI. POET’s technology is specifically designed to excel at 1.6T and above, where traditional methods fail. The industry shift to 1.6T in 2026 to 2027 is viewed as the major catalyst for POET’s stock price re-rating.
For Informational Purposes Only The content provided in this article, including the “CleaRank POET Stock Price Prediction,” is for informational and educational purposes only. It should not be construed as professional financial advice, a recommendation to buy or sell securities, or an offer of investment services. The views expressed here are those of the author and CleaRank analysts based on available data and “Photonics Backbone” thesis modeling.
Risk Warning Investing in small-cap technology stocks like POET Technologies (NASDAQ: POET) involves a high degree of risk, including the potential loss of principal. The “Price Targets” and “Revenue Estimates” (2026 to 2030) discussed are hypothetical and based on assumptions regarding 1.6T adoption, partnerships, and market conditions that may not materialize. Past performance is not indicative of future results.
Forward-Looking Statements This article contains forward-looking statements regarding future events, including the adoption of optical interposers and AI infrastructure scaling. These statements are predictions, not guarantees, and are subject to significant risks, uncertainties, and market volatility. Actual results may differ materially from those projected.
Analyst Disclosure At the time of publication, CleaRank analysts do not hold a beneficial long position in the shares of POET Technologies. No compensation was received from POET Technologies or any third party for the creation of this specific report.
Kate Leaman is a seasoned financial analyst and writer with over a decade of experience covering global markets, trading strategies, and macroeconomic trends. She has written for a variety of well-known brokers and has been featured in Forbes, Yahoo Finance, Sky News, The Motley Fool, MSN and Investing.com.
Kate provides expert commentary on forex, equities, and commodities, blending analytical precision with accessible storytelling. Her work bridges institutional research and retail investor education, helping readers navigate market volatility and understand the forces shaping investor sentiment.
Recognised for her clear insights and grounded approach, Kate brings a sharp, data-driven perspective to everything from central bank policy to emerging trends in the global economy.