Samsung today unveiled the Galaxy A57 5G and A37 5G in Colombia, positioning them as the “new baseline” for mid-range Android devices in Latin America’s fastest-growing 5G market. These phones—packing a 6nm Snapdragon 6 Gen 3 SoC, 120Hz AMOLED+ displays, and Samsung’s latest AI stack—target a region where 5G penetration now exceeds 40% but affordability remains king. The A57 (₡12.9M COP) and A37 (₡9.8M COP) arrive as Samsung preempts Xiaomi’s Redmi K70 series and Google’s Pixel 8a, whereas quietly testing AI-driven monetization strategies in emerging markets.
Why This Launch Exposes Samsung’s AI Gambit in Emerging Markets
The Galaxy A57 and A37 aren’t just hardware—they’re a Trojan horse for Samsung’s Galaxy AI ecosystem, which the company is pushing aggressively in Colombia via partnerships with local fintech apps (like NuBank) and government digital identity projects. Unlike the U.S. Or Europe, where AI features are often bolted on as gimmicks, Samsung is embedding them into the core OS experience: real-time translation via the NPU (neural processing unit), on-device LLM inference for note-taking, and even AI-powered battery optimization that adjusts refresh rates based on usage patterns.
This matters because Colombia’s DANE reports that 68% of smartphone users cite “gradual performance” as their top complaint—yet only 12% of devices here ship with dedicated NPUs. By bundling AI as a performance feature (not a luxury), Samsung is reframing the conversation: AI isn’t just for flagships; it’s table stakes for mid-range devices in 2026.
The 30-Second Verdict
Snapdragon 6 Gen 3: 20% faster than the A54’s 4 Gen 2 in Geekbench 6 (single-core), but thermal throttling kicks in at 45°C—worse than Xiaomi’s Dimensity 7200 Ultra.
AI Stack: On-device LLMs (3B parameters) run locally, but Samsung’s API throttles after 500 queries/month unless you pay for “Galaxy AI Premium” (₡5,000 COP/month).
Camera: 50MP main sensor with Samsung’s ISOM 2.0 delivers 20% better low-light HDR than the Pixel 8a, but video stabilization lags behind iPhone 15.
Battery Life: 5,000mAh cells last 18 hours in mixed use—better than the A54’s 16 hours, but still below the Redmi K70’s 20.
Under the Hood: Snapdragon 6 Gen 3 vs. The Rest of the Pack
Samsung’s choice of Qualcomm’s latest mid-range chip is telling. The Snapdragon 6 Gen 3 integrates a Hexagon 740 DSP with a 1.8 TOPS NPU—enough to run Samsung’s Galaxy AI Core models locally, but not without trade-offs. Benchmarks from AnandTech show the NPU delivers 1.2x the performance of the A54’s 6 Gen 1 NPU, but at the cost of higher power draw.
Funciones Clave Ultra Core
Metric
Galaxy A57 (SD 6 Gen 3)
Galaxy A54 (SD 4 Gen 2)
Xiaomi Redmi K70 (DM 7200 Ultra)
NPU Performance (TOPS)
1.8
1.2
3.0
Single-Core (Geekbench 6)
1,250
980
1,320
Thermal Throttling Temp (°C)
45°C
40°C
38°C
AI Latency (ms)
80 (on-device)
120 (cloud)
60 (on-device)
Note: Xiaomi’s Dimensity 7200 Ultra outspeeds the Snapdragon 6 Gen 3 in raw NPU performance, but Samsung’s optimized AI SDK reduces latency by 30% through kernel-level optimizations.
Ecosystem Lock-In: How Samsung’s AI APIs Are Redefining Platform Control
Samsung’s push into AI isn’t just about hardware—it’s about software monopoly. The Galaxy A57 and A37 ship with Galaxy AI Services, a suite of APIs that developers can integrate into apps. But here’s the catch: these APIs are not open-source. Unlike Google’s ML Kit or Apple’s Core ML, Samsung’s tools require app review and mandatory attribution in the app store.
Funciones Clave Colombia Core
“Samsung’s move is a classic playbook: they’re using AI as a moat. By making their NPU-accelerated models the default for things like translation or note-taking, they force developers to either comply or rebuild their apps from scratch. In Colombia, where 72% of app usage is on Samsung devices, that’s a de facto standard.”
ME ABURRE!🤯SAMSUNG GALAXY A57 y GALAXY A37 REVIEW de NOVEDADES
This strategy has ripple effects. In Brazil, where Samsung controls 48% of the market, local fintechs like PicPay have already migrated to Samsung’s AI-powered fraud detection APIs, locking them into Samsung’s ecosystem. For developers outside Samsung’s partner program, the cost of non-compliance is high: apps using Google’s or Apple’s AI tools may observe 30% slower performance on Galaxy devices due to lack of NPU optimization.
Security Implications: The Hidden Cost of On-Device AI
Samsung markets its AI features as “private by design,” but the reality is more nuanced. The Galaxy AI Core framework relies on verified boot to secure model execution, but third-party apps using Samsung’s APIs must opt into this protection—meaning most won’t. A recent audit by Lookout found that 68% of apps using Samsung’s AI translation API fail to implement memory-safe coding practices, leaving them vulnerable to LLM prompt injection attacks.
“The problem isn’t the NPU itself—it’s the lack of sandboxing for third-party AI models. Samsung’s security model assumes all apps are benign, but in Colombia’s fragmented app ecosystem, that’s a risky bet. We’ve already seen proof-of-concept malware that exploits unpatched Galaxy AI APIs to steal biometric data.”
The Broader War: How This Launch Reshapes the Mid-Range Chip Market
Samsung’s aggressive pricing in Colombia—where the A57 undercuts the Pixel 8a by 40%—is a direct response to MediaTek’s Dimensity 7200 Ultra push in the region. But the real battle isn’t just about specs; it’s about AI-driven differentiation. While Qualcomm and MediaTek focus on raw performance, Samsung is betting that convenience will win in emerging markets. Their strategy hinges on three pillars:
Funciones Clave Colombia Ultra
Localization: Pre-installed apps like EPM’s digital utility tools and Ridueños (a local ride-hailing service) are optimized for Samsung’s AI stack, creating a feedback loop where users need a Galaxy device to access these services.
Subsidized APIs: Samsung is offering free access to its AI translation and summarization APIs for the first 3 months to developers in Colombia, effectively bribe them into building for its ecosystem.
This isn’t just about Colombia. Samsung is testing a model that could export to India, Indonesia, and beyond—markets where affordability and connectivity are the primary drivers. The question is whether regulators will let it slide. In the EU, the Digital Markets Act would classify Samsung’s API restrictions as self-preferencing, but Latin America’s lighter-touch regulatory environment leaves it wide open.
What This Means for Enterprise IT
For businesses deploying these devices in Colombia, the risks outweigh the rewards. While the A57’s NPU could theoretically accelerate enterprise ML workloads, Samsung’s lack of open-source attestation for its AI models means IT admins can’t verify their integrity. Samsung’s Galaxy AI for Business suite—promising “zero-trust” security—hasn’t been audited by NIST or ISO 27001, leaving CISOs in a bind.
The Takeaway: A Pyrrhic Victory for Samsung?
The Galaxy A57 and A37 are undeniably well-crafted devices, but Samsung’s AI strategy in Colombia is a double-edged sword. On one hand, it’s forcing competitors to innovate—Xiaomi’s upcoming Redmi K80 will likely ship with a more powerful NPU to counter Samsung’s move. On the other, it’s creating an artificial dependency on Samsung’s walled-garden APIs, which could backfire if local developers revolt or regulators intervene.
For consumers, the message is clear: AI isn’t free. The A57’s “smart” features come with strings attached—either via mandatory app reviews, paid API tiers, or hardware lock-in. In a region where 54% of users distrust AI-driven recommendations, Samsung’s gamble may not pay off. The real question isn’t whether these phones will sell—it’s whether they’ll last.
Sophie is a tech innovator and acclaimed tech writer recognized by the Online News Association. She translates the fast-paced world of technology, AI, and digital trends into compelling stories for readers of all backgrounds.
