Articles published under this byline come from the GetCoreTech editorial desk rather than a single named writer.
A person reviews and takes responsibility for everything that publishes here, and we log corrections publicly. If you think something is wrong, tell us through the contact page.
See how we use AI on the AI disclosure page, and the corrections log for errors we've fixed.
Dallas-Fort Worth has turned drone delivery into a habit, with dozens of sites and customers ordering three times a week. Amazon's "nearly 500 cities" claim describes a rollout target, not where drones deliver today.
Amazon missed a binding FCC deadline, states are steering rural broadband money to satellite before the speed data supports it, and India's market is stuck on security. The money and politics have outrun the proof.
Open-weight models trail the closed frontier by about four months, yet enterprise use of them fell from 19% to 11%. The gap that now matters is trust, not benchmark points.
The confirmed record is 260K at nearly 200 gigapascals, not the viral ambient-pressure claims that keep failing replication. The gap between what is confirmed and what is shared hasn't closed in three years.
Digital twins are running inside a Gatorade plant, a French train station, and hospital scheduling offices. None of it looks like the virtual-city pitch, and the risks rarely make the case study.
The best BCIs move information out of the brain at about 10 bits per second, a limit that may belong to the brain, not the hardware. Five companies have implants in patients, and none is approved for sale.
A Chinese producer has matched the price of coal-based hydrogen, but almost everywhere else the gap is still measured in multiples, and the main US subsidy just lost five years.
Figure AI and Agility Robotics have logged real shifts at BMW and GXO, while Tesla's Optimus is still listed as under construction and Atlas won't reach a Hyundai assembly line before 2028.
The space solar pilot furthest along isn't beaming power to Earth. Star Catcher is selling orbit-to-orbit power contracts while China's and Japan's flagship demos remain a ground test and an unlaunched satellite.
Small modular reactor deals are a rounding error next to data center spending, and the one flagship project under construction won't generate power until 2030 at the earliest.
Bioprinted ears, skin, and cartilage are in patients or trials. Whole vascularized organs are still stuck behind the oxygen-diffusion limit, and the closest lab-made kidney is a gene-edited pig organ.
Deloitte's $566 billion lunar economy is a 2050 projection. What's actually happening in 2026 is one full landing success in seven attempts, a cancelled NASA contract, and revenue growth driven by defense and satellites.
The $44.5 billion low-code figure is a 2023 Gartner forecast, not a 2026 finding. The real shift is analysts relabeling the category as AI-native tools compete for the same build-without-engineers budget.
Two different moves are being called "off the cloud": enterprises repatriating AI inference to private data centers for cost reasons, and a smaller set of workloads moving to the true edge because of latency.
The heat under Utah was always there. What changed is that oilfield drilling techniques cut well costs fast enough for Google to sign the largest enhanced-geothermal deal ever, while a design that skipped them struggles.
No 6G network will carry a commercial call before 2030, but standards, spectrum, and AI-native radio gear are moving on four separate clocks, and only one has a date fixed in writing.
WASI 0.3 and the Component Model made server-side Wasm real, and Akamai bought Fermyon. But only 31% of cloud-native developers use it in production, and missing threading keeps it off general backends.
A coding agent deleted a production database in nine seconds with no attacker involved. Real incidents show what OWASP's "Excessive Agency" risk looks like.
SpaceX priced at $1.77 trillion and OpenAI and Anthropic filed to go public — but 800 mature private companies remain stuck, with no pipeline behind them.
Encrypting data while it's actively processed used to be a compliance checkbox — now frontier AI labs treat it as critical defense for model weights.
ServiceTitan grew 25%, Toast grew 23% — both beating Salesforce and HubSpot on growth and retention. Here's the earnings data and why it's happening.
Google has lost twice, Meta won, Apple may settle, and Amazon's trial keeps sliding. Here's where the Google, Apple, Amazon, and Meta cases actually stand.
Research shows "model collapse" is real under one training pattern and avoidable under another — the difference comes down to one design choice.
Companies are cutting broad headcount while aggressively hiring for AI roles. Data shows these are two separate trends, not direct substitution.
65% of buyers have rejected a vendor over data residency. The EU's new CADA framework turns "where's my data" into a graded, four-tier legal test.
The "86% of CIOs" repatriation stat is misleading — real movement is narrow, workload-specific, and rarely announced publicly.
Gartner predicts most enterprise AI models will be domain-specific by 2028. Here's why narrow, specialized models are beating general ones on key tasks.
Boards brought founders back at Workday, Hootsuite, and Bumble for AI-era leadership. The five-year stock data tells a more complicated story than that.
Gemma 4 jumped from 20.8% to 89.2% on AIME math at similar size — new research shows exactly when distillation works, and when it doesn't.
A court ruling cracked open Chrome's data moat, and OpenAI, Perplexity, and Atlassian bet big on AI browsers — but one already shut down.
Gartner calls multi-agent AI its top 2026 trend. New research puts failure rates as high as 86.7% — and traces most of it to coordination, not weak models.
A March 2026 breach that took an AI agent two hours to execute helped push AI security spending toward $2.8 billion this year alone.
A Stanford randomized trial and a University of Pittsburgh study both found RTO mandates don't boost productivity — they mainly drive away top talent.
Corporate VCs made fewer deals in 2026 but wrote far bigger checks — 82.6% of all U.S. venture dollars. Here's how AI exposure is driving the shift.
"Vibe coding" produced worse code, data shows. Now developers write specs and let AI agents implement — here's how spec-driven development works.
Software is being rebuilt to serve AI agents, not just humans. Here's the real infrastructure behind "agentic SaaS" — and why Gartner expects 40% to fail.
AI agents fail silently, returning confident, wrong answers with no error thrown. Here's how teams are building observability to actually catch it.
Amazon, Microsoft, Google, and Meta are building their own gas and nuclear plants for AI data centers — because grid connections now take five to eight years.
87% of organizations say they're working on post-quantum crypto, but only 7% have actually deployed it. Here's what's really slowing enterprise migration.
MCP became the standard for connecting AI to tools — then just tore out its own core architecture. Here's how it works and what changed.
A new statistical model doesn't ask "is AI a bubble" — it finds Alphabet specifically shows bubble-like exuberance while the sector overall doesn't.
Most enterprises claim to be "doing zero trust," but Gartner says only 10% will have a mature program by year's end. Here's the data behind the gap.
The PLG-vs-sales-led debate is mostly settled — 60% run hybrid. The real 2026 gap is AI-native companies converting trials at nearly double the rate.
Usage pricing shows a real 10-point retention edge over seats — but buyer spend data shows adoption is still stuck at 4-6%. Here's what's really happening.
New FASB accounting rules and the GENIUS Act cleared the two biggest blockers to corporate stablecoin use. Here's why Stripe, Meta, and Mastercard moved fast.
There's no single "good" NRR anymore. See 2026 benchmarks by segment — enterprise, mid-market, SMB, and the very different AI-native retention curve.
Real breach data, real outage postmortems, and a practical blueprint for hardening and scaling a SaaS product — without the vendor-brochure numbers.
A category-by-category look at which growth tools are actually gaining ground in 2026 — backed by Gartner, IDC, Forrester, and McKinsey data, not vendor marketing copy.
The old "top 10 AI tools" list ages fast — several of the tools on the original version have since renamed, repositioned, or been retired outright. Here's what's actually current in mid-to-late 2026, and what each tool is genuinely good for.
Nearly every tool on the standard "workflow automation" list has rebuilt itself around autonomous AI agents in the past year — including one, formerly Intercom, that's now being acquired by Salesforce. Here's what's actually changed and what still just works.
Waterfall, Agile, DevOps, and five others — what each software development model actually does, the tradeoffs, and how real teams are picking between them in 2026.
Three real, documented AI failures from 2025 — a hiring-bias lawsuit, a self-driving car recall, and a support bot that invented a fake policy — and what each one actually teaches about deploying AI in production.
Cloud waste just rose for the first time in five years, driven largely by AI workloads — here's what SaaS FinOps actually means in 2026, which tools changed hands, and where to find the real standards body behind the practice.
Agentic AI isn't a separate technology from generative AI — it's generative AI with planning, memory, and tool use layered on top. Here's how the two actually relate, and what changed since "agentic" became the industry's biggest buzzword.
Treating deploy pipelines, feature flags, and observability as product-facing practices — not back-office plumbing — is a real shift in how growing SaaS teams work. Here's what that actually looks like, without the invented ROI math.
Startups don't need a data team to get real value from their data anymore. Here's what AI actually does differently in today's visualization tools — and which real, current tools to look at instead of vague "AI-powered dashboard" marketing.
Every major SaaS workflow tool now sells an AI agent story. Here's what the real resolution rates, pricing, and revenue data actually show once you strip out the invented statistics.
Early churn is real and well-documented — but the specific lift numbers behind most 'UX fixes SaaS retention' advice don't hold up. Here's what current research actually supports.
Agentic AI isn't a new species of AI — it's a generative model wired into a loop that lets it plan, use tools, and act toward a goal with minimal prompting. Here's what that loop actually looks like, how agents really connect to tools, and where the genuine risks sit.
Cross-platform frameworks, on-device AI, and post-quantum security are genuine 2026 mobile trends for SaaS teams — but the specific lift numbers and 'quantum computers can already crack RSA' claim behind a lot of this advice don't hold up. Here's the corrected version.
For the first time in Python's history, neither Django nor Flask is the most-used web framework. FastAPI is — and the shift is driven largely by AI and LLM workloads.
The BLS projects 28–29% job growth for information security analysts through 2034, and the global workforce gap already sits at nearly 5 million unfilled roles. Here's what's actually changing in how the next generation of defenders gets trained.
The 2025 update to the OWASP Top 10 for LLM Applications added a category called "Excessive Agency" — a direct response to AI systems that now act on their own. Here's what actually changed, and the real frameworks worth knowing before you deploy AI anywhere near sensitive data.
GlassWorm started as invisible-Unicode tricks hidden in a handful of VS Code extensions. Eight months and five waves later, it had poisoned hundreds of GitHub repos — until CrowdStrike, Google, and Shadowserver cut its command-and-control off at the root.
Since December 2023, the SEC has legally required public companies to name an accountable executive for cybersecurity and disclose material incidents within 4 business days. That's the real reason cybersecurity leadership became a boardroom job — here's what it actually takes to be ready for it.
79% of ransomware attacks now start with a stolen identity, not a software bug. Here's what that shift means for how AI actually detects and stops these attacks — with the 2026 data to back it up.
One flawed software update from a single security vendor once crashed 8.5 million Windows devices worldwide in under two hours. That's not a hypothetical — it's the clearest evidence yet of what happens when the world's digital safety net runs through a small number of private companies.