The New Wave of AI | Pensero Blog[Skip to content](#main) [Pensero](/) - Platform Measure - [Next movesWhat to improve, why, and what to do next](/platform/next-moves) - [Agentic ROICost per unit of delivered work](/platform/agentic-roi) - [AI DeploymentAdoption, output and quality of AI](/platform/ai-intelligence) - [Delivery IntelligenceOutput and flow by source](/platform/delivery-intelligence) Govern - [BenchmarkingCompare teams, agents and models](/platform/talent-benchmarking) - [Code QualityDefects and rework by source](/platform/code-quality) - [CapEx & FinanceCapitalization and spend allocation](/platform/capex-analysis) [Pensero MCPNewYour next moves in any assistant](/platform/mcp) - Use cases By role - [CEOs](/use-cases/roles-ceo) - [CTOs](/use-cases/roles-cto) - [CFOs](/use-cases/roles-cfo) - [Product leaders](/use-cases/roles-product-leaders) - [Engineering managers](/use-cases/roles-engineering-managers) - [Investors](/use-cases/roles-investors) Compare Pensero - [DX](/use-cases/competitors-dx) - [Swarmia](/use-cases/competitors-swarmia) - [Haystack](/use-cases/competitors-haystack) - [Span](/use-cases/competitors-span) - [Jellyfish](/use-cases/competitors-jellyfish) - [Waydev](/use-cases/competitors-waydev) - [LinearB](/use-cases/competitors-linearb) - [Faros AI](/use-cases/competitors-farosai) - [Larridin](/use-cases/competitors-larridin) - [Weave](/use-cases/competitors-weave) - [Exceeds AI](/use-cases/competitors-exceeds-ai) - [How it works](/how-it-works) - [Customers](/customers) - [Pricing](/#pricing) - Resources - [About](/about) - [BlogNews, tips, and dev culture](/blog) [Log in](/auth/login/)[Book a scoping session](/book-demo) [Log in](/auth/login/)[Book a scoping session](/book-demo) [Blog](/blog) / Article # The New Wave of AI If AI changes how work is produced, leaders must change how they observe performance. ![](/assets/hNGAYlQwmVs7dbzxUDLUbLa3Io.CyOtDgh4_298ofQ.webp) ![](/assets/aHHJTe8rMRUw3vhronp54jURux4.B4FF3eqv_zv7yV.webp)Bernardo Hernández·Co-founder·Mar 10, 2026 ![](/assets/ieaKmr5IzCMstfpPSXUMI24W5yY.BXQ655PI_IwNXE.webp) I’ve been working in technology for more than 30 years. I’ve seen the early internet when simply having a website felt revolutionary. I saw search reshape how information was discovered and monetized. I lived through the mobile wave, when the smartphone fundamentally changed behavior and compressed the world into a device in your pocket. I experienced cloud and SaaS turning infrastructure into utilities and software into recurring engines of value. Each wave created winners and casualties. Each one felt big. And each one required unlearning. But I have never seen need to learn so fast. Because what’s happening right now is bigger than anything I’ve seen. For the first time, machines are augmenting the one muscle we never had tools for: the brain. Previous waves extended our reach. They helped us distribute faster, store more, connect globally, automate processes. AI is different. It is not just improving execution; it is starting to augment cognition. It drafts, it reasons, it synthesizes patterns at scale. It compresses time between question and insight. In the conferences and conversations I’ve been having recently, I notice something interesting. The real divide is not technical capability. It is depth of understanding. **Some leaders see AI as a feature to add. Others see it as a shift in how work itself is structured.** The gap between those two groups is widening every day. And it’s not closing on its own. The people I admire most right now are not the ones building the fastest prototypes or announcing the loudest partnerships. They are the ones reading more, questioning more, experimenting quietly, and rethinking first principles. They understand that this moment is not about speed alone. It’s about comprehension. Every major wave in technology rewards those who understand the underlying mechanics early. Not superficially. Deeply. That was true with search, with mobile and with cloud. It will be even more true with AI. Because this time, we are not just digitizing workflows. We are reshaping how knowledge work itself gets done. How engineering teams operate. How decisions are made. How performance compounds… or silently deteriorates. And if AI is changing how work is produced, then we need to change how we observe that work. This is one of the reasons we built Pensero. Not to chase the AI narrative, but to understand with clarity how engineering performance evolves in this new reality. So the question I keep asking myself is simple: ***Am I giving myself enough time to truly understand what is changing and how it is impacting my company?*** Maybe you should ask yourself the same. Next step ## Find your level of AI in engineering See the 5 levels, from human-only to fully autonomous agents, and what moving up is worth. [See the 5 levels →](/how-it-works#levels) Next step ## Scope your audit in 30 minutes We look at your tools, AI agents and vendors and tell you what we would measure first. 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