Why last week\u2019s AI announcements should make every software founder pause \u2014 and every startup refocus.<\/p>\n
Last week, Anthropic announced a set of new agentic capabilities and domain-specific plugins \u2014 including legal workflows that sent visible ripples through the US software market. Stocks tied to legal tech, enterprise SaaS, data and knowledge work flinched. The so-called market analysts rushed to declare winners, losers, and the \u201cdeath\u201d of entire categories.<\/p>\n
That reaction, while dramatic, misses the real story.<\/p>\n
What we saw last week was not the disruption itself. What we saw wasn\u2019t a crack in the ice.<\/p>\n
It was a glacier breaking away, while most were still looking for fractures \u2014 it was a real shift which is going to reshape the software and start-up landscape<\/b>.<\/span><\/p>\n February 3, 2026 was the day when Vertical Software companies \u2018Felt the Ground Move\u2019.<\/p>\n Anthropic announced a major update to Claude Cowork<\/b>, introducing a set of agentic plugins that tailor Claude for real business workflows. These plugins enable Claude to go beyond simple chat and execute multi-step tasks specific to roles like sales, legal, marketing, customer support, finance, data analysis, and more.<\/span><\/p>\n This development was significant, there was a brutal sell-off in the markets – hundreds of billions ($) in combined market cap volatility, legal tech and financial services stocks in a single trading session in the US market alone. And the significance of Anthropic’s announcement wasn\u2019t that a legal plugin suddenly became better than lawyers or enterprise software overnight.<\/span><\/p>\n This development represents a shift from general language capabilities toward domain-aware, action-oriented AI<\/b>, signaling a new phase where Large Language Model providers are no longer gathering content and supplying intelligence<\/span>. <\/b>They are starting to<\/span> ship products and outcomes.<\/b><\/p>\n When an LLM stops being a horizontal assistant and starts behaving like a legal analyst, Markets understand this instinctively, but we\u2019ve seen this movie before.<\/p>\n In fact, it’s been a year since Marc Benioff, CEO Salesforce suggested that \u201cAgentic AI is a new labor model, new productivity model, and a new economic model\u201d<\/span><\/i>. So Anthropic\u2019s plugins simply made this uncomfortable truth harder to ignore.\u00a0<\/span><\/p>\n What\u2019s visible today \u2014 plugins, copilots, agents \u2014 is the smallest part of what\u2019s coming.<\/p>\n Frontier model companies have been explicit about one thing: they are no longer competing on prompts or model quality \u2014 they\u2019re competing to become the execution layer of software<\/b>, embedding reasoning, memory, tools, and actions into cohesive systems. And what the public sees is a constrained subset of the innovation that these companies have internally.\u00a0<\/span><\/p>\n The real shift is structural.<\/p>\n The plugins, copilots and agents are not the breakthrough \u2014 they are the disclosure boundary. Markets react not because the revenue disappeared overnight, but because the direction of capability became unmistakable<\/b>.<\/span><\/p>\n This is why incumbents are nervous. Now comes the uncomfortable truth \u2014 especially for startups.<\/p>\n \u201cIf your AI product only exists because today\u2019s LLMs aren\u2019t good enough yet, you don\u2019t have a moat \u2014 you have a countdown timer.\u201d<\/p>\n Because this is not a level playing field. This is a <\/span>compute-heavy, data-hungry, energy-intensive, distribution-driven race<\/b>, and the advantages sit squarely with hyperscalers, frontier model labs, and extremely well-funded enterprises with access to data and global reach.<\/span><\/p>\n The danger for startups isn\u2019t that some of them will fail immediately. The danger is that they will succeed just long enough to believe they have a moat \u2014 until the glacier shifts again<\/b>.<\/span><\/p>\n So this means the bar for differentiation has fundamentally changed.<\/p>\n Meta\u2019s CEO Zuckerberg confirmed that their focus will be to build out AI infrastructure<\/a> in the near future and are going to spend hundreds of billions of dollars.<\/p>\n Recently, NVIDIA\u2019s CEO Jensen Huang pushed back on the notion of software companies becoming irrelevant.<\/p>\n So yes, the focus of the large infra and LLM providers will be different and they will not win everywhere. They won\u2019t \u2014 because they <\/span>can\u2019t<\/span><\/i>. They are structurally disincentivized from:<\/span><\/p>\n This is why startups must go back – to first principles<\/b>.<\/span><\/p>\n Not \u201cWhat can this model do?\u201d But<\/p>\n At Melento, we always believed that<\/p>\n You cannot build a lasting company by arbitraging LLM pricing.<\/p>\n You cannot defend \u201cAI-first\u201d positioning if your product disappears when the model gets better.<\/p>\n \u201cThe real competition is happening below the waterline \u2014 in automated workflows, controls, accountability, and domain trust. That\u2019s where lasting companies will be built.\u201d<\/p>\n Our focus with Melento\u2019s<\/a> Collaborative Intelligence Platform<\/a> (CIP)<\/b> and <\/span>CLM Software <\/b><\/span><\/a>has always been clear:<\/span><\/p>\n In regulated domains like BFSI, value is not created by \u201cbetter prompts\u201d. It\u2019s created by embedding intelligence into approvals, controls, negotiations, compliance, and lifecycle governance<\/b>\u2014areas that require deep domain understanding and trust.<\/span><\/p>\n That\u2019s why we believe startups don\u2019t win by racing hyperscalers on breadth. They win by going deep. Because when the iceberg fully surfaces, deep domain expertise<\/b> and <\/span>execution\u2014not just agentic intelligence\u2014will be the real moat<\/b>.<\/span><\/p>\nWhat Just Happened (And Why the Market Reacted So Fast)<\/b><\/span><\/h2>\n
\n<\/span>a sales ops coordinator, a compliance reviewer, or a finance analyst, it begins to <\/span>collide directly with existing software value chains<\/b>.<\/span><\/p>\n\n
The Iceberg Beneath the Surface<\/b><\/span><\/h2>\n
\n<\/span> This is why investors react before revenue moves.<\/span>
\n<\/span>And this is why the phrase \u201cAI is just a feature\u201d is aging badly.<\/span><\/p>\nWhere Startups Still Win<\/b><\/span><\/h2>\n
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\n<\/span><\/li>\nThe Melento Point of View\u00a0<\/b><\/span><\/h2>\n
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