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A new SignalFire report challenges the prevailing narrative that AI will decimate software engineering roles, showing that engineers are actually the most resilient function in tech hiring for 2025.AI‑Cited Layoffs vs. Engineering Hiring ResilienceTech layoffs peaked in May, with AI listed as the top reason by outplacement firm Challenger, Gray & Christmas. Yet SignalFire’s head of research Asher Bantock notes a mismatch between the rhetoric and on‑ground hiring trends.Hiring Numbers Reveal a Modest 11% Drop for EngineersTotal hiring across large tech firms fell 25% from 2019 levels.Engineering roles declined only 11% in the same period.Engineers accounted for 55% of new hires in 2025 at the 12 “Tech Majors,” up from 46% in 2019.Early‑stage startups added 7% more engineers in 2025 than in 2019.Why Engineers Remain In‑Demand Amid AI HypeIndustry leaders, including Nvidia CEO Jensen Huang, argue that AI tools boost productivity rather than replace talent. The Jevons paradox suggests that greater efficiency expands the scope of work, creating “endless work” for engineers.What the Next Wave of AI‑Augmented Engineering Might Look LikeAs AI agents generate code instantly, engineers are pushed toward higher‑level problem solving and idea generation. Bantock predicts continued growth in engineering headcount as firms leverage AI to accelerate product development.

The Limitations of Fable Anthropic released its latest model Fable on Tuesday, billing it as a public and limited version of its powerful and much-hyped cybersecurity model Mythos. However, not everyone is happy with the restrictions, and a number of cybersecurity researchers and professionals have aired complaints online. The Guardrails Controversy “[Fable] rejects any request that could be tangentially cyber related. Even innocuous tasks like reading a blog post,” said Valentina “Chompie” Palmiotti, a well-known security researcher who works at IBM X-Force. When a prompt triggers its guardrails, Fable pauses the chat and says that its “safety measures flagged this message for cybersecurity or biology topics.” The Data Analysis The guardrails were put in place to limit the risk that Fable could be used to develop malware or compromise software. The restrictions on biology come from a similar concern around developing biological weapons. The Impact Analysis Despite the good intentions, many cybersecurity experts are still put off by the haphazard nature of the restrictions. Matt Suiche, a cybersecurity veteran, told TechCrunch that “if you ask it to write secure code, it assumes it is cybersecurity related work instead of software engineering best practices, and you get downgraded.” Fable is programmed to fall back to Claude Opus 4.8 if it hits a guardrail. The Prediction “It seems to be keyword based, so anything in the lexical field of ‘cybersecurity’ triggers the guardrails,” said Suiche. “But it is understandable as we are still in the early days and they are still adapting their guardrails. I am sure they are going to evolve over time as Anthropic and other frontier model companies will collaborate more with the current new generation of cybersecurity companies.”

The Launch of Claude Fable 5 Anthropic has made its most powerful AI model accessible to the general public for the first time through Claude Fable 5, a version of its Mythos model equipped with comprehensive safety guardrails. The launch represents a significant step in making advanced AI technology more widely available while maintaining strict safety protocols. Technical Capabilities and Limitations Claude Fable 5 excels in software engineering, knowledge work, and vision-based tasks. However, Anthropic has implemented hard safety limits in high-risk areas including cybersecurity, biology, chemistry, and distillation. In these sensitive domains, the model blocks responses and defaults to Claude Opus 4.8. Early data indicates that at least 95% of Fable sessions run entirely on the model's own responses, with fallbacks being rare occurrences. Market Strategy and Access Tiers Fable 5 is available through Anthropic's Claude API and consumption-based Enterprise plans. Currently, the model is included at no extra cost in Pro, Max, Team, and seat-based Enterprise plans through June 22. After this date, Anthropic will require usage credits, though plans exist to restore it as a standard subscription feature as soon as possible. Concurrently, Anthropic is deploying Mythos 5, a new version of the advanced model, to organizations already approved for access. Pricing and Enterprise Adoption The pricing for both Fable 5 and Mythos 5 is set at $10 per million input tokens and $50 per million output tokens—double the cost of Opus 4.8. This premium pricing reflects the model's advanced capabilities but may serve as a deterrent for widespread adoption. Many enterprises are already grappling with AI costs, with some reporting unexpectedly high bills or exceeding yearly AI budgets early. Despite these concerns, some organizations like Rakuten see significant value in Fable 5's self-reflection capabilities, which enable highly autonomous operations. Safety Measures and Data Retention Anthropic has implemented robust safety measures for Fable 5, including extensive stress-testing with jailbreak attempts. The company reports that internal and external red-teaming efforts failed to find universal jailbreaks over 1,000 hours of testing. As an additional safety layer, Anthropic is requiring a 30-day retention on all traffic, even for enterprises with previous zero-retention agreements. The data will be used exclusively to defend against complex attacks and identify false positives, potentially setting an industry precedent for mandatory data retention with powerful AI models. Performance Validation and Industry Impact Third-party testing has validated Fable 5's exceptional performance. Analytics company Hex reported that Fable achieved 90% on its core analytics benchmark for complex, long-running analytical tasks. Vibe-coding platform Base44 noted its superior capability for "one-shotting full apps" and excellent tool-calling functionality. AI-powered workspace Genspark reported that Fable outperformed all other models in evaluations, particularly excelling in UI design and game coding. These endorsements position Fable 5 as a leading model in its class, potentially influencing industry standards for AI performance and safety. Broader Context: Anthropic's Market Position The launch of Fable 5 occurs as Anthropic prepares to enter the public markets, positioning itself alongside OpenAI and Elon Musk's SpaceX in the competitive AI landscape. This move follows Anthropic's recent plea for major global AI labs to establish coordinated safety measures on frontier AI development. The company has warned that AI systems are advancing rapidly toward recursive self-improvement (RSI), where models could autonomously enhance themselves without human intervention. As Anthropic brings more powerful models to market, its approach to balancing accessibility with safety could shape industry practices for years to come.

The Launch of Claude Fable 5 Anthropic is bringing its most powerful AI model to the general public for the first time, but it’s doing it with guardrails. On Tuesday, the AI firm launched Claude Fable 5, the first publicly available version of its Mythos model. Capabilities and Safety Features Anthropic says Fable 5 excels at software engineering, knowledge work, and vision, but it comes with hard safety limits. In high-risk areas like cybersecurity, biology, chemistry, and distillation, the model blocks responses and falls back to Claude Opus 4.8. Data Analysis and Pricing Pricing for both Fable 5 and Mythos 5 is $10 per million input tokens and $50 per million output tokens, double the price of Opus 4.8. Early data shows at least 95% of Fable sessions running entirely on the model’s own responses. The Impact of Fable 5 on the Industry The launch of Fable 5 comes as Anthropic prepares to enter the public markets, alongside OpenAI and Elon Musk’s SpaceX. It also follows the AI firm’s plea urging major global AI labs to establish a coordinated brake pedal on frontier AI development. The Future of AI Development Anthropic warned that systems are advancing so rapidly that they may soon achieve recursive self-improvement (RSI), autonomously improving themselves without human intervention. The company stress-tested its classifiers with jailbreak attempts before releasing Fable 5 and will require a 30-day retention on all traffic to defend against complex and novel attacks.

The Lead Apple's Worldwide Developer Conference (WWDC) 2024 kicked off with a focus on software improvements and AI enhancements. Instead of diving straight into the highly anticipated AI-powered Siri, Apple's senior vice president of Software Engineering, Craig Federighi, led the keynote with a list of repairs and updates to the company's core software. Software Improvements Take Center Stage Apple addressed several long-standing issues, including a controversial design overhaul, a search function that needed improvement, and a file-sharing feature that often failed. The company also introduced a new slider to allow users to adjust the transparency of the Liquid Glass design language, which had received backlash for its readability and usability concerns. The Data Analysis iPhone and iPad apps now launch 30% faster. New photos appear up to 70% faster in the library. Files are transferred up to 80% faster when using AirDrop. The Impact Analysis Apple's decision to prioritize software improvements and foundation repairs before showcasing new AI capabilities suggests that the company believes it needs to shore up its existing offerings before asking users to trust it with more consequential AI features. This approach may help Apple regain user trust and credibility in the AI space. The Prediction As Apple continues to develop and refine its AI capabilities, we can expect to see more significant advancements in the company's software offerings. The revamped Siri, launching in beta later this year, is just the beginning. With Apple's focus on improving its foundation and addressing user feedback, the company may be poised to make a stronger showing in the AI market.

The Lead In the midst of Gaza's genocide, seven university students have found a way to pursue their education and offer a glimmer of hope to their community. They have opened an ice cream shop, Flora, on the coastal road in Khan Younis, southern Gaza. The Ice Cream Shop's Genesis The students, four studying medicine, two dentistry, and one software engineering, came up with the idea of opening the shop to fund their university courses. With Gaza's higher education system largely nonoperational since the genocide began in October 2023, the students saw this as their only chance to stay enrolled. The Financial Struggle The shop's initial investment was over $25,000, borrowed from family and friends. One student's mother sold a gold bracelet worth $1,000 to contribute to the shop. The team also used materials salvaged from their destroyed homes to construct the shop. The Impact Analysis The ice cream shop, Flora, not only provides a means for the students to fund their education but also offers a sense of normalcy and hope in a region devastated by war. The shop sells products at competitive prices, ranging from $1 to $7, making it accessible to the local community. The Prediction As the students continue to run the shop, they face challenges such as sourcing ingredients and managing debt. However, they remain determined to succeed, seeing their venture as a way to rebuild their lives and their community. The success of Flora could serve as a model for other young entrepreneurs in Gaza, showing that even in the face of adversity, resilience and determination can lead to a brighter future.

The Graduation Contrast: Celebration vs. RealityFor decades, the ritual of graduation in New York City’s Washington Square Park symbolized a seamless transition from academia to the workforce. However, for the class of 2026, that transition has become a precarious journey. While the visual spectacle of caps and gowns remains, the underlying economic reality has shifted dramatically. The joy of the ceremony is increasingly dampened by a 'no-hire, no-fire' environment where the churn of the labor market has stalled, leaving millions of new graduates competing for a shrinking pool of entry-level opportunities.The 'No-Hire, No-Fire' Labor StagnationThe current economic climate is defined by a paradox: there are still millions of open jobs, but the barrier to entry for new graduates has never been higher. According to the United States Bureau of Labor Statistics, while there are 6.9 million open jobs in March, hirings only increased marginally by 655,000 to 5.6 million. This stagnation suggests that the labor market is effectively frozen for new entrants.Job Growth Slowdown: The US economy added an average of 68,000 jobs per month in 2026, a sharp decline from 186,000 in 2024 and 251,000 in 2023.Sectoral Shifts: While healthcare and retail saw growth, white-collar sectors like financial activities and information services shed jobs.The Churn Rate: The quits rate is down, indicating that workers are staying in their positions rather than switching, which leaves little room for new graduates to move up.The Federal Workforce ShrinkageA critical factor exacerbating the shortage of entry-level roles is the drastic contraction of the federal government workforce. Since October 2024, the federal workforce has declined by 348,000, with an additional 9,000 jobs lost in April alone. This exodus is largely driven by government funding cuts, including a $4bn reduction in research funds from the National Institutes of Health (NIH).These cuts have forced major universities, including Duke University and Harvard University, to implement hiring freezes. Consequently, recent graduates like Julie Patel and Molly Howard are not only competing with their peers but also with experienced professionals displaced by these funding cuts, creating a 'last-in, first-out' dynamic in the public health and research sectors.AI as the New GatekeeperPerhaps the most disruptive force reshaping the entry-level landscape is artificial intelligence. The analysis from the Stanford Digital Economy Lab reveals a 16 percent decline in relative employment for early-career workers, particularly in software engineering and customer service. This trend is expected to intensify, with Goldman Sachs forecasting an average of 16,000 jobs cut monthly due to AI advancements.The impact is twofold: entry-level roles are being eliminated and replaced by automation, while demand for experienced workers remains stable. Furthermore, the hiring process itself has become a minefield. Applicants are now facing AI recruiters and an influx of 'fake applicants,' leading to response rates as low as 10 to 12 percent for recent graduates applying to 60 roles.Navigating the Post-Pandemic CycleDespite the grim outlook, experts argue that this is not uncharted territory. The unemployment rate for recent college graduates is currently at 5.6 percent, higher than the general population's 4.2 percent, but historically manageable compared to the 13.4 percent peak during the COVID-19 pandemic. However, underemployment remains a persistent issue at 41 percent.The consensus among university leaders is that while the structural challenges of AI and political uncertainty are new, the resilience of graduates is not. As Christopher Davis of LeMoyne-Owen College notes, the degree may secure an interview, but it is the 'soft skills'—particularly in-person networking—that will ultimately determine success in this hyper-competitive market.

The Vision for AI Coding Agents Cognition CEO Scott Wu made headlines again this week when his two-year-old AI coding agent startup raised $1 billion at a $26 billion valuation. Cognition is the maker of Devin, one of the first and, arguably, most successful AI coding agents. Devin, the CEO says, “naturally owns tasks end to end.” The Future of Software Development In fact, in the blog post announcing that raise, Cognition laid out a vision where “we are shifting to a world of self-driving software development.” So, could Devin replace, say, a mid-level L4 programmer? Yes, and no, Wu told TechCrunch. “We’ve never thought about it as replacing humans. I know it’s like a scenario, folks have said these things. It has never been our view.” Preserving the Joy of Programming Wu emphasizes that the goal is not to make human programmers obsolete. “We are all programmers ourselves,” he explained. “I started coding when I was nine.” He views agents as another layer of abstraction between envisioning a software product and producing it, similar to how visual development environments abstracted software creation away from machine instructions. The Role of Devin in Cognition Cognition says that Devin’s role in its own company is to ship nearly all the software. The company says that 89% of code committed by its engineers was committed by Devin, and the rest by local agents. Wu explains that his agent’s role is largely to do the kinds of long-tail maintenance tasks that many programmers don’t like to do anyway: bringing old software up to date; moving applications off one platform and onto another. The Future of AI Agents Wu predicts that agents will enter other fields where they will learn tasks, from customer service to medicine, but hopes the goal will be to augment human workers in those areas, too. “Code and software has been the first to move, but we’ll see this happen in all these other industries,” he predicts. “One thing that’s been clear to us since the beginning is, it should always be up to the human what to do … you really see this in software engineering, but I think it’s true in all these other professions too.”

OpenAI and Infosys announced a strategic partnership to embed OpenAI’s AI tools, notably the coding assistant Codex, into Infosys’ Topaz AI platform. The collaboration aims to accelerate software‑engineering modernization, legacy‑system upgrades, and DevOps automation for Infosys’ global client base. OpenAI‑Infosys Alliance to Embed Codex in Topaz AI Platform The integration will initially focus on three pillars: Software engineering productivity Legacy application modernization Enterprise‑wide DevOps automation Revenue and Market Signals Behind the Deal Key financial context: Infosys reported AI‑related services revenue of ₹25 billion (≈$267 million) in the December quarter, representing about 5.5% of total revenue. Shares of Infosys have fallen more than 22% year‑to‑date amid a broader sell‑off triggered by weak forecasts and concerns that generative AI could erode traditional outsourcing work. The partnership follows similar collaborations, such as OpenAI with HCLTech and Infosys with Anthropic, underscoring a trend of AI firms leveraging global IT services providers for scale. Implications for Indian IT Services and Global Enterprise AI Adoption This deal signals several industry shifts: Indian IT firms gain a direct distribution channel for cutting‑edge generative AI tools, potentially offsetting revenue pressure from slowing client spend. Enterprises can move from AI experimentation to large‑scale deployment faster, thanks to Infosys’ delivery capabilities across more than 60 countries. The collaboration reinforces the emerging ecosystem where AI model providers partner with system integrators to address integration, security, and compliance challenges at scale. Future Trajectory: Scaling AI Tools Across Enterprises Looking ahead, OpenAI is expanding its enterprise footprint through initiatives like Codex Labs, which already counts Accenture, Capgemini, CGI, Cognizant, PwC and Tata Consultancy Services among its partners. With over 4 million weekly active users of Codex, the Infosys partnership is poised to accelerate adoption in large, regulated industries. Analysts expect the combined reach of OpenAI and Infosys to drive a measurable uptick in AI‑enabled projects, potentially adding double‑digit percentage growth to Infosys’ AI services line within the next 12‑18 months.