Will Quantum Computing be a 5-Year Game or a Decades-Long Wait? - Related to agents, right, might, game, launches

InMobi CEO Might be Right About AI Doing 80% of Coding Jobs

AI coding tools have been both a boon and a bane for software engineers and developers. While many have managed to upskill themselves with AI and use the tools to multiply their output, some have expressed concerns about its impact on their jobs. Amidst this, Naveen Tewari, founder & CEO of InMobi, has fuelled the fire.

Tewari sounded an alarm over the future of software engineering jobs, predicting that AI will automate most coding tasks within the next two years. “I think my software engineers will go away. They will not have jobs in two years,” he introduced while speaking at the LetsVenture event last week.

He further revealed that InMobi is on track to achieve 80% automation in software coding by the end of this year. “My CTO will deliver 80% automation in software coding by the end of this year. We have already achieved 50%. The codes created by the machine are faster and enhanced, and they fix themselves.”.

He urged professionals to adapt, warning that even specialised jobs are at risk. “Upgrade yourself, don’t ask me to upgrade you. Because this is survival. The world underneath you is shifting.”.

InMobi has been aggressively integrating AI across its operations. Glance, its consumer tech platform, lately partnered with Google Cloud to develop generative AI solutions. In September, the SoftBank-backed firm secured $100 million in debt financing from MARS Growth Capital to accelerate AI adoption.

Social media has been filled with people reacting negatively to Tewari’s comments. While calling out the problems in InMobi’s software stack, including bloatware and bugs, developers on various platforms do not agree with Tewari’s comments. They say he is just jumping on the bandwagon of commenting on AI taking over jobs.

There have been several reports of companies using AI coding tools internally, leading them to rely less on the engineers.

Following the AI boom after ChatGPT, companies have been trying to call themselves AI companies. Many are adopting AI models or partnering with AI companies to implement them in the workplace.

While Indian companies were initially hesitant, AI use is now becoming more accepted, and there is a shift towards in-house development instead of relying on existing market solutions.

not long ago, a full-stack developer working in a product-based firm highlighted how the teams have been using AI tools extensively and have also built an in-house extension of VS Code to integrate into ChatGPT, Gemini, and Claude. The tool also has access to the corporation’s entire codebase.

Compensation for software developers has increased, but only for the senior developers. The number of coder openings has reduced over the years following the hiring boom after 2020.

“The middle-class engineer is dying. And they’re dying because they’re not needed anymore,” noted Greg Isenberg, CEO of Late Checkout. “We have product builders who happen to code. Armed with AI, they ship entire products in days.” It seems like many companies do not need these developers anymore.

While speaking with AIM, the head of operations of a firm setting up its GCC in Bengaluru, on condition of anonymity, noted that they aimed to hire around 150 engineers. The firm aims to recruit engineers skilled in AI tools, and are capable of exhibiting productivity equivalent to five engineers.

Product builders with AI are surplus, with frontier engineers being offered $500k and solo engineers outperforming teams with the help of AI tools. Projects are shipping in days, not months. A single developer can now accomplish what once required an entire team. Companies are streamlining their operations, reducing headcount, and redefining what it means to be a software engineer.

In a 2023 interview with The Atlantic, OpenAI CEO Sam Altman expressed, “A lot of people working on AI pretend that it’s only going to be good; it’s only going to be a supplement; and no one is ever going to be replaced.” “Jobs are definitely going to go away.”.

Gartner, the research and advisory firm, mentioned in its October analysis that AI will spawn new roles in software engineering and operations through 2027, requiring 80% of the engineering workforce to upskill.

This is similar to what Kunal Shah, the CEO of Cred, expressed earlier while explaining AI’s impact on professional competency. Shah compared AI copilots in coding to calculators in math: they can boost productivity but may also erode fundamental skills. He predicts that AI will dramatically alter the job market, leading to a sharp distinction between those who leverage AI and those who do not.

Companies will eventually compensate AI-enabled employees differently as productivity gaps widen. “The metric that will soon matter the most is revenue per employee,” Shah stated. “If one engineer is 20x more productive because of AI, why would a enterprise pay the same salary to someone who refuses to use AI?”.

This is increasingly coming true, and InMobi might be just one of them.

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Will Quantum Computing be a 5-Year Game or a Decades-Long Wait?

The narrative of real-time applications of quantum computing has been a topic of debate for a long time. While some believe that it will take just around five years for the industry to churn out useful computers, many others say that it’s going to be at least a two-decade-long process.

, the quantum computing market is expected to reach $1 to 2 billion annually by 2030. This only highlights the growth potential of this industry.

Last year, the United Nations General Assembly (UNGA) had declared 2025 as the International Year of Quantum Science and Technology (IYQ), and considering the recent developments in just the past two months, this prediction may as well come true.

With Amazon’s release of Ocelot, its new quantum computing chip, the race for computing has become even more competitive. The corporation claimed that compared to current approaches, the chip can reduce the costs of implementing quantum error correction by up to 90%.

When asked about his stand on Ocelot in the ongoing debate between two decades or five years of quantum, Andy Jassy, CEO at Amazon expressed in an intervew, “I’m hopeful that it’s more in the five-year range than it is in the 20-year range.”.

He further highlighted that many significant innovations, such as generative AI, appear to be “overnight successes” but are often the result of decades of foundational work.

For instance, while generative AI seems like a recent breakthrough, it is an evolution of AI research spanning over 50 years. The technology became impactful when it became more accessible and functional.

Jassy drew parallels with quantum computing, which has been in development for over a decade. He explained that such technologies often progress gradually before reaching a point where they solve previously intractable problems in a cost-effective manner.

This sudden leap creates the illusion of overnight success. However, Jassy emphasised that the “euphoria” following these breakthroughs requires careful evaluation to determine their long-term impact and sustainability.

In a recent statement, Microsoft co-founder Bill Gates mentioned that quantum computing could become useful within three to five years.

While acknowledging that unforeseen challenges might arise, Gates’ outlook points to he believes that the foundational breakthroughs needed for practical quantum applications are already in place or rapidly approaching.

Microsoft also lately presented Majorana 1, which it states to be the world’s first quantum chip utilising topological qubits. The corporation earlier claimed the chip will enable quantum computers capable of solving “meaningful, industrial-scale problems in years, not decades”.

Moreover, Hartmut Neven, founder and head of Google Quantum AI, has publicly stated that Google aims to release commercial quantum computing applications within five years. Last month, Neven expressed optimism about the timeline, and declared, “We’re optimistic that within five years we’ll see real-world applications that are possible only on quantum computers.”.

During an analyst event at CES, NVIDIA founder and CEO Jensen Huang suggested that bringing “very useful quantum computers” to market could take decades, citing the need for quantum processors, or qubits, to increase by a factor of 1 million.

“If you kind of unveiled 15 years… that’d probably be on the early side. If you unveiled 30, it’s probably on the late side. But if you picked 20, I think a whole bunch of us would believe it”, he unveiled.

This single statement from Huang triggered a massive selloff in the quantum computing sector, erasing approximately $8 billion in market value, .

The quantum computing companies’ stocks witnessed a sharp decline. For instance, IonQ shares fell over [website], Rigetti Computing dropped by [website], and D-Wave Quantum Systems saw its stock tumble down by [website] after Huang’s statement.

Speaking in a recent podcast, Meta CEO Mark Zuckerberg also expressed skepticism about the near-term potential of quantum computing. “I’m not an expert on quantum computing, my understanding is that it’s still quite off from being a very useful paradigm.”.

Moreover, Ivana Delevska, founder and chief investment officer at Spear Advisors, also concurred with the 15-20 year timeline, stating that it “seems very realistic”.

However, countering his claim, Quantum leaders were quick to challenge and form an alternative narrative. Alan Baratz, CEO of D-Wave Quantum Systems, dismissed Huang’s comments on quantum computing while calling them “dead wrong”. Baratz pointed to clients like Mastercard and NTT Docomo, who already use their quantum systems for business operations.

TODAY JENSEN HUANG introduced THAT QUANTUM COMPUTING WAS 20 YEARS AWAY FROM BEING USEFUL.

DWave Quantum $QBTS was down as much as 49% after these comments and ended the day down 36%.

The stock is up 1000% from the September lows.

The CEO of DWave says in this clip… [website] — amit (@amitisinvesting) January 8, 2025.

He acknowledged that Huang’s timeline might apply to gate-based quantum computers but argued it was “100% off base” for annealing quantum computers.

After Huang’s statement, J Keynes, a long-time investor in the quantum computing space, took to X to point out a big gap between the expectations of companies and academics regarding when quantum computing will take off. He believes it is time for the industry to show real results.

Moreover, he added that long-term investors require validation through performance, not just market enthusiasm. , just making progress in the lab or getting government contracts isn’t enough; there needs to be actual sales and practical uses that make money.

The past two months have underscored 2025 as a pivotal year in quantum computing, marked by significant breakthroughs, apart from Microsoft and AWS leading to increasing competition.

While Google’s recent quantum chip, Willow, took over the internet after its release for suggesting the possibility of a ‘multiverse’, many critics questioned the tech giant’s bold states. They stated the tech giant’s states were based on a flawed benchmark and that it has no real-world applications.

The chip even sparked a visionary exchange between Google CEO Sundar Pichai and SpaceX’s Elon Musk.

Beyond the notable advancements by these giants, other key players are making significant strides, further enriching the quantum landscape.

PsiQuantum, an American quantum computing organization, has unveiled its Omega quantum photonic chipset, designed for large-scale quantum computing applications.

Manufactured in collaboration with GlobalFoundries, Omega integrates advanced photonic components capable of high-fidelity qubit operations and efficient chip-to-chip interconnects.

The corporation plans to establish quantum compute centres in Brisbane, Australia, and Chicago, Illinois, by the end of 2027.

Meanwhile, Rigetti Computing and Quanta Computer have entered a strategic partnership to accelerate the development and commercialisation of superconducting quantum computing technologies.

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Salesforce Launches AgentExchange Marketplace for AI Agents

Salesforce on Tuesday launched AgentExchange, a marketplace for Agentforce, allowing partners, developers, and the Agentblazer community to build and monetise AI components. The platform supports businesses in the $6 trillion digital labour market.

AgentExchange includes over 200 partners, such as Google Cloud, Docusign, and Box, providing prebuilt solutions for AI agents. Businesses can discover, test, and purchase prebuilt actions, topics, and templates on the marketplace or within Salesforce’s agent-building tools.

AgentExchange is now live at [website] Prompt templates and topics can be listed and packaged immediately, while agent templates will be available for listing in April 2025.

AgentExchange builds on Salesforce’s AppExchange, which has facilitated over 13 million app installations. The new platform offers rigorously reviewed agent components that improve efficiency and automation across industries.

Mark Stewart, CEO of Goodyear, highlighted the potential benefits of the platform. “Accelerating our speed of execution is critical to Goodyear’s ability to deliver for our clients and maximise our end-to-end value proposition. We’re excited about the potential of the ready-to-use solutions from AgentExchange to enhance our speed, efficiency, and customer experience,” expressed Stewart.

Several partners have developed AI solutions for AgentExchange. Google Cloud builds Agentforce agents leveraging Google Search and Vertex AI to provide real-time data insights. Box enables AI agents to extract insights from unstructured data using natural language processing. Docusign facilitates agreement generation, signature routing, and status tracking. Workday streamlines employee workflows, including onboarding and benefits management.

Brian Landsman, EVP & GM, global business development & partnerships at Salesforce, compared the platform’s role to AppExchange. “With AgentExchange, we’re opening up Agentforce for partners, startups, and Agentblazers to participate in the digital labour market and build agentic AI on Salesforce.”.

AgentExchange offers multiple agentic components. Actions are prebuilt integrations that expand AI agent capabilities. Prompt templates provide reusable prompts, ensuring consistent interactions. Topics group actions to refine agent behaviour, and agent templates deliver comprehensive solutions combining multiple components.

Alice Steinglass, EVP & GM of platform, integration, and automation at Salesforce, emphasised the impact on businesses. “Now our developer community can directly tap the expertise of our partner ecosystem to get the right industry-specific solutions so they can build and implement AI agents.”.

Salesforce in recent times partnered with Google, integrating Google’s Gemini AI into Salesforce’s Agentforce. This allows agents to process images, audio, and video, handle complex tasks with Gemini’s multi-modal capabilities, and provide real-time insights using Google Search with Vertex AI.

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