This 5-year tech industry forecast predicts some surprising winners - and losers - Related to losers, launches, forecast, quanta, some

OpenAI Launches GPT-4.5, Runs Out of GPUs

After weeks of waiting, OpenAI has finally introduced [website], its latest and largest AI language model. It was internally referred to as Orion.

It is in research preview for ChatGPT Pro customers, offering more effective writing, knowledge, and a more natural, less hallucinatory experience. [website] is first being made available to ChatGPT Pro customers, with Plus and Team customers gaining access next week, followed by Enterprise and Education customers.

“[website] is ready,” posted OpenAI CEO Sam Altman on X. “It is a giant, expensive model. We really wanted to launch it to plus and pro at the same time, but we’ve been growing a lot and are out of GPUs.”.

Altman revealed that tens of thousands of GPUs will be added next week for the Plus tier, with hundreds of thousands more coming soon, all of which are expected to be fully utilised.

In the recent NVIDIA earnings call, CEO Jensen Huang stated the business’s inference demand is accelerating, fuelled by test-time scaling and new reasoning models.

“Models like OpenAI’s, Grok 3, and DeepSeek R1 are reasoning models that apply inference-time scaling. Reasoning models can consume 100 times more compute,” he expressed.

[website] was only trained with pretraining, supervised finetuning, and RLHF, so this is not a reasoning model. It is an extension of the GPT series of models, unlike the o series of models.

, the pricing for input tokens is $[website] per million tokens, while cached input tokens are available at a reduced rate of $[website] per million tokens. The cost for output tokens is $[website] per million tokens.

“This isn’t a reasoning model and won’t crush benchmarks. It’s a different kind of intelligence and there’s a magic to it I haven’t felt before.” added Alman.

The model is more computationally efficient, and offers a tenfold improvement over GPT-4.

In the livestream, the OpenAI team outlined the evolution of GPT models – from GPT-1 was barely coherent, to [website] became the first truly useful model, to [website] continuing this trend with incremental enhancements.

in the recent past, Anthropic released its Claude Sonnet [website] and xAI launched its Grok 3, competing in the same space.

Altman had previously presented the roadmap for GPT-5. OpenAI’s goal is to combine its large language models to eventually create a more capable model that could be labeled as artificial general intelligence, or AGI.

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Rigetti Computing, a California-based developer of quantum integrated circuits, and Quanta Computer, a Taiwan-based notebook computer manufacturer, ha......

Rigetti, Quanta Partner on Superconducting Quantum Computing

Rigetti Computing, a California-based developer of quantum integrated circuits, and Quanta Computer, a Taiwan-based notebook computer manufacturer, have entered a strategic collaboration to accelerate the development and commercialisation of superconducting quantum computing.

The agreement involves investing more than $100 million by each enterprise over the next five years, leveraging their complementary strengths. Quanta proposes to invest $35 million in Rigetti and acquire a stake in the enterprise. However, the enterprise is awaiting approval on this.

The partnership aims to capitalise on the growing quantum computing market, which is expected to reach $1-2 billion annually by 2030.

Superconducting qubits offer advantages such as fast gate speeds and established manufacturing techniques from the semiconductor industry.

Subodh Kulkarni, CEO of Rigetti, highlighted both companies’ complementary strengths, noting Rigetti’s pioneering position in superconducting quantum technology and Quanta’s expertise as a leading notebook/server manufacturer with annual sales of $43 billion.

This collaboration positions them to benefit from the rapid growth anticipated in the quantum computing sector over the next five years.

In recent months, the quantum computing sector has faced significant market fluctuations.

A notable example was when NVIDIA CEO Jensen Huang suggested that “very useful quantum computers” could be 15 to 30 years away, leading to a sharp decline in quantum computing stocks.

This statement erased approximately $8 billion in market value, causing substantial stock drops in companies like IonQ, Rigetti, and D-Wave.

Despite this, industry leaders resisted, arguing that quantum computing already delivers tangible results, particularly in areas like annealing quantum computers and hybrid systems.

Google, Microsoft, and AWS’s recent developments also highlighted progress in quantum computing, showcasing the potential for quantum systems to solve complex problems much faster than classical computers.

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This 5-year tech industry forecast predicts some surprising winners - and losers

Smartphone sales will grow in fits and starts, while tablet demand will wane. Large language models (LLMs) will boom, and demand for data management solutions will soar.

Also: Crawl, then walk, before you run with AI agents, experts recommend.

These technologies will be "hot" -- or "not" -- over the coming five years, as projected by ABI Research in its latest enhancement on technology markets through 2029. Some surprises emerged. The consultancy examined 66 essential tech market shifts, with 33 poised for growth and 33 facing contraction. Below are eight leaders and eight laggards.

Large language models: LLMs will see 35% compounded annual growth over the next five years, ABI predicted: "Enterprise software spending on LLMs continues to grow rapidly as proofs of concept mature into scaled deployments embedded across entire companies."

Data management tools. The exponential growth of cutting-edge technologies such as machine learning and generative artificial intelligence (Gen AI) will generate more than $200bn worth of data management opportunities worldwide by 2029: "The emergence of sovereign clouds underscores the need for more effective protection of personal and sensitive data."

Also: Enterprises are hitting a 'speed limit' in deploying Gen AI - here's why.

Smart home devices: ABI predicted technology offerings for home safety, security, and convenience will see a compound annual growth rate (CAGR) of 14% through 2029, reaching total shipments of 500 million.

Smart glasses: "High-value extended reality use cases and novel devices like AI-enabled smart glasses will propel enterprise XR adoption, which will reach [website] million shipments by 2029," ABI showcased.

Humanoid robots. Shipments of life-like robots "will pick up pace in 2025, reaching over 180,000 per year by 2030 -- regardless of technological maturity and practical value," forecasted ABI. "Driven by lowering costs and novelty, humanoid robots for service, hospitality, and entertainment will buoy demand in the near term."

Security software and services: High demand for 5G-based network security software and services will drive a CAGR of 30% for software and 35% for services. "A dearth of available experts," noted ABI, "prevents the growth of in-house security teams and drives the need for managed solutions."

Also: I was an AI skeptic until these 5 tools changed my mind.

Warehouse management systems: Investment will reach $[website] billion, "driven by the introduction of advanced planning and analysis capabilities, as well as the increasing numbers of connected devices and automated material handling solutions requiring orchestration."

Data analytics for overall equipment effectiveness (OEE): ABI expressed these solutions will grow at a CAGR of 13%: "With the increasing importance of data utilization, along with the never-ending goal for complete transparency into factory-floor operations, OEE is making a resurgence as a key stepping stone to effectively tackle these issues."

Tablet computers: Despite a 7% increase in 2024, tablet shipments will decline slowly through 2029, ABI predicted: "However, future demand may be driven by improved cellular attach rates with more aggressive pricing, new form factors -- foldable/flexible displays -- and adoption of AI attributes."

Smartphones: Though ABI projected [website] billion smartphone shipments over the next five years, the market "has been maturing with demand being hampered not only by economic headwinds in recent years but also by a lack of compelling upgrades and lengthening replacement cycles." However, adding Gen AI to smartphones could provide a boost.

Also: Intel touts new Xeon chip's AI power in bid to fend off AMD, ARM advances.

Datacenter CPU chipsets: Declining from a 26% market share to 18% within the next five years.

Industrial blockchain: Revenue will fall almost 2% annually: "Most applications for industrial blockchain have failed to move past the pilot stages into successful commercial offerings," stated ABI. "Many of these do not provide a compelling enough use case that cannot be fulfilled by other technologies -- private networks, sovereign clouds, and emergent confidential computing technologies."

Cloud hyperscalers: "By 2029, with 7,800+ data centers globally, cloud hyperscalers face intense competition from colocation data centers as enterprises turn to localized entities," ABI stated. "Colocation facilities allow enterprises to partner with local providers that understand the local regulatory landscape, allowing greater control over their data and infrastructure."

Also: Most US workers don't use AI at work yet. This study points to a reason why.

Security hardware: The CAGR for the next five years will remain modest at 7%, ABI predicted, buffeted by "the growing prevalence of software-based alternatives to traditional hardware security tools such as firewalls."

Robotics offline programming software: "Revenue will grow at a modest [website] annual rate, resulting in turbulent years for smaller software vendors. For robotics automation, service providers and original equipment manufacturers must provide programming software at a minimal cost to demonstrate the working viability of their products," .

Tethered and mobile-based VR devices: Shipments of these devices will plateau, stated ABI, "accounting for only 34% of all shipments by 2029. While standalone VR devices are expected to continue to see shipment growth over the next five years, the rate of growth is slower than previously expected."

Also: OpenAI's Deep Research can save you hours of work - and now it's a lot cheaper to access.

Even one year out, the future is difficult to predict in the fast-changing technology industry. However, ABI research displays the market favors more intelligent, cost-effective solutions. The researcher's projections are a guide to where the market will shift.

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