Business
HSBC waters down 2030 climate targets for polluting sectors
HSBC has softened its 2030 targets for cutting planet-heating emissions driven by the financing of polluting firms.
The UK’s biggest lender released an update on its climate policies on Thursday after carrying out a review of its near-term targets over the last few months.
The review was launched in May at the same time that the bank announced it was pushing back its ultimate target to cut emissions across its supply chain to net zero by 20 years, from 2030 to 2050.
The bank cited a “slower pace of the transition across the real economy” and a “slower than envisioned” pace of decarbonisation globally.
HSBC’s updated policy now sets its targets for reducing its 2030 financed emissions for polluting sectors – such as oil and gas – as a range, rather than a single figure by 2030.
The lower end of each range is aligned with globally recognised scenarios that are consistent with limiting global warming to the key threshold of 1.5C.
Meanwhile, the upper bound would fit with a scenario of 1.7C warming.
For example, the bank said it aims to see reductions in financed emissions for oil and gas clients of between 14% and 30% by 2030, from the baseline year of 2019.
The document notes: “Our ability to meet these targets is dependent on a wide range of external factors, including the progress our customers make towards decarbonisation.”
HSBC said the policy reflects the reality of the transition’s uneven pace in the evolving geopolitical and macroeconomic landscape.
In the policy document, Georges Elhedery, HSBC group chief executive, said: “Against this wider landscape, we have refined our approach.
“Developed in the spirit of putting our customers at the heart of everything we do, our updated net zero transition plan reflects the realities of an evolving transition playing out very differently across the global economy – and the scale of opportunity it presents our customers.”
The bank said it is still on track to meet its target to provide or facilitate 750 billion – 1.0 trillion US dollars (£570-762 billion) in sustainable finance by 2030 and become a net-zero bank by 2050.
The changes come amid a wider trend of lenders softening their green commitments in the face of a global breakdown in political consensus over climate action.
Following in the wake of several major US lenders, HSBC became the first British bank to leave the banking sector’s global alliance for setting climate target earlier this year.
The Net Zero Banking Alliance recently ceased operations after the exodus of its members as Donald Trump returned to office in the US.
Campaigners criticised the move, with Louise Marfany, director of financial sector standards at ShareAction, calling the update “an egregious example of backtracking on climate that responsible investors will not tolerate”.
“This is profoundly irresponsible behaviour from one of the largest banks in the world at a time when extreme heat, droughts and floods exacerbated by climate change are destroying lives and wreaking havoc on economies around the world,” she said.
Hannah Bond, co-chief executive of ActionAid UK, said: “It’s high time corporations like HSBC were held accountable for their role in the climate crisis.
“By weakening its commitments ahead of Cop30, HSBC is sending a dangerous signal that it’s acceptable to walk away from promises to protect the planet.”
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Anthropic’s AI tools have triggered a sharp decline in Indian IT stocks like TCS, Infosys, Wipro, eroding Rs 3,11,873 crore in market value.
Anthropic’s valuation surpassed combined value of total IT firms in India
The entire Information Technology (IT) industry in India is battering with the existential threat, which comes on the heels of rising generative AI, posing doubts over the viability of their business model.
Stocks of the IT industries, including Tata Consultancy Services (TCS), Infosys, Wipro, etc., hit brutally over the past week. This was triggered with the launch of new AI tools by Anthropic’s Claude for Cowork, which is like an office teammate helping the user to do tasks such as file sorting, reading legal drafts, etc.
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Anthropic’s Valuation vs Nifty IT Index
Anthropic’s phenomenal valuation rise has surpassed the combined value of India’s top IT firms. Standing at a valuation of $380 billion, the US-based AI company has eclipsed India’s Nifty IT index, whose market cap was at $296.4 billion by the time of writing this report.
Investors are accelerating their exit from technology stocks as concerns intensify that advanced artificial intelligence tools could disrupt core segments of the global software and IT services industry.
This week alone, TCS, Infosys and HCL Technologies dragged 9-11 per cent.
The sharp correction has wiped out substantial investor wealth. Based on intraday lows, the combined market capitalisation of the top five domestic IT companies has eroded by nearly Rs 3,11,873 crore this week.
TCS emerged as the biggest laggard, losing Rs 1,28,800 crore in market value, with its market capitalisation slipping to Rs 9,35,253 crore. The fall also pushed it to the fifth-most valued listed company from the fourth position.
Infosys has seen its market capitalisation shrink by Rs 91,431 crore following a 15 per cent decline this week. HCL Technologies has lost Rs 53,647 crore in market value over the past five trading sessions. Wipro and Tech Mahindra have also recorded declines, with their market capitalisations falling by Rs 22,762 crore and Rs 15,233 crore, respectively, during the same period.
| Company Name | Mcap ($Billion) |
| Tata Consultancy Services | 107.4 |
| Infosys | 61.2 |
| HCL Technologies | 43.6 |
| Wipro | 24.8 |
| Tech Mahindra | 16.6 |
| LTIMindtree | 16.7 |
| Persistent Systems | 9.5 |
| Oracle Financial Services Soft | 6.4 |
| Coforge | 5 |
| Mphasis | 5.2 |
| Total | 296.4 |
Source: Bloomberg
Anthropic’s Recent Funding Round
Anthropic has recently raised $30 billion in Series G funding led by GIC and Coatue, valuing Anthropic at $380 billion post-money, as announced by the company in the press release.
The investment will fuel the frontier research, product development, and infrastructure expansions that have made Anthropic the market leader in enterprise AI and coding.
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February 14, 2026, 09:15 IST
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Business
Piyush Goyal Dismisses Rahul Gandhi’s Farmer Meet Video, Rebuts ‘Fake Narrative’ On India-US Trade Deal
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The minister offered a detailed reality check to counter what he termed ‘Rahul ji’s fakery’
Goyal reiterated that Prime Minister Narendra Modi’s policies are intrinsically linked to farmer welfare. (File Photo: PTI)
Union Commerce Minister Piyush Goyal has accused Congress leader Rahul Gandhi of orchestrating a “fake narrative” aimed at provoking India’s farming community. Responding to a video released on social media by the Leader of the Opposition on Friday, Goyal dismissed the interaction as a stage-managed performance featuring Congress activists masquerading as genuine farmer leaders. He asserted that the dialogue followed a predetermined script designed to mislead the public regarding the safeguards in the recent India-US trade deal.
Rahul Gandhi has alleged that “any trade deal that takes away the livelihood of farmers or weakens the food security of the country is anti-farmer”. He was pointing to the recently concluded India-US framework agreement for bilateral trade, which is expected to be signed after tweaks by the end of March.
Piyush Goyal offered a detailed reality check to counter what he termed “Rahul ji’s fakery”, placing on record that the Narendra Modi government has fully protected the interests of annadatas, fishermen, MSMEs, and artisans. The minister categorically clarified that sensitive crops like soyameal and maize have been granted no concessions whatsoever in the agreement, ensuring that domestic farmers remain shielded from competitive pressure. He criticised the opposition for repeating “baseless allegations” in an attempt to instill unnecessary fear among the rural population.
Addressing specific claims regarding apple and walnut imports, the minister provided a technical breakdown of the protectionist measures in place. He noted that while India already imports approximately 550,000 tonnes of apples annually due to high domestic demand, the new US deal does not allow unlimited entry. Instead, a strict quota has been established, far below current import levels, and subject to a Minimum Import Price (MIP) of Rs 80 per kg. With an additional duty of Rs 25, the landed cost of US apples will be roughly Rs 105 per kg—significantly higher than the current average landed cost of Rs 75 per kg from other nations—thereby ensuring Indian growers are not undercut. Similarly, for walnuts, the US has been offered a modest quota of 13,000 metric tonnes against India’s total annual import requirement of 60,000 metric tonnes, making it impossible for the deal to harm local producers.
Goyal also took a swipe at the historical record of the Congress party, pointing out the irony of its current stance. He reminded the public that during the Congress-led UPA era, India imported nearly $20 billion worth of agricultural products, including dairy items, which the current administration has strictly excluded from the US pact. He challenged Rahul Gandhi to explain his “betrayal of farmers” and questioned how much longer the opposition intended to peddle fabricated stories.
Concluding with the slogan “Kisan Surakshit Desh Viksit”, Goyal reiterated that Prime Minister Narendra Modi’s policies are intrinsically linked to farmer welfare. He maintained that the India-US agreement is a balanced framework that opens new markets for Indian exports like basmati rice and spices while keeping the nation’s agricultural backbone secure.
February 14, 2026, 05:29 IST
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Mesh Cube | Istock | Getty Images
The stock market has been quick to punish software firms and other perceived losers from the artificial intelligence boom in recent weeks, but credit markets are likely to be the next place where AI disruption risk shows up, according to UBS analyst Matthew Mish.
Tens of billions of dollars in corporate loans are likely to default over the next year as companies, especially software and data services firms owned by private equity, get squeezed by the AI threat, Mish said in a Wednesday research note.
“We’re pricing in part of what we call a rapid, aggressive disruption scenario,” Mish, UBS head of credit strategy, told CNBC in an interview.
The UBS analyst said he and his colleagues have rushed to update their forecasts for this year and beyond because the latest models from Anthropic and OpenAI have sped up expectations of the arrival of AI disruption.
“The market has been slow to react because they didn’t really think it was going to happen this fast,” Mish said. “People are having to recalibrate the whole way that they look at evaluating credit for this disruption risk, because it’s not a ’27 or ’28 issue.”
Investor concerns around AI boiled over this month as the market shifted from viewing the technology as a rising tide story for technology companies to more of a winner-take-all dynamic where Anthropic, OpenAI and others threaten incumbents. Software firms were hit first and hardest, but a rolling series of sell-offs hit sectors as disparate as finance, real estate and trucking.
In his note, Mish and other UBS analysts lay out a baseline scenario in which borrowers of leveraged loans and private credit see a combined $75 billion to $120 billion in fresh defaults by the end of this year.
CNBC calculated those figures by using Mish’s estimates for increases of up to 2.5% and up to 4% in defaults for leveraged loans and private credit, respectively, by late 2026. Those are markets which he estimates to be $1.5 trillion and $2 trillion in size.
‘Credit crunch’?
But Mish also highlighted the possibility of a more sudden, painful AI transition in which defaults jump by twice the estimates for his base assumption, cutting off funding for many companies, he said. The scenario is what’s known in Wall Street jargon as a “tail risk.”
“The knock-on effect will be that you will have a credit crunch in loan markets,” he said. “You will have a broad repricing of leveraged credit, and you will have a shock to the system coming from credit.”
While the risks are rising, they will be governed by the timing of AI adoption by large corporations, the pace of AI model improvements and other uncertain factors, according to the UBS analyst.
“We’re not yet calling for that tail-risk scenario, but we are moving in that direction,” he said.
Leveraged loans and private credit are generally considered among the riskier corners of corporate credit, since they often finance below-investment-grade companies, many of them backed by private equity and carrying higher levels of debt.
When it comes to the AI trade, companies can be placed into three broad categories, according to Mish: The first are creators of the foundational large language models such as Anthropic and OpenAI, which are startups but could soon be large, publicly traded companies.
The second are investment-grade software firms like Salesforce and Adobe that have robust balance sheets and can implement AI to fend off challengers.
The last category is the cohort of private equity-owned software and data services companies with relatively high levels of debt.
“The winners of this entire transformation — if it really becomes, as we’re increasingly believing, a rapid and very disruptive or severe [change] — the winners are least likely to come from that third bucket,” Mish said.
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